Problem statement
Our client, a leading global fashion retailer, was facing several hurdles with fragmented and disorganized customer data, which was then affecting their marketing and advertising strategies. They approached us with this problem, looking for a platform that would solve these issues that they were facing. The key challenges that they were met with were problems such as disparate customer data sources from omnichannel platforms, complex data integration needs, and stringent data accuracy and compliance policies. MathCo suggested creating CDP platform which would then conduct Customer 360, leading to an easily accessible platform where all the customer data is stored and organized. This would later help them in enhancing their marketing strategies by being able to target specific customer groups.
Impact
- Brought about a 30% reduction in the number of duplicate customer entries.
- Achieved a 95% reduction in the amount of reported data quality issues.
- Improved the target conversion rates by about 15%.
- Enabled a deeper understanding of their customer base which then laid the foundation for their future customer data analytics.
Access the Case Study to Learn More about This Partnership
Optimizing Retail Media Network
Retail media marketing is redefining digital advertising. By integrating advanced data analytics, brands can own intelligent retail media networks that can help them reach their customers easily.
Read morePredictive Cross-Sell Targeting
We worked with a prominent bank to create a product cross-sell recommendation engine based on key life events.
Read morePromo Effectiveness Measurement
The evolution of digital channels has revolutionized pharma marketing, providing expansive outreach for campaigns. Yet, assessing the success of marketing endeavors demands significant investment in fast, accurate, and flexible AI/ML techniques.
Read more