Nacelle

Transform Your Online Store with AI-Driven Personalization

freemium· for mid-market

Nacelle runs AI merchandising on top of an existing storefront, adjusting product recommendations, cross-sells, and upsells based on live shopper behavior. The install is a single tag, so merchandising and growth teams at mid-market DTC brands can deploy personalization without engineering cycles. Buyers evaluating it are typically replacing manual collection sorting or static "you may also like" widgets, and want measurable lift on PDP and cart conversion without a full replatform.

> pick this if

Pick this if you're a mid-market Shopify DTC brand that wants AI-driven PDP, collection, and cart personalization live in a week without engineering, and you're replacing manual sorting or static recommendation widgets.

> look elsewhere if

Look elsewhere if you're on a headless or custom stack, need deep segmentation, server-side control, or complex B2B merchandising logic, or operate at enterprise scale where Nosto, Bloomreach, or Dynamic Yield are the realistic shortlist.

> Nacelle is built for

platform-agnostic

> what it does for ecommerce

Deploys AI personalization via one-click install, no dev work
Targets shopper behavior to reorder PDP and collection pages
Generates cross-sell and upsell slots tied to cart context
Fits merchandisers replacing manual sorting and static recommendation widgets
Offers freemium entry point for mid-market DTC brands testing lift

> how you'd use it

Mid-market DTC apparel brand, $8–20M GMV, 2–4 person growth/merch team
Replacing manual collection sorting and the default Shopify 'related products' widget on PDPs, installed via single tag without pulling in the dev team
→ Collection pages re-rank against live behavior; typical deployments target 5–12% PDP-to-cart lift within the first 60 days
Mid-market beauty or supplements brand, $3–15M GMV, single merchandiser plus an agency
Running cart-context cross-sell and upsell slots to raise AOV without building a bundling engine or hiring a CRO agency
→ AOV gains in the 3–8% range from cart-aware upsells, with merchandiser time redirected from manual slotting to assortment and lifecycle work
Shopify-native DTC founder team, sub-$3M GMV, no in-house engineer
Testing personalization on the freemium tier before committing budget, comparing lift against static 'you may also like' blocks
→ Validates whether behavioral reordering beats their current merchandising before moving to paid tier or a heavier platform like Nosto or Rebuy

> Nacelle use cases

> alternatives to Nacelle in our index

by shared use-case