Why marketing measurement breaks down
Most consumer brands are not short on data. They are short on data they trust. Your analytics says one thing, Meta says another, Google Ads claims the same sale, and your store revenue matches none of them.
Privacy changes, ad blockers and the loss of third-party cookies mean platforms see less of the customer journey than they used to. Each platform fills the gap with its own modelling, and each has an incentive to take credit.
- Platforms report more conversions than the store received.
- Tracking breaks quietly after a site update.
- Reports use different definitions of revenue and conversion.
- Nobody is sure which campaigns bring new customers.
A good analytics partner fixes the foundation first, then builds reporting and analysis on top. It should prove revenue impact, not just report clicks and sessions.
Google Analytics and Tag Manager setup
Clean reporting starts with clean data collection. We audit and rebuild tracking so every important action on your site is captured accurately and consistently.
Google Analytics configuration
We configure Google Analytics around how your business makes money: property structure, data streams, ecommerce events, key events, custom dimensions and retention settings. If it is already in place, we audit it and fix what is broken. Some brands need a full setup. Many have it running but configured poorly.
Google Tag Manager
We build a structured container with clear naming, consistent triggers and a data layer that feeds Analytics, Google Ads and other platforms from one source.
Testing and validation
Every setup is tested end to end before it goes live and monitored after. We check that purchases, revenue and key events match your ecommerce platform, so you can trust the numbers in your reports.
Conversion tracking and server-side signals
Conversion tracking is how ad platforms learn who to target and how to bid. If it is wrong, every optimization built on it is wrong too.
We set up and maintain conversion tracking across the platforms you advertise on, including purchase values, new versus returning customers, consent handling and deduplication between browser and server events.
Browser-based tracking alone now misses conversions. We set up server-side tagging and conversion APIs, such as the Meta Conversions API, so your ad accounts receive better signals and campaigns optimize on more complete data.
Where it makes sense, we pass new-customer or margin-aware signals so platforms optimize toward profitable growth, not any sale at any cost.
First-party data and consent
The brands with the best first-party data have the clearest view of their customers. We help you build a data approach that respects privacy and consent while capturing the signals you need.
That covers consent settings, server-side collection, and connecting your store with your email and customer tools. We also keep records clean through consistent naming, deduplication and regular checks, so the data stays accurate over time.
Attribution that reflects the real journey
No single attribution model tells the whole truth. Last-click undervalues prospecting. Platform attribution overstates each channel's role. Data-driven models are only as good as the data behind them.
We combine several views:
- Platform and Analytics attribution for day-to-day campaign decisions.
- Blended metrics, such as marketing efficiency ratio and blended customer acquisition cost.
- Incrementality and holdout tests to measure what each channel truly adds.
- Third-party tools such as Triple Whale or Northbeam, where they fit your business.
The goal is not a perfect number. It is a consistent, honest view your team can use to decide where the next dollar goes. For consumer brands, we build models around first purchase, repeat purchase and customer value over time.
Reporting and dashboards your team will open
Reporting should answer business questions, not list every metric a platform can export. We build dashboards around the decisions your team makes every week.
Built around business goals
Each dashboard starts with new customer revenue, contribution margin, customer lifetime value, acquisition cost and payback. Channel metrics sit underneath, so you can see what drives performance without getting lost in detail.
One source of truth
We connect Analytics, ad platforms, your ecommerce platform and other sources into one reporting layer, usually in Looker Studio or your own BI tool. That means one set of definitions and far less time reconciling spreadsheets.
Automated
Reporting automation removes the manual work of pulling data from several platforms, so your team gets current dashboards without building them by hand.
From data to decisions
Dashboards show what happened. Analysis explains why and what to do next. We work with your marketing team to turn the data into clear recommendations, including:
- Cohort analysis of customer value and repeat purchasing.
- Channel and campaign analysis to find where spend works and where it is wasted.
- Funnel and landing page analysis to find where shoppers drop off.
- Product and category analysis of what drives first and repeat orders.
Every analysis ends with a recommendation. If it does not change a decision, we do not report it. To see how AI search fits into measurement, read about our AI search optimization work.
What you get and what you own
The work runs in four steps. We audit your tracking, reporting and data flows. We fix the foundation. We build reporting around agreed definitions. Then we deliver ongoing analysis and recommendations.
Measurement sits alongside media buying, SEO, creative and conversion work, so insights turn into changes quickly. Strategy and analysis are led by senior specialists, not handed to junior staff.
Accounts, data, tags and dashboards belong to your business. When you compare partners, ask each one what gets built, by when, and who owns it. We put the answers in writing.