Turn shopper intent into relevant products.
Catalog-aware recommendations with merchant controls, scheduled campaigns, evidence-gated optimization, storefront placement, and conservative value reporting in one Shopify workflow.

Recommendation quality you can inspect.
The preview shows the job Recommend performs—not an abstract AI layer.
Rank from live catalog context.
Recommend narrows the eligible catalog using product context, behavioral signals, availability, and the strategy the merchant selects.
Explore the product →Shape the eligible set before ranking begins.
Control vendors, product types, price bands, new arrivals, inventory levels, collections, exclusions, and pinned products independently for product, cart, and collection placements.
Review merchandising controls →See what recommendations influence.
Review views, clicks, attributed orders, and attributed revenue with the attribution window and limitations stated clearly.
Understand reporting →More than a recommendation box.
Recommend now helps merchants operate, measure, and improve the full recommendation program.
Control every placement
Use placement-specific vendor, type, price, arrival-age, inventory, collection, exclusion, pin, heading, count, and strategy rules.
Launch campaigns faster
Start with launch, seasonal, or clearance templates and schedule rule windows while existing safeguards remain in force.
Optimize with a safety net
Run placement experiments, wait for meaningful evidence, record the decision, and restore the previous strategy when needed.
See where value comes from
Review product, collection, placement, campaign, and attributed-revenue reporting without double-counting assisted revenue.
Four jobs. One focused app.
Synchronize
Keep active products and availability available to the ranking workflow.
Configure
Set eligibility and presentation rules in bulk for each storefront placement.
Place
Add independent recommendation blocks to product, cart, and collection templates.
Improve
Use product, collection, campaign, placement, and value reporting to guide the next controlled change.
Use the store data needed for the product—and no customer contact profile.
The app’s privacy notice defines the permitted catalog, order-line, and recommendation-event data used to operate and measure Recommend.
Review the privacy boundary →Install, approve, and subscribe through Shopify.
Mainspring does not collect a store domain or start an app charge on this public website.