See how much each part of your sales process adds to your win rate
Predictors looks at what happened on every deal you won and lost, and measures how much each behavior changed the result. Your own model, scored separately for each segment and stage.
A predictor is anything that happens on a deal that shows up far more often in the deals you win than the ones you lose.
ExamplesA next meeting booked, a second buyer joining, a pricing page visit
Measured byWin rate when it happens vs. similar deals where it doesn't
Ranked bySegment and stage, updated daily
ACTIVITY DASHBOARD● NO OUTCOMES
Calls logged214 ↑
Emails sent1,032 ↑
Meetings booked48 ↑
did any of it close a deal? unknown
ONE BEHAVIOR● YOUR DEALS
Next step booked on call+56pt
won 74% of the time when it happened, 18% when it didn't · 348 similar deals
WHAT REPS SEE
Book the next meeting before the call ends
Know what to do more of, and by how much.
Most of what reps do barely moves a deal. Predictors finds the few things that do, puts a number on each, and turns the top one into a next step.
How it works
1STEP 1 OF 3
→
Link every activity to how the deal ended
Calls, emails and CRM updates are matched to the deal they belonged to, with a record of when each one happened.
2STEP 2 OF 3
→
Compare similar deals
For each behavior, Fluint compares deals where it happened to similar deals where it didn't, so the difference in win rate comes from that behavior and not from deal size or timing.
3STEP 3 OF 3
Update every day
Each night, newly closed deals go back into the model and the rankings update for every segment and stage.
What customers found in their own deals
3.5×
CLOSE RATE WHEN THE NEXT STEP WAS BOOKED
+56pt
WIN-RATE LIFT, TOP BEHAVIOR
92%
OF NEXT STEPS ACTED ON
"Our reps actually trust the output because it references real deals, real patterns. The difference was obvious in week one."
VP REVENUE OPERATIONS · PUBLIC · $400M ARR
Predictors compared with trackers and context layers
Trackers flag keywords and a context layer maps how your data connects. Predictors runs the statistics on your won and lost deals to measure what changed the outcome.
What matters
PREDICTORS
Call trackers
Context layers
What it does
Measures what changes your win rate
Flags keywords and topics on calls
Maps how records connect
Method
Statistical models on won vs. lost deals
Keyword matching
Relationships between records
Tells you
How much each behavior is worth, in win-rate points
That a topic came up
Who and what touched a deal
Controls for
Deal size, segment, stage and timing
Nothing
Nothing
Updates
Retrained daily as deals close
When you edit the tracker
When records sync
Common questions
Anything that happens on a deal: whether the next meeting got booked before the call ended, how many people on the buyer side were involved, whether pain came up early, when security review started. You can add your own signals too.
Fluint compares the win rate of deals where a behavior happened with similar deals where it didn't. It uses the deal as it looked at that moment, so later information doesn't skew the result.
Yes. Each segment and stage gets its own ranking, because what wins enterprise deals is rarely what wins SMB deals.
Find out what's raising your win rate this week.
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