Most startups do not struggle with analytics because tools are unavailable. They struggle because analytics planning happens after the product is already live. The team launches the app, installs a tracking tool quickly, adds a few events, and promises to organize the data later. Months pass, dashboards stop making sense, and different teams begin quoting different numbers for the same metric. That situation is common because analytics was treated as a tool decision instead of an infrastructure decision. A better starting point is to design an app analytics strategy for startups before the first user signs up. When analytics planning happens early, the data becomes easier to trust, easier to interpret, and easier to use for product decisions. When it happens late, the company usually spends months fixing broken tracking, cleaning event naming, and rebuilding dashboards. That is why an app analytics strategy for startups should start alongside product design, not after launch.…