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Use this guide to move from shipping recommendations to continuously improving them.

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Setup

  1. Open Analytics in Console.
  2. Select a time range (for example last 7 days).
  3. Set granularity appropriate to traffic volume.

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Common workflows

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Evaluate baseline performance

Track at least:
  • Recommendations Served
  • Click events
  • Purchase or conversion events
Start with all contexts, then narrow to one context at a time for actionability.

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Investigate anomalies

Use context and advanced filters (request_id, session_id, user_id) to debug sudden drops or spikes.

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Build an optimization loop

  1. Change one context variable (quantity, filter, or ranking influence).
  2. Observe engagement deltas over a fixed window.
  3. Keep changes that improve KPI targets; revert those that regress.

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Example app journey: Improve homepage CTR

  1. Baseline homepage context metrics are captured for 14 days.
  2. Team adjusts homepage context filters to remove low-engagement categories.
  3. New settings roll out to 25% of traffic.
  4. CTR and downstream purchase events are compared versus baseline.
  5. Winning configuration is rolled out to 100% traffic.

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Next steps