Industry

Retail

Transform retail with Hansa Cequity. Boost sales, loyalty, and efficiency through AI-driven insights. Optimise customer journeys, personalise experiences, and drive sustainable growth.

Electronics and Appliances 
Health and Beauty 
Specialty Stores 
E-commerce
Fashion and Apparel 
Home and Furniture 
Grocery and Supermarkets 
Quick-commerce

Simplify Acquiring Customers

We leverage advanced data analytics to identify high-potential customer segments, enabling targeted marketing campaigns that resonate with prospects and drive effective acquisition.

Streamline the Checkout Process 

We optimise checkout efficiency by integrating advanced payment solutions and streamlining workflows. This reduces cart abandonment rates and enhances customer satisfaction.

Increase Average Transaction Value (ATV) 

We utilise data-driven insights to implement personalised upselling and cross-selling strategies. This approach encourages higher spend per customer, leading to increased average transaction values and overall revenue growth.

Enhance Customer Segmentation 

We use sophisticated behavioral analytics to accurately categorise customer segments, enabling personalised marketing efforts that enhance engagement and conversion rates for retailers.

Improve Post-Purchase Service 

We ensure efficient and effective support through call center optimisation and robust customer service systems. This fosters customer loyalty and encourages repeat business.

Boost Purchase Frequency (Cross-sell/Upsell) 

Through personalised marketing and predictive analytics, we assist retailers in implementing effective cross-selling and upselling strategies. This approach drives repeat purchases, increases additional sales, and enhances customer lifetime value.

Personalise Customer Interactions 

We employ predictive analytics and customer data platforms to create personalised experiences tailored to individual preferences. This approach enhances customer satisfaction and builds loyalty for retailers.

Reduce Customer Churn 

We employ churn prediction models to identify at-risk customers and execute targeted retention campaigns. This approach helps maintain a loyal customer base and increase retention rates effectively.

Win Back Lapsed Customers 

We design targeted win-back campaigns using historical data and customer insights to successfully re-engage inactive customers and restore their loyalty.

Case Study

Powering a leading financial services group with advanced analytics for their Insurance vertical
Helping a large conglomerate take steps towards a unified customer experience
Digital Transformation Project for a Large Financial Services Organization