Comparison
Scout vs. intent data
Intent data infers interest from aggregate behavior; Scout delivers specific, cited trigger events with a verified contact and a first line for each account.
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In short
Intent data estimates which segments may be researching a purchase; Scout identifies the specific, datable event at a named account and packages it as a ready-to-use opening.
What intent data is
Aggregated, probabilistic signals of interest - content consumption, keyword surges - used to infer that accounts may be in-market.
Best for: Prioritizing warm segments and topics at the top of the funnel.
Side by side
| Dimension | Scout | Intent data |
|---|---|---|
| Evidence | Cited source URL and date | Inferred from behavior models |
| Granularity | Specific event at a named account | Topic surge across a cohort |
| Actionability | Buyer path, contact, and first line | Account scores or topics |
| Verifiability | You can check the source | Usually a black box |
The verdict
Use intent data to prioritize warm topics and segments at scale. Use Scout when you want a concrete, verifiable reason and a ready-to-send opening for each specific account.
Frequently asked questions
- Can Scout replace intent data?
- They serve different jobs. Intent data points to warm segments; Scout gives you the cited, account-specific reason and the contact to act on. Many teams use intent data to focus a market and Scout to turn focus into reviewed openings.
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Send your ICP and offer. Scout returns five researched openings - each with the signal, source, a verified contact, and a first line. No sales call required.