Re-engage inactive users with personalized product recommendations based on their browsing history and interests.
A product discovery campaign is designed to help customers explore your catalog beyond their initial visit. By targeting inactive users with curated recommendations, such as trending products, bestsellers, or personalized picks, you can reignite interest, increase browsing sessions, and boost conversion rates. For eCommerce brands, these campaigns expand visibility of your catalog while nudging users back into the shopping journey.
Your next favourites are here! We picked these just for you based on what you loved. Explore what's trending β [CTA]
Back for more? We found some new arrivals that match your style perfectly β [Shop Now]
Missing you around here! Check out these personalized picks we curated just for you β [Discover Now]
Final discovery: Don't miss these trending items that match your interests β [Explore Collection]
With Zenie AI, you donβt need to manually build product recommendation lists. A single prompt identifies inactive visitors and delivers curated product picks across Email and WhatsApp, automatically tailored to your catalog.
Trigger 3β5 days after inactivity. Send trending products, bestsellers, or curated picks to re-engage users
Product discovery works because it provides personalized value without being pushy. Users see relevant products they might actually want rather than generic promotions, making them more likely to re-engage with your brand.
Send discovery messages 3-5 days after inactivity. This timing catches users before they completely forget about your brand but after enough time has passed to make the recommendations feel fresh.
Base recommendations on browsing history, previously viewed categories, time spent on product pages, and similar customer behavior patterns. Avoid showing products they've already purchased recently.
Yes, use both channels based on user preferences. WhatsApp works well for quick, visual product showcases while email allows for more detailed product information and multiple recommendations.
Track reactivation rates, click-through rates on product recommendations, conversion rates from discovery messages, and overall customer lifetime value extension from re-engaged users.