Work

Case study deck · 8 slides

Subscription

Illustrative scenario

Turning a churn score into a retention system

A mid-market subscription app

Audit & TeardownProcess Redesign & BuildAdoption & Enablement

Illustrative scenario based on our methodology, not a specific client engagement. Figures are representative targets, not claimed results.

01 / 08

The challenge

What was broken

The team already had a churn model. It produced a tidy risk score every week and put it on a dashboard. Retention did not move.

The reason was familiar: a score nobody acts on changes nothing. There was no owned save-play, no trigger, and no accountability for the outcome. The model was the easy 20%. The intervention was the missing 80%.

02 / 08

The approach

Scored on the Durable AI Index

We scored the use case on the Durable AI Index. Impact was high and feasibility was fine, but Stickiness was low, because there was no workflow for the score to live in and no one owned the response.

So we did not touch the model first. We designed the save-play: what happens the moment a user crosses the risk threshold, who owns it, and how we would know it worked.

03 / 08

What we built

The system, not just the model

  • Risk scoring wired directly into triggered retention journeys, not a dashboard
  • A pause-instead-of-cancel path and a targeted save offer by risk reason
  • A named owner on the success team accountable for the save rate
  • A feedback loop so outcomes retrain the next model
04 / 08

Results

Illustrative scenario

What good looks like

Dashboard → daily play

From an unused score to a workflow the team runs

25–35%

Illustrative target: at-risk accounts saved

1 owner

Clear accountability for the retention metric

Compounds

Retention gains flow across the whole LTV base

Representative of the outcome this approach targets for a subscription business. Not an actual client result.

05 / 08

How it stuck

Adoption is the deliverable

The save-play became part of the success team's daily cadence, not an initiative. Because the workflow was redesigned around the score and someone owned the number, usage survived past launch instead of decaying in month six.

06 / 08
The model was never the hard part. Getting the save-play to run every day, owned by a real person, is the work.

Ankur Garg, 10dem

07 / 08

Want this for your business?

Book a free 30-minute AI opportunity assessment. You will leave with at least one concrete idea.

08 / 08