If you can't measure it, you're guessing.

The biggest reason South African marketing spend gets wasted isn't bad creative or wrong targeting, it's broken measurement. We audit 50+ accounts a year, and roughly 8 in 10 have at least one of: misfiring GA4 events, deduplicated conversions, attribution gaps, ad-blocker signal loss, or dashboards that report on things nobody acts on.

Click Genius installs the analytics stack properly. GA4 done right. Tag Manager structured. Server-side tagging where it matters. Dashboards that show revenue, ROAS and pipeline, not bounce rate. The foundation under everything else we (and you) do.

What we deliver

GA4 implementation & migration

Properly-structured GA4 properties: events, custom dimensions, conversions, audiences, ecommerce, enhanced measurement and BigQuery export. We migrate Universal Analytics histories where possible and document everything in a tracking spec.

Google Tag Manager

Clean GTM workspace: organised folders, versioned tags, tested triggers, consistent dataLayer schema, debug mode validation. No more accidental double-fires or zombie tags from a 2019 campaign.

Server-side Tag Manager (sGTM)

Your tracking moved to your own server. Result: cleaner data (no ad-blocker loss), better page speed, longer cookies, and first-party signal back to Google Ads, Meta CAPI, LinkedIn and TikTok. Most accounts see 15-30% more conversions recovered after sGTM goes live.

Conversion API integrations

Meta CAPI, Google Ads Enhanced Conversions, LinkedIn CAPI, TikTok Events API. Server-to-server conversion data that survives iOS, ad blockers and cookie restrictions.

Dashboards & reporting

Looker Studio, Power BI or custom. Revenue dashboards, channel ROAS comparisons, funnel reports, cohort analysis, weekly executive summaries. Built around the decisions you actually need to make.

Attribution modelling

GA4 data-driven attribution, multi-touch attribution via BigQuery, marketing mix modelling for larger budgets, and incrementality testing to validate paid channel performance.

Predictive analytics

For larger accounts: customer lifetime value modelling, churn prediction, propensity scoring, lookalike audience generation from first-party data. Useful when you have at least 12 months of clean data.

Common analytics problems we fix

  • GA4 events fired in the wrong order, duplicated, or missing entirely
  • Conversions counted twice across Google Ads & GA4
  • Meta Pixel firing on every page but no proper purchase event
  • iOS attribution loss eating 30%+ of conversion data
  • Dashboards reporting sessions instead of revenue
  • Cross-domain tracking broken between marketing site and Shopify
  • Form submissions tracked but lead quality never measured
  • Offline conversions never imported (huge for B2B and high-LTV)

Our process

  1. Tracking audit, Map every existing event, identify gaps, document accuracy issues.
  2. Measurement strategy, Define the events, dimensions and conversions that actually inform decisions.
  3. Implementation, GA4, GTM, sGTM, CAPI setups built, tested in debug mode, documented.
  4. Dashboards, Looker Studio reports designed around your business questions.
  5. Ongoing, Monthly validation, new event additions, attribution reviews.

Who this is for

  • Brands investing meaningfully in paid media without trustworthy attribution across Google Ads, Meta, LinkedIn and programmatic
  • E-commerce stores where revenue numbers don't reconcile across platforms
  • Companies preparing for board reporting and needing clean executive dashboards
  • Marketing teams who've been told "the data shows X" without knowing if X is accurate
  • Founders making investment decisions based on bad numbers

How we price analytics work

Click Genius prices analytics work as either one-off implementation projects or ongoing retainers depending on what your business actually needs. Implementation projects cover GA4 migrations, GTM container builds, server-side GTM deployments, Conversions API (CAPI) installation, GA4-to-BigQuery export pipelines and Looker Studio dashboard design. Ongoing retainers cover monthly validation, attribution reviews, new event additions, anomaly investigation and executive reporting.

Every engagement is custom-scoped because every data stack is different, a clean GA4 migration is a completely different scope to a full server-side GTM + CAPI + BigQuery attribution build with custom data models. Pricing factors include current tracking state, number of platforms (Google Ads, Meta, LinkedIn, TikTok), e-commerce platform (Shopify, WooCommerce, custom), reporting frequency and whether predictive modelling is in scope. Book a free tracking audit and we'll send a tailored proposal scoped to your stack. No packages, no obligation.

Related services

  • Google Ads, analytics is the foundation of every paid campaign we run
  • Meta Ads, CAPI and proper signal go hand-in-hand with Meta performance
  • SEO Services, measuring organic value beyond traffic and rankings
FAQ

Analytics & tracking questions

GA4 is the only Google Analytics platform from July 2023 onwards, Universal Analytics was deprecated. Migrating properly is critical: incorrect setup means broken attribution, missing conversion data, and decisions made on bad numbers.

Server-side GTM moves your tracking from the user's browser to your own server. The result: more accurate data (no ad blocker loss), better privacy compliance, faster page loads, and longer cookie life, especially important for ROAS-driven ad accounts.

Most marketing dashboards report on the wrong things, sessions, bounce rate, impressions. Useful dashboards report on revenue, cost per acquisition by channel, customer lifetime value, and attribution conflicts. We design dashboards executives actually use.

Yes, including data-driven attribution in GA4, multi-touch attribution via dbt/BigQuery, and incremental measurement using lift studies. The right approach depends on your data maturity and budget.

If you're investing meaningfully in paid media (Google Ads, Meta, LinkedIn) or operating an e-commerce store, almost certainly yes. Server-side GTM (sGTM) moves your tracking from the user's browser to your own server, which delivers measurably more accurate data, recovering signal lost to ad blockers, iOS privacy restrictions and ITP, plus better privacy compliance under POPIA, faster page-load performance and longer cookie life. For paid media accounts this typically pays back inside 60 days through improved conversion attribution accuracy and better bid optimisation, especially on Meta CAPI and Google Enhanced Conversions.

We'll tell you honestly whether you need server-side tagging or whether a clean client-side GA4 + GTM setup is enough, as part of your free audit.

Find out what your data is actually missing.

Free 48-hour tracking audit. We tell you what's broken and what to fix first.