Meta and Google Ads Conversion Rate Optimisation
A structured package covering the technical infrastructure that improves conversion measurement accuracy and ad signal quality for Meta and Google Ads: server-side tracking, Google Tag Gateway, anti-adblocker measures, and A/B test infrastructure with hypothesis setup driven by your actual data.
Full conversion coverage across client and server for Meta and Google Ads: Pixel and CAPI for Meta, Enhanced Conversions and Tag Gateway for Google. A/B test infrastructure with hypotheses from your actual funnel data.
Products and e-commerce sites where browser restrictions or incomplete conversion measurement are degrading ad platform signal, and where A/B tests are either not running or not based on actual behavioural data.
- Meta: Pixel client-side and CAPI server-side for complete conversion coverage
- Google Enhanced Conversions: first-party data matched server-side for accurate attribution
- Google Tag Gateway: first-party domain routing for client-side tags
- A/B test infrastructure: PostHog or Adobe Target or any other A/B testing tool, hypotheses from your funnel data
- Optional: audience building and first-party data enrichment
Depending on your existing setup, some steps below can be shortened or skipped entirely.
Delivery roadmapHow we deliver Meta and Google Ads Conversion Rate Optimisation.
Discovery
We review your current tracking setup, conversion goals, and advertising platform configuration to understand what is working, what is missing, and what the engagement needs to deliver.
Server-side implementation
Conversion events sent from your server directly to Google Ads and to Meta. Deduplication logic implemented to prevent double-counting between browser and server events.
GTM Server-Side Implementation via Stape We are platform agnostic. We adapt to your existing stack.
A/B test infrastructure
PostHog or Adobe Target configured for experiment delivery. Feature flags, variant assignment, and event tracking for experiment results are all set up and validated.
PostHog A/B Testing We are platform agnostic. We adapt to your existing stack.
Hypothesis development
We review your funnel data, session recordings, and cohort behaviour to identify the drop-off points worth testing first. Each hypothesis is documented with the evidence it is based on.
Advanced analytics (optional)
For teams that want to go further: we enrich conversion and behavioural data with CRM, product, and third-party sources to build high-value audiences, power real-time personalisation, and improve bidding signals beyond what standard tracking can provide.
Overview
How to know if you need Conversion rate optimisation
- Your conversion data fluctuates in ways you cannot explain, often because adblockers or browser restrictions are silently dropping events.
- You are running A/B tests but starting with ideas rather than with data.
- You have a cookie banner with low acceptance rates and are losing a meaningful share of your analytics and advertising data as a result.
- You want to run experiments but do not have the tracking infrastructure to trust the results.
What Conversion rate optimisation covers
- Server-side tracking endpoint: a server-side container that receives your conversion events and forwards them to Meta and Google, removing browser restrictions from the signal path.
- Meta Pixel and CAPI: Pixel deployed client-side for standard event capture, CAPI sending the same events server-side for complete conversion coverage.
- Google Enhanced Conversions: first-party conversion data sent server-side for more accurate attribution.
- Google Tag Gateway configuration: your tags and events route through a first-party subdomain on your own domain, reducing adblocker blocking rates for tags that still run client-side.
- A/B test infrastructure: experiment tooling configured in PostHog or Adobe Target or any other A/B testing tool, depending on what you have already integrated in your stack.
- Hypothesis development from data: we review your current behavioural data, funnel drop-off points, and heatmaps to develop hypotheses based on data. This is the most overlooked step when A/B tests projects start.
Conversion rate optimisation outcomes
- Measurable improvement in conversion data quality. Typical results are a 10-20% increase in recorded conversions, with outcomes ranging from 5% to over 50% depending on how much signal was previously being lost.
- An A/B testing pipeline with hypotheses grounded in your behavioural data and experiment delivery configured through your chosen tool.
- Reduced tracking gap from adblockers through server-side and first-party routing measures.
- A clearer picture of all data points tracked in your funnels and an overall increase in data maturity also thanks to documented processes to use as blueprint next time.
Scope and hours
- 30-60 hours depending on the components selected and your existing infrastructure.
- The package is modular: server-side tracking, Tag Gateway, and A/B test infrastructure can be scoped individually if you only need part of the stack.
- Server-side tracking requires a server environment. We advise on infrastructure requirements before scoping.
What makes this different
- Hypothesis development is a formal step before any test is scoped. We review funnel drop-off rates, session recordings, and behavioural patterns to identify where a test is actually worth running.
- Server-side tracking is implemented with event deduplication and end-to-end validation. We verify the data reaching Meta and Google is accurate before the engagement closes.
- The engagement includes a post-go-live walkthrough covering every component implemented, and one month of unlimited follow-up requests after launch.
More Special services
View all Special servicesWant to try before you commit?
- Looking to try out Beluacode but not sure about it? You can always ask us for a free audit.
- Free, no strings attached. We deliver the results and wish you a great day.
- You will not be forced to talk to us, no call needed to release the results :)
Frequently Asked Questions
What is server-side tracking and why does it matter?
What is Google Tag Gateway?
PostHog or Adobe Target for A/B tests: which should we use?
What do you mean by hypothesis setup based on data, not LLM answers?
Pairs well with
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SaaS Product Tracking
Web analytics on your marketing site (PostHog or GA4) connected to in-app product analytics as one funnel, covering the full user journey from first visit to in-app activity. PostHog covers both layers on the free tier. Privacy compliant tracking included.
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