Finance BI

We build modern data infrastructure on Azure

Building on the cloud is hard. But it can give your company the flexibility it needs to do business in this fast changing world.

We can help you build a solid, flexible and cost-effective solution.

We are experts in Microsoft Azure and Databricks solutions, and have helped over 50 companies in their transformations across the years.

Ready for data to speed up your business instead of slowing it down? Let’s chat

Owner and Azure Data Consultant

Data Walnut

You worked hard to get your B2C e-commerce store off the ground. And now it’s doing well

But what is the potential of your store: how much better can it do ?

What would happen if you knew the customer lifetime value and could segment your customers ? 
And then find the best action for each segment?
What would happen if you knew the ROI of your marketing campaigns ?
What would happen if you knew the customers at risk of churn and how to retain them ?

You already have all the data, now it’s about getting your data to work for you.

Let’s take your store to the next level together

Founder

L'Oréal

Data and Finance Manager

Unilever

Strategy Analyst

Golder Associates (Italy)

Controller

Academy of Math and Science (USA)

Accountant/Controller

CPA turned Data Engineer: cut data crunching by 10 hours/week with automated processing and data quality checks ⚡️Azure - Databricks - Power BI

I can help you leverage your data in 2 ways:

1- Consulting activity: Azure data consulting
I help companies build a modern data infrastructure (data lake, data warehouse) on the Azure cloud.
Expertise: Azure, Synapse, Databricks, SQL, Python, Power BI

2- Data product: help e-commerce sites with customer retention
My solution helps e-commerce sites segment their customers, approach the segments differently and increase retention.
Expertise: Customer lifetime value, customer retention, customer upsell, B2C e-commerce.

Luca Zanna

Michel Brok 🎯

Marketing Automation & Data Expert | Helping retail & CPG to drive customer engagement at scale.

You’re scaling your ads,  but you don’t trust the numbers you’re seeing.

And here's the real problem: 

- If your tracking is wrong, your signals are wrong.
- If your signals are wrong, the algorithm learns the wrong buyers.
- And if the algorithm learns the wrong buyers…

scaling becomes impossible.

Most people think it's just a 'tracking' issue. It's not.
It's an 'algorithm' training issue. 

What I do:

I train your ad algorithms to find your best buyers by fixing the data they learn from and upgrading the signals they receive.

When signals are complete, consistent and accurate, your ads stop guessing and start learning.

What this looks like:

- Accurate conversion tracking across Meta, Google, TikTok & Pinterest
- Smarter buying signals (customer data, click IDs, first-party events)
- Server-side setups (Stape Top Partner)
- Better matching, higher Event Quality, cleaner attribution
- Eliminating signal loss caused by browsers, consent mode & plugins

What clients typically see:

- 20-50% more Meta sales
- 13–21% more Google Ads sales
- Lower CAC
- More stable scaling
- Decisions you can actually trust
- ROAS that finally makes sense

If this sounds familiar:

- Your dashboards don't add up
- You feel like you're scaling blind
- Meta says one thing, Shopify says another
- Results swing for reasons you can't explain

Send me a message.

Co-Founder

AldrichX is a data-driven marketing agency that helps 6+ figure fashion eCommerce brands to grow their business whilst they can keep focussing on building their brands.

taplio

The Battle

Luca Zanna

Michel Brok 🎯

Followers

Posts

Engagements

Likes

Ready to grow your LinkedIn presence?