"We're not maximizing our revenue from existing customers. We need to move beyond batch-and-blast marketing, but we don't have the bandwidth to personalize every interaction. we need something that feels one-on-one, but runs on autopilot."
Problem: Businesses struggle to deliver truly personalized product recommendations at scale. Generic marketing blasts are often ignored, while manually tailoring offers is too time-consuming. This leads to missed upselling opportunities and reduced customer lifetime value.
Solution: Create a WhatsApp-based recommendation engine that uses machine learning to analyze customer behavior, purchase history, and preferences, delivering personalized product suggestions and upselling opportunities.
Data Integration: Connect the solution to the company's CRM, e-commerce platform, and marketing automation tools to gather customer data (purchase history, browsing behavior, demographics, etc.).
Personalized Recommendations: Run a recommendation workflow on this data to predict each customer's likelihood of purchasing specific products.
WhatsApp-Based Delivery: Trigger personalized product recommendations via WhatsApp based on specific events (e.g., a recent purchase, browsing a particular category, an upcoming birthday). Use generative AI to craft personalized messages that feel natural and conversational (e.g., "Hey [Customer Name], noticed you bought our 'Alpha' blender last month from our Dubai store. We've got a new 'Beta' food processor that would be perfect for making dips and sauces! Check it out here: [Link]").
Business Impact:
Increased Sales: Drives incremental revenue by delivering highly relevant product recommendations that customers are more likely to purchase.
Improved Customer Engagement: Creates a personalized and engaging shopping experience, fostering customer loyalty.
Higher Conversion Rates: Delivers recommendations at the right time and in the right context, leading to higher conversion rates.
Increased Customer Lifetime Value: Nurtures customer relationships by providing ongoing value and relevant product suggestions.
Potential KPIs:
Increase in average order value.
Increase in conversion rates from WhatsApp-based recommendations.
Customer engagement metrics (e.g., reply rates, click-through rates on product links).
Customer lifetime value.