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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.

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See how it works

What's a predictor?

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.

Examples

A next meeting booked, a second buyer joining, a pricing page visit

Measured by

Win rate when it happens vs. similar deals where it doesn't

Ranked by

Segment and stage, updated daily

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

Step 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.

Step 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.

Step 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

3.5x

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.”

Matt Edwards

CCO

Predictors compared with trackers and context graphs

Trackers flag keywords and a context graph 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 graphs

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

Updates

Retrained daily as deals close

When you edit the tracker

When records sync

Common questions

What does Predictors look for?

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.

How is the impact measured?

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.

Does it work differently by segment?

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.

Start with 14 days free, worth up to $1,250. Connect Salesforce and your call recorder, and you'll see your first results in one session.

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