Month: September 2026

Intent-Based Marketing: Using Buyer Intent Data for B2B Lead Generation

Post author By Akshay Purohit
Post date September 28, 2026
No Comments on Intent-Based Marketing: Using Buyer Intent Data for B2B Lead Generation

Your ICP shows who could buy. Intent data shows who's researching now, but intent is a signal, not proof of purchase.

B2B marketing often starts with who a buyer is: their job title, industry, company size, revenue, or technology stack. Those signals help define a good-fit prospect, but they do not tell you whether that company is actually researching a solution today.

Intent-based marketing adds that missing layer.

Instead of treating every account that fits your ideal customer profile as equally valuable, intent-based marketing looks at behavioral signals that indicate active research. These signals can come from your own website and channels, partner platforms, review sites, or broader B2B web activity.

Used properly, intent data helps marketing and sales decide which accounts deserve attention, what they may be researching, and when outreach is more relevant.

What Is Intent Data?

Intent data is behavioral information that indicates an account or buyer may be researching a particular problem, product, service, or solution.

For example, imagine a marketing director who repeatedly searches for marketing analytics software, reads comparison content, visits vendor websites, and downloads a guide about dashboard implementation. Those individual actions do not prove that a purchase is imminent. Together, however, they create a stronger buying signal than company demographics alone.

That distinction matters. Intent is a signal, not proof of purchase. Strong B2B teams combine intent with account fit, engagement, CRM information, buying-group data, and other business signals before deciding how to act.

This is what makes intent-based marketing useful. It does not replace your ICP or lead-scoring model. It adds behavioral context that can help your team prioritize accounts already showing signs of active research.

The Three Types of Intent Data

Intent data is commonly discussed in three categories: first-party, second-party, and third-party intent data. Each provides a different view of buyer behavior.

First-Party Intent Data

First-party intent data comes directly from your own digital properties and systems.

Typical signals include website visits, product or pricing-page views, content downloads, form submissions, email engagement, webinar registrations, and CRM or marketing automation activity. Because these actions happen within your own ecosystem, they provide direct evidence that someone has interacted with your brand.

The limitation is reach. First-party data can tell you what known or identifiable visitors are doing on your properties, but it cannot show you every company researching your category elsewhere.

That makes first-party intent particularly valuable for identifying depth of engagement once an account has entered your orbit.

Second-Party Intent Data

Second-party intent data is information another organization has collected through its own first-party interactions and makes available through a partnership, integration, or data arrangement.

A common example is buyer activity on software review platforms. Research activity on platforms such as G2 or TrustRadius can provide signals that a company is evaluating a category, vendor, or competing solution.

Second-party data can be useful because it adds context that your own website cannot provide. A buyer may never visit your site while actively researching your category on a review or comparison platform.

Third-Party Intent Data

Third-party intent data comes from external sources that aggregate research activity across a broader network of websites, publishers, platforms, or other digital properties.

This can reveal accounts researching your category before they interact with your brand directly. Providers use different data sources and methodologies, so coverage, identity resolution, topic depth, privacy practices, and signal quality can vary significantly between vendors.

For that reason, buying the largest volume of intent data is not necessarily the goal. What matters is whether the signals are relevant to your market and actionable for your sales and marketing teams.

How Intent-Based Marketing Works in Practice

Intent data becomes valuable when it changes what your team does.

Suppose your ICP contains 1,000 target accounts. Firmographic data may tell you that 300 are a strong fit. Intent data can add another layer by showing which of those accounts are actively researching topics connected to your offering.

That can change the order in which marketing and sales engage them.

A practical workflow looks like this:

Identify → Enrich → Detect → Prioritize → Personalize → Measure

First, define the accounts that fit your ICP. Then enrich those accounts with relevant firmographic, technographic, and contact information. Next, monitor intent signals and identify accounts showing meaningful research activity.

From there, prioritize accounts using intent alongside fit and engagement. Marketing can adjust content, advertising, and nurture activity, while sales can use the available context to make outreach more relevant.

Finally, measure what happened. Look beyond clicks and engagement to account progression, sales conversations, opportunities, pipeline, and revenue.

Where B2B Teams Can Use Intent Signals

Intent data can influence several parts of a B2B demand-generation program.

Content and messaging: If an account is researching a specific problem, content can be aligned with that problem rather than relying on generic industry messaging.

Paid advertising: Intent signals can help focus campaigns on accounts showing relevant research behavior instead of treating every account in the ICP equally.

Sales outreach: Sales teams can use account-level intent topics as context for deciding which accounts to contact and what conversation may be relevant.

Lead and account prioritization: Intent can become another input into scoring models, helping teams distinguish between a good-fit account and a good-fit account that is currently active.

Nurture programs: Different levels of research activity can support different content journeys. Early research may call for educational material, while active vendor comparison may call for proof, differentiation, or implementation information.

ABM activation: Intent can help identify which target accounts deserve more immediate attention within an account-based marketing program.

The important point is that intent should trigger an action, not simply populate another dashboard.

Why Intent-Based Marketing Matters

It Helps Find Demand Earlier

Traditional lead generation often waits for a visible conversion such as a form fill, demo request, or sales inquiry.

Intent signals can provide visibility earlier in the research process. An account may be actively evaluating a category without ever visiting your website or submitting a form. Third-party and second-party signals can help bring some of that otherwise hidden research activity into view.

It Makes Prioritization More Precise

A strong ICP tells you who could buy.

Intent data adds context about who may be researching now.

That distinction can help marketing and sales allocate time more intelligently. Rather than giving the same level of attention to every qualified account, teams can use current behavioral signals to identify accounts that warrant closer attention.

It Improves Outreach Context

Intent data is most useful when it gives a salesperson something meaningful to work with.

Knowing that an account is researching “marketing automation” is more useful when that information can be combined with the account’s industry, existing technology, business situation, relevant stakeholders, and previous engagement.

The result should not be a generic email containing the detected keyword. It should be a better-informed reason to start a conversation.

It Connects Marketing and Sales Around the Same Signal

Marketing may see content engagement while sales sees prospect activity. Intent data can provide another shared layer of account context.

When both teams agree on what constitutes a meaningful signal and what action should follow, intent becomes part of the revenue process rather than another marketing metric.

It Can Reduce Wasted Effort

Sales and marketing resources are limited. If a team can identify accounts showing relevant research behavior, it can concentrate effort where there is stronger evidence of current interest.

That does not mean ignoring the rest of the market. It means using available signals to make prioritization more deliberate.

Intent Data and Account-Based Marketing

Intent data and ABM work well together because they answer different questions.

ABM defines the accounts worth pursuing. Intent helps identify which of those accounts may be active right now.

Consider a target-account list containing 500 companies. All 500 may fit your ICP, but they are unlikely to be at the same point in the buying journey at the same time.

Intent signals can help identify accounts researching relevant topics, comparing vendors, or showing increased activity. Marketing can then adjust campaigns and content, while sales can prioritize outreach where the combined evidence supports action.

The strongest approach is not to let intent replace account selection. Instead, layer intent onto fit, engagement, timing, and buying-group context.

Intent Data Providers to Evaluate

The intent-data market continues to evolve, so provider capabilities should be checked before each technology purchase rather than relying on an old vendor list.

As of 2026, providers and platforms with active intent-data capabilities include:

Demandbase: B2B buyer intent within its account-intelligence and GTM ecosystem, with signals covering category and competitor research.
6sense: Intent and predictive intelligence combining first-party, third-party, CRM, and other account signals.
Leadfeeder: Website visitor intelligence with intent scoring based on factors such as visit quality, recency, frequency, and visitor activity.
UpLead: Intent data for identifying prospects showing relevant buying behavior and prioritizing outreach.
Bombora: B2B intent data based on research activity across its Data Co-op and related signals.
RollWorks / AdRoll ABM: Intent capabilities that include proprietary keyword intent alongside sources such as Bombora and G2.
ZoomInfo: Buyer and account intelligence capabilities that include intent-related signals and can be evaluated as part of a broader B2B data stack.

The right provider depends on your market, target-account coverage, data requirements, CRM environment, geography, privacy requirements, and the actions your sales and marketing teams need to take from the signal.

A larger dataset is not automatically a better fit.

How to Evaluate an Intent Data Provider

Before signing a contract, test the data against your actual market.

Start with coverage. Do the provider’s signals meaningfully cover your target industries, company sizes, regions, and accounts?

Next, examine signal quality. Can you understand what the account is researching, how recent the activity is, and whether the signal is strong enough to justify action?

Then check identity resolution. Can the platform reliably connect activity to the right company or account? This matters because an inaccurate account match can turn a useful signal into misleading outreach.

Finally, test activation. Can the data flow into the CRM, advertising platform, marketing automation system, or sales workflow your team already uses?

A useful test is simple: give a sales representative a small set of intent-qualified accounts and ask what they would actually do with the information.

If the answer is unclear, the problem may not be the data. The workflow may need to be fixed first.

The Most Common Intent Data Mistake

The biggest mistake is treating every intent signal as a buying signal.

Someone reading an article about your category may be learning. Someone researching competitors may be evaluating. Someone repeatedly visiting pricing pages may be much closer to a commercial decision.

Those behaviors should not be treated as equivalent.

Intent works better when signals are interpreted in context. Recency, frequency, topic relevance, account fit, engagement depth, and the number of people involved can all change the meaning of an activity pattern. Modern intent platforms increasingly combine multiple signals rather than relying on one isolated behavior.

The goal is not to find a magical score that says “buy now.”

The goal is to build enough evidence to make a better decision about where to focus, what to say, and when to engage.

The Bottom Line

Intent-based marketing gives B2B teams a more useful view of demand because it adds behavioral context to traditional account and lead data.

Your ICP tells you which companies fit.

First-party engagement tells you how those companies interact with your brand.

Second-party and third-party intent can reveal research happening beyond your own properties.

When these signals are combined with sales and marketing context, teams can prioritize accounts more intelligently and create more relevant engagement.

The value of intent data is not the number of signals a platform can collect. It is what your team can understand, act on, and connect to pipeline.

FAQs:

What is intent data?

Intent data is behavioral information that indicates an account or buyer may be researching a particular problem, product, service, or solution. Common signals include content consumption, website activity, searches, review-site research, and other digital behaviors.

What is the difference between first-party, second-party, and third-party intent data?

First-party intent comes from your own digital properties and systems. Second-party intent comes from another organization’s first-party data shared through a partnership or data arrangement. Third-party intent is aggregated from external sources across a broader network of websites and platforms.

How does intent data improve account-based marketing?

Intent data can help ABM teams identify which target accounts are showing relevant research activity. This allows marketing and sales to prioritize accounts based on both fit and current behavior instead of treating every target account with equal urgency.

Is intent data proof that a prospect is ready to buy?

No. Intent is a signal, not proof of purchase. It becomes more useful when combined with account fit, engagement, CRM information, buying-group context, and other relevant signals.

What are buyer intent signals?

Buyer intent signals are observable behaviors that may indicate active research or increased interest in a product, service, problem, or category. Examples include repeated content consumption, relevant searches, pricing-page visits, competitor research, review-site activity, and increased engagement from multiple people at an account.

Which intent data provider should a B2B company use?

There is no universal choice. Evaluate providers based on account coverage, signal quality, identity resolution, geographic reach, privacy practices, integrations, and how easily your sales and marketing teams can turn the data into action.

Tags Intent Data, Intent-Based Marketing, Lead Generation

B2B Demand Generation

Fixing the Middle of the Funnel: A Practical Guide to B2B Lead Nurturing

Post author By Akshay Purohit
Post date September 28, 2026
No Comments on Fixing the Middle of the Funnel: A Practical Guide to B2B Lead Nurturing

Nurture leads by behavior, not the calendar. Diagnose why a deal stalled, send content that fixes that reason, and give sales context.

Most B2B nurture sequences are built around a calendar.

Someone downloads a report on Monday. They receive an email on Tuesday, another three days later, and another the following week. The automation keeps running whether the buyer is researching, distracted, evaluating competitors, or no longer interested.

That is not nurturing. It is scheduled communication.

B2B lead nurturing works better when it responds to what is actually happening inside the account. A prospect who suddenly goes quiet may not need another generic email. They may have lost budget, changed priorities, added a new decision-maker, or failed to get executive agreement.

The job of nurturing is to recognize those moments and give the buyer a useful reason to re-engage.

The Middle of the Funnel Is Where Deals Lose Momentum

Most marketing teams are good at generating initial interest. The harder problem starts after that first interaction.

A prospect downloads content, attends a webinar, requests information, or speaks with sales. Then momentum slows.

Sales follows up. Marketing puts the prospect into an automated sequence. A few emails go out. Eventually, engagement drops and the account is marked cold.

The problem is often not lack of interest. It is a change in the buying situation.

A B2B purchase can stall because priorities move to another project. Budget gets frozen. An executive sponsor leaves. Procurement introduces new requirements. A buying committee cannot agree on the business case. The prospect may still have the original problem, but the conditions for solving it have changed.

This is why middle of funnel nurturing needs to be more intelligent than simply adding more touchpoints.

The objective is to understand what changed and give the buyer the information needed to move again.

Why Time-Based Nurture Sequences Stop Working

Traditional nurture programs often follow a simple formula:

Day 1: Send an introduction.

Day 4: Send another article.

Day 8: Share a case study.

Day 14: Ask for a meeting.

There is nothing inherently wrong with automation. The problem is using time as the primary trigger.

A buyer does not become more qualified because seven days have passed.

If the prospect has not opened the previous three emails, sending a fourth does not solve the problem. If they have returned to the pricing page twice, sending another introductory blog post may be equally disconnected from their behavior.

Good nurturing should react to signals, not simply elapsed time.

A calendar can determine when a message is technically sent. It should not determine what the buyer needs next.

The Anti-Spam Framework for B2B Lead Nurturing

A practical lead nurturing strategy should answer four questions every time a prospect interacts with your brand:

What changed?

What does that behavior tell us?

What does the buyer need next?

What should sales do with that information?

This creates a simple operating model:

Signal → Context → Content → Action → Measurement

The signal identifies a meaningful behavior. Context explains why it matters. Content addresses the likely need. Action determines whether marketing continues nurturing or sales should engage. Measurement shows whether the account actually progresses.

That is very different from a sequence that simply says, “Send email three.”

Trigger Nurturing From Behavior, Not the Calendar

Behavior-triggered nurturing does not mean reacting to every click.

A single email open is rarely enough to change a buyer’s journey. More meaningful signals can include repeated visits to a product page, engagement with several pieces of content around the same problem, attendance at a webinar, interaction with pricing or comparison content, or a significant change in account activity.

Consider two prospects.

One downloaded an introductory guide six weeks ago and has not returned.

Another downloaded the same guide, attended a related webinar, visited the pricing page twice, and brought two additional contacts from the same company into the website.

They should not receive the same nurture path.

The first account may need a reactivation approach or may simply be inactive. The second may need deeper evaluation content and coordinated sales follow-up.

Behavior creates context. Context should determine the next interaction.

Diagnose Why the Deal Has Stalled

One of the biggest improvements a B2B nurture program can make is to stop treating every inactive lead as the same type of problem.

A stalled opportunity can have very different causes.

Internal Priorities Changed

The problem still exists, but another initiative has become more urgent.

In this situation, repeating product benefits may not help. Content that helps the buyer connect the solution to the newly important business priority can be more relevant.

Budget Became Unavailable

A buyer may agree with the solution but no longer have the budget to act.

Instead of continuing aggressive conversion messaging, nurturing can provide business-case content, cost justification, implementation planning, or information that helps the buyer prepare for a future budget cycle.

Executive Consensus Is Missing

A contact may be interested but unable to secure agreement from finance, leadership, IT, procurement, or another stakeholder.

This is where customer stories, ROI evidence, executive-level summaries, security information, implementation plans, and stakeholder-specific content can help the internal champion build the case.

The Buyer Is Comparing Alternatives

When a prospect is evaluating several vendors, generic educational content becomes less useful.

They may need comparison criteria, implementation considerations, proof of outcomes, differentiation, customer evidence, or answers to specific objections.

The Problem Lost Urgency

Sometimes the prospect simply decides that the problem can wait.

That does not always mean the account should be removed permanently. A well-designed nurture program can reduce communication frequency while continuing to provide useful information tied to the underlying business problem.

The important distinction is this:

Do not nurture the status. Nurture the reason behind the status.

Build Content Tracks Around the Problem

Once the reason for stalled engagement is understood, content can become much more specific.

Instead of one long nurture sequence, create several tracks based on the situations your sales team sees repeatedly.

For example:

Buyer situation	Useful content direction	Sales value
Budget delayed	ROI model, business case, cost justification	Helps reopen a commercial conversation
Executive approval missing	Executive brief, customer evidence, outcome summary	Helps champion build internal consensus
Priorities changed	Problem-specific insights, strategic guide	Reconnects the solution to the new priority
Vendor comparison	Comparison framework, evaluation checklist	Supports active evaluation
Implementation concern	Implementation guide, timeline, FAQ	Reduces perceived execution risk
Low engagement	Educational content, research, lighter-touch updates	Keeps the relationship relevant without pressure

This is where an experienced lead nurturing strategy creates value.

The objective is not to produce more content. It is to make existing content work harder by matching it to the situations buyers actually encounter.

Give Sales Context, Not More Leads

Sales teams rarely need another notification saying that a prospect “engaged.”

They need to know why the engagement matters.

A useful marketing-to-sales handoff might say:

Target account returned to pricing content twice this week after previously going inactive. Three contacts have engaged with implementation material. Previous opportunity stalled because the team was concerned about deployment effort.

That is actionable context.

Compare it with:

Lead score increased to 82.

The second message may look more sophisticated, but it does not tell the salesperson what to do.

Marketing automation should help sales understand the account, not create another stream of unexplained alerts.

This is one of the most important tests for a nurture program: Would a salesperson actually want to receive this signal?

If not, the workflow probably needs refinement.

Use Marketing Automation to Adapt the Journey

Marketing automation nurturing becomes powerful when workflows can change based on meaningful behavior.

For example, a prospect could begin in an educational track. If they repeatedly engage with product-specific content, the workflow can move them toward evaluation material. If they request a demo, marketing can stop the generic nurture sequence and trigger the appropriate sales process.

The reverse is also important.

If engagement drops sharply, the system should not simply continue sending the same messages. It can reduce frequency, change the content approach, or move the account into a reactivation track.

Automation should therefore manage decision paths, not just delivery schedules.

The more sophisticated the buying process, the more important this distinction becomes.

Protect Pipeline Velocity by Reducing Dead Time

Pipeline velocity is influenced by more than the number of opportunities entering the funnel.

Opportunities also lose momentum when there are long periods without meaningful engagement, unclear next steps, or delays in getting the right stakeholders involved.

A useful nurture program can reduce some of that dead time.

If a buyer is stuck because the executive team needs a stronger business case, deliver the evidence that supports that conversation. If implementation is the concern, provide material that reduces uncertainty. If a new stakeholder enters the buying group, give that person the context they need without forcing the original buyer to start from the beginning.

Nurturing cannot manufacture urgency where none exists.

It can, however, remove unnecessary friction when a real buying process is already underway.

That is a much more useful role for marketing automation than simply keeping a lead inside an email sequence.

Know When to Stop Nurturing

Not every account should remain in an active nurture program.

A good system should have clear exit conditions.

Move a prospect to sales when meaningful buying signals and account fit justify direct engagement. Pause or reduce communication when the buyer clearly needs more time. Remove contacts when the data indicates they are no longer relevant.

The same principle applies to customers.

Once a prospect becomes a customer, the communication objective changes. Customer lifecycle nurturing can then support onboarding, adoption, renewal, expansion, advocacy, and other post-sale goals.

Treating every contact as a perpetual lead creates messy data and irrelevant messaging.

Lifecycle discipline keeps the experience cleaner.

Measure Whether Nurturing Actually Moves Accounts

A nurture program can generate impressive email metrics while doing very little for the business.

Open rates and clicks are useful diagnostic indicators, but they should not be the final measure.

Look at whether nurtured accounts:

Re-engage after becoming inactive
Progress between lifecycle stages
Generate qualified sales conversations
Re-enter active opportunities
Add stakeholders to the buying process
Create or accelerate pipeline
Convert to revenue
Progress toward renewal or expansion after the sale

This creates a stronger connection between marketing activity and commercial outcomes.

For a stalled-account program, one particularly useful question is:

Did the account move forward after the nurture intervention?

If the answer is consistently no, changing the email subject line is probably not the real solution.

The Bottom Line

B2B lead nurturing should not be a polite way of saying, “We will keep emailing you until you respond.”

Buyers do not move according to a marketing calendar. Priorities change. Budgets move. New stakeholders enter the conversation. Internal consensus breaks down. Projects get delayed and then become urgent again.

A useful nurture program responds to those realities.

Build behavioral triggers instead of relying on fixed schedules. Create content tracks around real buying obstacles. Give sales context they can act on. Measure progression, pipeline, and revenue rather than communication volume.

Most importantly, make every automated interaction earn its place.

Good nurturing does not protect a database from going quiet. It protects valuable opportunities from being forgotten when the buying process gets complicated.

FAQs:

What is B2B lead nurturing?

B2B lead nurturing is the process of maintaining relevant, timely engagement with prospects as they move through the buying journey. Effective nurturing responds to buyer behavior, needs, and lifecycle stage rather than sending identical messages on a fixed schedule.

Why do traditional email nurture sequences fail?

Fixed-time sequences can continue sending messages even when a buyer’s situation has changed. A prospect may have lost budget, changed priorities, added new stakeholders, or paused the project. When the sequence does not respond to those changes, the communication quickly becomes irrelevant.

What is behavior-triggered lead nurturing?

Behavior-triggered nurturing changes the next interaction based on meaningful buyer activity. Examples include repeated visits to product or pricing pages, engagement with related content, webinar attendance, or changes in account activity. The behavior should influence what content the prospect receives and whether sales should become involved.

How does lead nurturing improve pipeline velocity?

Nurturing can help reduce unnecessary periods of inactivity by giving buyers relevant information when they encounter a barrier. Business-case content can support budget discussions, implementation material can reduce uncertainty, and stakeholder-specific content can help build internal consensus.

What role does marketing automation play in B2B lead nurturing?

Marketing automation executes the rules behind the nurture journey. It can trigger content, adjust segments, manage workflow paths, and alert sales when meaningful signals appear. The strategy should determine the workflow rather than allowing automation to dictate the customer experience.

Should lead nurturing continue after a prospect becomes a customer?

Yes, but the objective changes. Customer lifecycle nurturing can support onboarding, adoption, retention, renewal, expansion, and advocacy. A strong lifecycle strategy treats the customer relationship as an ongoing journey rather than ending communication at conversion.

Tags Demand Generation, Lead Nurturing, Marketing Automation

B2B Demand Generation

Stop Wasting Ad Spend: A Practical Guide to B2B Programmatic Advertising

Post author By Akshay Purohit
Post date September 28, 2026
No Comments on Stop Wasting Ad Spend: A Practical Guide to B2B Programmatic Advertising

Cheap impressions aren't efficient impressions. Top advertisers turn 54% of programmatic spend into qualified impressions, versus 32.1% for the rest.

B2B programmatic advertising can put your message in front of thousands of people in a matter of hours. That scale is also where the waste starts.

A campaign can generate impressive impression numbers while reaching very few people who matter to the business. Broad audience segments, low-quality inventory, weak account data, and optimization toward cheap CPMs can turn a sizeable media budget into a reporting exercise rather than a demand generation program.

For B2B marketers, the question should be more specific: Are we reaching the accounts we actually want to influence?

That changes how programmatic campaigns should be planned, targeted, measured, and optimized.

The goal is not to buy the cheapest possible impression. It is to make each impression more relevant to the accounts that fit your Ideal Customer Profile (ICP), while giving sales additional visibility and context around those accounts.

Programmatic Advertising Starts With the Account List

Many programmatic campaigns begin with an audience definition inside the advertising platform. B2B campaigns should often begin somewhere else: with the target account list.

Start by defining which companies are worth reaching. Consider industry, company size, geography, technology environment, revenue range, business model, and other firmographic criteria that distinguish your ICP. Then narrow that universe further based on sales priorities.

A useful target account list should answer three questions:

Which companies are we trying to influence?
Which buying groups inside those companies matter?
Which accounts deserve paid media support right now?

Once that list exists, programmatic advertising becomes more controlled. Instead of asking an ad platform to find “business decision-makers,” you can build a media strategy around the organizations that sales and marketing have already agreed are valuable.

That distinction matters because B2B buying happens at the account level. Several people may research the same solution before a deal progresses, while none of them individually represents the complete buying opportunity.

Cheap Impressions Are Not the Same as Efficient Impressions

Programmatic buying makes it easy to optimize toward metrics such as CPM, clicks, reach, or impressions. Those metrics are useful, but they can hide a basic problem: you may be getting more media for your money without getting more access to the right accounts.

Programmatic supply chains also contain measurable inefficiencies. The Association of National Advertisers’ Q1 2026 benchmark found that higher-performing advertisers converted 54% of programmatic spend into qualified impressions, compared with 32.1% among the lower-performing group. The benchmark defines qualified impressions around factors including fraud, measurability, viewability, and made-for-advertising inventory.

That creates an important operating principle:

Do not optimize the campaign simply because the platform says it is getting cheaper. Optimize it because the media is becoming more useful.

A $3 CPM is not efficient if the impression reaches an irrelevant audience. A higher CPM can be justified when the inventory, audience, account coverage, and measurement are substantially better.

The B2B Programmatic Advertising Waste Elimination Playbook

A practical B2B programmatic strategy should control waste at several points in the campaign, not only after the first report arrives.

1. Lock Down the ICP

Begin with the accounts, not the creative.

Build a clean target account list and establish clear inclusion criteria. If the campaign is designed to support an ABM motion, the advertising audience should reflect the same account priorities used by sales.

Avoid adding broad audiences simply to increase scale unless there is a deliberate awareness objective behind the expansion.

The tighter the definition at the beginning, the easier it becomes to understand whether paid media is actually penetrating the intended market.

2. Clean the Account Data

Targeting quality depends on data quality.

Company names, domains, locations, subsidiaries, and other identifiers need to be normalized before they become a media audience. Duplicate accounts or outdated domains can create wasted delivery and make account-level reporting unreliable.

This is often overlooked because it happens before the campaign reaches the media platform. Yet a poorly maintained account list can undermine everything that follows.

For an agency managing B2B programmatic advertising, audience preparation should therefore be treated as part of campaign execution, not administrative work.

3. Use IP-Based Targeting Carefully

IP-based targeting can help connect digital advertising with specific business locations, but it should not be treated as a perfect identity layer.

Corporate networks, remote work, shared facilities, dynamic IPs, privacy controls, and changing network infrastructure can affect accuracy. For that reason, IP signals work best as one part of a broader account-targeting strategy rather than the only targeting mechanism.

The practical objective is account penetration, not pretending that every impression can be tied perfectly to one employee.

4. Control the Supply

Audience precision is only half of the equation.

Your ads can be aimed at the right account and still appear in poor-quality environments. Supply-path controls, publisher selection, viewability requirements, fraud protection, brand-safety controls, and curated inventory all influence how much of the media budget creates useful exposure.

ANA’s latest transparency research continues to show a strong relationship between media quality and programmatic efficiency. Its Q1 2026 benchmark found a substantial performance gap between advertisers with stronger quality controls and those with weaker execution.

This is why a B2B campaign should not simply ask, “How many impressions did we buy?”

It should also ask, “Where did those impressions occur, and were they worth buying?”

Use Display and Native Advertising for Different Jobs

Display advertising remains useful when the objective is consistent account visibility. It can reinforce brand recognition, support a campaign theme, and keep a company visible while buyers research solutions over time.

Native advertising B2B can serve a different role. Its format can make educational content, research, reports, and thought leadership feel more connected to the surrounding publisher experience.

Neither format should exist simply to increase impression volume.

For example, an account showing early engagement with a solution category may receive educational content first. Later, stronger engagement can justify a more product-focused asset or a sales-oriented call to action.

That creates a media sequence rather than a collection of unrelated advertisements.

Make Programmatic Support Sales, Not Compete With It

Programmatic becomes more valuable when marketing and sales use the same account strategy.

Suppose sales is actively working a group of strategic accounts. Marketing can use programmatic advertising to reinforce visibility around those companies while sales conducts direct outreach.

Sales then has another layer of context:

Which target accounts are receiving campaign exposure?
Which accounts are showing engagement?
Which accounts have increased activity?
Which accounts remain untouched?
Which accounts should be excluded because they have already converted or entered another campaign?

That information can influence outreach timing and messaging without pretending that an ad impression alone proves buying intent.

This is where account-based advertising becomes more useful than broad B2B audience buying. Paid media becomes one part of an account strategy rather than an isolated media channel.

Measure Account Penetration, Not Just Media Volume

A B2B programmatic campaign should still track standard media metrics. CPM, reach, frequency, viewability, clicks, and conversions help diagnose delivery.

However, account-based campaigns need another layer of measurement.

Look at:

Target account coverage: How many priority accounts received meaningful exposure?

Account penetration: Are multiple relevant people or buying groups within those accounts being reached?

Engagement: Which target accounts are interacting with the campaign?

Sales alignment: Are exposed accounts also receiving relevant sales activity?

Pipeline movement: Do engaged accounts progress into meaningful sales stages?

This changes the conversation with leadership. Instead of reporting that the campaign generated millions of impressions, the team can explain how effectively paid media supported the accounts that matter to revenue.

Build Around the Sales Motion

Programmatic should not operate on a separate calendar from the rest of demand generation.

If sales is opening conversations with a target account, advertising can reinforce the same positioning. If an account enters an active opportunity, messaging can change. If an opportunity closes, that account can move into a customer marketing track rather than continuing to receive acquisition messaging.

Likewise, accounts that show no meaningful engagement should not consume budget indefinitely.

This requires coordination between the target account list, campaign audience, CRM, media platform, creative, and reporting layer. The more closely those systems connect, the easier it becomes to control frequency, exclusions, audience movement, and campaign priorities.

Where Programmatic Waste Usually Hides

Waste is rarely caused by one dramatic mistake. It tends to accumulate through small decisions that look reasonable in isolation.

A campaign may have a large audience because the team wants scale. Another segment gets added because delivery is slow. A low-cost publisher is retained because its CPM looks attractive. Frequency rises because the campaign is trying to improve recall. Broad retargeting remains active after an account has moved into a sales conversation.

Individually, each decision can appear harmless.

Together, they can move the campaign away from its original purpose.

A stronger operating model regularly asks:

Is this impression helping us penetrate a priority account, or are we buying it because the platform can deliver it cheaply?

That question should influence targeting, supply, creative, budget allocation, and optimization.

When to Expand the Audience

Precision does not mean keeping the audience artificially small forever.

If a campaign reaches the intended accounts but cannot generate enough meaningful exposure, expand deliberately. Test adjacent accounts, related industries, additional buying roles, or broader geographic coverage based on the campaign objective.

However, expansion should be measurable.

Keep the original ICP audience as a benchmark. Then compare the broader segment against it for account quality, engagement, cost, and downstream outcomes.

That gives the team a controlled way to increase scale without losing sight of who the campaign was designed to reach.

The Practical B2B Programmatic Advertising Checklist

Before launching a campaign, confirm that you can answer these questions:

Is the target account list clean and current?
Are the ICP criteria clear?
Are account identifiers mapped correctly?
Are IP and other audience signals being used with realistic expectations?
Are low-quality inventory and unsuitable environments excluded?
Does the creative match the buying stage?
Are display and native placements serving a defined purpose?
Are sales and marketing using the same account priorities?
Can you measure account coverage and engagement?
Do you have clear rules for exclusions, frequency, and audience expansion?

If several answers are unclear, increasing the media budget is unlikely to solve the underlying problem.

Programmatic Should Make the Account Strategy Stronger

B2B programmatic advertising works best when it is treated as an account access system rather than an impression delivery system.

Start with the ICP. Build and clean the target account list. Apply precise audience controls. Use IP-based signals carefully. Curate the supply. Match creative to the buying context. Then connect media exposure with sales activity and account-level measurement.

The technology can automate the buying process, but it cannot decide which accounts deserve your budget.

That decision comes from strategy.

For B2B marketers, the real opportunity is not simply reaching more people. It is reducing the distance between media spend and the accounts your sales team actually wants to win.

FAQs:

What is B2B programmatic advertising?

B2B programmatic advertising uses automated technology to purchase digital advertising inventory and deliver ads to defined business audiences. A strong B2B approach focuses on target accounts, ICP criteria, quality inventory, and account-level measurement rather than broad reach alone.

How does real-time bidding work in programmatic advertising?

Real-time bidding allows an ad impression to be evaluated and purchased through an automated auction as the impression becomes available. The buying system uses available audience, inventory, and campaign criteria to determine whether that impression is worth bidding on.

What is account-based advertising?

Account-based advertising focuses paid media on specific companies rather than relying only on broad audience categories. It is commonly used alongside ABM programs to increase visibility within selected target accounts.

How does IP targeting help B2B advertising?

IP targeting can help associate advertising activity with business locations or networks. However, it has limitations and should be combined with other account and audience signals rather than treated as a perfect identifier for individual buyers.

What should B2B marketers measure in programmatic campaigns?

Along with CPM, reach, frequency, viewability, clicks, and conversions, B2B marketers should evaluate target account coverage, account engagement, buying-group penetration, sales activity, and pipeline progression.

Is programmatic advertising useful for ABM?

Yes. Programmatic advertising can support ABM by keeping selected accounts exposed to relevant messaging while sales and other marketing channels engage those accounts. Its value increases when media targeting, CRM data, sales activity, and measurement are connected.

How can companies reduce wasted programmatic ad spend?

Start with a clean target account list, apply tight audience controls, manage supply quality, monitor invalid and non-viewable impressions, control frequency, exclude irrelevant or converted accounts, and measure performance at the account level instead of relying only on impression volume.

Tags Demand Generation, Paid Media, Programmatic Advertising

B2B Demand Generation

B2B Webinar Strategy: How to Build High-Value Events for B2B Buyers

Post author By Akshay Purohit
Post date September 28, 2026
No Comments on B2B Webinar Strategy: How to Build High-Value Events for B2B Buyers

Registration is only the first conversion. Measure attendance, engagement and pipeline to build B2B webinars buyers actually stay for.

Webinar registrations can make an event look successful before it has even started. Yet a large registration number does not tell you how many people will attend, stay engaged, or take a relevant next step.

For B2B teams, that distinction matters. Buyers give their time to webinars when the subject is relevant, the speakers have useful experience, and the discussion helps them address a real business problem.

A strong B2B webinar strategy therefore starts well before the event page is published. It covers audience selection, topic development, speaker choice, format, promotion, live engagement, and what happens after the event.

The objective is not simply to produce another webinar. It is to create a useful business discussion that strengthens thought leadership, supports demand generation, and gives sales teams meaningful opportunities to continue the conversation.

Start With the Buyer’s Business Problem

Many webinar programs begin with a product, feature, or broad industry topic. That makes planning easier, but it does not necessarily give buyers a strong reason to participate.

Start with a problem your target audience is already trying to solve.

For example, instead of a broad session on “AI in Marketing,” a more focused topic could examine how marketing teams are measuring AI-generated pipeline, where current measurement breaks down, and what operating changes are required.

This approach gives the webinar a clear purpose. It also makes promotion more specific because the audience can immediately understand what they will learn.

A useful topic should answer three questions:

What business problem does the session address?
Who is most likely to care about that problem?
What practical insight will they take away?

These questions also help prevent the webinar from becoming a general discussion with little relevance to the intended audience.

Build the Webinar Around the Audience

Audience targeting should influence the webinar before the first slide is created.

A session for marketing leaders should not be structured in the same way as one for sales operations, IT, finance, or procurement. Each group evaluates business problems differently and has different responsibilities within the buying process.

Define the audience using practical criteria such as:

Job function and seniority
Industry and company size
Business priorities
Common operational challenges
Buying stage
Existing relationship with your company
Target accounts and strategic accounts

This audience definition should guide the topic, speakers, examples, promotion, and follow-up.

It also improves the quality of attendance. A smaller audience made up of relevant buyers can be more valuable than a larger registration list with limited connection to the subject.

Choose Speakers for Expertise, Not Just Seniority

Executive titles can help attract registrations, but seniority alone does not create a valuable webinar.

Strong speakers should be able to explain a business issue clearly, provide relevant experience, and contribute a point of view that goes beyond information already available on a company website.

Consider a mix of perspectives where appropriate:

Internal subject matter expert
Customer or practitioner
Industry analyst
Technology or operations leader
Independent expert

The right combination depends on the subject.

A customer can provide operational context. An analyst can provide market perspective. An internal expert can explain the practical implications. Bringing different perspectives together can create a more useful discussion than a single speaker delivering a long presentation.

Move Beyond Presentation-Heavy Webinars

Slides have a role, but they should support the discussion rather than become the entire event.

A strong webinar content strategy can use several formats:

Expert discussion: Two or more specialists discuss a specific business challenge.

Customer conversation: A customer explains how they approached a problem, including decisions, obstacles, and lessons learned.

Roundtable: Several practitioners compare approaches to the same issue.

Live demonstration: A speaker applies a process or technology to a realistic business scenario.

Research discussion: Experts examine research findings and explain what the results mean for practitioners.

Executive Q&A: A focused discussion built around questions from the target audience.

These formats can also be combined. For example, a short research presentation can lead into a practitioner discussion and finish with audience questions.

The format should follow the subject. Do not force every webinar into the same presentation structure.

Give the Audience a Reason to Stay

Registration is only the first conversion.

Live attendance and sustained engagement provide a better indication of whether the subject and format are working.

A useful structure creates value throughout the session. Avoid placing all important information at the end or spending the first 20 minutes on company introductions.

A practical structure might look like this:

Establish the business problem.
Explain why the problem matters now.
Present evidence, research, or relevant experience.
Discuss practical approaches.
Address common objections or implementation issues.
Take audience questions.
Close with a clear next step.

Keep introductions focused. Move quickly into the subject the audience registered to understand.

Audience interaction also matters. Questions, polls, live examples, and moderated discussion can make the session more relevant while giving the marketing team additional insight into audience priorities.

Promote the Problem, Not Just the Event

Webinar promotion often focuses on the event itself:

“Join our upcoming webinar.”

That tells the audience when the event is happening, but it does not explain why the session deserves their time.

Promotion should communicate the business issue being addressed.

A stronger message identifies:

The problem
Who is affected
Why the issue matters
What the session will cover
What the audience can expect to learn

Promotion should also reflect the target audience. Email, LinkedIn, partner channels, sales outreach, publisher networks, and account-based campaigns can all play different roles.

For strategic accounts, sales teams can use the webinar as a reason to begin or continue a relevant conversation rather than sending a generic event invitation.

Connect Webinar Strategy With Demand Generation

A webinar should not operate as an isolated marketing activity.

Before promotion begins, define where the event fits within the broader demand generation program.

For example, a webinar can support:

Awareness among new target accounts
Engagement with existing prospects
Re-engagement of inactive accounts
Thought leadership within a specific category
Account-based marketing programs
Sales conversations around an active business issue

This also changes how performance should be evaluated.

A webinar with 300 registrations may generate less business value than a smaller event attended by decision-makers from strategically important accounts.

Look at the quality of engagement alongside volume.

Useful measures include:

Registration-to-attendance rate
Attendance by target account
Attendance duration
Audience questions and interactions
Content engagement after the event
Meetings influenced by the webinar
Opportunities influenced by the webinar
Pipeline associated with engaged accounts

Not every webinar should be expected to generate immediate pipeline. Some are designed to build awareness or establish expertise. The measurement model should reflect the role of the event.

Turn One Webinar Into a Content Program

The value of a webinar should continue after the live session.

A well-planned event can produce several useful assets without simply publishing the full recording everywhere.

For example:

Short expert clips
Executive quotes
Blog articles
Research summaries
Social posts
Sales enablement content
Follow-up emails
FAQ content
On-demand webinar pages
Account-specific follow-up resources

This works best when content repurposing is considered during planning.

If the webinar contains strong questions, useful examples, or clear expert opinions, those moments can become standalone content. The team can then extend the useful life of the original event across multiple channels.

Make Sales Part of the Strategy

Marketing should not wait until the webinar ends to involve sales.

Before the event, sales can help identify relevant accounts, common objections, active opportunities, and questions buyers are already asking.

During and after the event, engagement data can provide additional context.

For example, an account that registers, attends most of the session, asks a detailed question, and later views the recording has demonstrated a different level of engagement from an account that only registered.

That does not automatically mean the account is ready to buy. It does, however, give sales more context for deciding whether a follow-up conversation is relevant.

The handoff should therefore include useful engagement information, not just a list of attendees.

Use a Consistent Webinar Planning Process

A repeatable process helps maintain quality as the webinar program grows.

A practical B2B webinar strategy can follow this sequence:

1. Define the business problem
Identify a specific issue that matters to the target audience.

2. Define the audience
Select the roles, industries, accounts, and buying situations that matter.

3. Select the format
Choose the format that best supports the subject and audience.

4. Select the speakers
Prioritize relevant expertise and complementary perspectives.

5. Build the discussion
Create a clear structure around questions, evidence, examples, and practical takeaways.

6. Plan promotion
Use channels and messages that match the intended audience.

7. Prepare engagement
Plan questions, polls, examples, demonstrations, or other interaction points.

8. Align sales
Define how sales will use registration and engagement information.

9. Plan post-event content
Identify which insights can become additional assets.

10. Measure business impact
Review attendance, engagement, account activity, meetings, and pipeline influence based on the webinar’s role.

This process keeps the focus on the audience and business outcome rather than on producing another event for the marketing calendar.

Thought Leadership Requires a Point of View

A webinar can contain accurate information and still make little impression on the audience.

B2B thought leadership requires more than presenting facts. It requires a useful interpretation of what those facts mean for the people responsible for making decisions.

That could involve explaining why a common approach no longer works, what organizations are getting wrong, where implementation tends to fail, or what leaders should consider before investing in a particular approach.

The point of view should be supported by experience, research, customer evidence, or other credible sources. It should also leave room for discussion rather than presenting every issue as settled.

That balance is important. Buyers do not need another sales presentation disguised as a webinar. They need a discussion that helps them understand a business issue more clearly.

Measure What the Webinar Is Supposed to Achieve

No single webinar metric tells the complete story.

Registration measures interest in the topic. Attendance measures whether registered people made time for the event. Engagement provides more context about the quality of participation. Account and pipeline measures connect the activity to broader commercial objectives.

Review these measures together.

If registration is high but attendance is low, examine the topic, promotion, timing, audience, and expectations set during registration.

If attendance is strong but engagement is weak, review the format, speakers, pacing, and relevance of the discussion.

If engagement is strong but there is little sales activity afterward, examine the audience targeting, follow-up process, and connection between the webinar topic and active buying priorities.

This approach turns webinar reporting into a source of improvement rather than a simple attendance report.

The Practical Standard for B2B Webinars

A high-quality webinar should give the audience a clear reason to attend, a useful reason to stay, and enough relevant insight to continue the conversation afterward.

That requires more than good slides.

It requires a clear audience, a specific business problem, credible speakers, an appropriate format, focused promotion, meaningful interaction, and a defined connection to demand generation and sales.

For B2B teams, the strongest webinar programs are built as part of the broader content and demand generation strategy. Each event should have a clear role, a defined audience, and a measurable purpose.

When those elements are in place, a webinar becomes more than a scheduled marketing event. It becomes a practical channel for building expertise, engaging target accounts, and creating opportunities for meaningful buyer conversations.

FAQs:

What is a B2B webinar strategy?

A B2B webinar strategy is the planning framework used to define the audience, topic, speakers, format, promotion, engagement, follow-up, and measurement for business-focused webinars.

How can B2B webinars improve audience engagement?

Use focused topics, relevant speakers, practical examples, audience questions, polls, discussions, demonstrations, and other interactive elements. The format should match the subject and audience.

What makes a webinar effective for thought leadership?

Strong thought leadership webinars provide a clear point of view supported by relevant evidence, experience, research, or customer examples. They should help the audience understand a business issue rather than simply promote a product.

How should B2B webinars be promoted?

Use a combination of email, LinkedIn, sales outreach, partner channels, publisher networks, and account-based campaigns where appropriate. Promotion should focus on the business problem and value of the discussion.

How do you measure B2B webinar performance?

Review registration, attendance, attendance duration, engagement, target-account participation, post-event activity, meetings, opportunities, and pipeline influence. The right metrics depend on the role of the webinar within the demand generation program.

How can one webinar create more content?

Plan repurposing before the event. Strong webinar discussions can become blog articles, short videos, social posts, expert quotes, sales content, follow-up emails, research summaries, and on-demand resources.

Should sales be involved in webinar planning?

Yes. Sales can provide insight into active buyer concerns, target accounts, objections, and questions. This helps marketing build a more relevant webinar and gives sales better context for post-event follow-up.

Tags Demand Generation, Thought Leadership, Webinars

Intent-Based Marketing

The Dark Funnel Problem: Why Intent Data Misses Research Done in AI Tools

Post author By Akshay Purohit
Post date September 28, 2026
No Comments on The Dark Funnel Problem: Why Intent Data Misses Research Done in AI Tools

The dark funnel is where your shortlist forms. Intent data can't see AI tools, private communities or peer calls, so track the side effects and ask buyers directly.

In April, your intent platform marked the account as cold. No topic surge, no website visits, nothing worth an SDR’s time.

In July, the same company requested a demo. They had a shortlist of three vendors, a clear set of requirements, and a favorite. You weren’t it.

The research happened. Your tools just couldn’t see it. That’s the dark funnel, and it’s growing faster than most intent strategies are adapting.

What the Dark Funnel Is

The dark funnel is the part of the buying journey that happens outside anything you can track. Buyers ask AI tools for comparisons, trade notes in private communities, call a peer, or listen to a podcast. None of it lands in your CRM.

This isn’t new. What’s new is how much of the journey now happens there, and how early the decision forms.

How Big the Blind Spot Is

6sense’s 2025 Buyer Experience Report, based on nearly 4,000 B2B buyers, shows how much gets decided before a vendor is involved:

Buyers make first contact with sellers about 61% of the way through their journey.
The winning vendor is on the Day One shortlist 95% of the time.
About four in five deals go to the buyer’s pre-contact favorite.

The same research found that 94% of buyers used AI tools during their buying process. Meanwhile, Gartner’s research shows buyers spend only about 17% of their buying time with suppliers at all.

In other words, the shortlist forms in the dark. By the time a buyer steps into the light, you’re either on it or you’re not.

What Intent Data Sees, and What It Doesn’t

Intent data is still valuable. However, it’s important to know exactly where it’s blind.

Where research happens	Visible to intent data?	Why
Your own website	Yes	First-party tracking captures visits and behavior
Publisher and content networks	Mostly	Third-party providers track topic consumption across partner sites
Review sites	Partly	Some review platforms share buyer intent, but not all activity
Search engines	Partly	You see some search behavior, rarely who is behind it
AI chat tools	No	Conversations are private and leave no trackable footprint
Private communities and group chats	No	Closed spaces with no tracking
Peer calls, texts, and events	No	Offline and one-to-one
Podcasts and video	Very little	Listening rarely connects back to an account

The bottom half of that table is where more buyer research now takes place.

Why AI Research Makes the Problem Worse

AI tools don’t just add a new dark channel. They can also shrink the signal from channels you could see.

Before, a buyer comparing vendors might read ten articles across several publisher sites. Each visit could feed a third-party intent signal. Today, the same buyer may read one AI-generated summary instead.

That means an account can grow more interested while producing fewer trackable signals. So a quiet intent score doesn’t always mean a quiet account. It may simply mean the research moved somewhere you can’t see, as we explored in our piece on AI in B2B buying.

Signals That Still Leak Out of the Dark Funnel

Dark funnel research isn’t fully invisible. It leaves side effects, if you know where to look.

Branded search spikes. People start searching for your company name by name.
Direct traffic from new companies. Visitors arrive by typing your URL, often after a recommendation.
Several new people from one account. A cluster of first-time visitors usually means a group is evaluating.
Pricing and comparison page visits. These tend to come late in dark funnel research.
Review profile views. Buyers check peer opinions after an AI tool or colleague names you.
Job postings mentioning your category. A company hiring for the problem you solve may be close to buying.

No single signal proves much. Together, they’re often the first sign that an account is further along than your intent score suggests.

Ask Buyers Where They Heard About You

The simplest dark funnel tool is also the most underused. Add one open-text question to your demo and contact forms: “How did you hear about us?”

Keep it optional and free-form, not a dropdown. The answers are often revealing:

What buyers write	What it tells you
“ChatGPT recommended you”	AI tools are shortlisting you, so protect that visibility
“A friend at another company”	Customer advocacy is driving pipeline
“Saw your founder on a podcast”	Audio content is reaching buyers
“Someone in a Slack group mentioned you”	Community presence matters in your market
“Read a review on G2”	Review sites are part of the shortlist process

This self-reported data won’t match your analytics. That’s the point. It shows you the channels your analytics can’t.

Influence What You Can’t Track

If you can’t see the dark funnel, you can still shape what happens inside it. Focus on the sources buyers and AI tools already trust.

Build a strong third-party footprint. AI tools and buyers both lean on independent sources. Content syndication, analyst coverage, and editorial mentions all help.
Turn customers into visible advocates. Peer recommendations drive much of dark funnel research. A structured customer advocacy program puts those voices where buyers look.
Show up in expert conversations. Podcasts, industry communities, and webinars reach buyers in places tracking never will.
Make first contact worth it. Buyers who arrive with a shortlist want answers fast. So route them to a knowledgeable person, not a generic form sequence.

Rethink How You Read Intent Scores

Intent data works best as one input, not the whole picture. So combine it with the signals above.

An account engagement score that blends third-party intent, first-party behavior, and dark funnel proxies gives a far more accurate view. Also, review closed-won deals regularly. Check how many showed strong intent before first contact. If the answer is “few,” your scoring is leaning too heavily on what’s easy to measure.

Mistakes to Avoid

Treating a cold intent score as a cold account
Trying to track everything, instead of influencing what you can’t track
Ignoring self-reported attribution because it doesn’t fit a dashboard
Measuring content only by clicks, when much of its value happens off-site

You Can’t Light Every Corner

The dark funnel isn’t a tracking problem you can solve with better software. Some buyer research will always stay private.

The teams that win accept that. They track what they can, ask buyers about the rest, and invest in being the name that comes up when nobody from their company is in the room.

Want to reach buyers before they reach out?

ColedaB2B helps B2B teams combine intent data, content syndication, and dark funnel signals to get on the shortlist earlier. Talk to us about your intent strategy.

FAQs:

What is the dark funnel in B2B marketing?

The dark funnel is the part of the buying journey that happens outside trackable channels, such as AI chat tools, private communities, peer conversations, and podcasts.

Why can’t intent data see dark funnel activity?

Intent data relies on trackable behavior, such as website visits and content consumption on partner sites. Private AI conversations, closed communities, and offline peer calls leave no trackable footprint.

How much of the B2B buying journey happens before contacting sales?

6sense’s 2025 research found that buyers make first contact about 61% of the way through their journey, and the winning vendor is on the Day One shortlist 95% of the time.

How can you measure the dark funnel?

You can’t measure it directly, but you can track its side effects: branded search, direct traffic from new companies, review profile views, and self-reported attribution from an open-text “How did you hear about us?” field.

How do you influence buyers in the dark funnel?

Build third-party coverage, turn customers into visible advocates, take part in expert conversations and communities, and make first contact fast and useful when buyers do reach out.

Tags AI Search, Attribution, Dark Funnel, Intent Data, Intent-Based Marketing

Intent-Based Marketing

First-Party vs Third-Party Intent Data: What Each One Can and Can’t Tell You

Post author By Akshay Purohit
Post date September 28, 2026
No Comments on First-Party vs Third-Party Intent Data: What Each One Can and Can’t Tell You

First-party intent data is precise but late. Third-party intent data is early but blurry. Combine both to decide when to act.

Two SDRs start the quarter with different lists. One gets 500 accounts “surging” on a topic from a third-party provider. The other gets 40 accounts that visited the pricing page last week.

The first list is bigger and earlier. The second is smaller and warmer. Which one produces more pipeline?

Usually, neither on its own. The real value of first-party vs third-party intent data comes from understanding what each can see, where each goes blind, and how to use them together.

The Three Types, in Plain Terms

First-party intent data comes from your own channels: website visits, content downloads, email clicks, webinar attendance, and product usage.
Second-party intent data is another company’s first-party data, shared through a partnership, such as a publisher or review site.
Third-party intent data is collected across many websites by a data provider, then matched to companies researching specific topics.

Most of the debate is about first-party and third-party, so that’s where this guide focuses. For a broader overview, see our guide to intent-based marketing.

First-Party vs Third-Party Intent Data, Side by Side

	First-party intent data	Third-party intent data
Where it comes from	Your website, emails, events, product	Networks of publisher and partner sites
What it tells you	What a buyer did with you	What a company is researching generally
Level of detail	Often person-level, if known	Usually account-level only
Timing	Later, once they’ve found you	Earlier, often before they’ve found you
Coverage	Only people already engaging with you	Many companies you’ve never met
Accuracy	High, you collected it yourself	Varies widely by provider and method
Consent and compliance	Under your control	Depends on the provider’s practices
Cost	Mostly your existing tools	Usually a paid subscription

The pattern is simple. First-party data is precise but late. Third-party data is early but blurry.

Where Third-Party Intent Data Goes Wrong

Third-party data can reveal demand you’d never see otherwise. However, it has well-known weak points that sellers learn about the hard way.

Company matching errors. Many providers link activity to companies using network data. With remote and hybrid work, a lot of research happens from home networks that are hard to match accurately.
Broad topic tags. A “surge” on a wide topic can reflect a student project, a competitor’s research, or a single curious employee.
No sense of who. You know the company is researching, but not whether it’s a decision-maker or an intern. That matters, since Forrester’s 2024 buying research puts the average buying group at 13 people.
Opaque methods. Some providers can’t clearly explain how signals are collected or scored.

Poor data isn’t a small problem. Gartner estimates that poor data quality costs organizations an average of $12.9 million a year. Intent data is only useful if you can trust where it came from.

Where First-Party Intent Data Falls Short

First-party data is more reliable, but it has its own blind spots.

It only sees people who already found you. If a buyer is comparing three vendors and you’re not one of them, you’ll see nothing.
It arrives late. By the time someone visits your pricing page, much of their research is done.
It misses private research. Buyers increasingly research in AI tools and communities, as covered in our piece on the dark funnel.
Volume can be low. Smaller brands may not get enough traffic to form clear patterns.

Use Them Together: A Simple Decision Matrix

The most useful approach combines both. Here’s a matrix sales and marketing can act on:

	Low first-party activity	High first-party activity
High third-party intent	Researching, but not you yet. Run targeted ads and content to get on the shortlist.	Hot account. Hand to sales now, and reach several roles quickly.
Low third-party intent	Not in market. Keep in light, low-cost nurture.	Engaged, but research may be private or narrow. Investigate with an SDR before assuming it’s cold.

The bottom-right box surprises many teams. Accounts that engage directly while showing little third-party activity are often further along than they look, because much of their research is happening where providers can’t see.

For ongoing scoring, fold both into a single account engagement score rather than tracking them in separate reports.

A Quick Example

Imagine a mid-size logistics company over six weeks. The figures are illustrative.

Week	Signal	Source	Action
1	Surge on “warehouse analytics”	Third-party	Add to targeted ad audience
3	Two visitors read comparison content	First-party	Send role-specific content via ads
4	Operations director downloads a guide	First-party	SDR reaches out with a relevant case study
6	Three new visitors view pricing	First-party	Account executive engages multiple roles

Third-party data put the account on the radar early. First-party data showed when it was ready. Neither would have produced the same result alone.

Consent and Compliance Matter More Than Ever

Intent data involves behavioral data, so privacy rules apply. With first-party data, you control consent through your own cookie banner and privacy policy.

With third-party data, you’re relying on the provider. If they can’t show how data was collected and whether consent was obtained, that risk becomes yours. Security and legal teams increasingly check this before approving a purchase, as we covered in our piece on CISO buying decisions.

Seven Questions to Ask an Intent Data Provider

Where exactly does your data come from, and how many sources do you use?
How do you match activity to a company, and how do you handle remote workers?
How specific are your topics, and can we define our own?
How do you tell real buying research apart from noise?
How often is the data refreshed?
Can you document consent and compliance with GDPR and CCPA?
Can we test your data against our past closed-won deals before we buy?

The last question is the most useful. A good provider should be willing to show whether their signals would have flagged the accounts you actually won.

Keep Your Own Data Clean

Intent signals only help if the account and contact records they connect to are accurate. Regular data enrichment and solid data management keep signals from landing on outdated records.

The Short Answer

First-party intent data tells you who’s engaging with you. Third-party intent data tells you who might be looking, before they find you. You need both, but you need to trust both, and that means asking hard questions about where the data comes from.

Not sure your intent data is telling you the truth?

ColedaB2B helps B2B teams combine first-party and third-party intent signals, vet data sources, and turn them into pipeline. Talk to us about your intent strategy.

FAQs:

What is the difference between first-party and third-party intent data?

First-party intent data comes from your own channels, such as your website and emails. Third-party intent data is collected across many external websites by a provider and shows which companies are researching certain topics.

Which is more accurate, first-party or third-party intent data?

First-party data is usually more accurate because you collect it directly. Third-party data varies by provider, but it reveals interest earlier and from companies that haven’t found you yet.

Is third-party intent data still useful?

Yes, when it comes from a trustworthy provider and is combined with first-party signals. It works best for spotting early interest, not for deciding when to hand an account to sales.

How do you evaluate an intent data provider?

Ask where their data comes from, how they match activity to companies, how specific their topics are, how often data refreshes, how they document consent, and whether you can test signals against past wins.

Is intent data compliant with GDPR?

It can be, but compliance depends on how the data was collected and whether consent was obtained. Always ask providers for documentation before buying.

Tags Data Quality, First-Party Data, Intent Data, Intent-Based Marketing, Third-Party Data

Intent-Based Marketing

What Counts as a Buying Signal Now: A Field Guide for B2B Teams

Post author By Akshay Purohit
Post date September 28, 2026
No Comments on What Counts as a Buying Signal Now: A Field Guide for B2B Teams

Not every click is a B2B buying signal. Score signals on who, what and when, act on strong ones within 48 hours and filter out the noise.

The alert said an account had visited the blog twelve times this week. The SDR called. It turned out to be one person researching a job application.

That same week, a CFO at a different account viewed the pricing page once, then read the security documentation. Nobody followed up, because it was only two visits.

Most teams don’t have a signal shortage. They have a sorting problem. This field guide to B2B buying signals shows which ones deserve action, which ones mislead, and how long each one stays useful.

What Makes a Signal Worth Acting On

A buying signal is evidence that an account is more likely to buy soon than it was before. Volume alone doesn’t make something a signal. Three questions do:

Question	Weak answer	Strong answer
Who did it?	Unknown visitor or a junior role	A decision-maker, or several roles from one account
What did they do?	Read a general blog post	Viewed pricing, security, or integration details
When did it happen?	Weeks ago	In the last few days

A signal that scores strong on all three deserves a response within a day or two. A signal that scores weak on all three is just noise.

The B2B Buying Signals Worth Watching

Strong Signals: Act Within 48 Hours

Signal	Why it matters	Where to find it
Several people from one account visit in a short window	A buying group is forming	Website visitor data
Pricing page views, especially by senior roles	Budget conversations have started	First-party analytics
Visits to security, compliance, or trust pages	Security review is coming, a late-stage step covered in our piece on CISO buying decisions	First-party analytics
Integration or technical documentation views	A technical evaluator is checking fit	Docs analytics
Detailed questions about AI features	Buyers are validating a shortlist	Sales conversations, chat
Comparison views on review sites	You’re being weighed against named competitors	Review site intent data

The AI question deserves special attention. 6sense’s 2025 research found that 89% of purchases included AI features. Also, 58% of buyers contacted sellers earlier specifically to clarify missing AI details. When a buyer asks detailed AI questions, they’re often already comparing finalists.

Review sites matter just as much. G2’s 2024 Buyer Behavior Report found that 31% of software buyers named review sites as their most consulted source.

Moderate Signals: Research and Nurture

Signal	Why it matters	Where to find it
Third-party topic surge on your category	The account is researching, maybe not you yet	Third-party intent data
Branded search growth	People are looking for you by name	Search console, ad platforms
A new executive in a relevant role	New leaders often review tools and vendors	LinkedIn, news
Job postings that mention your category	The company is investing in the problem you solve	Job boards
A former customer champion joins a new company	A warm path into a new account	LinkedIn, CRM alerts
Funding round or expansion news	New budget may be available	News, press releases

These signals rarely justify a sales call alone. They do justify research, targeted ads, and relevant content. For the trade-offs between these sources, see our comparison of first-party vs third-party intent data.

Context Signals: Useful Background Only

A single blog visit
A newsletter signup
An event registration without attendance
Social media follows

These add color to an account’s profile. On their own, they don’t predict a purchase.

Signals That Look Strong but Aren’t

Some activity looks like buying behavior but usually isn’t. Filter these out before they reach sales:

Job seekers researching your company before an interview
Students and researchers reading deeply on a topic
Competitors checking your pricing and messaging
Existing customers using help content for support
Partners and agencies doing work on your behalf
Bots and crawlers inflating visit counts

One person reading twenty blog posts is almost never a buying group. It’s usually one of the people above.

Combinations Beat Single Signals

Individual signals mislead. Patterns rarely do. Here are three combinations that almost always deserve attention:

Combination	What it usually means
Third-party surge, then several new visitors from the same account	Research has moved from general to specific, and you’re on the list
Pricing views plus security page visits	The account is preparing a business case and a risk review
New executive, then branded search from that company	A new leader is reviewing options, and someone mentioned you

This is why signals work best in a combined account engagement score. A single score weighs every signal together, so no one data point drives the decision.

How Long a Signal Stays Useful

Signals lose value quickly. As a rule of thumb:

Signal type	Useful for about
Pricing, security, or demo-related activity	1–2 weeks
Multi-person website visits	2–3 weeks
Third-party topic surges	3–4 weeks
Executive changes and funding news	60–90 days
Job postings	Until the role is filled

Build decay into your scoring. A pricing visit from six weeks ago shouldn’t count the same as one from yesterday.

Some Signals Never Reach Your Tools

Not every signal is trackable. Buyers increasingly research inside AI tools, private communities, and peer conversations, as covered in our piece on the dark funnel.

So listen for signals in conversations too. Sales calls, support tickets, and partner feedback often surface buying intent that no dashboard captures.

Signals Inside Your Customer Base

Buying signals aren’t only for new business. Existing customers show them too, when a new department researches your category or a team’s usage suddenly grows. Those are expansion opportunities, and they’re the focus of our guide to B2B cross-sell campaigns.

The Short Version

A buying signal is only as good as the person behind it, the action they took, and how recently it happened. Act fast on the strong ones, nurture the moderate ones, and filter out the noise before it wastes a seller’s week. For the bigger picture, start with our guide to intent-based marketing.

Drowning in signals but short on pipeline?

ColedaB2B helps B2B teams sort real buying signals from noise and route them to the right owner at the right time. Talk to us about your signal strategy.

FAQs:

What are B2B buying signals?

B2B buying signals are actions or events that show an account is more likely to buy soon, such as pricing page visits, several people from one company researching, or a new executive in a relevant role.

What are the strongest buying signals?

The strongest signals include multiple visitors from one account, pricing and security page views by senior roles, technical documentation reads, detailed questions about AI features, and comparison views on review sites.

How quickly should sales act on a buying signal?

Act on strong signals within 48 hours. Most late-stage signals, such as pricing or security page activity, lose much of their value within one to two weeks.

What activity looks like a buying signal but isn’t?

Job seekers, students, competitors, existing customers using support content, partners, and bots can all create activity that looks like interest but rarely leads to a purchase.

Should you act on a single buying signal?

Usually not. Combinations of signals, such as a topic surge followed by several new visitors from the same account, are far more reliable than any single signal.

Tags Account Scoring, Buying Signals, Intent Data, Intent-Based Marketing, Sales Prioritization

Intent-Based Marketing

Intent Data Meets ABX: Reach the Full Buying Committee Before a Competitor Does

Post author By Akshay Purohit
Post date September 28, 2026
No Comments on Intent Data Meets ABX: Reach the Full Buying Committee Before a Competitor Does

Intent data shows the account. The topic shows the role. Use intent data and ABX to reach the full buying committee before a competitor does.

The intent alert came in on Monday: a target account was surging on your category. By Tuesday, an SDR had emailed the one contact you had there, a marketing manager.

She didn’t reply. She wasn’t the one researching. The surge came from finance and IT, who were building a business case for a competitor.

This is the gap in how most teams use intent data for ABM. Intent tells you which account is in market. It doesn’t tell you who, and that’s the part that wins deals.

Why Account-Level Intent Isn’t Enough

Most third-party intent data works at the account level. It shows that a company is researching a topic, but not which people or roles are behind it.

That matters because B2B purchases are group decisions. Forrester’s State of Business Buying 2024 found that, on average, 13 people are involved, and 89% of purchases span two or more departments.

Timing matters too. 6sense’s 2025 Buyer Experience Report found that the winning vendor is on the buyer’s Day One shortlist 95% of the time. So by the time one contact replies, the committee may have already formed its view.

The answer isn’t more alerts. It’s using intent as a starting point for reaching the whole committee, which is the core idea behind account-based experience, or ABX.

The Topic Often Tells You the Role

Even without person-level data, intent topics carry clues about who’s researching. Different roles research different questions.

Topic being researched	Likely role	What they’re worried about	What to put in front of them
Pricing models, total cost, ROI	Finance	Cost and return	A clear ROI summary and pricing context
Integrations, APIs, data migration	IT	Effort and fit with existing systems	Integration guides and architecture notes
Compliance, data security, certifications	Security	Risk	A security overview and trust documentation
Workflows, ease of use, training	End users and managers	Daily impact	Short product walkthroughs and user reviews
Category comparisons, vendor alternatives	Champion or project lead	Choosing the right vendor	Comparison pages and case studies

If an account surges on integration topics, lead with content for IT, not a generic brand message. This one change makes early outreach far more relevant.

The Intent-to-Committee Playbook

Here’s how to turn an intent signal into engagement across the buying committee.

Stage	Trigger	What happens	Owner
1. Detect	Third-party surge or strong first-party activity	Account moves into an active list	Marketing ops
2. Decode	Topics and pages reviewed	Likely roles are identified from what’s being researched	Marketing
3. Map	Account confirmed as a good fit	Buying committee is mapped, including roles you haven’t met	SDR
4. Reach	Committee map complete	Role-based ads, content, and outreach run in parallel	Marketing and SDR
5. Hand off	Several roles engaging	Account passes to sales with full context	Account executive

Stage three is where most programs fall short. Our guide to buying committee mapping walks through it in detail.

For stage one, it helps to know which signals are worth acting on. Our field guide to B2B buying signals covers that, and our comparison of first-party vs third-party intent data explains the strengths of each source.

How It Plays Out Over Three Weeks

Imagine a 1,500-person healthcare services company surging on topics related to data integration and compliance. Here’s how a coordinated response might run:

Days 1–2: The account is flagged. Topics point to IT and security, so marketing launches role-based ads with an integration guide and a security overview.
Days 3–5: An SDR maps the committee and finds the IT director, the head of security, the CFO, and the operations lead.
Week 2: The IT director downloads the integration guide. The SDR reaches out with a relevant customer example, while ads continue for finance and operations.
Week 3: Pricing page views appear from the finance team. The account now shows engagement from three roles, so it moves to an account executive with a summary of who has engaged and with what.

No single contact carried this deal forward. The committee did, because each role got something relevant early.

Use Intent Data for ABM Account Tiering

Intent data also helps decide how much effort each account deserves. Combine intent with fit to set tiers:

Account type	Approach	Level of personalization
Strong fit, strong intent	One-to-one	Custom content and outreach for each role
Strong fit, moderate intent	One-to-few	Grouped campaigns by industry or use case
Moderate fit, strong intent	One-to-many	Role-based ads and scalable content
Weak fit or no intent	Light nurture	General content only

This keeps the most expensive, personalized work focused on accounts most likely to buy. For tactics at each tier, see our guide to ABM tactics. Many ABM platforms can also combine intent and fit scores automatically.

Measure Committee Coverage, Not Clicks

Intent-driven ABM should be judged by how well it reaches buying committees, not by ad clicks or single downloads.

Roles engaged per surging account: the clearest sign the program is working
Time from surge to multi-role engagement: how quickly you reach the committee
Pipeline from intent-flagged accounts: proof that signals turn into opportunities
Win rate, intent-flagged vs other accounts: whether the approach improves outcomes

You can bring these together in one account engagement score, so sales sees a single number rather than scattered data.

Common Mistakes

Emailing only the known contact. This turns an account-level signal into a single-threaded deal, the exact problem covered in our piece on single-threaded ABM.
Chasing every surge. Without a fit filter, teams waste effort on accounts that will never buy.
Using the same message for everyone. A CFO and an IT director researching the same account need different content.
Forgetting existing customers. Filter customers out of new-business campaigns, and route their signals to expansion instead.

The Short Version

Intent data tells you when an account is in market. ABX tells you what to do next: find the people behind the signal, work out what each one needs, and reach them before a competitor does.

Used together, they turn an anonymous surge into a committee that already knows and trusts you. For the fundamentals, start with our guide to intent-based marketing.

Want intent signals that reach the whole buying committee? ColedaB2B combines intent data with ABX programs to help B2B teams engage every decision-maker before the shortlist is set. Talk to us about your target accounts.

FAQs:

How is intent data used in ABM?

Intent data shows which target accounts are actively researching your category. ABM teams use it to prioritize accounts, time outreach, and choose the right content for each account.

Can intent data tell you who in an account is researching?

Most third-party intent data works at the account level. However, the topics being researched often point to likely roles, such as finance for pricing topics or IT for integration topics.

What is the difference between ABM and ABX?

ABM often focuses on targeting an account through one main contact. ABX, or account-based experience, focuses on engaging the whole buying committee with relevant content for each role.

How do you prioritize accounts using intent data?

Combine intent with fit. Accounts with strong fit and strong intent get one-to-one attention, while accounts with weaker fit or intent get lighter, more scalable programs.

How do you measure intent-based ABM?

Track roles engaged per surging account, time from surge to multi-role engagement, pipeline from intent-flagged accounts, and win rates compared with other accounts.

Tags ABM, ABX, Buying Committee, Intent Data, Intent-Based Marketing

SQL (Sales Qualified Leads)

BANT Was Built for a Rational Buyer. B2B Decisions Are Emotional and Messy

Post author By Akshay Purohit
Post date September 28, 2026
No Comments on BANT Was Built for a Rational Buyer. B2B Decisions Are Emotional and Messy

BANT, CHAMP and MEDDIC cover the rational criteria. Add three human questions (confidence, personal stakes and consensus) to avoid "no decision".

The deal passed every BANT check. Budget was approved. The contact was a vice president. The need was clear, and the timeline was set for next quarter.

Four months later, the deal died. Not to a competitor, but to “no decision.” The team decided to keep doing what they were already doing.

BANT didn’t fail because it asked the wrong questions. It failed because it skipped the ones that matter most. This guide looks at the best BANT alternatives, and the human questions every qualification framework should add.

What BANT Still Gets Right

BANT (budget, authority, need, and timing) has lasted for decades for good reasons. It’s simple, easy to teach, and quick to apply. It also filters out many accounts that were never going to buy.

For the basics, see our guide to the BANT framework. The problem isn’t that BANT is wrong. It’s that it assumes a rational, single buyer making a clean decision.

What BANT Misses

Real B2B decisions are made by groups of people, each with their own risks and doubts. Forrester’s State of Business Buying 2024 found that 86% of B2B purchases stall at some point in the process.

Many of those stalls come from factors BANT doesn’t ask about:

BANT asks	What often decides the deal
Is there budget?	Is anyone willing to spend it on this, rather than something else?
Who has authority?	Who can quietly block the decision?
Is there a need?	Does the group agree the problem is worth solving now?
When is the timeline?	Does the champion feel confident enough to push it forward?

The right column is harder to measure. It’s also where most deals are won or lost.

B2B Buying Is More Personal Than It Looks

Research backs this up. A study by CEB and Google, From Promotion to Emotion, found that personal value, such as professional reputation and confidence, had twice the impact of business value on B2B purchase decisions. Buyers who saw personal value were also far more likely to pay a premium.

That study dates from 2013, yet later research points the same way. Gartner found that B2B buyers who felt confident in their decision-making were 2.6 times more likely to buy more.

The reason is simple. In B2B, a bad purchase can damage a career. So buyers weigh personal risk alongside business benefit, even if they never say so out loud.

BANT Alternatives Compared

Several frameworks try to fix BANT’s gaps. Each has strengths and blind spots.

Framework	What it stands for	Best for	Blind spot
BANT	Budget, Authority, Need, Timing	Fast, early filtering	Assumes one rational buyer
CHAMP	Challenges, Authority, Money, Prioritization	Leading with the buyer’s problem	Still light on group dynamics
MEDDIC	Metrics, Economic buyer, Decision criteria, Decision process, Identify pain, Champion	Complex, high-value deals	Can feel heavy for smaller deals
MEDDPICC	MEDDIC plus Paper process and Competition	Enterprise deals with procurement	Takes time and discipline
GPCTBA/C&I	Goals, Plans, Challenges, Timeline, Budget, Authority, Negative consequences, Positive implications	Consultative, goal-based selling	Long to run in full

MEDDIC and its variations come closest to how groups really buy, because they cover the decision process and the champion. Still, none of these frameworks directly asks how confident or at-risk the buyer feels.

Add Three Human Questions to Any Framework

Whatever framework you use, add these three questions. They catch the risks that most often lead to “no decision.”

Question	Why it matters	How to ask it
Confidence: Does the champion feel able to make and defend this decision?	Unsure champions stall deals, even with budget	“What would you need to feel comfortable taking this to your leadership?”
Personal stakes: What does success or failure mean for them?	Personal risk shapes every decision	“If this goes well, what changes for you and your team?”
Consensus: Does the wider group agree the problem matters now?	Disagreement is a leading cause of stalls	“Who else needs to agree this is a priority, and do they yet?”

Ask these conversationally, not as a checklist. The goal is to understand the buyer, not to score them. This approach also works well in early calls, as covered in our guide to B2B appointment setting.

Spot “No Decision” Risk Early

Deals that end in “no decision” usually show warning signs weeks in advance:

The problem is described differently by each person you speak to.
The champion avoids involving senior leaders.
New stakeholders keep joining and reopening earlier discussions.
Nobody can explain what happens if the company does nothing.
The champion talks about the project but not about their own role in it.

When you see these signs, slow down and help the group align before pushing for a decision. Often, that means reaching more of the buying committee. Our guides to buying committee mapping and single-threaded ABM explain how.

A Hybrid Qualification Scorecard

You don’t need to pick one framework. Combine the most useful parts into a short scorecard:

Criterion	Borrowed from	Score 0–2
Clear problem or challenge	CHAMP
Access to the economic buyer	MEDDIC
Known decision process	MEDDIC
Realistic timing	BANT
Champion confidence	Human questions
Group agreement on the problem	Human questions
Clear personal win for the champion	Human questions

Score each criterion from 0 (unknown or negative) to 2 (confirmed). As a starting point, many teams treat 10 or more out of 14 as strong, and anything below 7 as a deal that needs more work before forecasting.

The gaps matter as much as the total. A deal can score well overall and still fail if champion confidence or group agreement is zero.

Where This Fits in the Wider Process

Qualification works best when it covers the whole account, not just one contact. That starts with how leads reach sales, as covered in our piece on the MQL to SQL handoff, and continues through every stage of the deal. For more on what makes an SQL, see our guide to sales-qualified leads.

The Short Version

BANT tells you whether a deal is possible. It doesn’t tell you whether the people involved feel ready to make it happen.

Keep what works in BANT, borrow the best of MEDDIC and CHAMP, and add three human questions about confidence, personal stakes, and consensus. That’s how you qualify for the way B2B decisions are actually made.

Losing deals to “no decision”?

ColedaB2B helps B2B teams build qualification that reflects how buying groups really decide, from first handoff to forecast. Talk to us about your pipeline.

FAQs:

What are the best alternatives to BANT?

Popular alternatives include CHAMP, MEDDIC, MEDDPICC, and GPCTBA/C&I. MEDDIC and MEDDPICC suit complex deals, while CHAMP works well when you want to lead with the buyer’s challenges.

Is BANT still useful?

Yes, for fast early filtering. However, it assumes a single, rational buyer, so it works best combined with questions about the decision process, the champion, and group agreement.

What is the difference between BANT and MEDDIC?

BANT checks budget, authority, need, and timing. MEDDIC goes deeper, covering metrics, the economic buyer, decision criteria, decision process, pain, and the champion.

Why do B2B deals end in no decision?

Deals often stall because the buying group doesn’t agree on the problem, the champion lacks confidence, or new stakeholders keep reopening discussions. Forrester found that 86% of B2B purchases stall at some point.

Do emotions really matter in B2B buying?

Yes. CEB and Google research found that personal value, such as reputation and confidence, had twice the impact of business value on B2B purchase decisions.

Tags BANT, Lead Qualificatio, MEDDIC, Sales Frameworks, SQL

Install Base Marketing

Why B2B Budgets Are Shifting From New Logos to the Install Base

Post author By Akshay Purohit
Post date September 28, 2026
No Comments on Why B2B Budgets Are Shifting From New Logos to the Install Base

One lost renewal takes about 30 new-logo opportunities to replace. That's why B2B budgets are shifting to install base marketing.

One quarter, a marketing team celebrated twelve new customers worth $30,000 each. That same quarter, one existing $400,000 account quietly didn’t renew.

The new-logo number looked great on the slide. The business still went backward.

Scenarios like this are why more B2B leaders are moving budget toward install base marketing. This piece explains what’s driving the shift, the math behind it, and how to start without starving new growth.

What Install Base Marketing Actually Means

Install base marketing is marketing aimed at existing customers, with a clear revenue goal: keep them, grow them, and turn them into advocates.

It isn’t a customer newsletter. It also isn’t something customer success can carry alone. Instead, it applies the same discipline marketing uses for new business, including segmentation, targeting, campaigns, and measurement, to the accounts you already serve.

Three Forces Moving the Money

1. Budgets Aren’t Growing

Gartner’s 2025 CMO Spend Survey found marketing budgets flat at 7.7% of company revenue. Also, 59% of CMOs said they lacked the budget to execute their strategy.

When money stops growing, leaders look for the highest return on each dollar. That points toward existing customers.

2. New Customers Cost More to Win

As Harvard Business Review has reported, acquiring a new customer can cost five to 25 times more than keeping an existing one. The same article cites Bain & Company research showing that a 5% increase in retention can raise profits by 25% to 95%.

Those figures vary by industry. Still, the direction is hard to argue with.

3. Losing a Customer Is Hard to Replace

Research presented at Forrester’s B2B Summit put numbers on the cost of churn. According to one summary of the session, replacing one lost retention opportunity takes, on average:

To replace one lost renewal, you need about
Upsell opportunities	6
Cross-sell opportunities	16
New-logo opportunities	30

Thirty new-logo opportunities to make up for one lost renewal. That ratio changes how any leadership team thinks about where effort goes.

Where New-Logo Thinking Still Dominates

Most marketing teams still run on acquisition habits, even when leadership says otherwise. You’ll usually see it in three places:

Targets. Pipeline goals count only new business, so customer programs never make the plan.
Metrics. MQL and new-logo counts get reported, while expansion pipeline doesn’t.
Ownership. Renewals and growth sit entirely with customer success, which rarely has marketing’s reach or tools.

The result is a gap. Customers hear from marketing all the time before they sign, then almost never afterward.

Four Plays That Belong to Marketing

Install base marketing isn’t one campaign. It’s a set of plays, each with its own goal and metric.

Play	Goal	Example	Metric
Adoption	Get customers using what they bought	Role-based campaigns for features customers haven’t adopted	Active usage by account
Expansion	Grow revenue inside each account	Cross-sell campaigns to departments not yet using you	Expansion pipeline
Renewal protection	Spot and reduce churn risk early	Value summaries sent before renewal talks start	Renewal rate
Advocacy	Turn happy customers into a growth channel	Case studies, reviews, and referral programs	Referral-sourced pipeline

Many of these borrow directly from new-business marketing. For example, ABM tactics work well for expansion. You can also apply an account engagement score to customers, since falling engagement is often the first sign of risk.

The Renewal Risk Most Teams Miss

Renewals rarely fail on the day the contract ends. They fail months earlier, often in conversations the vendor never sees.

Two patterns stand out today:

Tool consolidation. Security and IT leaders are cutting overlapping tools. As we covered in our piece on CISO buying decisions, vendors seen as point solutions are the first to go.
Competitor research. Customers evaluate alternatives quietly. Intent data can show when an existing account starts researching your category, which is often a warning sign.

Marketing is well placed to catch both, because it already tracks engagement and research behavior at scale.

A 90-Day Starting Plan

You don’t need a new team to begin. You need a clear first quarter.

Days 1–30: Understand the base

Segment customers by revenue, product use, and renewal date.
Identify accounts using only part of what you sell.
Agree with customer success on who owns which stage of the customer relationship.

Days 31–60: Launch two plays

Pick one expansion play and one renewal protection play.
Build content for specific roles, not generic “customer updates.”
Set up post-sale nurture streams tied to usage and renewal timing.

Days 61–90: Measure and decide

Track expansion pipeline and engagement changes in targeted accounts.
Compare results with a similar group of untouched accounts.
Decide what to scale in the next quarter.

A customer data platform helps once you scale. Early on, however, CRM data and product usage reports are usually enough.

How to Rebalance Without Starving Growth

None of this means stopping new-logo marketing. New customers still matter, and some markets demand them.

A practical approach is to move a small, fixed share of program budget, often 10% to 15%, into install base plays for two quarters. Then compare returns against new-logo programs using the same measure, such as pipeline or revenue per dollar spent.

That way, the data decides the next shift, not opinions.

What to Measure

Keep the scorecard short and tied to revenue:

Net revenue retention: revenue kept and grown from existing customers
Expansion pipeline: new opportunities inside current accounts
Renewal rate: by segment and by product
Product adoption: active use of purchased features
Referral-sourced pipeline: new business that came through customers

The Cheapest Pipeline Is Already Under Contract

Your existing customers already trust you, already know your product, and already have budget with your name on it. Yet in many B2B companies, they get the least marketing attention of any group.

Install base marketing corrects that imbalance. It doesn’t replace growth from new logos. It protects and multiplies the growth you’ve already earned.

Want more revenue from the customers you already have? ColedaB2B’s install base marketing programs help B2B teams drive adoption, expansion, and renewals with targeted, measurable campaigns. Talk to us about your install base.

FAQs:

What is install base marketing?

Install base marketing is marketing aimed at existing customers to improve adoption, expand revenue through cross-sell and upsell, protect renewals, and build advocacy.

Why are B2B companies investing more in existing customers?

Marketing budgets are flat, new customers cost more to win, and losing a customer is expensive to replace. Research presented at Forrester’s B2B Summit suggested that replacing one lost renewal takes around 30 new-logo opportunities.

Who owns install base marketing, marketing or customer success?

Both. Customer success owns the relationship, while marketing brings segmentation, campaigns, and measurement at scale. The best results come when the two agree on shared goals and clear handoffs.

What metrics matter most for install base marketing?

Net revenue retention, expansion pipeline, renewal rate, product adoption, and referral-sourced pipeline give the clearest view of impact.

How much budget should go to install base marketing?

There’s no single right number. A practical start is to move 10% to 15% of program budget into customer plays for two quarters, then compare returns against new-logo programs.

Tags B2B Budgets, Cross-Sell, Customer Expansion, Install Base Marketing, Retention

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