Add outside-market behavior to investment research
Investment teams can use behavioral signals to test market attention, customer research, competitive overlap, and category momentum. These indicators complement financial, operational, and expert evidence.
Request industry data ↗Decisions the data can support
- Is category attention broadening?
- How durable are discovery sources?
- Which alternatives share consideration?
- What leading indicators support the thesis?
What a scoped dataset may contain
- Category demand trends
- Competitive overlap
- Repeat research
- Acquisition and downstream paths
Outputs shaped for the workflow
- Due diligence extract
- Portfolio monitoring feed
- Market momentum index
- Competitive journey analysis
Clickstream data for market and journey intelligence
A practical guide to clickstream data, journey analysis, delivery formats, aggregation, quality controls, privacy boundaries, and business applications.
Continue ↗ProductDomain and category trends that show where attention moves
Track attention, overlap, discovery sources, and category movement across defined digital markets.
Continue ↗Use caseDigital behavior data for commercial due diligence
Evaluate market demand, customer acquisition, competitive position, and digital momentum with aggregated, privacy-secured behavioral data.
Continue ↗ResearchAI referrals can be small in volume and strong in intent
A source-separated analysis of Similarweb and Adobe benchmarks for AI referral conversion, bounce rate, traffic growth, and commercial intent.
Continue ↗Start with one question.
Define the right signal.
Coverage, fields, cadence, and safeguards are confirmed before delivery.
Request a scoped sample ↗