Scoring that sees every signal
Separate signal from the noise in your product data and package up product-led plays for reps to prioritize and convert.

What results can I expect?
What's wrong with the status quo?

Signal blindness
Traditional scoring relies on what a marketing automation platform can see, leaving critical buying signals unscored.

Black box scoring
ABM platforms provide an account score but don’t offer context on what’s behind that score.

Generic outreach
Without clear reasons behind scores, sellers default to one-size-fits-all messaging that lands flat and ends up in spam.
What's the secret sauce?
Get the most informed scores on the market.
Scoring that reflects every buying signal
Combine hundreds of buying signals—from first-party product usage to dark-funnel chatter to website engagement—into a single, comprehensive buying intent score. Score signals at the person level and aggregate scores across an account record.

See the story behind the score
Hover over any score to reveal the exact behaviors and attributes behind the score. Give reps the transparency and context they need to reach out with a message that packs a punch.

Lead & account scoring made simple
Weight what buying signals matter most with simple weight sliders—no data scientist or spreadsheet gymnastics required.

Prioritize what generates pipeline
Turn every rep into a top performer by focusing their time and effort on the highest-scored prospects who are likely to convert.

Find your best buyers.
We think you'd like these
Playbook
Follow up on the best leads fast with signal-based scoring
Engage the right accounts at the right time using every signal.
Blog post
30+ Examples of Buying Signals (And How to Act on Each One)
Aug 31st, 2026·12min readThis guide breaks down 30+ buying signals across conversations, first-party behavior, and the dark funnel so you can spot real purchase intent before competitors do. Learn...Blog post
Signal-Based Selling Isn't Just Vibes
Aug 28th, 2026·7min readSignal-based selling, defined: what it actually means, where it came from, and how to tell if a platform really delivers it.


