Is Your Oldest Customer Cohort Dragging You Down? Diagnose Cohort Health
What percentage of your revenue this month came from customers who signed up more than 12 months ago — and what's your plan when that cohort finishes leaving?
Why this question earns its place.
Subscription businesses live and die by retention. An aging cohort - early customers who stay but stop growing - masks churn in topline numbers while dragging down expansion revenue. This diagnostic looks at cohort-level health and surfaces the real reasons customers cancel, not the reasons they put on the exit survey.
Inside your deliverable.
A direct answer, in the first paragraph.
No buildup, no throat-clearing. The verdict is on page one, stated the way an experienced operator would state it — number-grounded and specific to the business.
The math, worked out in public.
Back-of-envelope calculations with the assumptions labelled so you can stress-test them. Revenue, margin, and risk magnitudes stated in dollar terms — not hand-wavy percentages.
Evidence cited from the public web.
Claims are grounded in the business's homepage, product pages, reviews, pricing, social proof, and anything else publicly visible. No hallucinated internals.
A "take to your team this week" close.
Every report ends with one concrete experiment or conversation you can run in the next 7 days — the kind of low-cost test that converts opinion into data.
What an answer looks like.
Excerpt · gigdataserv.com
"You're leaving 15-25% of revenue on the table by pricing like a commodity seller when you're actually selling insurance against downtime…
… multiply this across 55,000 items sold over 23 years … $550,000 in cumulative revenue left on the table."
- 01 · Specific, not generic.
- 02 · Number-grounded in dollar terms.
- 03 · Cites public evidence — no fabricated internals.
- 04 · Ends with a 7-day experiment.
- 05 · $5. One report. No subscription.