Fits into your existing stack. Not the other way around.
Connect your CRM, your marketing tools, and your product analytics. Trailspark pulls it all together, scores leads and accounts with full context, and writes the results back to where your team already works. No rip-and-replace. No six-month implementation.
Bi-directional CRM sync
Trailspark connects to your CRM in both directions. It pulls account and contact data for enrichment, so scoring has the firmographic and role context it needs. Then it writes scores and reasoning back to the fields your team already uses, so reps never have to open another tool.
What you get
Setup is OAuth, field discovery is automatic, and you control which fields Trailspark reads and writes. In Salesforce, Trailspark handles Contact-over-Lead prioritization automatically, so duplicate matching doesn't break your account linking.
Salesforce
HubSpot
One endpoint. Every signal.
Most scoring tools can only see what lives inside one system. Trailspark accepts behavioral signals from any source in your stack, so scoring reflects what people actually do across your product, your marketing, and your website. One webhook endpoint — any tool that can send data over HTTP can send signals to Trailspark.
CDPs & analytics pipelines
Segment, RudderStack, or any CDP that supports webhook destinations. If you already have product and marketing events flowing through a CDP, connecting to Trailspark takes minutes.
Marketing automation
Marketo, HubSpot workflows, or any platform with outbound webhooks. Send form fills, email engagement, webinar attendance, program status changes, and page visits to Trailspark without any code changes.
Conversational tools
Chat and engagement platforms like Qualified can push conversation events and product tour completions into the scoring pipeline.
Product usage
Send events directly from your application, whether client-side or server-side. Feature adoption, onboarding milestones, collaboration signals, API usage thresholds, subscription changes. The signals that matter most in PLG often live here, and most scoring tools never see them.
Anything else
Zapier, Make, Webflow, Typeform, or any custom integration. If your tool can make an HTTP request, it works with Trailspark.
Identity resolution
Product users and CRM contacts often don't overlap cleanly. Trailspark joins product workspaces to CRM accounts automatically, so every product user's activity factors into the account-level evaluation — even if they never filled out a form or exist as a contact in your CRM. For individual-level matching, Trailspark connects records when a shared identifier exists across systems, like a matching email or a CDP user ID.
Signal mapping
You don't need to standardize your data before sending it. Each source sends data in its own format. Trailspark's mapping layer normalizes everything into a unified signal stream, so your marketing team's Marketo webhooks, your product team's Segment events, and your backend's server-side calls all feed into the same evaluation without anyone rewriting their instrumentation.
Scores that change what happens next
Scoring only matters if it changes what happens next. After evaluation, Trailspark pushes scores and reasoning back to your connected systems.
Every score includes the reasoning behind it. Your reps see why a lead is hot and what changed, not just a number. That's the difference between a score reps ignore and evidence they trust.
How it all fits together
Signal ingestion
Any format, any source
Identity resolution
Match people & accounts
CRM enrichment
Add firmographic context
AI evaluation
Lead + account scored together
Score delivery
Back to where your team works
Signals flow in from any source. Trailspark maps them, resolves identities, enriches with CRM context, evaluates leads and accounts together with AI, and pushes scores with reasoning back to where your team works. Every step is visible and configurable.
Get started
Connect your CRM and your first signal source. Most teams have scores landing in their CRM within the first week.