Answer
Post-launch analytics track user behavior, engagement, and business outcomes to validate that the replatforming achieved its goals and identify optimization opportunities. Effective analytics combine quantitative metrics (traffic, conversions, retention) with qualitative insights (user feedback, behavior patterns).
Core Metrics Website traffic metrics include total visitors, traffic sources (organic, paid, direct, referral), and geographic distribution. User engagement metrics track average session duration, pages per session, bounce rate, and feature adoption rates. Conversion metrics measure the percentage of visitors completing desired actions (purchases, sign-ups, form submissions). Retention metrics show what percentage of users return after their first visit, indicating product stickiness. Revenue metrics track total sales, average order value, and customer lifetime value to connect performance improvements to business impact.
Analysis and Iteration Custom dashboards should visualize key metrics by segment (device type, traffic source, user cohort) to identify which audiences are most engaged. Funnel analysis reveals where users abandon critical flows, highlighting friction points. Post-launch analysis should focus on outcomes like retention and conversion rather than just activity volume, as high traffic can mask deeper engagement issues. Teams should establish baseline metrics before launch and review performance weekly initially, then monthly, to spot trends and measure the impact of iterative improvements.