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ANALYTICS

Overview

Seekora's Analyatic provides a comprehensive dashboard to monitor search performance, user engagement, and query patterns. Track key metrics like total users, searches, conversion rates, and identify trends to optimize your search experience. Use insights from these Key Metrics Cards to improve your search configuration and rules management.


Date Range Selector

Analytics Overview
  • Click date range to open calendar
  • button: Clear selection
  • Custom range selection available
  • Tip: Use different date ranges to analyze patterns in Top Searches and No Results queries

Filter Options

: Opens filter dropdown

Available Filters (analytics tags):

Filter analytics by specific search types or sources. Available tags may include:

{
"search_types": [
"paid_search",
"organic_search",
"search_ui_v2",
"search_autocomplete_v3",
"voice_search"
],
"campaign_tags": [
"research_mode",
"visual_search",
"back_to_school",
"new_arrivals",
"email_newsletter",
"recommendation_engine_a"
],
"custom_tags": "Other custom tags based on your configuration"
}

Comparison Mode

Purpose: Compare current period with previous period or custom date range

Use with: Key Metrics Cards to identify trends and measure impact of optimization efforts


Key Metrics Cards

Analytics Key Metrics

Six primary metric cards display high-level statistics with mini trend graphs:

Metric
Definition
Use Cases
1. Total Users
Unique users who performed searches during the selected period
• Track user engagement growth
• Identify peak usage days
• Monitor user adoption
• Correlate with Top Searches for user behavior insights
2. Total Searches
Total number of search queries executed
• Understand search frequency
• Track overall platform usage
• Identify search patterns

Metric
Definition
Importance
3. No Results Rate
Percentage of searches that returned zero results
• High rate indicates content gaps or query understanding issues
• Target: Lower is better (ideally less than 20%)
• Requires attention if consistently high
Fix with: Searches without Results analysis and content optimization
4. Click-through Rate
Percentage of searches where users clicked on results
• Measures result relevance
• Higher rate = better search quality
• Industry average: 10-30%
Improve with: search relevance tuning and rules optimization

Metric
Definition
Importance
5. Conversion Rate
Percentage of searches that led to desired action (purchase, signup, etc.)
• Ultimate success metric
• Indicates search effectiveness
• Direct business impact
6. No Clicks Rate
Percentage of searches where users didn't click any result
• Inverse of click-through rate
• High rate suggests poor result quality
• Target: Lower is better

Trends Overview Graph

Title: Trends Overview

Quick Start: Jump to Understanding the Graph for interpretation tips

Feature
Description
Select Series Dropdown
Toggle visibility of different metrics
Graph Display
Multi-line chart showing multiple metrics over time
Legend
Shows all available metrics with color coding:
• Total Searches
• No Results Rate
• Click-through Rate
• Conversion Rate
• Total No Clicks
• Total No Results

Understanding the Graph

Category
Details
How It Works
• Each metric displayed as a color-coded line
• Toggle individual lines on/off using legend checkboxes
• Overlay multiple metrics to find correlations
• X-axis shows date range
• Y-axis shows metric values (counts or percentages)
What to Look For
• Search volume spikes or drops
• Correlation between searches and conversions
• High no-results rate periods
• Click-through rate trends
• Pattern consistency over time
• Day-of-week patterns
• Impact of changes or campaigns
Act on insights: Use Best Practices section for guidance

Bottom Section Tables

Three side-by-side tables provide detailed breakdowns:

1. Top Searches

Top Searches

Displays: Most frequently searched queries during selected date range

Action Link: + View in Searches (redirects to detailed searches page)

Use:

  • Identify popular products/topics
  • Optimize content for high-demand queries (test with Store Browse)
  • Plan inventory or content strategy
  • Understand user intent and interests
  • Deep dive: Use detailed Searches Analytics for comprehensive query analysis

2. Top Results

Top Results

Displays: Most frequently displayed items/results across all searches

Action Link: + View in Results

Use:

  • Identify most-shown products/content
  • Verify result quality and relevance
  • Optimize product visibility
  • Understand what content appears most often

3. Searches without Results

Searches without Results

Displays: Queries that failed to return any results, sorted by frequency

Action Link: + View in No Results (opens detailed no-results page)

Critical Insight:

  • These are missed opportunities
  • High-count queries need immediate attention
  • Add missing content or improve query understanding
  • Prioritize based on frequency
  • Solutions: Create declensions groups for word variations, add synonyms, or create rules for query handling

Notes

Category
Details
Data Refresh
• Real-time or near real-time updates
• Date range changes refresh all metrics
• Comparison mode shows period-over-period changes
Metric Relationships
• Total Searches = base metric
• Click-through Rate + No Clicks Rate ≈ 100%
• High No Results Rate often leads to high No Clicks Rate
Performance Targets
No Results Rate: Target less than 20%
Click-through Rate: Target 20-40%
Conversion Rate: Varies by industry (typically 2-10%)
Actionable Insights
• High no-results rate suggests content gaps
• Low CTR indicates poor result relevance
• Unusual patterns require investigation

Best Practices

Daily Review

Category
Actions
Quick Check
• Glance at Key Metrics Cards
• Note any unusual spikes or drops
• Check Searches without Results table
• Review Trends Overview Graph for patterns
Red Flags
• Sudden drop in Total Searches
• Spike in No Results Rate
• Zero Click-through Rate

Weekly Analysis

Category
Tasks
Deep Dive
• Review Trends Overview Graph for patterns
• Compare week-over-week using Comparison Mode
• Analyze Top Searches for new trends
• Prioritize fixing high-count no-results queries
Action Items
• Add content for top no-results queries
• Optimize for top searches using rules
• Investigate anomalies using detailed analytics
• Update search configuration based on insights

Frequently Asked Questions (FAqs)

Question
Answer
Why is my No Results Rate high?
High no-results rate indicates:
• Content gaps in your index
• Query understanding issues
• Mismatch between user queries and indexed data
• Need to add synonyms or improve search configuration

Actions:
1. Review Searches without Results table
2. Add missing content or configure synonyms
3. Create declension groups for word variations
4. Set up rules for complex query handling
How do I improve Conversion Rate?
Strategies:
1. Improve search relevance with configuration tuning
2. Reduce no-results using Searches without Results insights
3. Optimize landing pages and user experience
4. Streamline checkout/action flow
5. Use query suggestions to guide users
6. Create rules for result optimization
Why are Top Results showing low or 0 counts?
This occurs when:
• Date range has no search activity
• All searches returned no results (high no-results rate)
• Data collection issue
• New store with limited data
• Filters applied limiting results
Can I export this data?
Export options depend on your plan. Look for export buttons or use Advanced Analytics tab for deeper analysis and potential export features.
What does the Trends Overview graph show?
It overlays multiple metrics to reveal correlations:
• Do conversion rates increase with search volume?
• Does no-results rate spike at certain times?
• Are there weekly patterns?

Use it to find cause-effect relationships and optimize timing.

Detailed Analytics:

Search Optimization:

Store Management: