Trailspark + HubSpot Lead Scoring Integration
Scores with written reasoning on your Contacts, company propensity and buying-group coverage on the Company record, and properties your existing Workflows can trigger on.
What syncs between Trailspark and HubSpot
Every field is mapped during setup and updates as each evaluation completes or HubSpot data is updated.
TrailSpark Score
→ HubSpotHot, Warm, or Cold, written to a Contact property you create. Pushed as each evaluation completes.
TrailSpark Reasoning
→ HubSpotThe written, plain-language reason behind the score, in a multi-line text property reps read before they act.
TrailSpark Evaluation Date
→ HubSpotWhen the evaluation ran. Pair with Score Status so Workflows can tell fresh scores from stale ones.
Company Propensity, ICP & Score Status
→ HubSpotOn the Company record: propensity (high, medium, or low), the ICP the account was scored against, and a score status of current, retired, or not evaluated. All optional, mapped per property.
Buying-group roles & coverage
→ HubSpotWith the buying-group toggle on: role names on Contacts plus company-level coverage properties. Only mapped properties are ever written.
HubSpot Company Properties
← HubSpotFirmographic fields from Company records flow in for ICP fit evaluation without duplicating data entry.
Use cases
Replace static MQL scoring with explainable AI scoring
Many HubSpot teams run a static point-based MQL model that drifts out of date. Trailspark writes a separate score so the existing MQL model keeps running, and teams compare the two over 30 days before consolidating on Trailspark's reasoning-based scoring.
PQL scoring for product-led motions
HubSpot's built-in scoring does not read product usage events. Trailspark ingests product events via webhooks, scores them together with HubSpot's marketing engagement data, and writes a single product qualified lead signal to HubSpot for sales routing.
Clean CRM growth during free trial expansion
Free trial signups stay in Trailspark until they cross the scoring threshold you configured. HubSpot only receives Contact records for trial users with real buying signal, so your HubSpot contact count reflects pipeline-worthy users rather than total signups.
Setup
From authentication to first scored contact in under an hour for most teams.
- 1
Connect HubSpot via OAuth
Authenticate from the Trailspark integrations panel with a HubSpot admin account. No HubSpot app install required.
- 2
Create the Trailspark custom properties
An admin creates the Contact properties (Score, Evaluation Date, Reasoning) and optional Company properties (Propensity, ICP, Score Status). Trailspark gives you the exact names and types; a TrailSpark property group keeps them organized.
- 3
Map properties from a dropdown
Trailspark loads your HubSpot property schema automatically. Map each Trailspark output to the property you created.
- 4
Choose which score levels create records
Enable record creation and pick which score levels (Hot, Warm, Cold) trigger it. Users below your bar stay in Trailspark without cluttering your HubSpot database.
- 5
Build workflows on the score properties
Use HubSpot Workflows to route on score, branch on ICP, or suppress actions when Score Status reads retired. Pushes land as each evaluation completes.
Common questions
Other integrations and pages
See Trailspark and HubSpot on your own data
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