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How D2C brands are personalising the shopping experience
- Direct-to-consumer (D2C) brands are utilizing data analytics, AI, and machine learning to craft highly personalised shopping experiences.
- Personalisation means data analysis of customers' shopping patterns, social media activity, and browsing history to offer products matching personal preferences.
- Dynamic content ensures a personalised homepage with content changeable for every visitor based on previous interactions.
- D2C personalised marketing campaigns create individualised messages for customer segments based on purchase history, demographic information, and browsing activity.
- Interactive quizzes and surveys are used for obtaining customers’ profiles and correcting their queries. These quizzes the shopping journey by finding the right products for each customer.
- Loyalty programmes have become personalised because D2C brands are trying to meet individual preferences. By giving exclusive discounts on items that match customer purchases, brands are providing a personalised experience.
- Personalisation is driving higher conversion rates for businesses, increasing revenues, reducing acquisition costs, and improving marketing ROI.
- Personalisation is also improving customer satisfaction and loyalty by making them feel valued and ultimately driving word-of-mouth recommendations.
- D2C branded ecommerce market size in India is expected to reach $60 billion by FY27 with personalised shopping being one of the biggest drivers in shift towards digital mediums.
- As D2C market continues to grow in India, brands who participate in personalised marketing will be the most successful.
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