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

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Setup

1

Open Analytics

Open Analytics in Console.
2

Select a time range

Select a time range, for example last 7 days.
3

Set granularity

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 variable

Change one variable at a time, such as a context filter, model family, pipeline setting, or ranking rule.
2

Observe engagement deltas

Observe engagement deltas over a fixed window.
3

Keep the winners

Keep changes that improve KPI targets; revert those that regress.

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Example app journey: Improve homepage CTR

1

Capture a baseline

Baseline homepage context metrics are captured for 14 days.
2

Adjust context filters

Team adjusts homepage context filters to remove low-engagement categories.
3

Roll out to a sample

New settings roll out to 25% of traffic.
4

Compare against baseline

CTR and downstream purchase events are compared versus baseline.
5

Expand the winning configuration

Winning configuration is rolled out to 100% traffic.

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Next steps