Understanding Data Discrepancies

It's normal for numbers to vary slightly between Glarify, GSC, and GA4.

Why Numbers Differ

Measurement Methods

Data Processing

• GSC: 24-48 hour processing delay
• GA4: 24-48 hours for standard reports
• Glarify: Syncs based on your schedule

Bot Filtering

Each platform filters bot traffic differently:

• GSC has aggressive bot filtering
• GA4 filters based on known patterns
• Edge cases may be counted differently

Common Scenarios

Clicks vs Sessions

Why they differ:

• User clicks but doesn't wait for page load
• JavaScript fails to execute
• Multiple clicks in single session
• Bot clicks filtered by GA but not GSC

Expected variance: 10-30%

Today's Data

Why it's incomplete:

• GSC data is 2-3 days behind
• GA4 standard reports have 24-48hr lag
• Only GA4 real-time is current

Historical Data Changes

Why past data changes:

• Google reprocesses historical data
• Spam filtering applied retroactively
• Bot detection improvements

Best Practices

For Reporting

• Use the same source for trend comparisons
• Don't try to reconcile exact numbers
• Focus on trends, not absolutes
• Document which source you're using

For Analysis

• Use GSC for search visibility
• Use GA4 for user behavior
• Use Glarify for combined insights

For Stakeholders

• Explain data source differences upfront
• Show trends rather than absolute numbers
• Be consistent in which metrics you report