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Analytics & Reporting

Post-purchase analytics

Tracked events, dashboard metrics, and how to read post-purchase performance.

Tracked events

  • pp_offer_shown โ€” Offer was rendered to the buyer.
  • pp_offer_declined โ€” Buyer declined or the timer expired.
  • pp_offer_accepted โ€” Buyer accepted and the item was added to the order (includes revenue and items).
  • pp_offer_accept_failed โ€” The buyer tried to accept but adding the item to the order failed. It is recorded separately and doesn't count as an acceptance.

Dashboard metrics

Shown on the Post-Purchase tab of Analytics (left menu):

  • Revenue and upsold orders attributed to post-purchase
  • Conversion rate (upsold orders รท impressions)
  • Per-funnel breakdown โ€” the Top performing funnels table shows which funnels are pulling weight
  • Daily charts for trend analysis โ€” every metric card has its own

Data freshness

There is no cache on this tab: each time you open it or change a filter, the numbers are read fresh. Impressions and accepted offers are recorded as they happen.

Performance impact

All analytics writes are fire-and-forget and never block the buyer. The post-purchase flow always feels fast, even when analytics infrastructure is slow.

Reading the funnel

  • Low impressions โ€” Triggers too restrictive, or the matching funnel's offers can't be shown (for example, the product is unavailable).
  • Low conversion โ€” Offer pricing/discount/wording isn't compelling.
  • Downsell converts much better than its upsell โ€” Compare the offer cards on the funnel's Upsells tab: the original upsell is probably wrong, and the downsell is the real winner.

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