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.
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.
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 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.
A system, a signal, anything outside Freshsales that should be changing how a lead gets ranked. Tell us what it is.
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 →Yes. Every contact and lead gets a score automatically based on configurable demographic and behavioral criteria, no separate app or add-on required.
Standard scoring runs purely on the rules and weights you set yourself. The AI-assisted version, available on higher tiers, additionally learns from your account's own historical won and lost deals to adjust which signals actually predict a close.
Yes, both the criteria themselves and the weight each one carries are configurable from your own account settings, not fixed by Freshworks.
Yes, as long as the activity is something Freshsales tracks directly, an email open, a click, a tracked website visit, the score updates without anyone touching it manually.
Not on its own. That requires custom integration work to pull the outside data in first, which is exactly the kind of build we do on top of Freshsales' native scoring.