Product Bundles
Increase average order value by recommending curated bundles to users browsing across multiple product categories.
What are Product Bundle campaigns?
Product Bundle campaigns target users with multiple product interests who viewed >1 product category by recommending value bundles combining items from categories viewed. This AOV strategy leverages cross-category browsing behavior to suggest logical product combinations, increasing basket size through strategic bundling recommendations that provide genuine customer value.
Why Product Bundles Matter
Challenges
Opportunities
Outcomes
Higher Average Order Value
Increased Cross-Category Sales
Better Customer Value Perception
Who is it for?
Audience
Exclusions
How it Plays Out
A sample sequence for this use case.
Better together! Bundle your favorites and save big. See what we made for you → [CTA]
Mix + match = savings! Tap to check your custom bundle → [Link]
Your personalized bundle is still waiting - complete the set → [Shop Bundle]
Final reminder: Custom bundle offer expires soon → [Get Bundle]
Best Practices
- Create bundles based on actual browsing behavior rather than generic category combinations to ensure relevance.
- Offer meaningful savings (15-25% off individual prices) to make bundling feel like a smart financial decision.
- Limit bundles to 2-4 items to avoid overwhelming customers while maintaining focus on key complementary products.
Product Bundles Examples & Prompts
Channel Examples
Automate with Zenie Prompts
Analyzing cross-category browsing and creating relevant bundles requires sophisticated behavioral tracking and product relationship mapping. With Zenie, you can automatically send personalized messages on bundling opportunities to customers who have purchased similar products.
Explore Similar eCommerce Marketing Strategies
FAQs
Why are product bundle campaigns effective for increasing eCommerce AOV?
Product bundle campaigns work because they solve multiple customer needs simultaneously while providing clear value through bundled pricing. D2C marketers see higher conversion rates when customers can get everything they need in one coordinated purchase rather than shopping separately.
How should eCommerce brands create effective product bundles?
D2C businesses should analyze actual customer browsing and purchase patterns to identify natural product combinations. Focus on items that solve related problems or complement each other functionally rather than random category pairings for eCommerce marketers.
What discount levels work best for product bundle campaigns?
Meaningful savings of 15-25% off individual item prices work most effectively for bundle campaigns. D2C brands should ensure discounts feel substantial enough to motivate bundled purchases while maintaining healthy profit margins.
Should product bundles be personalized based on browsing behavior?
Yes, eCommerce businesses see significantly better results with personalized bundles based on actual customer interest rather than generic combinations. D2C marketers should leverage browsing data to suggest bundles that match demonstrated preferences and needs.
How do eCommerce businesses measure product bundle campaign success?
Track bundle conversion rates, average order value increases, cross-category purchase rates, and customer satisfaction with bundled purchases. Monitor whether bundle buyers show higher repeat purchase rates and lifetime values compared to single-item purchasers for D2C marketers.