n-Freshsales Scores Every Lead. The Score Only Knows What Freshsales Knows.
Freshsales assigns every contact and lead a numeric score automatically, combining demographic fit (job title, company size, industry) with behavioral signals like email opens, clicks, and website visits, so reps can sort a list by who's actually worth calling next instead of working it top to bottom. That score only ever reflects data already sitting inside Freshsales. Anything your business tracks somewhere else never factors in unless someone builds the bridge.
How Freshsales' native scoring actually works
The scoring model runs on rules you configure yourself: positive and negative criteria, weighted however you decide, applied across both who a contact is and what they've done. A VP at a company in your target industry might score higher on fit alone, while someone who's opened three emails and visited your pricing page twice picks up engagement points on top of that, all rolled into one number you can sort, filter, and trigger workflow rules against.
Higher Freshsales tiers add an AI-assisted layer on top of the manual rules, using your own historical won and lost deals to refine which signals actually correlate with a closed deal rather than relying purely on criteria a person guessed at. It's a real improvement over static rules, but it's still working from data that lived inside Freshsales the whole time.
That's the ceiling. The model has no way to factor in product usage data sitting in a different app, a support ticket history in Freshdesk unless that connection's been built, ad spend or channel-level ROI, or anything else your business tracks outside Freshsales' own tables. A lead can look perfect on paper and score high while already souring in a system Freshsales never checks.
What We Build on Top of Freshsales' Lead Scoring
A score that factors in what Freshsales can't see
Product usage data, support ticket history, or billing status pulled in from wherever it actually lives, folded into one composite score that updates on its own instead of staying blind to half the picture.
A score that triggers something instead of just sorting a list
A lead crossing a threshold assigns itself to the right rep, fires an alert, or kicks off a follow-up sequence automatically, rather than depending on someone remembering to sort the list and check it.
What does your scoring model not know about yet?
A system, a signal, anything outside Freshsales that should be changing how a lead gets ranked. Tell us what it is.
Scoring leads in Freshsales with half the real picture missing?
Tell us what your team actually knows about a lead that Freshsales never sees, usage data, support history, how they found you, and we'll build the logic that folds it into the score automatically. Freshsales is just today's example; the same build works wherever else your business is ranking something on incomplete data.
Let's talk