Diwo
DecideRetailFinancial Services

Churn Prevention & Customer Retention

Monday morning.

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Ranked in dollars
·
What-if validation
·
Push to ops
01The Problem

Today’s workflow is the bottleneck.

Monday morning. Your retention lead exports a churn-risk CSV, drops it in a spreadsheet, emails marketing for a list pull, and waits. By Wednesday the offer is ready. By Friday the at-risk cohort has already defected, renewed elsewhere, or gone quiet. You had the signal on Monday — it just wasn't useful by the time it became action.
The status quo· typical decision cycle
signal decays
  1. Signal captured
    Models score. Data is fresh.
    Day 1
  2. Dashboard built
    Analyst pulls CSVs, joins sources
    Day 2–3
  3. Review meeting
    Stakeholders ask for context, re-pull
    Day 4
  4. Window has closed
    Signal stale, action wasted
    Day 5+
By the time the action is ready, the window has closed.
5 days between signal and action. The data science team did their job. The operator is still waiting.
02The Approach

How Decide handles it.

Decide doesn't hand your team another churn score. It reads every model your data science org already produces — churn probability, lifetime value, propensity to respond — joins them to the business context nobody else sees (this segment's budget cap, that tier's renewal terms, last quarter's campaign fatigue), and hands each retention lead a *quantified, one-click recommendation*. Adjust the audience size or offer depth in the panel and the projected retained revenue updates in real time. The operator is making a decision on Monday morning, not ordering a report.
live · decide.diwo.ai
Opportunity· Opp #4906
Which at-risk segment should receive an of
Ranked by dollar impact
$642K
+20.5% lift
Ranked · quantified · approved
Logged to audit
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03Decide

Decisions you can make.

Every case ships with a set of high-leverage prompts — the shortlist operators reach for every week. Here are the ones we see working for churn prevention & customer retention.
Anchor decision
01 · start here
Which at-risk segment should receive an offer this week — ranked by retained revenue at risk
02
How deep the offer should go given campaign budget and historical response lift
03
Which channel and message fits each cohort, pulled from the last four campaigns we measured
04
Whether to prioritize a few high-LTV individuals or a broader mid-risk cohort
05
When to trigger — *before* the renewal window closes, not three days after
06
Which cohorts to leave alone because the spend won't pay back
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