We turn your data into decisions that multiply sales
Data science and AI for e-commerce. MMM, recommendation systems, BI and automation for DTC brands that want to scale with data, not intuition.
Why isn't your data helping you sell more?
These are the problems that make you leave money on the table every day.
You're spending on ads blindly
You invest in Meta, Google, TikTok... but you don't know which gives you real ROI. You double down on channels that don't convert while ignoring the ones that do.
Data you don't use
You have GA4, Shopify analytics, your CRM... but when it's time to decide, you still use intuition. Your data is there, but nobody turns it into decisions.
Generic recommendations
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, much less.
Manual processes
You export Excel files, copy data manually, cross-reference spreadsheets. You waste hours on tasks that automation would do in seconds. Your time is worth more.
You don't know your real margin
You invoice, but you don't know which product or channel gives you real profit. You make pricing and inventory decisions without seeing the complete margin. Dangerous.
Growing without scalability
Every new decision requires more time and resources. Without automated systems, your growth becomes your biggest bottleneck.
We know how to turn your data into growth
We've been helping e-commerce make better decisions with data science and AI for years.
Marketing Mix Modeling
We measure the REAL impact of every euro invested in ads. You know exactly which channel gives you ROI and redistribute budget toward what works. No guessing.
Business Intelligence
Dashboards that connect all your sources and show you what matters. Real margin by product, LTV by cohort, inventory prediction. Decisions in seconds, not hours.
Recommendation Systems
Algorithms that understand your customer and show the perfect product at the perfect moment. Increase average order value and conversion with intelligent recommendations.
Automation
We eliminate manual tasks. We integrate your systems, automate reports, alerts and processes. Your team focuses on growing, not copying data.
Calculate how much you could improve your ROAS
Estimate the impact of optimizing your advertising investment with Marketing Mix Modeling
Estimates based on typical 15-30% ROAS improvement observed in Marketing Mix Modeling projects. Actual results depend on data quality, tracking consistency, and market conditions. Industry benchmarks derived from 50+ e-commerce implementations (2023-2025). This is an estimate, not a guarantee.
Furniture & home decor e-commerce
From impossible attribution to optimized investment
We implemented Marketing Mix Modeling with Meta Robyn to solve attribution problems caused by iOS changes and cookie policies. We optimized budget distribution across channels (Google Ads, Meta, Pinterest) and reduced costs while increasing sales.
+41.5%
Sales increase
-11.3%
Cost of Sale
+10.9%
Optimization
Frequently Asked Questions
It depends on the project. A typical BI dashboard starts at β¬3,000. More complex projects (ERP, MMM) start at β¬7,000. We also offer monthly retainers for maintenance and continuous improvement.
BI Dashboard: 2-4 weeks. Recommendation system: 4-6 weeks. Complete 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. If you have data and want to use it better, let's talk.
Turn your data into your competitive advantage
Let's talk for 30 minutes. We'll show you how we can help with no commitment.
