Value Packs / Telecom / Churn Prevention Intelligence / Brief 02

Churn Prevention Intelligence · Brief 02

High-value at-risk base · Chicago & Los Angeles

When the at-risk cohort is the profitable one

Churn scores (your model) + billing · by city × segment × tenure · runs on your own infrastructure

The one line you configure

How is the high-risk base moving this week and what is it worth — is risk concentrating in the cohorts we can least afford to lose, or the ones we can?

In a nutshell

It is the expensive kind. High-risk subscriber count across Chicago and Los Angeles rose 27% — and ARPU within that at-risk cohort rose 12% over the same period. Ordinarily those move in opposite directions. Together they mean the subscribers becoming risky are the ones we least want to lose: $4.1M of monthly revenue now sits in the high-risk band, up from $3.2M.

At a glance

High-risk count+27%Chicago + Los Angeles
ARPU in cohort+12%wrong direction
Revenue at risk$4.1Mfrom $3.2M
Avg tenure4.2 yrslong-tenure

WHAT MOVED · How the at-risk revenue built up · $3.2M → $4.1M

$0$1.02$2.05$3.08$4.1$3.24weeksago+0.4ChicagoBusiness+0.3LosAngelesPremium+0.2ChicagoPremium-0.1Recovered·Philadelphia+0.1ARPUdriftinside$4.1Today

Three cohorts built the $0.9M increase and one recovered unaided — which is the difference between a blanket budget request and a targeted one.

WHERE IT IS · The at-risk base by city × plan × tenure band

City × planTenureAt-risk subsTheir ARPURevenue at risk
Chicago · Postpaid Gold3–6 yrs8,400$190$1.6M
Los Angeles · 5G Ultra> 6 yrs4,900$224$1.1M
Chicago · Postpaid Gold1–3 yrs5,100$157$0.8M
Los Angeles · Postpaid Silver3–6 yrs4,100$98$0.4M
Philadelphia · mixed< 1 yr3,600$56$0.2M

Read three dimensions deep, the exposure is not where the subscriber count is: Philadelphia has 3,600 at-risk subscribers worth $0.2M, Los Angeles 5G Ultra has 4,900 worth $1.1M. Tenure is the discriminator — every expensive row is past three years.

WHY IT MOVED · Risk movement × ARPU × exposure, one plot

-5401514535250Chicago · Gold · 3–6 yrsLos Angeles · 5G Ultra · >6 yrsChicago · Gold · 1–3 yrsLos Angeles · SilverPhiladelphia · < 1 yrChurn-score movement (%)ARPU of the cohort ($)

Bubble size is $ at risk, so the answer is the top-right corner: risk accelerating, ARPU high, exposure large. A count-ranked list would have put Philadelphia second — bottom-left, and the cheapest base in the region.

Why the weekly view matters

Daily score noise hides this. Rolled weekly, the divergence between a rising risk count and rising ARPU inside it is unmistakable — and it changes the retention budget question from how many to which.

So what

Retention budget should follow revenue, not headcount. The same spend aimed at the Chicago and Los Angeles high-ARPU, long-tenure cohort defends roughly $4.1M a month; spread evenly across the risk base it defends a fraction of that. Give retention the cohort ranked by revenue-at-risk rather than by score, and set the offer ceiling against each subscriber's own ARPU.

The points that matter

Value and risk are rising together

A 27% larger high-risk base whose ARPU is also up 12% — the opposite of normal churn behaviour.

+12%ARPU in cohort

Two cells hold two-thirds

Chicago Business and Los Angeles Premium account for $2.7M of the $4.1M exposed.

$2.7Mof $4.1M

Long-tenure, not new joiners

Average tenure of 4.2 years means these are established relationships, which are both costlier to lose and cheaper to save.

4.2 yrsavg tenure

Questions it already answers

What is the offer ceiling that still pays back?

Sizes each cohort's revenue-at-risk against its own ARPU, so the retention offer has a defensible upper bound per subscriber.

What can this not tell us?

Not which offer they will accept — that needs a test. It names the cohort worth testing on and the budget it justifies.