We are building an e-commerce integration for our data warehouse solution Admetrics Data Studio. This integration will enable e-commerce businesses to combine and unify their transactional data with ad performance data from many media platforms, like Facebook, Google Ads, Snapchat, TikTok, Amazon, and many more.

Leading e-commerce businesses are using our data warehouse for years to optimize their advertising campaigns. Now we plan to enable small and medium-sized e-commerce businesses to use our advanced advertising analytics solution. To keep things simple we will at first integrate with Shopify stores while planning to onboard more e-commerce systems on an ongoing basis.

Features and benefits 

Main features and benefits that this integration will provide are:

1. Single source of truth
See all your ad campaigns across media sources in one convenient and easy-to-use dashboard and pivoting UI.

2. Own attribution models
Run your own multi-touch attribution models and start to understand where your customers are really coming from. Stop relying on the self-attribution of Google, Facebook, and the likes: No more duplicated attributed conversions across your different ad/media sources.

3. Understand how and where you acquire your most valuable customers
Drill down to ad level, understand where you are getting the most valuable clients from. Advanced cohort analysis is also available.

4. Make better data-driven decision
Through the integration of our Bayesian statistics engine Quantify we put statistical modeling, which until now has only been available to enterprise clients with data science departments, at your fingertips so you can make better data-driven decisions. 

5. Integrated experimentation engine for highly efficient testing
Quantify enables running and analyzing marketing tests and experiments at a pace. In comparison to significance testing, it's roughly 10x more efficient, meaning you can run tests at a fraction of the time and at a fraction of the cost compared to traditional A/B tests. Some use-cases are: Testing different creatives and messages, items in the creatives, pricing, new platforms or channels, targeting settings, ...

6. All core metrics at a glance

Analyze many KPI's, like ROAS, RPU, CLV, ASP, and drill down to media source, campaign, ad set, ad level or referrer level.


What's the deal?


We plan to finalize the development of the first version in April.


We are seeking 10 pilot partners that fit the following criteria

  • You are spending at least 10k USD per month on advertising
  • You are generating at least 50k USD revenue per month

What we want from you

  • Your data (we will only access order data and no private data/no customer details)
  • Your feedback (30 mins of your time every 2-4 weeks)

What you will get

  • Early access to tool
  • Dedicated support (also from our data scientists)
  • Free to use until we release the official version
  • 50% discount for the first 3 months once we released the official version

Get in touch

If you are interested please reach out to [email protected] and we'll schedule a 30-minute discovery call to figure out if this is a match.