# Evolution metrics

To evaluate the effectiveness of your recommendations, the following metrics are available in the **Report tab**:

## Number of Impressions <a href="#h_01jdmhj2hj79jbpsqvzw02vpe0" id="h_01jdmhj2hj79jbpsqvzw02vpe0"></a>

The Number of Impressions represents the total times a recommendation has been displayed to users.

**How it works:** Every time a recommendation appears—whether on a product page, the homepage, or within an email—it is counted as an impression.\
**Why it matters:** This metric measures the overall exposure of your recommendations and helps you assess their visibility across your website or campaigns.

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Number of Clicks <a href="#h_01jdmhjjsknvwf2tp5ye21gq3x" id="h_01jdmhjjsknvwf2tp5ye21gq3x"></a>
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The Number of Clicks captures the total instances where users have clicked on a recommendation.

**Why it matters:** It shows the level of engagement generated by your recommendations and indicates whether they successfully attract user interest.

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Number of Closures <a href="#h_01jdmhjxy4kv1cgtsarqf9xvny" id="h_01jdmhjxy4kv1cgtsarqf9xvny"></a>
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The Number of Closures refers to the number of times users explicitly close or dismiss a recommendation.

**Examples:** This could include actions like clicking a "close" button or selecting an option to disable the recommendation.\
**Why it matters:** This metric identifies instances where recommendations may not resonate with users, providing insights into areas for improvement.

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CTR (Click-Through Rate) <a href="#h_01jdmhkbtc8v4yxdhkp4v70f82" id="h_01jdmhkbtc8v4yxdhkp4v70f82"></a>
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The Click-Through Rate (CTR) is a key performance indicator that reflects how effectively recommendations encourage user interaction.

**How it’s calculated:** CTR (%) = (Number of Clicks / Number of Impressions) × 100\
**Why it matters:** A higher CTR indicates that your recommendations are relevant and engaging to your audience.

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Closure Rate <a href="#h_01jdmhp5hsw15192m11ma3cwfz" id="h_01jdmhp5hsw15192m11ma3cwfz"></a>
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The Closure Rate measures the frequency at which recommendations are explicitly dismissed or rejected by users.

**How it’s calculated:** Closure Rate (%) = (Number of Closures/Number of Impressions)×100\
**Why it matters:** This metric highlights how often recommendations fail to capture user interest, helping you identify potential issues with content, targeting, or placement.\
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