Amplitude + Precision

The gap between what retained and churned users do in your product is the most direct signal of where your product delivers real value — and it's almost never what the product team assumes. If retained users consistently use a specific integration or collaboration feature in week one while churned users never reach it, that feature is your retention lever. Precision analyzes Amplitude cohort data to surface these behavioral signatures and recommends the onboarding changes, in-app prompts, and customer success plays that move more users toward the retained pattern.

7-day activation rate is the leading indicator of your month-one retention — and most SaaS companies don't know their number. If fewer than 35% of signups complete your core activation event within 7 days, the constraint is in your onboarding, not your product. Adding features won't fix it. Precision tracks activation rate over time and by acquisition cohort so you can see whether new users are activating better or worse as your product and messaging evolve. We'll help you model what a 10-point activation improvement is worth in annual recurring revenue given your current acquisition volume.

Most user abandonment is concentrated in 1–2 specific steps in your core workflow — not distributed evenly across the product. If 55% of users who start your setup flow abandon on step 3 of 5, that step is your biggest retention lever. It's not a product problem — it's a friction problem, and it usually has a specific cause: unclear instruction, required information the user doesn't have handy, or a step that feels irreversible. Precision maps your Amplitude funnel data to identify these drop-off concentrations and quantifies the retention impact of fixing them.

90-day retention by acquisition cohort tells you which version of your messaging, onboarding, and product attracted customers who actually got value — and which attracted customers who signed up and left. If cohorts from Q3 retain at 65% and cohorts from Q4 retain at 40%, something changed between those periods: a campaign, a product update, a pricing change. Precision surfaces these cohort-level retention differences and helps you trace them back to the upstream change so you can replicate the conditions that drove your best cohort.

Feature adoption gaps between free and paid users reveal your conversion leverage points. If paid users heavily use Feature X while free users never discover it, you have two options: move it behind the paywall to drive upgrades, or expose it in onboarding to demonstrate value earlier. Precision maps Amplitude adoption data across plan tiers and surfaces the features with the largest adoption gaps — giving you the data to make packaging and paywall decisions based on actual user behavior rather than intuition about what users value.