Intent Data ROI: Which Buyer Signals Drive Pipeline
By Rome Thorndike | May 14, 2026
Intent data was the marketing technology bet of the 2020s. Forrester's 2025 Buyer Insights report estimates B2B teams spent $4.2 billion on intent data platforms in 2024, up 35% from 2022. The pitch is simple: identify accounts showing buying signals before they fill out a form, then act on the signal before competitors do.
The execution is harder. Forrester's 2025 data also shows that 60% of B2B teams using intent data report no measurable pipeline impact within 12 months of deployment. The platforms work. The integration into sales and marketing workflows does not, in most cases.
This breakdown covers which signals matter most, vendor differences that affect ROI, and a 90-day pilot framework for teams evaluating intent data for the first time.
The Three Types of Intent Data
First-Party Intent
Signals from your own digital properties. Website visits, pricing page views, demo requests, content downloads, product trial signups, return visits within a window. First-party intent is the most reliable signal because the action ties to a specific account on a property you own and measure directly.
The platforms that surface first-party intent: HubSpot, Marketo, Pardot, and dedicated platforms like Mutiny and Drift. Most teams have first-party intent already and underuse it. Before paying for third-party data, audit what you do with first-party signals. Most teams discover that 30 to 50% of demo requests do not get sales follow-up within 24 hours, which kills the value of the signal.
Second-Party Intent
Signals from review sites and software comparison platforms (G2, TrustRadius, Capterra, Software Advice). When a prospect researches you on G2, that signal is high-value because the action is mid-to-late funnel. They are evaluating vendors.
G2 Buyer Intent is the most widely adopted second-party platform. Pricing starts around $40K per year and scales with category coverage. TrustRadius offers similar data at slightly lower price points. Both integrate natively with major marketing automation platforms and ABM platforms.
Second-party intent outperforms third-party intent for late-stage signals because the research action is specific to your product category. The downside: coverage is limited to prospects who visit review sites, which skews toward larger companies and more researched purchases.
Third-Party Intent
Aggregated signals from B2B publishers and content networks. Bombora is the largest provider, capturing topic-level signals from 4,000+ B2B publisher partners. 6sense and Demandbase ingest their own networks plus third-party feeds. ZoomInfo Streaming Intent layers intent on top of their contact database.
Third-party intent is broad but noisy. A topic surge for "ABM platforms" at a target account could mean anything from active evaluation to one analyst reading an industry report. Use third-party intent for account-level prioritization (which accounts to include in ABM programs), not for lead-level scoring decisions.
Which Signals Correlate with Closed-Won
Across published case studies from 6sense, Demandbase, and G2 customers, three signal types correlate most strongly with closed-won outcomes.
Pricing page visits. Highest correlation. When a prospect visits your pricing page, they are evaluating fit and budget. First-party intent platforms catch this signal cleanly. Sales follow-up within 4 hours converts at 3 to 5x the rate of follow-up within 24 hours.
Competitor comparison page visits. Strong correlation. When a prospect visits a "you vs competitor" page on your site or on a review platform, they are in active evaluation. G2 Buyer Intent surfaces this from the review-site side.
Multiple touches within a 30-day window. Cumulative engagement across content, ads, and website visits predicts conversion better than any single touch. Most intent platforms can aggregate signals into a composite score. Use the composite, not individual signals, for prioritization decisions.
Signals that correlate weakly with closed-won: single content downloads, isolated webinar registrations, third-party topic surges without other supporting data. These signals are too broad to drive specific action.
Vendor Tradeoffs
6sense and Demandbase
The two enterprise platforms with full-stack offerings (intent data, ABM advertising, account scoring, sales activation). Both run $100K to $300K+ per year. Both work well when teams commit to the integration and workflow changes. Both fail when teams treat the platform as a data feed rather than a workflow change.
6sense is stronger on predictive analytics and buying-stage classification. Demandbase is stronger on advertising execution because they operate their own DSP. For deeper analysis, see our ABM platform comparison.
Bombora
The classic third-party intent provider. Standalone Bombora deployments run $25K to $75K per year. Bombora data feeds many other platforms (6sense, ZoomInfo, several ABM tools), so teams sometimes get Bombora-derived data through a parent platform without buying directly. Useful for account-level prioritization, less useful for lead scoring.
ZoomInfo Streaming Intent
Intent layered on top of the largest B2B contact database. Streaming Intent costs $50K to $90K per year depending on territory and seat count. Strong fit for teams that already use ZoomInfo for enrichment because the integration is native and the contact data is already in your CRM.
G2 and TrustRadius
Second-party intent providers focused on review-site activity. G2 Buyer Intent starts around $40K per year. TrustRadius is similar. Both surface high-quality late-stage signals but limited to prospects who actively research on review sites. Excellent supplement to first-party intent, weaker as a standalone solution.
The 90-Day Pilot Framework
Most teams that evaluate intent data make the same mistakes. They buy too much platform too fast, they do not change sales workflows, and they measure ROI on the wrong timeline. Here is a pilot framework that holds up.
Days 1 to 30: Baseline. Pull your current pipeline data by source. Tag every opportunity with whether marketing or sales sourced it, the channel, and time to close. Identify the highest-conversion channels and the slowest-to-respond paths. This is your control group.
Days 31 to 60: Integration. Wire the intent platform into your CRM. Set up alerts for the top three signal types (pricing visits, competitor visits, multi-touch engagement). Train sales reps on what to do with each signal type. Document the workflows.
Days 61 to 90: Measurement. Run the integrated workflow against a controlled subset of your TAM. Compare opportunity creation rates and time-to-first-touch for the pilot accounts versus baseline. The metric to watch is first-touch speed for high-intent signals. If your team responds within 4 hours, the platform is paying off. If response stretches past 24 hours, the platform is not the problem.
Teams that follow this framework get a clear yes-or-no answer on platform fit within 90 days. Teams that skip the integration step end up renewing platforms that produce no measurable ROI year after year.
Where Intent Data Breaks Down
Three failure modes show up in 70%+ of underperforming intent deployments.
Sales does not act on signals fast enough. Intent signals decay rapidly. A pricing page visit is high-value at hour 1 and near-zero by hour 48. Without sales SLAs on signal response, the platform produces alerts that no one acts on.
Signals are not integrated into existing workflows. If reps have to log into a separate platform to see intent data, they will not. Intent data must surface inside Salesforce, HubSpot, Outreach, or wherever reps already spend their day.
The team treats intent as a list builder rather than a workflow trigger. Pulling target account lists from intent data is fine. The real value comes from triggering actions (ads, outreach, alerts) based on real-time signals, not from one-time list exports.
Demand gen managers fluent in intent data integration tend to earn $140K to $175K, per our salary database. The skill correlates strongly with ABM and marketing operations roles. See our career guides for the broader picture.
Frequently Asked Questions
How much does B2B intent data cost?
Pricing ranges from $25K per year for Bombora topic data to $200K+ per year for full 6sense or Demandbase deployments. Mid-tier options (G2 buyer intent, ZoomInfo Streaming Intent) sit at $50K to $90K. Cost scales with the number of accounts tracked and the depth of integration with your CRM and ad platforms.
Which intent signals correlate best with closed-won deals?
Pricing page visits, competitor comparison page visits, and demo requests on your own site (first-party intent) outperform all third-party signals. Among third-party sources, G2 and TrustRadius buyer intent (second-party) outperforms aggregated topic data (third-party) because the buying action is more deterministic.
Does intent data work for SMB-focused B2B?
Less well. Most B2B intent data platforms are tuned for mid-market and enterprise buyers ($25K+ ACV). SMB buyers move too fast and research too narrowly for intent signals to predict closed-won reliably. For SMB-focused teams, first-party signals (your own website and product) are more useful than third-party intent.
What is a realistic pipeline lift from intent data?
Teams that integrate intent data well see 15 to 30% pipeline lift in the first 12 months according to Forrester and TOPO benchmarks. Teams that bolt on intent data without changing workflows or sales engagement see no measurable lift. The platform is the easy part. Integrating signals into daily sales and marketing motions is where ROI breaks down.