Three projects. Three challenges. Measurable results. A look at how we work — from problem analysis to a complete tracking setup.
How an established e-commerce company made its ad spend significantly more profitable through server-side tracking (measured ROAS increase: approx. 3×) — while reducing data loss from 42% to under 5%.
An established e-commerce company with seven-figure annual revenue was fighting an increasingly severe data loss problem: Safari ITP, iOS ATT and widespread ad blockers were causing 42% of all tracking events to disappear — without GA4 giving any indication. The result was campaign decisions made on incomplete data and a ROAS that was structurally reported too low.
Complete inventory of the existing GTM container, all tags and tracking endpoints. Quantification of data loss from ad blockers and ITP across all browsers and devices.
Setup of the GTM Server Container on Google Cloud. Configuration of the first-party cookie domain and SSL certificate for reliable data capture.
Step-by-step migration of all events to the server container. Parallel operation to validate data quality before cutting over completely.
Clean integration of CMP signals into the server layer. QA with DebugView, GA4 Realtime and Meta Test Events to confirm full compliance and accuracy.
Production cutover, deactivation of old client-side tags, documentation and handover to the internal team with full training.
A Swiss B2B SaaS provider didn't know which marketing channels were truly bringing customers. After 8 weeks they had a complete picture of their lead journey — and halved their CPL.
A Swiss B2B SaaS provider with a growing inside sales team faced a classic problem: marketing was investing budget in SEO, Google Ads, LinkedIn and content — but which channel was actually bringing paying customers remained unclear. Three different tools produced three different numbers. Budget allocation decisions were made on gut feeling, not reliable data.
Full analysis of all existing tracking implementations, form events and conversion goals. Identification of data gaps per channel and tool.
Clean GA4 implementation with comprehensive capture of all lead forms, demo requests and trial sign-ups via a structured GTM data layer.
HubSpot CRM connected via API. Lead status and deal stage fed back into GA4 and Google Ads as offline conversions — enabling true end-to-end attribution.
Unified reporting across all channels in a single Data Studio dashboard — from first impression to closed deal, including CPL trends per channel.
Documentation, handover to the marketing team and training of internal users for independent work with the dashboard and new reporting structures.
How a Swiss performance agency standardised and automated its tracking quality across 12 client accounts — with a white-label tracking stack that deploys in hours rather than weeks.
A Swiss performance agency was managing 12 client accounts simultaneously — with steadily growing coordination overhead. Every new client required manual GTM configuration, server-side tracking setup from scratch and a fresh Consent Mode integration. That consumed 3–4 weeks per onboarding, tied up resources and produced inconsistent data quality across accounts. At the same time, there was no central monitoring: tracking errors often went unnoticed for weeks.
Inventory of all 12 accounts. Derivation of shared requirements. Design of a white-label GTM template container with standardised tags, triggers, variables and consent logic.
Setup of a central GTM Server Container infrastructure on Google Cloud with multi-tenant routing logic — one infrastructure serving all current and future client accounts.
Step-by-step migration of all existing accounts to the template container. Parallel operation for validation without data loss. Per-account customisations remain possible.
Automated checks via GA4 Data API: alerts for traffic anomalies or conversion drops across all 12 accounts simultaneously — proactive rather than reactive.
Complete technical documentation, a client onboarding playbook and training of the agency team for independent use, development and future client onboarding.
How a Swiss media company increased its analytics coverage from 58% to over 95% through correct Consent Mode v2 implementation — without compromising nDSG compliance.
An established Swiss media company had implemented a CMP following the introduction of the nDSG, considering their data privacy obligations covered — or so they thought. What nobody had noticed: Consent Mode v2 had never been correctly integrated into GA4 and GTM. The result was a silent data loss of around 40%, which triggered no alerts and no error messages. Campaign decisions, content analyses, and reach measurements were based on structurally incomplete data for months.
Full analysis of the GTM container and CMP setup. Identification of the incorrect tag firing order and missing dataLayer integration between Usercentrics and GTM.
Correct integration of default and update commands via GTM. Ensuring the CMP callback executes before all tracking tags. Activation of Advanced Consent Mode in GA4.
QA using GTM Preview, GA4 DebugView, and the Consent Mode Debugger. Review of modelled conversions in GA4. Documentation and handover to the internal team.
Despite different industries and challenges, all our projects follow the same core principles.
We build nothing until we understand what's already there and why it isn't working. A thorough audit saves time and prevents repeating old mistakes in a new form.
What should be measured? Why? And what decisions should the data enable? We answer these questions together — in writing, before the first tag is set.
Every implementation is fully validated before going live. No assumptions — measurable confirmation that the data is correct.
Every project ends with complete documentation and a handover training. Your team should understand, maintain and further develop the implementation.
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