Business OpsA serious build1 evidence point

Retention Analytics for Pre-Data-Team SaaS

Answer "who is about to churn and why" for companies with nobody to ask.

$50–$300 per customer, per month

Overview

What this is

Connect billing and product events, and get the handful of retention answers that matter: which cohorts stay, which behaviour in week one predicts survival, which accounts have gone quiet, and what the revenue impact is. Opinionated and narrow — it answers specific questions rather than being another dashboard builder.

The problem it solves

Early SaaS companies know retention is the number that decides their fate and cannot compute it properly. General analytics tools give you the primitives and expect you to know what to build; the founder does not have time to become an analyst, so retention gets a rough guess in a spreadsheet once a quarter.

Why now

Billing and event data are both available through stable APIs, and the buyer is highly motivated — retention is existential at that stage. The ceiling is genuinely high if the product is good, but so is the required rigour.

The evidence

What to watch out for

Your customers are pre-revenue-ish companies, which is a hard segment: small budgets and high churn of their own. And getting cohort maths subtly wrong destroys trust instantly, because the one thing they will check is whether your number matches theirs.

A sensible starting stack

Stripe API, An event pipeline, A columnar store, Any web stack

Keywords: retention analytics, churn, cohort analysis, saas metrics, product analytics, mrr