Data science and AI for e-commerce. MMM, recommendation systems, BI and automation for DTC brands that want to scale on data, not on gut feeling.
These are the problems leaving money on the table every single day.
You invest in Meta, Google, TikTok... but you don't know which one delivers real ROI. You double down on channels that don't convert while ignoring the ones that do.
You have GA4, Shopify analytics, your CRM... but when it's time to decide, you still go with your gut. Your data is right there, and nobody turns it into decisions.
Your 'You may also like' section shows random products. Without AI you lose cross-sells and average order value. Amazon converts 35% with recommendations. You, far less.
You export spreadsheets, copy data by hand, cross-reference tabs. You lose hours on tasks automation would do in seconds. Your time is worth more.
From the first meeting to production. Here is the whole process, step by step.
We've spent years helping e-commerce brands make better decisions with data science and AI.
We measure the REAL impact of every euro spent on ads. You know exactly which channel delivers ROI and shift budget toward what works. No guessing.
Dashboards that connect all your sources and surface what matters. Real margin per product, LTV per cohort, stock forecasting. Decisions in seconds, not hours.
Algorithms that understand your customer and show the perfect product at the perfect moment. Raise average order value and conversion with smart recommendations.
We remove manual work. We integrate your systems and automate reports, alerts and processes. Your team focuses on growing, not on copying data.
Estimate the impact of optimising your ad spend with Marketing Mix Modeling
Estimates based on typical 15-30% ROAS improvements observed in Marketing Mix Modeling projects. Actual results depend on data quality, tracking consistency and market conditions. Benchmarks derived from 50+ e-commerce implementations (2023-2025). This is an estimate, not a guarantee.
Book a call to validate this potentialWe implemented Marketing Mix Modeling with Meta Robyn to solve attribution problems caused by iOS and cookie changes. We optimised budget allocation across channels (Google Ads, Meta, Pinterest) and cut costs while growing sales.
It depends on the project. A typical BI dashboard starts at EUR 3,000. More complex projects (ERP, MMM) start at EUR 7,000. We also offer monthly retainers for maintenance and continuous improvement.
BI dashboard: 2-4 weeks. Recommendation system: 4-6 weeks. Full project (ERP + BI): 8-12 weeks. Always with incremental deliveries so you see value from day 1.
Python, SQL, modern BI tools, integrations with Shopify, GA4, Meta Ads, Google Ads and any data source you use. We adapt to your stack.
It's our main focus, but we've worked with other sectors too. If you have data and want to use it better, let's talk.
Let's talk for 30 minutes. We'll show you how we can help, no strings attached.