We enabled a leading global retailer to increase revenue through improved targeting and personalisation

The client faced a challenge with outdated predictive models for customer spending, leading to suboptimal conversion rates and missed revenue opportunities. Additionally, inefficient customer segmentation hindered targeted marketing efforts.

ADA helped to enhance its marketing strategies by integrating a sophisticated Purchase Propensity Classification Model, employing Naive Bayes algorithms for predictive analytics, with Salesforce, to streamline and personalize its marketing efforts, significantly sharpening customer targeting and campaign efficacy.

The new strategic adoption of advanced machine learning techniques and CRM integration proved essential in capturing market share and driving growth through improved customer insights and targeted communication.

The implementation of a predictive analytics model and CRM system integration resulted in a substantial increase in marketing efficiency, highlighted by a 50% rise in click-through rates and a 0.8% increase in revenue.