Analytics Migration Checklist

Download key reports, dashboards, and raw data from your current analytics platform. This data will not be accessible after migration.

Map every tracked event, its trigger conditions, and associated properties. This becomes your migration specification.

Document how funnels, goals, and conversion events are configured. You need to replicate these exactly.

Save all custom audience and segment configurations. Rebuilding these from memory leads to inconsistencies.

Configure Google Analytics 4 with enhanced ecommerce events: view_item, add_to_cart, begin_checkout, purchase, and refund.

Set up server-side tagging or Conversions API for accurate tracking despite browser privacy restrictions and ad blockers.

If your store spans multiple domains (main site, checkout, blog), configure cross-domain tracking to maintain session continuity.

Recreate your custom dimensions (customer type, first purchase, review interaction) in the new analytics platform.

Set up tracking for review widget interactions, UGC video views, and social proof engagement through Eevy AI analytics.

Keep both old and new analytics running simultaneously. Compare data to identify discrepancies before cutting over.

Place test orders and verify every ecommerce event fires with correct product IDs, prices, and quantities.

Test that conversions attribute correctly across channels. Check UTM handling, referral sources, and direct traffic classification.

Compare real-time reports between old and new platforms. Significant discrepancies indicate tracking implementation issues.

Check analytics daily for the first month. Watch for unexpected drops in events, sessions, or conversions that indicate tracking gaps.

Recreate your essential reporting dashboards in the new platform. Prioritize the reports your team checks weekly.

Brief your team on any differences in metrics, definitions, or report locations. Prevent confusion from changed numbers.

Create documentation of your new tracking setup including event names, properties, custom dimensions, and data flows.