Why does e-commerce attribution break after cookie changes?
Most mid-market stores lose 20-40% of conversion signal when relying on browser pixels alone. Ad platforms cannot optimise spend, ROAS looks artificially low, and remarketing audiences shrink. Server-side tracking restores event delivery with hashed customer data and deduplicated event IDs.
How do we implement server-side tracking?
We audit GA4, GTM, Meta Pixel, and checkout flows, then deploy a server-side endpoint - typically Cloudflare Workers or GTM-SS - with Meta CAPI, Google Enhanced Conversions, and proper event_id deduplication. Implementation is remote and works for US, UK, CA, AU, and NZ stores.
Where does W Scale Automation deliver this service?
We work remotely with English-speaking e-commerce teams globally. Same engagement model: discovery, fixed quote, deploy, and optional ongoing monitoring retainer.
How can AI and LLMs improve your tracking and analytics?
Beyond fixing data collection, we layer AI on top of your analytics so insights surface automatically instead of waiting for manual reports.
- Detect broken or missing events and alert your team automatically
- Explain attribution and ROAS changes in plain language
- Summarise weekly performance into a readable digest
- Spot anomalies and spend waste across campaigns
- Answer ad-hoc data questions from your warehouse in natural language
Frequently asked questions
What is server-side tracking?
Server-side tracking sends marketing events from your infrastructure to ad platforms instead of the user's browser, improving reliability and match rates.
Do I still need the Meta Pixel?
Yes - browser pixel plus Conversions API with shared event_id gives the best deduplication and match quality.
Which platforms do you support?
Shopify, WooCommerce, custom stacks, Meta, Google Ads, GA4, and LinkedIn.