> For the complete documentation index, see [llms.txt](https://docs.abtasty.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.abtasty.com/recommendations-and-merchandising_deprecated/recos-and-merch-analytics/evolution-metrics.md).
# Evolution metrics
To evaluate the effectiveness of your recommendations, the following metrics are available in the **Report tab**:
## Number of Impressions
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
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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
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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)
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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
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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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