See which free users are activating and which are churning silently from Day 1.

Your team maps the exact steps a new user must complete to reach genuine value — with a clear view of where users currently drop out and what's causing them to leave before they experience what your product does.

The specific in-product action that most reliably predicts whether a user will still be paying months from now is identified from your retention data — giving your entire product team a single, evidence-backed target to optimise toward.

The behaviours, timing patterns, and in-product signals that separate users who convert to paid from those who churn on the free tier are documented — so you can design interventions that actually move the number.

How your closest competitors structure their free experience, activation flow, and upgrade triggers is mapped and analysed — so you can identify gaps in their approach that your product can exploit.

The specific usage patterns that turn casual users into deeply retained customers are identified — giving product and growth a clear picture of the behaviours worth engineering toward.

A visual and written map of every step in your activation journey, annotated with current conversion rates, drop-off points, and the highest-leverage intervention opportunities.

A precise specification document that tells your engineers exactly what events to track and how to structure them — eliminating ambiguity and ensuring your analytics captures the data your PLG motion depends on.

A live dashboard that shows the full picture from new signup to paid conversion, updated continuously, so your team always knows where the funnel is healthy and where it needs attention.

Your current activation rate is established from real data and documented as the baseline — so every future optimisation effort has a credible starting point to measure improvement against.

A structured plan that defines what you'll measure, when you'll review results, and what decisions each review is meant to trigger — keeping the team aligned and accountable across the first three months.

A recurring reporting format that surfaces the metrics your team needs to make product and growth decisions each week, without requiring an analyst to build a custom report every time.

Your engineering team gets a written specification covering every instrumentation requirement, data structure, and implementation decision — so nothing is lost in translation between product strategy and code.

Step-by-step documentation for maintaining and extending the analytics dashboards as your product evolves, so the measurement infrastructure doesn't become stale or require external help to update.

A live session where all outputs are walked through with your team, questions are answered, and the full measurement plan is explained in context.

A written guide that explains what each metric means, how it's calculated, and what changes in the number typically indicate — so your team can read the data correctly without needing to ask an analyst every time.

A framework that clarifies which revenue is driven by self-serve versus direct sales. A month of active monitoring after launch. Two working sessions to review what the data is showing and make targeted adjustments. If you're raising capital, your PLG metrics and activation story are structured into a format that communicates traction clearly to investors.