Most lead scoring only sees what lives in your CRM. Trailspark connects product users, marketing leads, and CRM contacts into one organization-level view and scores them together. It learns what qualified looks like from your data, evaluates product usage, demand gen signals, and ICP fit in a single pass, and shows you exactly why. Built for B2B SaaS teams running PLG, sales-led, or hybrid motions.
Active product usage and high intent marketing engagement, and strong ICP fit.
Built for Marketing Ops, Demand Gen, and Growth teams at B2B SaaS companies
Points-based scoring only sees what's inside one system. Usually that means your CRM contacts or your marketing leads, but rarely your product users. Trailspark connects all three into one organization-level view, learns what qualified means from your actual outcomes, and evaluates product usage, demand gen engagement, ICP fit, and timing together. The AI shows its reasoning for every score.
Automatically builds your ICP model from closed-won data and identifies the accounts and contacts that match.
Connecting to your CRM...
Analyzes your closed-won deals to map the firmographic, demographic, and role-based patterns behind your best customers, beyond just company size and industry
Detects when scoring accuracy drifts as your market, product, or ICP changes and recommends model updates before results start to slip
Assesses sentiment from recorded prospect conversations to add a qualitative layer to your scores, catching nuance that event data alone misses
Let SparkSense AI Agent work for you 24/7
Built for B2B revenue teams who need accurate lead scoring, not more dashboards.
Ingest any signal through flexible webhooks in real time: product usage events, marketing engagement, CRM updates, and custom actions. Your scoring model gets the full picture as it happens.

Most "AI-powered" scoring tools bolt a model onto one system's data and call it intelligence. Trailspark starts by resolving identities across your product, marketing, and CRM to build a unified organization-level view that most tools never see. From there, you map your product milestones, engagement patterns, and ICP criteria into signals the model actually understands. The AI learns from your expertise, not the other way around.

See exactly why each lead was scored the way it was, in plain language. Understand which product signals, engagement patterns, and fit criteria drove the evaluation. Every assessment includes a confidence level.

"High engagement across multiple touchpoints with increasing frequency indicates strong buying intent..."
Tell Trailspark when a score was right or wrong with one click. The model adapts to your market, your buyer behavior, and your definition of qualified. Accuracy improves with every correction.

Push lead scores and AI reasoning directly to your CRM as they update. Trailspark can also create new CRM records for product users who meet your scoring criteria. No need to sync every free user and inflate costs. It scores at the organization level first and only surfaces the leads worth tracking in your sales workflow.

From scattered signals across product, marketing, and CRM to unified organization-level scores your team can act on. Ingest, resolve, evaluate, and activate in one platform.
Start free, scale as you grow.
For testing with a small lead set
For early-stage B2B SaaS teams
For scaling PLG and hybrid GTM teams
For high-volume B2B operations