Success metrics
This page provides an overview of the key performance metrics for your Adobe Commerce Optimizer store. The goal is for you to quickly understand the results of implementing Adobe Commerce Optimizer then help you and your team identify opportunities for growth, and highlight areas for optimization.
The metrics in the report are pulled from storefront event data. Learn more about the event data collected.
Understanding your metrics
The success metrics report delivers actionable insights into five key performance areas that directly impact your business outcomes. Each metric reveals patterns in customer behavior and store performance that help you uncover opportunities and address challenges. Leverage these insights to drive smarter decisions and to optimize your commerce experience.
Top Highlights summarizes key metrics from each performance area. Use this section to quickly identify your biggest opportunities for improvement.
The key performance indicators are:
- Revenue—Your primary financial metric showing total sales performance.
- Conversion—The percentage of visitors who complete purchases.
- Engagement—How actively users interact with your site.
- Acquisition—The effectiveness of your customer acquisition efforts.
- Bounce Rate—The percentage of visitors who leave after viewing only one page.
Generate a report
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From the left rail, select Success Metrics.
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Under Report Configuration specify the Date range, Catalog source, based on your locale setting, and Currency.
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Click Apply.
The Top Highlights, Revenue, Conversion, Engagement, Acquisition, and Bounce rate all update based on your report configuration.
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Click Export to save the report as a PDF.
Next steps and optimization strategies
Use your success metrics data to identify opportunities for improvement and implement targeted optimization strategies. The following sections provide specific, actionable guidance for each metric area.
Revenue optimization
For revenue, your goal is to increase total sales and average order value.
Strategies
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Implement AI-powered recommendations: Use the optimizer’s recommendation engine to surface relevant products that drive higher conversion rates. Deploy Customers who viewed this also viewed and Bought this, bought that recommendation types to increase cross-selling opportunities.
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Create merchandising rules: Boost high-margin products in search results using merchandising rules. Pin best-selling items to the top of search results for high-traffic queries.
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Optimize product discovery: Use intelligent facets to help customers find products more efficiently, leading to higher conversion rates and increased revenue.
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Leverage seasonal opportunities: Create time-based merchandising rules to promote seasonal or promotional items during peak shopping periods.
Conversion rate improvement
To improve your conversion rate, your goal is to convert more visitors into customers.
Strategies
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Optimize search relevance: Implement synonyms to ensure that customers find what they’re looking for, even with different search terms. Use dynamic faceting to provide relevant filtering options.
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Strategic recommendation placement: Deploy recommendation units on high-traffic pages like product detail pages and category pages. Use Most viewed and Most purchased recommendations to build trust and urgency.
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Improve product visibility: Use merchandising rules to ensure best-selling and high-converting products appear prominently in search results.
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A/B test recommendation types: Experiment with different recommendation types and placements to find what works best for your audience.
Engagement enhancement
To enhance engagement, your goal is to increase customer interaction and time on site.
Strategies
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Diversify recommendation types: Avoid showing the same recommendations repeatedly. Use a mix of Recommended for you, Trending, and Recently viewed to keep content fresh and engaging.
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Implement intelligent search: Use AI-driven dynamic faceting and result re-ranking to adapt search results in real-time based on shopper behavior.
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Create personalized experiences: Deploy “Recommended for you” units on the homepage and throughout the customer journey to provide personalized product suggestions.
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Optimize search experience: Use synonyms to improve search relevance and ensure customers find what they’re looking for quickly.
Acquisition growth
To acquire more growth, your goal is to attract more new customers and improve acquisition efficiency.
Strategies
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Leverage search performance data: Use the search performance report to identify trending products and popular search terms. Create merchandising rules to highlight these items.
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Optimize recommendation performance: Monitor recommendation performance metrics to identify which recommendation types drive the most traffic and conversions.
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Highlight new and promotional items: Use merchandising rules to boost new products or promotional items in search results to attract attention from new visitors.
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Track traffic sources: Use event data to understand which channels bring the most valuable traffic and optimize your marketing efforts accordingly.
Bounce rate reduction
To reduce the bounce rate, your goal is to keep visitors engaged and reduce single-page visits.
Strategies
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Improve search relevance: Use synonyms and intelligent faceting to ensure customers find relevant products quickly. Poor search results are a major cause of high bounce rates.
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Implement recommendation units: Deploy recommendation units on category and search results pages to provide additional product options and keep visitors engaged.
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Optimize product discovery: Use merchandising rules to ensure the most relevant and popular products appear first in search results.
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Create engaging homepage experiences: Use “Recommended for you” and “Trending” recommendation types on your homepage to immediately engage visitors with relevant content.
Troubleshooting and optimization
When metrics are declining
Revenue declining:
- Check if recommendation units are still active and performing well
- Review merchandising rules to ensure high-margin products are being promoted
- Analyze search performance to identify if popular products are still ranking well
Conversion rate dropping:
- Verify that search relevance is maintained (check synonyms and facets)
- Ensure recommendation units are displaying correctly
- Review merchandising rules for any conflicts or issues
High bounce rates:
- Check search result relevance and implement synonyms if needed
- Ensure recommendation units are loading properly
- Review product data quality and availability
Low engagement:
- Diversify recommendation types to prevent customer fatigue
- Implement more personalized recommendation strategies
- Optimize search experience with better facets and synonyms
Field descriptions
Report configuration
More like this
- Search Performance - Analyze search terms and optimize search relevance
- Recommendation Performance - Monitor and optimize recommendation effectiveness
- Recommendations Overview - Learn about AI-powered product recommendations
- Merchandising Rules - Boost, bury, pin, or hide products in search results
- Facets - Enhance search with intelligent filtering
- Synonyms - Improve search relevance and customer experience
- Events Overview - Understand the data that powers your metrics