AI Campaign Diagnostics

This guide explains how to use AdTrack’s AI-powered Google Ads Diagnostic Tool to analyze your campaign performance and receive actionable recommendations.

Overview

The Google Ads Diagnostic Tool uses artificial intelligence to analyze your Google Ads campaigns and provide:

  • Performance analysis across key metrics
  • Identification of underperforming areas
  • Actionable recommendations for improvement
  • Campaign-specific insights

Note: This feature requires a Pro plan subscription.

Accessing the Diagnostic Tool

  1. Open AdTrack from your Shopify admin
  2. Click Google Ads Diagnostic in the navigation menu
Navigation showing Google Ads Diagnostic option

Requirements

Before using the Diagnostic Tool:

  • Pro Plan Required – This is a Pro-only feature
  • Google Account Connected – Must have Google Ads connected
  • Campaign Data Available – At least one active campaign with recent data
  • AI Credits Available – Each analysis uses AI credits

Understanding AI Credits

What Are AI Credits?

AI credits are used for AI-powered features:

  • Each diagnostic analysis uses 1 credit
  • Credits are included with your Pro plan
  • Additional credits can be purchased

Viewing Your Credits

At the top of the Diagnostic Tool page:

  1. Find the AI Credits display
  2. Shows current credits remaining (e.g., “6 of 10”)
AI Credits display

Buying More Credits

If you need additional credits:

  1. Click the Buy credits button
  2. Select a credit package
  3. Complete the purchase
  4. Credits are added immediately

Running a Diagnostic Analysis

Step 1: Select Date Range

  1. Find the date range selector at the top
  2. Click to open the date picker
  3. Choose a date range (default: Last 30 days)
Date range selector

Step 2: Verify Connected Account

  1. Check the connected Google account display
  2. Ensure the correct account is shown
  3. The account email confirms which data will be analyzed
Connected Google account display

Step 3: Select a Campaign

  1. Find the Campaign dropdown
  2. Click to see available campaigns
  3. Select the campaign you want to analyze
  4. You can analyze one campaign at a time
Campaign selection dropdown

Step 4: Run the Analysis

  1. Click the Run AI diagnostic analysis button
  2. Wait for the analysis to complete
  3. This uses 1 AI credit
Refresh data button

Understanding the Analysis

Performance Overview

The diagnostic provides a summary of:

  • Overall campaign health score
  • Key performance metrics
  • Trend analysis compared to previous period

Metrics Analyzed

The tool examines:

MetricDescription
SpendTotal amount spent on the campaign
ImpressionsNumber of times ads were shown
ClicksNumber of clicks on ads
CTRClick-through rate
ConversionsNumber of conversion events
Cost per ConversionAverage cost for each conversion
ROASReturn on Ad Spend

AI Insights

The AI provides:

  • Critical issues
  • Key insights
  • Recommendations
  • Next steps
AI diagnostic results

Exporting the Report

Export Options

  1. Click the Export report button
  2. Choose your export format
  3. Download the report file
Export report button

Acting on Recommendations

Common Recommendations

The AI may suggest:

  1. Budget Adjustments
    • Increase budget on high-performing campaigns
    • Reduce budget on underperformers
  2. Keyword Optimization
    • Add suggested keywords
    • Negative keyword recommendations
  3. Bid Strategy Changes
    • Switch to different bidding strategies
    • Adjust target ROAS/CPA
  4. Ad Copy Improvements
    • Test new headlines
    • Update descriptions
  5. Audience Targeting
    • Expand or narrow targeting
    • Add remarketing audiences

Implementing Changes

For each recommendation:

  1. Review the suggestion carefully
  2. Log in to Google Ads
  3. Make the suggested changes
  4. Monitor results after implementation
  5. Re-run diagnostic after 7-14 days

Multiple Campaign Analysis

To analyze different campaigns:

  1. Complete analysis on first campaign
  2. Return to campaign dropdown
  3. Select a different campaign
  4. Run a new analysis (uses 1 credit per campaign)

Best Practices

  1. Regular Analysis – Run diagnostics weekly or bi-weekly
  2. Sufficient Data – Use at least 7-30 days of data
  3. Act on Insights – Implement recommendations promptly
  4. Track Changes – Monitor impact of optimizations
  5. Compare Periods – Run before and after analyses

Tips for Better Results

  • More data = better insights – Longer date ranges provide more accurate analysis
  • Focus on key campaigns – Prioritize campaigns with highest spend
  • Review regularly – Performance changes over time
  • Document changes – Track what optimizations you make
Last updated on February 17, 2026

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