Case Studies

We helped a leading retail brand bolster revenue with advanced predictive analytics and CRM integration

Data & AI
Data Analytics
India
Retail

ADA boosts a leading retail brand with predictive analytics & CRM integration, leading to a 50% rise in click-through rates and a 0.8% increase in revenue

The Results

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The Execution

The client faced a challenge with outdated predictive models for customer spending, leading to suboptimal conversion rates and missed revenue opportunities.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.

0.8%

Increase in Revenue

▲50%

Increase in Click through rates (CTR)

~200 increase
Increase in Revenues

Case Studies

We helped a leading retail brand bolster revenue with advanced predictive analytics and CRM integration

Data & AI
Data Analytics
India
Retail

The Challenge

M1 needed to rethink how customers pre-ordered the Samsung Galaxy S25. The traditional experience of long queues, complex forms, and multiple customer service calls wasn't delivering the seamless journey their customers expected from a leading Singapore telco.

What we have achieved

~200 increase
Increase in Revenues

The Results

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The Execution

The client faced a challenge with outdated predictive models for customer spending, leading to suboptimal conversion rates and missed revenue opportunities.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.

0.8%

Increase in Revenue

▲50%

Increase in Click through rates (CTR)