Quick answer
Bundle attach rate measures how often shoppers who see a bundle offer take the bundle path — selecting FBT add-ons, buying fixed kits, or choosing QB tiers. KitForge analytics provides views, interactions, add-to-cart, and added revenue to compute and improve attach rate per offer.
- Attach rate = bundle path taken / widget views (per offer type).
- KitForge analytics supplies views, interactions, ATC, added revenue.
- Pair attach rate with added revenue per view for prioritization.
- Change one merchandising lever per test cycle.
Attach rate vs AOV
High attach with low add-on value barely moves AOV. Pair attach rate with average added revenue per interaction to prioritize offer improvements.
Diagnosing low attach
Low views: SEO/traffic problem, not bundle problem. High views, low interactions: widget placement or preset issue. High interactions, low ATC: pricing or discount clarity issue. High ATC, low revenue attribution: cart property stripping.
- Check app embed if views are zero
- A/B display style if interactions lag
- Test checkout if ATC without attributed revenue
Final recommendation
Measure bundle attach rate in KitForge per offer — define numerator by offer type, benchmark against added revenue efficiency, and iterate display, pricing, and placement with data.
If you want this kind of offer to feel native to the buying journey, Kitforge Bundles is built around that exact problem: turning related Shopify products into clearer bundle offers before the shopper reaches checkout.
FAQ
Does attach rate include mobile and desktop?
KitForge analytics aggregates storefront behavior — segment by testing mobile PDP separately if theme differs.
Can I compare attach across fixed kit vs FBT?
Compare within type first — kit attach and FBT attach measure different shopper intents. Use added revenue per view to compare across types.