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SEARCHES RESULTS

Overview​

Searches Results provides detailed analytics for individual products/items that appear in search results. Track which results get clicked, their impressions, revenue generated, click-through rate, and conversions. Use this data to optimize product visibility and ranking.

This complements the Searches page which focuses on query-level metrics.

Filter Options​

For detailed information about analytics tags and filtering functionality, see Overview - Filter Options.

Filter
Purpose
Available Options
Analytics Tags
Placeholder: Select tags to filter metrics below
Filter by search source or type
• back_to_school
• And other custom tags based on your configuration
Additional Tags
Placeholder: Select tags to filter metrics below
Secondary filtering for more precise analysis
• Custom campaign tags
• User segment filters
• Additional analytics tags

Results Table​

Table Header​

Searches Results Table

Title: Results

Table Columns​

Column
Description
Format
Use Cases
RESULT
Product or item name that appeared in search results
Examples: AYESHA193 - Jewellery-Women
Product ID/Name - Category
Sortable: Click header to sort alphabetically
• Identify which products appear in search
• Track product visibility
• Find specific items
IMPRESSIONS
Number of times this result was displayed in search results
Meaning: How many times users saw this item
Numeric count
Sortable: Click header to sort by impressions
• Measure product visibility
• Compare exposure across products
• Identify highly visible items
CLICKS
Number of times users clicked on this result
Numeric count
Sortable: Click header to sort by clicks
• Measure user interest
• Identify attractive products
• Track engagement
REVENUE
Revenue generated from this result
Note: Requires revenue tracking implementation
Numeric (currency value)
Sortable: Click header to sort by revenue
• Measure business impact
• Identify high-value products
• Calculate ROI
Click-Through Rate
Percentage of impressions that resulted in clicks
Calculation: (Clicks ÷ Impressions) × 100
Numeric or percentage
Sortable: Click header to sort
• Measure result appeal
• Identify products with poor presentation
• Optimize product data
CONVERSIONS
Number of conversions attributed to this result
Meaning: Users who clicked and completed desired action
Numeric count
Sortable: Click header to sort by conversions
• Measure conversion effectiveness
• Identify high-converting products
• Optimize for revenue

Result Details Modal​

Click Result Details

Opening Details​

Action: Click on any result row

Result: Modal dialog opens with detailed analytics

Component
Details
Title
Product/Result name
• Example: CLARA41 - Jewellery-Women
• Category: Jewellery
Metrics Summary
• Impressions: Total impressions for this result
• Avg Position: Average position in search results
• Click-through Rate: Engagement percentage
• Conversion: Conversion rate

Click Position​

Click Position Analytics
Element
Description
Title
Click Position
Description
Positions of the clicks performed on results displayed for query
Graph
Shows position distribution (currently may show "No Data" if insufficient data)
Axes
• X-axis (to): Position range in results
• Y-axis: Frequency/count
Use Cases
• Understand at which position users click this item
• Optimize ranking if item clicks well at lower positions
• Validate if top positions get more clicks
Popular Results for Search
Component
Description
Title
Popular results for this search
Table Columns
• QUERY: Search term that showed this result
• IMPRESSIONS: How many times shown for this query
• CLICKS: Clicks received from this query
• AVG POSITION: Average position for this query
Use Cases
• See which queries surface this product
• Identify best-performing queries
• Optimize for high-impression queries
Note
May show "No Data" if insufficient activity
Popular Search Filter Analytics

Title: Popular filter for this search

Purpose: Shows which filters users apply when viewing this result

When available:

  • Filter types (color, size, price range, etc.)
  • Usage frequency
  • Success rates
Popular Countries Analytics
Component
Details
Title
Popular countries
Table Columns
• COUNTRY: Country name
• COUNT: Number of interactions
• CLICKS: Clicks from this country
• USERS: Unique users from this country
Use
• Geographic performance analysis
• Regional preferences
• Localization opportunities
Note
May show "No Data" for new results or low-traffic items

Understanding the Data​

Pattern
Indicates
Actions
High Impressions, Low Clicks
• Product frequently appears in results
• But users don't find it attractive
• Poor product data (image, title, description)
• Irrelevant for the queries showing it
• Improve product images
• Enhance titles and descriptions
• Review which queries show this item
• Consider demoting for irrelevant queries
Low Impressions, High CTR
• Product rarely shown
• But very attractive when displayed
• Highly relevant for specific queries
• Boost ranking to increase visibility
• Identify queries where it performs well
• Consider featuring this item
• Expand to similar queries
Zero Clicks Despite Impressions
• Product always ranked too low (position 10+)
• Poor image quality
• Uncompetitive pricing
• Irrelevant for displayed queries
• Out of stock indicator
• May indicate broader engagement issues (see Searches without Clicks)
• Check average position in modal
• Review product presentation
• Verify pricing competitiveness
• Check stock availability display

Working with Results Data​

Optimization Workflow​

Step
Title
Actions
Step 1
Identify Priorities
• Sort by Impressions (find high-visibility items)
• Check Click-through Rate for these items
• Low CTR + High Impressions = Priority
Step 2
Analyze Details
• Click on result row
• Check average position
• Review click position distribution
• See which queries show this item
Step 3
Take Action
• Improve product data
• Adjust ranking rules
• Update searchable attributes
• Test changes using comparison mode
• Cross-reference with query-level analytics

Revenue Optimization​

Scenario
Optimization Actions
High Revenue Items
1. Identify top revenue generators
2. Increase visibility (boost ranking)
3. Cross-promote in recommendations
4. Feature in campaigns
Low Revenue Despite Clicks
1. Check conversion rate
2. Review product page experience
3. Verify pricing strategy
4. Analyze cart abandonment

Using Filters​

Filter Type
Usage & Benefits
Filter by Source
• Select analytics tag (e.g., back_to_school)
• Compare performance across campaigns
• Optimize each channel independently
• See Overview filters for site-wide filtering
Compare Time Periods
• Enable comparison mode
• Track improvement after optimizations
• Identify seasonal trends
• Validate ranking changes

Important Notes​

Category
Important Information
Data Accuracy
• Impressions count every time item appears in results
• Clicks tracked when user clicks on the item
• Revenue requires proper tracking implementation
• Click-through Rate calculated per result across all queries
Position Tracking
• Average position shows typical ranking
• Lower number = better (position 1 is best)
• Position varies by query
Attribution
• Conversions attributed to clicked results
• Attribution window depends on configuration
• May include assisted conversions

Best Practices​

Daily Monitoring​

Activity Type
Tasks & Indicators
Quick Check
• Sort by Impressions
• Verify top items have decent Click-through Rate (greater than 5%)
• Check for new high-impression, zero-click items
Red Flags
• High-impression item with 0 Click-through Rate
• Sudden drop in clicks for popular item
• Revenue anomalies

Weekly Analysis​

Analysis Type
Actions & Focus Areas
Deep Dive
1. Export top 50 results by impressions
2. Calculate average Click-through Rate
3. Identify items below average Click-through Rate
4. Review product data quality
5. Create optimization list
Focus Areas
• Products with Click-through Rate less than 2%
• High-impression items not converting
• Items with declining performance

Product Data Optimization​

Element
Optimization Guidelines
Images
High quality, multiple angles
Titles
Clear, descriptive, keyword-rich
Descriptions
Detailed, benefit-focused
Attributes
Complete, accurate
Pricing
Competitive, clearly displayed
Availability
Stock status visible

A/B Testing Results​

Testing Category
Test Scenarios & Measurements
Test Scenarios
1. Image variants
2. Title formats
3. Description lengths
4. Pricing strategies
5. Ranking adjustments
Measure
• Click-through Rate changes
• Conversion rate impact
• Revenue per impression
• Overall performance

Frequently Asked Questions​

Question
Answer
Why does a product have high impressions but zero clicks?
Common reasons:
• Product ranked too low (below fold)
• Poor quality images
• Unclear or unappealing title
• High price compared to competitors
• Out of stock indicator
• Irrelevant for queries showing it

Check: Click the result to see average position and queries
What's a good Click-through Rate for search results?
Benchmarks vary by position:
• Position 1-3: 15-30% Click-through Rate
• Position 4-6: 5-15% Click-through Rate
• Position 7-10: 2-8% Click-through Rate
• Position 10+: Less than 2% Click-through Rate

Overall product Click-through Rate averages across all positions and queries.
How do I improve Click-through Rate for a specific product?
Optimization steps:
1. Improve visuals: Better images
2. Enhance title: Add key details
3. Update description: Highlight benefits
4. Verify attributes: Complete all fields
5. Check pricing: Ensure competitiveness
6. Boost ranking: Increase visibility
7. Test changes: Monitor Click-through Rate improvement
Why is revenue showing 0 for products with conversions?
Possible causes:
• Revenue tracking not implemented
• Tracking code not firing correctly
• Revenue data not passed to analytics
• Conversion happened but no revenue attributed

Check: Verify revenue tracking in your integration
What does "No Data" in the modal mean?
Reasons:
• New product with limited activity
• Date range too narrow
• Not enough clicks for statistical significance
• Feature not available in your plan

Solution: Expand date range or wait for more data to accumulate
How are impressions counted?
Impression = one display in search results

Examples:
• User searches → product appears → 1 impression
• Same user scrolls, searches again → +1 impression
• Product appears twice on same page → 2 impressions

Impressions count total visibility, not unique views.
Can I see which queries show my product?
Yes, in the result detail modal:
1. Click on the result row
2. Scroll to "Popular results for this search"
3. See all queries showing this item
4. View impressions and clicks per query

Use this to optimize query relevance.
How do I export results data?
1. Apply desired filters (date, tags)
2. Click download icon (↓) in top right
3. Select format (CSV recommended)
4. Analyze in Excel/Sheets

Export limits may depend on your plan.