Analytics & conversions in PrestaShop
You get to measure what truly drives sales. Proper eCommerce event tracking, correctly configured Google Analytics 4 and Google Tag Manager — and data that shows where you're losing customers and how to improve conversions.
Who is this for
- PrestaShop store owners who want to make decisions based on data, not gut feeling
- Stores with GA4 already set up but incomplete or incorrect transaction data
- Marketers and PPC specialists who need reliable data to optimize ad campaigns
- Companies planning to scale sales and needing a solid analytics foundation
- Stores without eCommerce event tracking or with only a default, minimal setup
Problems this solves
- ! GA4 reports don't reflect actual sales – transactions are missing or duplicated
- ! No tracking of purchase funnel stages – unclear where customers abandon their cart
- ! Google Tag Manager is cluttered with unused tags, no versioning or documentation
- ! Ad campaign data (Google Ads, Meta) doesn't match GA4 data
- ! No tracking of micro-conversions: searches, filtering, add to cart, coupon usage
- ! Ad blockers and consent mode cause data loss – no server-side tracking as a solution
When you should consider this
- Audit of current analytics setup: GA4, GTM, dataLayer, PrestaShop modules
- Implementation or fix of eCommerce event tracking (view_item, add_to_cart, begin_checkout, purchase)
- Google Tag Manager configuration with a clean structure of tags, triggers and variables
- Full purchase funnel tracking with drop-off point identification
- Enhanced Conversions and Consent Mode v2 implementation for Google Ads
- Server-side tracking via Google Tag Manager or Measurement Protocol
- Custom dashboards and reports in GA4 tailored to store needs
How the process works
Analytics audit
Your current setup gets reviewed: GA4, GTM, dataLayer, tracking modules. Gaps, errors and duplicate events are identified. You get a report with priorities.
Implementation plan
You receive a plan: which events to track, how GTM should be configured, what requires code changes — with priorities and early improvements.
Implementation and testing
Tracking goes live on a staging environment first, with data verified in GA4 DebugView and GTM Preview. The full purchase funnel gets tested.
Monitoring and optimization
After deployment, data quality is monitored for 2–4 weeks. Anomalies get corrected and reports are fine-tuned to your business needs.
- 1
Analytics audit
Your current setup gets reviewed: GA4, GTM, dataLayer, tracking modules. Gaps, errors and duplicate events are identified. You get a report with priorities.
- 2
Implementation plan
You receive a plan: which events to track, how GTM should be configured, what requires code changes — with priorities and early improvements.
- 3
Implementation and testing
Tracking goes live on a staging environment first, with data verified in GA4 DebugView and GTM Preview. The full purchase funnel gets tested.
- 4
Monitoring and optimization
After deployment, data quality is monitored for 2–4 weeks. Anomalies get corrected and reports are fine-tuned to your business needs.
What to measure in your store
Which products attract attention and which are skipped
How many people add a product vs just browse
How many carts proceed to the purchase process
Where exactly customers drop off in the funnel
How many transactions are recorded vs actual sales
Which promotions and payment options work best
Which fields cause frustration and abandonment
Case study
More complete purchase tracking in GA4
Problem: A PrestaShop store was recording only ~60% of actual transactions in GA4. The gap was caused by ad blockers, payment gateway redirects and dataLayer timeouts.
Solution: Server-side tracking implementation via Measurement Protocol. The purchase event is sent from the PrestaShop backend after payment confirmation – regardless of the client's browser.
- GA4 transaction coverage increased from ~60% to ~97%
- Revenue data aligned with payment system reports
- Google Ads campaigns began optimizing on reliable data
- Full purchase funnel analysis became possible without gaps