Elevating Customer Engagement in the Nicotine Industry: A Case Study in Dynamic Segmentation

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The case study delves into how Quantzig empowered a prominent nicotine product manufacturer in India to enhance customer engagement and retention rates through personalised offers. By utilising dynamic segmentation and machine learning algorithms, the client achieved significant improvemen

Originally published by Quantzig: How We Helped Leading Nicotine Product Manufacturer Enhance CX Through Personalized Offers

 

Summary:

This case study delves into how Quantzig empowered a prominent nicotine product manufacturer in India to enhance customer engagement and retention rates through personalised offers. By utilising dynamic segmentation and machine learning algorithms, the client achieved significant improvements in revenue, customer acquisition, and cross-selling.

 

Challenges:

Despite a strong market presence, the client struggled to gain comprehensive insights into customer preferences, hindering their ability to identify profitable segments and personalise offers. The challenge was addressed through dynamic segmentation and personalised targeting.

 

Solutions:

Quantzig collected data from hyperlocal networks and integrated it with diverse datasets, including point-of-sale, marketing, sales, and social media data. Through machine learning algorithms and dynamic targeting, customer segments were identified based on preferences and buying behaviour, enabling personalised offers.

 

Impact Delivered:

- 5% increase in revenue

- 15% new customer acquisition

- 12% improvement in cross-selling

 

Industry Overview:

The global nicotine market is expected to reach over USD 656.1 million by 2028, with a CAGR of 9.1% from 2022 to 2028. Factors driving growth include the rising prevalence of smoking, awareness of health hazards, and the popularity of nicotine delivery systems like e-cigarettes.

 

About the Client:

An India-based nicotine product manufacturer aimed to enhance customer engagement by personalising offers. The challenge lay in obtaining timely and accurate sales data from a vast network of hyperlocal stores, hindering their ability to understand customer preferences.

 

Challenges Faced by the Client:

- Difficulty in obtaining timely and accurate sales data from hyperlocal stores

- Lack of visibility into customer buying behaviours and preferences

- Inability to provide personalised offers due to a lack of customer insights

 

Solutions Provided:

Quantzig developed a robust data collection and analysis framework, enabling real-time gathering and interpretation of sales data from hyperlocal stores. This enhanced visibility allowed the manufacturer to tailor marketing strategies and offers based on individual customer preferences and purchasing history.

 

Conclusion:

This case study illustrates how Quantzig's dynamic segmentation and personalised targeting strategies transformed the client's marketing approach, leading to improved customer engagement, increased revenue, and enhanced brand loyalty in the competitive nicotine industry.

 

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