jevreduce

About jevreduce

Built to run
our own company.

As founders, we built these tools while running another platform. They helped us prioritize sales and spot customers at risk of leaving.

Know who needs a follow-up.

We used jevreduce to turn support conversations and account records into weekly churn-risk reports. They helped us focus on customers who needed attention and understand the concerns behind each flag.

Support conversations
Account context
jevreduceReview each accountLook for churn signals
Weekly risk report
  • Accounts to review
  • Reason for each flag
  • Source records
How we use the result

We use the report to decide which accounts to investigate, read the supporting records, and plan our follow-up.

Explore jevreduce

Decide where to focus next.

We used Tuned Predictions to learn from past sales outcomes and estimate which current deals would close. Those predictions helped us prioritize our pipeline and decide where to spend our time.

Past deals+ known outcomes
Tuned PredictionsTrain + evaluate
Current pipelineDeals still in progress
Predict deal outcomesUsing our trained model
Deal predictions
  • Current opportunities
  • Likelihood of closing
  • Priorities for review
How we use the result

We use the predictions alongside what we know about each opportunity to prioritize follow-up. Our team makes the decisions.

Explore Tuned Predictions

Why we’re opening it up

Once these tools helped us, we wanted to use them for more work across the company. We built the technology to handle more data and different questions without starting from scratch each time.

Now we’re making it available so other teams can put it to work in their own businesses.