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Interpreting Your Eevy AI Dashboard

12 min read

Your Eevy AI dashboard is the command center for understanding how your review sections are performing and how the genetic algorithm is optimizing them. But the numbers only help if you know how to read them.

This guide walks through every key metric, chart, and data point in the dashboard, explaining what each means and what actions to take based on what you see.

The Overview Panel

The overview panel at the top of your dashboard shows four key metrics: RPV (Revenue Per Visitor) — the primary optimization metric, calculated as total revenue from sessions that saw an Eevy AI section divided by total unique visitors; Impressions — how many times your sections were viewed; Sessions — unique visitor sessions that interacted with your sections; Improvement — percentage RPV lift since the genetic algorithm started. All metrics can be filtered by date range, section type, and product collection.

Generation Timeline

The generation timeline chart shows RPV performance across generations. Each data point represents one generation's average RPV. A healthy optimization shows an upward trend with occasional dips (from mutations). If RPV is flat for 5+ generations, consider adding new section types or review content. The timeline also shows generation duration — shorter generations mean more traffic and faster optimization. You can hover over any generation to see the top-performing variant and its configuration details.

Section Performance Breakdown

Below the overview, each active section has its own performance card showing: section type and page placement, current variant being served to the majority of traffic, RPV for this specific section, impression and interaction counts, and the number of variants being tested. Click any section card to dive into its variant details, where you can see how each layout variation is performing relative to the others.

Understanding Variant Comparisons

In the variant detail view, you will see a table of all active variants for a section. Each row shows the variant's layout configuration, its RPV, session count, and a confidence indicator. The confidence indicator tells you how statistically reliable the RPV number is. A variant with 50 sessions has low confidence, while one with 5,000 sessions has high confidence. The genetic algorithm accounts for confidence when selecting variants for the next generation — it does not just pick the highest RPV if the data is unreliable.

Common Dashboard Patterns and What They Mean

Steady upward RPV trend: The algorithm is working well, keep it running. RPV plateaus after 10+ generations: The algorithm has likely found a near-optimal layout for your current conditions. Consider adding new section types. RPV drops suddenly: Check for external factors — did traffic source change, or did you modify your product catalog? High impressions but low RPV: Your sections are being seen but not influencing purchases. Try adding sections higher on the page or using different section types like highlighted reviews or review summaries.

Wrapping Up

Your dashboard tells a story about how your social proof is performing. Check it weekly rather than daily — the genetic algorithm works on generation timescales, not hourly ones. Focus on the RPV trend over time, and use the section-level data to decide where to add or adjust sections. For optimization strategy, read our Maximizing RPV guide.

Ready to optimize your social proof?

Install Eevy AI, import your reviews, and let the genetic algorithm find the layouts that convert best for your store.

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