Product analytics
We build product analytics: we help understand how users go through your product's key scenarios — where they activate, where they get stuck, what retains them and what leads to churn. We design the event schema, set up tracking and basic funnels/retention (in Amplitude, Mixpanel, GA4 or another). Honestly upfront: this is measurement setup and basic behavior analysis, not strategy-conclusions for you and not product growth; quality depends on well-thought tagging.
Product analytics — overview
Product analytics is a project (with possible support): we define key product questions and metrics (activation, engagement, retention, key actions), design the event schema (tracking plan), help implement tracking (platform of your choice or we advise), build basic funnels, retention reports, analysis of key scenarios and deliver observations. This is a platform-agnostic service: the focus is on WHAT and why to measure, not just the tool. Honestly about data, this is key: the value of product analytics is a well-thought, consistent tracking plan; without it or with chaotic tagging the funnels and conclusions will be wrong (garbage in, garbage out). Honestly about the nature of conclusions: analytics shows WHAT happens and correlations (where users get stuck, what correlates with retention), but NOT a proven cause — why needs checking (interviews, experiments). Honestly about the essence: this is measurement setup and basic analysis, NOT product strategy, decisions and NOT product growth — what to change in the product and how to grow metrics is decided and done by you or your team; analytics gives a base but does not improve the product itself. Honestly about requirements: access to the product/code for tagging and a sufficient user flow for meaningful conclusions are needed. Maintenance: when the product changes the schema needs upkeep. An important boundary: this is building product analytics, not turnkey setup of a specific platform divorced from questions (Amplitude/Mixpanel/Heap setup — adjacent services), not website web analytics (GA4/Metrica — different) and not product development. For a simple site with no product scenarios, product analytics is overkill — web analytics is enough. Picture this: instead of 'we don't understand where users get lost in the product and what retains them' you see key scenarios, funnels and retention by real data. The base price starts from 25,000 ₽ per project; it depends on product complexity and the number of scenarios.
Problems we solve
- You do not understand where users get stuck and what retains them.
- Events are tagged chaotically, you do not trust funnels and metrics.
- You measure 'everything' but do not answer product questions.
- You make product decisions without behavior data.
What's included in the Product analytics service
- Defining product questions and metrics (activation/retention/actions)
- Designing the event schema (tracking plan)
- Help with implementing tracking (platform of your choice)
- Basic funnels and retention reports
- Analysis of key user scenarios
- Observations and directions to check (hypotheses/experiments)
- Verification of tagging correctness
- Reviewing results with you
What you get
- You understand how users go through key scenarios
- Trustworthy product funnels and retention
- A consistent event schema that is trusted
- A base for product decisions (strategy and growth — separately)
How the work goes: steps
- We clarify product questions, scenarios, metrics; collect access
- We design the schema, help implement tracking, build funnels/retention
- We review scenarios and observations with you
Why PDV Expert
- Fixed price and timeline — no surprises on the invoice.
- Report and recommendations in plain language — clear without a technical background.
- In touch at every step and answering questions about the result.
FAQ
Will product analytics raise product metrics?
Not by itself. It shows behavior and gives a base for decisions, but what to change in the product and how to grow activation/retention is decided and done by you or your team. Analytics is a foundation, not growth itself.
Will you say why users leave?
We show WHAT happens and correlations (where they get stuck, what is associated with retention), but not a proven cause — why needs checking with interviews and experiments. Correlation is not causation.
How is this different from Amplitude/Mixpanel setup?
Setting up a specific platform is about the tool. Product analytics is broader and platform-agnostic: first WHAT and why to measure (questions, metrics, tracking plan), and the tool follows. They often go together.
About the provider
The «Product analytics» service is provided by PDV Expert — a team specialising in «Conversion & analytics». We work under contract and deliver a written report with recommendations.