Intent Data for RevOps Teams: What to Buy, How to Use It, and What to Ignore

Intent data is the promise of knowing which accounts are in-market before they fill out a form. It's one of the most hyped — and most misunderstood — categories in B2B sales and marketing.

The promise: "We can tell you which companies are researching your category right now."

The reality: some intent data is genuinely useful. A lot of it is noise. And almost everyone implements it wrong.

What Intent Data Actually Is

Intent data tracks signals that suggest a company is researching or evaluating solutions in your category. There are three types:

First-Party Intent

Source: Your own properties — website visits, content downloads, email engagement, product usage.

Pros: Highest signal quality. You know exactly what they did and when.

Cons: Limited to accounts that already found you. Doesn't capture research happening elsewhere.

You already have this — it lives in your analytics, MAP, and CRM. If you're not using first-party intent effectively, don't buy third-party intent. Fix the foundation first.

Second-Party Intent

Source: Review sites (G2, TrustRadius, Gartner Peer Insights), publisher networks, and data co-ops where specific sites share their visitor data.

Pros: Higher specificity than third-party data. You know which exact sites they visited (e.g., "this account viewed your G2 profile").

Cons: Limited scale. Only covers accounts that visit participating sites.

Best use case: Triggering outreach when an account views your G2 profile or compares you to a competitor. This is a strong buying signal.

Third-Party Intent

Source: Aggregated web activity data from publisher cooperatives, ad exchanges, and data brokers. Providers like Bombora, 6sense, and Demandbase track which companies are consuming content related to specific topics at above-normal rates.

Pros: Broadest coverage. Can identify accounts you've never interacted with.

Cons: Noisy. A "surge" in content consumption about "CRM" could mean they're evaluating vendors, writing a blog post, or their intern is doing market research. The signal is fuzzy.

Evaluating Intent Data Providers

The Big Players

Provider	Data Type	Strengths	Limitations	Pricing
Bombora	Third-party (publisher co-op)	Largest B2B intent dataset. Topic-level granularity.	Noisy at broad topic level. Better for trending than timing.	$24-60K/year
6sense	Third-party + AI predictions	Account-level buying stage prediction. Good CRM integration.	Expensive. AI predictions can be opaque.	$60-150K/year
Demandbase	Third-party + first-party	Strong ABM platform integration. Account identification.	Best value when using full ABM suite, not standalone.	$36-120K/year
G2	Second-party (review site)	Highest specificity — actual product research behavior.	Only covers accounts visiting G2. Smaller scale.	$15-40K/year
TrustRadius	Second-party (review site)	Similar to G2 with buyer-intent signals from reviews.	Smaller publisher footprint than G2.	$12-30K/year
ZoomInfo	Third-party + first-party	Combined with contact data. Good for outbound enrichment.	Intent data is secondary to contact database.	$25-60K/year

What to Ask During Evaluation

1. "What's the source of your intent data?" If they can't explain clearly where the data comes from, that's a red flag. "We have proprietary AI" isn't an answer.

2. "How do you define a 'surge' or 'in-market' signal?" The threshold matters enormously. A company that read one article about CRM isn't in-market. A company that consumed 15 pieces of CRM-related content in two weeks probably is. Understand how the provider distinguishes signal from noise.

3. "What's the false positive rate?" Every provider has false positives — accounts flagged as in-market that aren't actually buying. Ask for case studies or benchmarks showing what percentage of "intent-flagged" accounts actually enter pipeline.

4. "Can we run a historical backtest?" Give the provider a list of accounts that bought from you in the last 12 months. Ask them to show whether their intent data would have identified those accounts before they entered your pipeline. If not, the data isn't useful for your specific market.

5. "What's the refresh frequency?" Daily signals are actionable. Weekly signals are useful. Monthly signals are often stale by the time they reach a rep.

How to Actually Use Intent Data

Most companies buy intent data and dump it into their CRM as an account score. Reps see "high intent" and do nothing different. The data creates dashboards, not deals.

Use Case 1: Prioritize Outbound

Instead of working a static account list, sort your target accounts by intent signal strength. Accounts showing active research get contacted first. This isn't about sending different emails — it's about sequencing effort toward accounts that are actually in a buying cycle right now.

Implementation: Push intent scores into your CRM nightly. Build a filtered view for reps: "My accounts, sorted by intent score, updated today." That's their call list for the day.

Use Case 2: Trigger Advertising

When an account enters an intent surge, trigger targeted display ads. Not generic brand ads — specific ads addressing the topic they're researching.

If an account is surging on "CRM migration," serve ads about your migration support. If they're surging on "sales forecasting," serve ads about your forecasting capabilities.

Implementation: Push intent-flagged accounts into your ad platform as an audience. Rotate ad creative based on intent topics.

Use Case 3: Personalize Outreach

The most effective use of intent data: referencing the actual research in your outreach.

Instead of: "Hi, I'd love to show you our platform."

Try: "I noticed your team has been evaluating CRM solutions — we recently helped [similar company] migrate from Salesforce to HubSpot in 6 weeks. Worth a conversation?"

You don't say "our intent data told us you're researching this." You demonstrate relevance by addressing their likely pain point.

Use Case 4: Alert on Competitive Signals

Most intent providers can track research related to specific competitors. When an account researches your competitor, that's a trigger for outreach with competitive positioning.

Implementation: Set up alerts for accounts researching competitor names or categories. Route to the account owner with a competitive battle card attached.

Use Case 5: Score Inbound Leads

Layer intent data into your lead scoring model. An inbound lead from an account that's also showing third-party intent signals is significantly more likely to convert than one from a cold account.

Implementation: Add intent score as a factor in your lead scoring formula. Weight it at 15-25% of the total score.

What Intent Data Can't Do

It can't predict timing precisely. "This account is in-market" doesn't mean "this account is buying this quarter." Intent signals indicate research activity, which could be 3-12 months ahead of a purchase decision.

It can't identify the right contact. Intent data is account-level, not contact-level. Knowing that "Acme Corp is researching CRM solutions" doesn't tell you who at Acme is driving the evaluation. You still need enrichment and prospecting to find the right person.

It can't replace a bad sales process. Intent data helps you find warm accounts faster. If your outreach, demo, and closing process are broken, faster leads just means faster rejection.

It can't work in isolation. Intent data is one signal among many. Combine it with firmographic fit, engagement history, and relationship mapping for a complete picture.

The Honest ROI Calculation

Intent data is expensive. Before buying, model the ROI:

• How many additional meetings per month would intent data need to generate to justify the cost?
• At your current meeting-to-opportunity conversion rate, how much incremental pipeline is that?
• At your win rate, how much incremental revenue?

Example: $36K/year for intent data. Your ACV is $24K. If intent data helps you close just 2 incremental deals per year, it's ROI-positive. If it helps you close 4-5, it's a strong investment.

If the math requires intent data to generate dozens of incremental deals to break even, either the tool is too expensive for your stage or your market is too niche for broad intent signals to be useful.

Start with a pilot. Measure against a control group. Scale if the data proves out. Intent data can be a genuine competitive advantage — but only if you build the operations to use it.