The problem this solves
Signals exist everywhere: page views, form answers, email engagement, enrichment data. Without architecture they never become action: data lands in properties nobody reads, scoring is either absent or a stale point system nobody trusts, segmentation means one big newsletter list, and personalization stalls because there is no reliable signal layer for it to act on.
How we work
We inventory and prioritize signals first: which behavioral, declared, and enriched signals actually predict intent for your motion, which are noise, and what capture needs to be added through form design, tracking, or enrichment sources.
Then we design the flow: how signals aggregate into properties and scores. We design fit and engagement as separate scoring dimensions, with engagement built to decay over time, so old activity stops masquerading as current interest, and we define how scores and attributes drive segment membership.
The activation layer closes the design: where personalization earns its cost, from smart content in email and on pages to routing and alerting for sales, specified against the HubSpot features on your tier so implementation is direct.
Deliverables
- Signal inventory with predictive value assessment
- Capture design: forms, tracking, enrichment sources
- Scoring model design: fit and engagement, with decay
- Segmentation architecture
- Personalization use case specifications
- HubSpot implementation mapping