What the customer receives

RenewalIQ example report

The paid deliverable is a structured document the customer keeps, not a chat transcript.

A complete sample document, written the way RenewalIQ writes one. The customer, the numbers and the sources are illustrative.

RenewalIQ Churn pattern review

Churn Pattern Review · USD 59

Your churn is 4.1 percent a month and almost all of it happens in month two

Eighteen months of subscriptions, broken down by when people leave rather than how many.

Prepared for
Pergola · meal kit subscription, 6,400 active
Reference
RQ-5518-CPR
Issued
17 October 2026
Settlement
$KEEP · USDC on Base

You report churn as one number and it is hiding the shape. Thirty eight percent of every cohort is gone by the end of month two, and the survivors after month three churn at under one percent a month. You do not have a retention problem. You have an onboarding problem and a very good product.

Two cliffs, then nothing

Cancellations concentrate at the end of the first billing cycle and again after the fourth delivery. Beyond month three the curve is almost flat, which means the customers who get past week twelve stay for years.

4.1% Blended monthly churn
38% Gone by end of month two
0.9% Monthly churn after month three
USD 41 Monthly value of each retained subscriber
01

Shape

When people actually leave

Share of a cohort still subscribed, by month · percent retained
100 0 M0M3M6M9M12 All subscribers, M0: 100 All subscribers, M1: 79 All subscribers, M2: 62 All subscribers, M3: 55 All subscribers, M4: 52 All subscribers, M5: 51 All subscribers, M6: 50 All subscribers, M7: 49 All subscribers, M8: 49 All subscribers, M9: 48 All subscribers, M10: 48 All subscribers, M11: 47 All subscribers, M12: 47 47%

The curve falls 45 points in three months and 8 points in the following nine. A blended monthly figure of 4.1 percent describes neither half of that and is the reason this has looked like a slow leak rather than a cliff.

Cancellations by month of tenure, share of all cancellations
Month 1 21% After the first bill
Month 2 38% The cliff
Month 3 14%
Month 4 9% Smaller second step
Months 5 to 12 13% Spread across eight months
Beyond a year 5%

Seventy three percent of everyone who ever cancels does so in the first three months. Any retention work aimed at month eight is aimed at 13 percent of the problem.

02

Cohorts

Has it changed over time?

Each row is everyone who signed up in that month, tracked forward. Reading down a column shows whether newer cohorts behave differently from older ones.

Retention by signup cohort
M1M2M3M4M5M6
Apr 2025 410 82%64%57%54%53%52%
May 2025 455 80%63%56%53%52%51%
Jun 2025 502 81%62%55%52%51%50%
Jul 2025 610 76%57%50%47%46%45%
Aug 2025 780 71%51%44%41%40%39%
Sep 2025 845 70%50%43%40%39%38%
Oct 2025 690 77%59%52%49%48%47%
Nov 2025 640 79%61%54%51%50%
Dec 2025 720 78%60%53%50%
Jan 2026 880 80%62%55%
Lower Higher retention

July to September 2025 are visibly worse than every cohort either side, by around 10 points at month two. Those three months are also when you ran the half price introductory offer, and section 03 is about what that means.

03

Cause

The discount cohorts

Full price cohortsHalf price cohortsDifference
Subscribers acquired 3,307 2,235
Retained at month 2 61% 52% 9 points
Retained at month 6 49% 39% 10 points
Average deliveries before cancelling 5.8 3.1 2.7 fewer
Cancelled citing price 18% 41% 23 points
Twelve month value per subscriber USD 312 USD 168 USD 144 lower

The half price offer acquired 2,235 subscribers at a twelve month value USD 144 lower each. That is roughly USD 322,000 of value difference against an acquisition cost saving that was much smaller. It worked as an acquisition campaign and not as a subscriber campaign.

04

Reasons

What people say on the way out

Stated cancellation reason, 1,840 cancellations with a reason given
Too expensive 29% 41 percent among discount cohorts
Too much food, waste 22% Fixable in a setting
Not enough variety 16%
Delivery day did not suit 11% Fixable in a setting
Trying something else 9%
Life change, moving 7% Not addressable
Quality 4% Low, and worth saying out loud
Other 2%

Thirty three percent give a reason that is a setting rather than a verdict: too much food and the wrong delivery day. Both are changeable inside the product and neither is offered during cancellation.

  1. Test 1

    Offer a smaller box at cancellation, not a discount

    Twenty two percent say too much food. You currently offer 20 percent off, which answers a different objection and trains people to wait for a discount.

  2. Test 2

    Offer a delivery day change at cancellation

    Eleven percent. One click, no revenue given away.

  3. Test 3

    Intervene at delivery four, not at cancellation

    The month two cliff happens after the fourth box. Whatever you do, do it at box three.

  4. Do not

    Repeat the half price offer as it was

    Until you can run it as a clean test against a control, you cannot tell how much of the ten point gap it owns.

RenewalIQ retention analysis · confidential to the buyer · 17 October 2026 RenewalIQ · $KEEP
The order behind this document
Format

Structured document with tables, checklists and cited evidence.

Back to RenewalIQ →