Beneath AnalyticsWork
Work, measured.
Three engagements, shown the way we report them internally: the number first. Each case study sets out what was going wrong, the approach we took in order, and the results that followed, with the questions clients ask before they commit. The pattern repeats across sectors: data nobody trusts, reports that arrive too late, and spend nobody can trace.
The number that changed.
Each card leads with the result. Open one to see the challenge behind it, the approach in delivery order, and the full set of metrics.
- eCommerce
3.4×
Attribution accuracy
Attribution rebuild for a €15M eCommerce brand.
eCommerce retailer, €15M GMV
A €15M eCommerce retailer was optimising spend with last-click attribution across Google, Meta, TikTok, and affiliates: a model that ignored most of the journey. Beneath Analytics rebuilt the stack with server-side GA4 and a BigQuery attribution model, finding €180K of misallocated spend in month one and improving accuracy 3.4×.
Read case study - FinTech
67% reduction
Reporting time
Automated compliance reporting for a payments business.
Payments processing company
A payments company spent three days a week compiling regulatory reports from five systems, and an audit had flagged the manual process as a risk. Beneath Analytics built an n8n pipeline into a validated central store with alerting and scheduled delivery, cutting reporting time 67% to four hours, with zero compliance incidents since.
Read case study - SaaS
4.2% to 2.8%
Monthly churn
Churn prediction model for a SaaS business losing 4% per month.
B2B SaaS company, project management tools
A B2B SaaS company was losing 4.2% of customers monthly with no early warning system, while product usage sat in a database customer success could not reach. Beneath Analytics unified the data in BigQuery, built a 45-day behavioural churn model at 78% precision, and cut churn to 2.8% in four months.
Read case study
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