Context
A premium beauty brand was struggling with inaccurate conversion tracking due to iOS 14+ restrictions and slow site performance affecting their ad ROAS.
What we built
We implemented server-side GTM with Meta CAPI and optimized their Core Web Vitals by reducing JavaScript bloat and implementing lazy loading. We also set up GA4 Enhanced Conversions for better attribution.
Results
- •38% increase in ROAS
- •22% improvement in site speed (LCP)
- •Recovered 85% of previously lost conversion data
- •8-week implementation timeline
Context
A fintech startup launching their mobile app had poor attribution visibility and high customer acquisition costs due to fragmented tracking across platforms.
What we built
We built a comprehensive CAPI + sGTM infrastructure connecting their app events to Meta, TikTok, and Google Ads. We also implemented MMP integration with AppsFlyer for unified attribution.
Results
- •31% increase in install rates
- •18% decrease in CAC
- •95% attribution accuracy across all channels
- •6-week implementation timeline
Context
A marketing SaaS company needed better visibility into their multi-touch attribution and wanted to consolidate data from 12+ sources into a single source of truth.
What we built
We built a BigQuery data warehouse with automated ELT pipelines pulling from GA4, Salesforce, HubSpot, ad platforms, and product analytics. We created custom attribution models and executive dashboards.
Results
- •Identified $2M in wasted ad spend
- •Reduced reporting time from 3 days to 30 minutes (95% reduction)
- •Complete visibility into customer journey across 12+ data sources
- •10-week implementation timeline