Eureka Analytics gives you a complete view of how search drives customer engagement and sales. You can track performance from the first query to the final purchase—across campaigns, products, and keywords. It helps you answer questions such as:
Are customers finding the products they want?
Which campaigns, products, or keywords generate the most revenue?
Where are you losing potential sales?
These metrics connect customer intent (search) to revenue. They help you:
Identify catalog gaps by tracking high no-result searches.
Measure how search drives clicks, add-to-carts, and purchases.
Compare performance across channels, platforms, and locales to prioritize fixes and content updates.
In short, clear, accurate metrics give you the confidence to optimize search, product data, and campaigns—and ultimately increase conversions.
To reach your Eureka Analytics dashboard, navigate to Reports > Eureka Analytics, or go to the Analytics tab on Eureka’s homepage.
Filter and Interpret Metrics
You can filter your analytics based on different options:
Attribution Window: Choose the time window used to attribute cart or purchase actions back to a campaign/click.
Date Range: limits which days are shown (applies to engagement funnel & search insights).
Catalog Locales: multi-select locales to see metrics only for those activated locales.
Integration Types: separate Web vs. API sources (multi-selectable).
Platforms and Operating Systems: IOS, Android, Mobile Web, Desktop Web, Other (multi-selectable).
How Eureka Defines a Search
Eureka uses specific rules to decide when a search is counted:
Not every keystroke is a search.
Eureka waits 10 seconds of no typing after the last keystroke before counting one search for the latest query.
Facets, sort, or paging don’t trigger a new search.
As long as the query itself doesn’t change (within the 10-second window), these actions are considered part of the same search.
Certain actions end a search immediately.
If the user clicks a product or clears the entire query, Eureka treats that interaction as the end of the current search and starts a new one right away (no 10-second wait).
Attribution Window
An attribution window is the time period during which revenue from a purchase can be credited to a campaign.
Common attribution windows are Same Session, 1 Day, 7 Days, 14 Days, 30 Days, 90 Days.
Same Session (Eureka’s logic):
A session starts when a user lands and ends after 30 minutes of inactivity.
One viewable impression is sent per session.
Within a session, a user may complete multiple clicks, add-to-carts, or purchases from the same campaign.
Comparison with Google Analytics (GA):
GA also defines a session as ending after 30 minutes of inactivity.
However, GA’s midnight reset and campaign-change rules do not apply in Eureka’s session logic.
Overall Engagement Funnel Metrics
Eureka enables you to visualize the following overall funnel metrics in metric cards and as daily, weekly, or monthly basis trend in a line chart.
Searches with Results: Number of searches that returned at least one product result. Eureka counts a search per the 10s rule or immediately if the user clicks/deletes.
Total Searches: All search sessions (including searches that returned no results).
Total Clicks: All product clicks across all search sessions (not unique).
Click-Through Rate (CTR): How often users click a product after a search. CTR is calculated by dividing the number of searches that resulted in at least one product click by the total number of searches that returned results.
Searches with no results are excluded from the calculation. This ensures CTR reflects engagement only when results are shown.
Add-to-Cart Rate: The percentage of add-to-cart actions that are attributable to search. Eureka counts add-to-carts only if the product was found through search, clicked, and then added to the cart within the chosen attribution window. Multiple quantities are included in counts. The Add-to-Cart Rate is calculated by dividing the total number of add-to-carts attributed to search by the total number of searches that returned results.
Conversion Rate: The purchase rate attributable to search. Eureka counts a conversion only when a product is found through search, clicked, and then purchased within the attribution window. Conversions are now counted based on quantities sold, not just unique products. Previously, multiple purchases of the same product within a single order were counted as one conversion. Now, each quantity purchased is counted individually.
This change may slightly increase your reported conversion metrics, especially if your products are often sold in larger quantities.
For example, if a cart includes three products—1 unit of product A, 3 units of product B, and 2 units of product C—the total number of conversions is 6.
Conversion Rate equals the total number of conversions from search divided by the total number of searches that returned results.
Variant Product Metric Collection (Important Edge Case)
Scenario
When a user clicks on a specific product variant (e.g., Product A in size M), then switches to another variant of the same product (e.g., Product A in size L) and completes the purchase.
Eureka’s Logic
Eureka checks the product group code of the clicked product and the purchased product.
If both share the same group code (meaning they are variants of the same product):
The add-to-cart and purchase are attributed to the originally clicked variant.
This ensures metrics are tracked at the product-group level, not at the individual variant level.
Searches with No Results Rate: The percentage of searches that return no results. The No Results Rate is calculated by dividing the number of searches that returned no results by the total number of searches. This metric helps identify:
Missing inventory (products customers expect but aren’t available).
Mismatched attributes or terms (e.g., users search with words that don’t align with your product data).
Revenue: The total order value attributed to search-driven purchases. Eureka includes order value only if the purchase happened through the search → click → purchase funnel and occurred within the selected attribution window. Revenue can be analyzed by day, week, or month to track performance over time.
Campaign, Product, and Keyword Metrics
Eureka goes beyond the overall engagement funnel by allowing you to break down performance by campaigns, product groups, and search keywords. These views help you answer questions such as:
Which campaigns generate the most revenue?
Which products or product groups attract clicks but don’t convert?
Which search terms leave customers without results—and revenue on the table?
Why these views matter
Campaign insights: Measure the true impact of each campaign and compare performance across variants.
Product insights: Track how individual SKUs and product groups perform from impressions through conversions.
Keyword insights: Discover what customers are searching for and where your catalog or search settings need improvement.
Together, these insights show you where to invest more and where to close gaps—so you can boost conversions with confidence.
Interpret Campaign and Variant Engagement Performance
In the Eureka analytics dashboard, scroll down to open the campaign performance table. Each row is a campaign; click it to expand the nested rows for its variants.
Metrics shown per campaign/variant are:
Campaign Status
Revenue
Searches with Results
Click-Through Rate
Add-to-Cart Rate
Conversion Rate
Searches with Clicks
Add-to-Carts
Purchases
Total Searches
Total Clicks
Searches with No Results
No Result Rate
Integration Type
Platform
Use this view to identify top-performing variants and spot underperforming campaigns where CTR or conversion is below average.
Interpret the Product Engagement Insights
In the Eureka analytics dashboard, scroll down to see the Product engagement tables (with tabs for Products and Product Groups). You can view up to the top 10,000 engaged products, sorted by revenue (descending).
Products (per SKU)
Metrics are calculated using the same search → click → purchase funnel rules explained earlier, but broken down at the individual product level:
Product Image
Product Name
Product ID
Revenue: Order value from purchases via the search → click → purchase funnel
Impressions: Number of times the product appeared in search sessions
Clicks: Total clicks on the product
Click-Through Rate (CTR): Product clicks / product impressions
Add-to-Carts: Total add-to-cart actions for the product
Add-to-Cart Rate: Product add-to-carts / product impressions
Conversions: Total purchases of the product
Conversion Rate: Product conversions / product impressions
Product Group Metrics (by Group Code)
Metrics are calculated using the same search → click → purchase funnel rules, but aggregated at the product-group level (e.g., sizes or colors of the same item):
Product Image
Product Name
Group Code: Identifier for the product group
Revenue: Order value from purchases via the search → click → purchase funnel
Impressions: Sum of all impressions across group variants
Clicks: Total clicks across group variants
Click-Through Rate (CTR): Group clicks / group impressions
Add-to-Carts: Total add-to-cart actions across group variants
Add-to-Cart Rate: Group add-to-carts / group impressions
Conversions: Total purchases across group variants
Conversion Rate → Group conversions ÷ group impressions
Variant drill-down: Click the info button on a product group row, and it opens a modal with each variant’s metrics (the same set as the Products table). This helps you compare, for example, how different sizes or colors convert.
Interpret the Keyword Search Insights
In the Eureka analytics dashboard, scroll down to view the Keyword insights tab. You can find:
Top 500 searched keywords with results.
Top 500 no-result keywords.
Why No-Result Keywords matter
No-result keywords highlight opportunities to optimize your catalog or search settings:
Missing products: If a keyword is searched often but you don’t carry the product, add it to your catalog to capture demand.
Synonyms: If customers use different words than your catalog attributes (e.g., hoodie vs. sweatshirt), add one-way or group synonyms to map them.
Non-searchable attributes: If a keyword exists in a product attribute but that attribute isn’t searchable, update your searchable attributes so relevant products are returned.
Informational queries: If the keyword is informational (e.g., "return policy"), add a URL redirect to direct users to the relevant page.
Example: If many users search for “hoodie” but your catalog uses “sweatshirt”, add a synonym so products are shown.
Export your results
The Export button lets you export all analytics data into a spreadsheet. The export reflects all filters currently applied (date range, attribution window, locales, integrations, platforms).
To access your results, click the Export button in the dashboard; a new tab will open, allowing you to download the file.
Best Practices
Align attribution windows with buyer behavior
Fast-fashion: Same Session or 1 Day
Considered purchases: 7–30 Days
Monitor CTR trends
Low CTR = search results aren’t engaging
Improve product titles, thumbnails, or relevance
Use the no-results report
Prioritize catalog enrichment by adding missing products or mapping synonyms.
Check Add-to-Cart and Conversion Rates
Strong CTR but weak conversions? → Optimize product detail pages, pricing, or trust signals
Compare across platforms and locales
Spot UX gaps, catalog inconsistencies, or regional demand differences
Identify low-CTR products
High impressions but low clicks? → Improve visuals, titles, or positioning
Spot high-cart, low-conversion products
May indicate pricing, shipping, or availability issues
Analyze product group performance
Variants (e.g., color, size) may behave differently → promote strong ones, fix or phase out weak ones.
Act on no-result keywords
Add products, synonyms, or redirects → the clearest opportunities for growth.
Watch high-volume, low-conversion terms
Customers find these products but don’t buy → optimize pricing, content, or UX.
Keep enriching searchable attributes
Ensure customer language maps to your catalog’s product data
Troubleshooting (Common Issues + Fixes)
Conversions missing
Check the attribution window → Purchases outside the selected window are not attributed.
Verify product group codes for variants → Ensure variant purchases are matched back correctly.
CTR seems low
Review “Searches with No Results” → Low CTR is often caused by missing attributes or low relevance.
Check catalog coverage → Products or synonyms may need to be added.
The exported spreadsheet shows fewer rows
Confirm active filters → Exports respect date range, locales, and integration filters.
Re-run export with broader filters if you need a complete dataset.
Changes in Search and Conversion Calculation Logic
Two minor updates were made to Eureka Analytics on August, 27, 2025.
Search counting rule update
Previously, if a user typed a query, deleted it entirely, and then entered a new query within 10 seconds, the new query was not counted as a separate search (because the 10-second window had not yet elapsed).
Now, whenever a query is completely deleted, the next keyword entered is always counted as a new search.
This change may slightly increase your total search counts.
Conversion counting rule update
Previously, multiple purchases of the same product within a single order were counted as one conversion.
Now, conversions are counted based on quantities sold.
This change may slightly increase your conversion metrics, especially if products are often purchased in multiple quantities per order.