Case Study: Data Cleansing

Data Cleansing

The Challenge

A global consumer goods company offered free product samples through its website but faced significant inefficiencies. Bots and fraudulent requests abused the system, while customers frequently entered incorrect details.

This led to wasted shipments, high return rates, and unnecessary costs.

Our Approach

We designed and implemented a bespoke data validation and cleansing solution capable of processing millions of records annually. The system performed checks both in real time and after submission, including:

  • +Duplicate request detection
  • +Fraud and bot filtering
  • +Profanity checks
  • +Banned postcode blocking
  • +Postal and email validation

The Impact

The solution reduced postal returns from 21% to 0.09%, eliminating waste and improving efficiency. By stopping fraudulent and invalid requests, the client ensured samples reached genuine customers, protecting both budgets and brand trust.


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Poor data costs you money... and makes your automations difficult. Let's fix it!

Raúl Rubio, Technology Director

Confidentiality Matters

Out of respect for our client agreements, we never disclose names or brands. This discretion is part of our DNA: we deliver, our clients take the credit.