Intent Data

Using Intent Data for Outbound Prospecting

For: SDR managers, outbound sales leaders, and demand gen teams evaluating intent data for prospecting

Intent data promises to tell you which accounts are ready to buy before they fill out a form. The reality is more nuanced: intent signals are probabilistic, noisy, and require operational infrastructure to act on. When used well, intent data increases outbound conversion rates 2-3x. When used poorly, it's an expensive dashboard nobody checks. The market splits into three signal types: third-party intent (Bombora, 6sense tracking content consumption across publisher networks), first-party intent (your website visitors, identified by tools like Warmly or Leadfeeder), and hiring intent (companies posting jobs for roles that use your product type). Each signal has different accuracy, freshness, and actionability. The teams that get ROI from intent data have one thing in common: they built the workflow before they bought the data. 'What happens when an account shows intent?' needs a clear answer (who gets notified, what outreach starts, how quickly) before the data source matters.

Our top pick for sdr managers, outbound sales leaders, and demand gen teams evaluating intent data for prospecting is Bombora, mentioned in 1 job postings.

What to Look For

Signal freshness

Intent data decays fast. A buying signal from 30 days ago is old news. Look for weekly or daily signal updates. Monthly batch updates are too slow for outbound prospecting where timing matters.

Topic granularity

'Researching sales technology' is too broad. 'Researching CRM migration' is actionable. The more specific the topic taxonomy, the more useful the signal for personalized outreach. Ask providers how many topics they track and how granular they get.

CRM integration for workflow automation

Intent data needs to trigger actions: account owner alerts, sequence enrollment, lead score bumps. If the integration requires manual export/import, adoption will die within a month. Native CRM push is essential.

Noise filtering and scoring

Raw intent signals fire on 20-30% of your TAM in any given week. Most are false positives (competitors researching, analysts writing reports, employees of your existing customers). Look for scoring that separates genuine buying interest from background noise.

Our Recommendations

1. Bombora

1 job mentions

The largest intent data co-op (5,000+ B2B publishers). Standalone product that integrates with your existing CRM and tools. Best for teams that want intent data without committing to a full ABM platform like 6sense or Demandbase.

2. 6sense

22 job mentions

Combines third-party intent, first-party web activity, and AI-driven buying stage predictions. The most complete intent picture, but also the most expensive and complex to implement. Worth it for teams with dedicated ABM ops.

3. Warmly

31 job mentions

First-party intent (website visitor identification) is the highest-quality signal: someone at a target account is on your website right now. Warmly turns this into real-time alerts and automated outreach triggers.

4. Common Room

1 job mentions

Community and social intent signals: who's engaging with your open-source project, mentioning your category on Twitter, or asking questions on Stack Overflow. A different signal type that complements traditional content consumption intent.

The Bottom Line

Start with first-party intent (website visitor identification via Warmly or Leadfeeder) because it's the highest-fidelity signal and the cheapest to implement. Add third-party intent (Bombora or 6sense) once you've proven that acting on first-party signals generates pipeline. The workflow matters more than the data source: define what happens when intent fires before you buy the data.

Frequently Asked Questions

Is intent data worth it for a small team?

Under 10 reps, probably not. Intent data requires ops capacity to configure, tune, and build workflows around. Small teams get better ROI from basic ICP targeting and good messaging. Intent data becomes worthwhile at 15-20+ reps when manual account prioritization breaks down.

How accurate is intent data?

Expect 60-70% of high-intent accounts to be legitimate prospects when you reach out. The other 30-40% are competitors, analysts, employees of existing customers, or false positives. This is still 2-3x better than cold outbound without intent. Perfection isn't the benchmark; improvement over baseline is.

What's the ROI timeline for intent data?

Plan 2-3 months to implement, tune, and build workflows. Expect measurable pipeline impact by month 4-6. Full ROI (the tool pays for itself in additional pipeline) typically takes 6-9 months. Teams that buy intent data expecting immediate results are usually disappointed. Teams that invest in the operational infrastructure see compounding returns.

About the Author

Rome Thorndike has spent over a decade working with B2B data and sales technology. He led sales at Datajoy, an analytics infrastructure company acquired by Databricks, sold Dynamics and Azure AI/ML at Microsoft, and covered the full Salesforce stack including Analytics, MuleSoft, and Machine Learning. He founded DataStackGuide to help RevOps teams cut through vendor noise using real adoption data.