Client's Journey: This case study explores how a leading nicotine product manufacturer in India aimed to enhance customer engagement and retention rates by tailoring their offers.

Encountered Challenges: Despite their market presence, the client faced difficulties in gaining comprehensive insights into customer preferences, hindering their ability to identify profitable customer segments and personalize offers effectively.

Innovative Solutions Deployed: Quantzig collected data from various channels, including hyperlocal networks, point-of-sale data, and social media. Through the utilization of machine learning algorithms, dynamic targeting techniques segmented customers based on preferences and behavior, enabling the delivery of personalized offers.

Impact Achieved: The implemented strategies resulted in a 5% increase in revenue, 15% acquisition of new customers, and a 12% improvement in cross-selling effectiveness.

Insights into the Nicotine Industry: Projections indicate that the global nicotine market will exceed USD 656.1 million by 2028, driven by factors like rising smoking prevalence, increased health consciousness, and the popularity of nicotine delivery systems.

Client Overview: Originating from India, the nicotine product manufacturer aimed to refine their marketing approach through personalized offers but encountered obstacles in accessing timely and precise sales data.

Addressing Challenges: Past attempts at leveraging data analytics were inadequate. The client sought a comprehensive, data-driven approach to understand customer journeys, devise targeted offers, and bolster customer retention efforts.

Implemented Innovative Solutions: Quantzig utilized advanced analytics to understand customer behavior across touchpoints, tailor offers aligned with different journey stages, and enhance revenue through cross-selling. Leveraging sophisticated statistical techniques, customers were segmented effectively, while an autonomous prediction engine accurately classified new customers.

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