A bundle is a product offering that combines two or more individual items sold together as a single package, typically at a lower total price than buying each item separately. Bundles can be fixed (a pre-defined set of products marketed as a kit or routine) or dynamic (the customer selects items to combine for a discount). Common bundle types in D2C ecommerce include starter kits, skincare routines, supplement stacks, gifting sets, and "buy more, save more" quantity bundles.
Bundle Savings = (Sum of Individual Product Prices) – (Bundle Price)
Bundle Discount % = (Bundle Savings ÷ Sum of Individual Product Prices) × 100
If a skincare trio costs ₹1,800 when bought individually but ₹1,499 as a bundle:
Savings = ₹1,800 – ₹1,499 = ₹301
Discount = (301 ÷ 1800) × 100 = 16.7% off
Why Bundle Matters for Ecommerce
Bundling increases average order value (AOV) by selling multiple products in a single transaction. Instead of a customer buying one item at ₹499, a well-designed bundle sells them three items for ₹1,299 — a ₹800 increase in revenue per transaction, with only one fulfillment operation. The per-unit shipping cost drops, the per-customer acquisition cost is amortized across more products, and the gross margin on the incremental items is typically higher.
Bundles also solve a discovery problem. Many customers of a skincare or supplement brand buy one product and never explore the rest of the range. A bundle introduces them to complementary products in a low-risk way ("it's already in the kit — let me try it"). Customers who use multiple products from the same brand have significantly higher repeat purchase rates and CLV than single-product buyers.
For Indian D2C brands, gifting bundles are a particularly high-value category. Diwali, Raksha Bandhan, birthdays, and anniversaries all create demand for curated, presentable gift sets — and customers are willing to pay a premium for the curation and packaging.
Real-World Example
mCaffeine's "Complete Coffee Routine" bundle packages their coffee face wash, coffee scrub, and coffee body lotion together at ₹999 versus ₹1,397 if bought individually — a saving of ₹398 (28%). The bundle is marketed as a full morning routine, not just a discount. This framing is important: it sells the experience and outcome (a complete caffeine-powered routine), not just the price reduction. New customers who start with the bundle tend to have higher retention rates because they've been introduced to three touchpoints of the brand simultaneously.
How to Improve / Optimize Bundle
- Build bundles around a use case or outcome. "Morning Glow Routine" is more compelling than "3 Skincare Products." The bundle should tell a story about what the customer's life looks like after buying it.
- Show the savings clearly. Strike-through pricing ("Was ₹1,397, Now ₹999") makes the discount immediately visible. Customers need to feel the discount is meaningful — typically 15–25% — to see the bundle as better value than individual purchases.
- Create gifting-specific bundles with premium packaging. During festive periods, add a gift box option or complimentary gift wrapping to existing bundles. The marginal cost of packaging is small; the willingness to pay for a "gift-ready" presentation is significant.
- Test bundle composition. Not every product combination makes an intuitive bundle. Use purchase history data to identify which products customers already buy together — then formalize those as bundles with a discount.
- Feature bundles prominently on the homepage and category pages. Bundles are often buried in navigation. Customers who don't see them won't buy them.
Bundle in A/B Testing
Bundle pricing, composition, and page placement are all strong A/B test candidates. CustomFit.ai lets you test whether a "suggested bundle" shown on a product page (with the bundle price highlighted) increases AOV compared to a control showing only the single product, and which bundle composition produces the highest acceptance rate.
Run smarter A/B tests with CustomFit.ai — 14-day free trial, no credit card required.