Analytics for SaaS Products
You shipped a new feature but have no idea if anyone uses it. Your trial-to-paid conversion is dropping and you cannot pinpoint why. Grain gives product teams the behavioral data to stop guessing.
See which features actually get used
You spent three months building a collaboration workflow. The launch blog post got traffic. But a week later, you have no idea whether anyone clicked past the onboarding tooltip. Usage reports in your database tell you the feature was "accessed" but not whether users completed the flow, came back, or gave up halfway.
Grain tracks every interaction inside your product and maps it to individual users and cohorts. You see adoption curves by plan tier, time-to-first-use after signup, and exactly where users drop out of multi-step features. The difference between "accessed" and "adopted" becomes measurable.
Spot churn signals before the cancellation email
Most SaaS teams learn about churn when it is already too late -- the customer has mentally checked out weeks ago. Login frequency dropped, key workflows were abandoned, and support tickets went unanswered. But none of those signals surfaced anywhere your team could act on them.
Grain correlates engagement patterns across sessions and flags accounts whose behavior diverges from retained users. You see the specific moment engagement shifts -- the feature they stopped using, the page they no longer visit -- so your CS team can intervene with context, not generic check-in emails.
Find the leak in your trial-to-paid funnel
Your trial-to-paid conversion dropped from 8% to 5% last quarter. The product hasn't changed. Pricing hasn't changed. You've added more onboarding steps, which might be helping or might be adding friction -- it is impossible to tell from aggregate metrics alone.
Grain's funnel analysis breaks down conversion by cohort, signup source, and behavioral segment. You see that users from organic search convert at 12% while paid ad users churn at the second onboarding step. You see that users who reach the "invite teammate" screen within 48 hours convert at 3x the rate. The funnel stops being a single number and starts being a map.
Understand the real path to activation
You designed a linear onboarding flow: sign up, create project, invite team, connect integration. But users do not follow it. They skip steps, explore settings, revisit the docs, and circle back. Your predefined funnel misses all of this because it only measures the happy path.
Grain reconstructs actual user journeys as timeline graphs, revealing the real paths users take between signup and activation. You discover that your most successful users skip the tutorial entirely and go straight to the API docs. Or that users who activate on mobile convert at half the rate. These patterns are invisible in traditional funnels.
Your product generates thousands of signals every day. Start reading them.
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