How to configure Google Analytics integration

How to configure Google Analytics integration

Connect Google Analytics 4 with AB Tasty Recommendations & Merchandising to track recommendation performance and measure the business impact of your personalization efforts.

The GA4 integration now supports automatic setup with no manual activation date required. A BigQuery project is automatically created when needed, ensuring a smooth setup and faster time-to-value.

Prerequisites

Before configuring Google Analytics integration, ensure you have:

• Active AB Tasty Recommendations & Merchandising account with deployed recommendations

• Google Analytics 4 property set up for your website

• Administrative access to your Google Analytics (and Biq Query if needed) account

• Understanding of your tracking requirements and business KPIs

Access Google Analytics integration

Navigate to the integrations interface to set up your Google Analytics connection.

1. Log into your AB Tasty R&M dashboard

2. Click SETTINGS in the left sidebar

3. Select the Integrations tab

4. Locate Google Analytics 4 under Analytics

5. Click CONNECT

Configure GA4 connection

Set up the integration between your Google Analytics property and AB Tasty platform.

Authorize access

1. Click CONNECT to begin authorization

2. Sign into your Google account

3. Select the GA4 property to connect

4. Grant AB Tasty permission to access GA4

Configure data sharing settings

Two possibles flows to share data

Case A – BigQuery already detected in your GA4 config

• GA4 events are accessed through BigQuery

• You simply grant read-only access to your GA4 BigQuery dataset

• Once confirmed → integration is complete

Case B – No BigQuery detected

• A BigQuery project is created automatically when GA4 is connected

• The activation date is automatically set to today (no manual step required)

• You receive a confirmation screen showing status

Set up recommendation tracking events

Configure specific events to track recommendation performance in Google Analytics.

Configure impression tracking

Set up events to track when recommendations are displayed to users:

• Event name: recommendation_impression

• Parameters: recommendation_id, algorithm_type, product_count, page_location

• Purpose: Track recommendation visibility and reach

Configure interaction tracking

Set up events to track user interactions with recommendations:

• Event name: recommendation_click

• Parameters: recommendation_id, product_id, position, algorithm_type

• Purpose: Measure recommendation engagement and click-through rates

Configure conversion tracking

Set up events to track purchases attributed to recommendations:

• Event name: recommendation_conversion

• Parameters: recommendation_id, product_id, revenue, currency

• Purpose: Measure recommendation impact on sales and revenue

Validate Google Analytics integration

Confirm that your integration is working correctly and data is flowing into Google Analytics.

Test event tracking

1. Visit your website and interact with AB Tasty recommendations

2. Navigate to Realtime reports in Google Analytics to see live events

3. Verify that recommendation events appear with correct parameters

4. Check that event data includes all configured custom dimensions

Review data accuracy

1. Compare AB Tasty dashboard metrics with Google Analytics data

2. Verify that recommendation impressions match between platforms

3. Check that click-through rates are consistent across both systems

4. Confirm that conversion attribution aligns with your expectations

Create Google Analytics reports

Set up custom reports and dashboards to analyze recommendation performance.

Build recommendation performance reports

1. Navigate to Explore in Google Analytics to create custom reports

2. Add recommendation events as your primary metrics

3. Configure dimensions for algorithm type, product categories, and user segments

4. Set up date range comparisons to track performance over time

Configure conversion attribution reports

1. Create reports that show the customer journey from recommendation to purchase

2. Set up multi-channel funnel analysis including recommendation touchpoints

3. Configure attribution models that properly credit recommendation interactions

4. Build cohort analysis to understand long-term impact of recommendations

Set up automated reporting

1. Schedule regular reports to be delivered to stakeholders

2. Configure alerts for significant changes in recommendation performance

3. Set up custom dashboards for real-time monitoring of key metrics

4. Export data for further analysis or integration with other business intelligence tools

Analyze recommendation impact

Use Google Analytics data to understand and optimize your recommendation performance.

Monitor key performance indicators

1. Track recommendation impression rates and visibility across different pages

2. Analyze click-through rates by algorithm type and product category

3. Measure conversion rates and revenue attribution from recommendations

4. Monitor user engagement patterns and session behavior with recommendations

Segment performance analysis

1. Compare recommendation performance across different user segments

2. Analyze device-specific performance (mobile vs. desktop)

3. Review geographic variations in recommendation engagement

4. Examine performance differences across traffic sources and campaigns

Optimize based on insights

1. Identify top-performing recommendation algorithms and expand their usage

2. Adjust recommendation placement based on engagement data

3. Refine targeting and personalization strategies using user behavior insights

4. Test and iterate on recommendation designs and layouts based on performance data

Troubleshoot integration issues

Address common problems that may arise with Google Analytics integration.

Resolve tracking discrepancies

1. Verify that all AB Tasty tracking codes are properly implemented

2. Check that Google Analytics 4 configuration matches AB Tasty settings

3. Review data processing delays that may cause temporary discrepancies

4. Confirm that privacy settings and consent management aren't blocking tracking

Fix data quality issues

1. Validate that custom event parameters are being passed correctly

2. Check for missing or incomplete recommendation attribution data

3. Review filter settings that might exclude recommendation events

4. Ensure that currency and revenue tracking is configured properly

Related resources

• How to configure Matomo integration

• How to configure integration using sample data

• Analytics integration tutorial