Skip to content 
TL,DR:
- Intent data is the observable signals that are the starting point of the campaign process, not a buying decision.
- Buyer intelligence goes beyond behavioral insights providing the exact context where companies should rely on for measurable outcomes.
- Understanding who has interacted with your content asset, what content they have consumed, how deeply they have interacted with, and how many other stakeholders from a company have interacted helps you to identify genuine opportunity.
- Modern B2B marketing leaders are measuring their business outcomes, they’re not just relied on campaign activity.
- Marketing leaders are the ones they are accountable for increasing qualified opportunities by sending accurate leads to the pipeline, which later helps the sales team to verify and consider the same for revenue contribution.
- Sylvain Awad, a demand generation director, suggested relying on buyer intelligence for measurable outcomes.
Intent data has become one of the most widely adopted strategic approaches in B2B demand generation. Yet many organizations still continue to struggle with the same problem: accounts that show strong buying signals often fail to convert into meaningful sales conversations.
As buying committees become larger and purchase cycles more complex, marketing leaders are under increasing pressure to deliver qualified opportunities instead of activity reports. That requires understanding far more than whether a company searches for a topic.
You need to know:
- Who engaged
- What captured their attention
- How deeply they interacted
- Whether engagement is expanding across the buying committee.
Those insights separate marketing assumptions from revenue-driving decisions.
The issue isn’t that intent data or the signals lacks value, but it lacks the context required to determine the approach of genuine buying activity. Modern buying decisions involve multiple stakeholders, longer evaluation cycles, and increasing demand for personalized engagement. Relying solely on third-party intent signals no longer provides enough visibility for revenue teams.
In this podcast episode of From the Source, Demand Generation Director Sylvain Awad explains why organizations are shifting from relying on intent signals completely to building decisions while relying on buyer intelligence approach. With this, a complete view of verified engagement is observed that helps marketing and sales teams in identifying genuine opportunities rather than assumptions.
Why Does Intent Data Often Fails to Generate Qualified Sales Opportunities?
Intent data is valuable only when you start getting impressions on your valuable content where buyers are researching the particular solution that solves their problem. This data helps marketing prioritize outreach, personalize campaigns, and identify emerging market interests.
However, intent alone cannot determine the actual buying readiness because it rarely reveals which stakeholders are engaged, whether interest is growing internally, or whether purchasing decisions are actively being evaluated.
The bigger problem is what the signal actually captures. Most third-party intent data tracks topic research happening somewhere on the open web: a search, an article read on a publisher site, a keyword cluster. None of that confirms an account is evaluating your specific solution, has a budget allocated, or has a champion inside the buying committee.
Awad also points to how intent gets sold. Vendors position it as a shortcut to closed revenue, because that’s the promise buyers of the tool want to hear. Demand gen teams under pressure to hit quarterly ROI targets are primed to believe it. Awad’s own team framed the tool internally as “high-quality leads” before the results proved otherwise and had to walk that framing back in front of sales.
Don’t miss the newest episode of ‘From the Source’ featuring Sylvain Awad.
What is Difference Between Intent Data and B2B Buyer Intelligence?
The distinction Awad draws, and the one worth building a strategy around, comes down to where a signal originates and what it actually confirms.
| Intent Data | B2B Buyer Intelligence |
| Third-party behavioral tracking | First-party verified engagement |
| Indicates possible interest | Confirms meaningful engagement |
| Anonymous or account-level | Known individuals and buying groups |
| Useful in early-stage awareness | Useful for qualification |
| Vendor defined scoring | Transparent engagement metrics |
| Good for prioritization | Better for sales readiness |
| Lacks buying context | Provides buying context |
Awad prefers the word intelligence to intent for a reason. Intent implies certainty about what a buyer wants next. Intelligence describes what you actually know: who engaged, with what, and how often, without pretending it means more than it does.
Modern B2B purchases rarely involve a single decision-maker, now multiple decision-makers are involved including marketing leaders, finance stakeholders, IT teams, legal reviewers, and executive sponsors. Buyer intelligence helps organizations understand whether engagement is expanding across these groups rather than relying on activity from a single contact.
How Should Marketing Intent Use Intent Data More Effectively?
After the failed BDR handoff, Awad’s team rebuilt the process. Flagged accounts no longer go straight to outreach. They enter a nurture sequence first, clicking through content, downloading assets, and coming back to read more, and reach a BDR only once that engagement pattern repeats.
The shift changed how sales and marketing talk to each other, too. Awad reviews KPIs with the sales team on a regular cadence: marketing costs-per-lead and conversion metrics alongside sales close rates. That shared visibility turned a defensive conversation into a shared accountability conversation. Both teams now enter a quarter knowing what success looks like before a campaign launches. Whether it’s an event, a nurture sequence, or a content play, they define success rather than deciding it after the invoice arrives.
Awad’s team also sets ROI benchmarks before spending a dollar. An event costing $30,000 needs a defined booking target and a larger opportunity target within a set window. Awad cites roughly double the spend on bookings and several times that in pipeline opportunity, tracked over six to nine months. Every campaign gets measured against a number decided in advance, not backfilled to justify the spend afterward.
Quick Read: From the Source: Insights from Karina Shabelsky on AI, Personalization, and the Future of B2B Marketing
How to Build a Buyer Intelligence Approach That Converts
- Anchor on first-party engagement. Track what accounts do on your own content, not just what a third-party vendor infers from the open web.
- Nurture before you route to sales. A flagged account isn’t a sales-ready account until engagement repeats.
- Set the success number before the campaign launches. Decide what a win looks like, whether that’s bookings, opportunities, or conversion rate, before the budget goes out.
- Get sales and marketing reviewing the same KPIs. Shared visibility turns friction into shared accountability.
- Question every vendor’s definition of intent. Ask exactly what data feeds the score before building a process around it.
Why Should B2B Leaders Combine Intent Data with Buyer Intelligence?
The future of B2B demand generation isn’t about replacing intent data. Instead, it’s about relying on data that helps you place intent within a broader buyer intelligence framework. Organizations that combine verified first-party data, transparent lead validation, and shared sales-marketing accountability gain a more accurate understanding of buying readiness. This enables better resource allocation, stronger conversion rates, and more predictable revenue performance.
Ready to replace assumptions with verified engagement?
Learn how Vereigen Media’s VM Intelligence and Verified Content Engagement solutions help organizations combine verified first-party engagement with actionable buyer intelligence to identify qualified opportunities and improve demand generation performance. Get in touch with the Vereigen Media team today to discuss your demand generation goals.
Leads. Done Right.
Frequently Asked Questions (FAQ): Intent Data vs. B2B Buyer Intelligence
Intent data is typically the overview of behavioral searches of the company, how they download content assets, search keywords, review sites, and other observable digital signals. Buyer intelligence goes beyond just observing the digital signals, they blend these signals and notice who is in the market, how to engage them, and when to act.
Intent signals are the ones which give you information regarding how companies download content assets, review sites, and how they engage with different sites while evaluating the solutions. But the information collected while relying on intent signals and proceeding it with sales approach directly, it erodes trust, fill your pipeline with inaccurate leads. This fundamental, which is combined with generic pitches, misalignment between sales and marketing teams, usually leads in lead rejection and wasted efforts.
Intent leads are not that worthy, where most of the marketing leaders called it as inaccurate and unworthy leads. This no context or low interest leads are not that deserving to be incorporated into the pipeline. Evaluating and nurturing those leads is crucial, so Sylvain Awad’s team stop intent leads sending directly into the sales pipeline.
No, without verifying and evaluating a lead, it’s not a good practice to move forward with a lead that just showed an intent. One should validate the leads based on repeated engagement, clicks, downloads, and return visits.
Marketing and sales teams should move forward on a unified approach such as shared KPIs, performance reviews, objectives, and should continue their approach while filling their pipeline with genuine, interested leads that actual drive revenue for the organization. They should work as a team rather than working as two different teams: a revenue-focused team.
Buyer intelligence matters more while moving further in demand generation and lead generation process. This helps to move beyond the observable signals and actually verify the interested leads and consider them while moving with personalization, campaign effectiveness, and revenue outcomes.
Written By –
