Most of the people on your site right now have never bought from you. Fulcrum reads what each one looks at, compares and adds to cart, and fills every recommendation slot with the item that shopper is most likely to act on next.
45 days, free, measured against your own control group.
The leak
Traffic you already paid for leaves without buying, because the store it lands on looks the same for everyone.
Cart abandonment averages 70.22%, and conversion rates fell 5.1% year over year while AOV rose 6%. Baymard 2026, Contentsquare 2026
Every visitor meets the same storefront: the same hero, the same carousel, the same category grid, whether they arrived from paid social for one product or have been comparing three of them all week.
The page assembles around the shopper in front of it. A product page leads with the closest alternatives, then the items other customers bought in the same order, and the cart offers what completes it.
Coverage
All eight are live from day one across product, category, home, search and cart. These five carry the shopper who has not bought from you yet.
Early to mid funnel
Co-view collaborative filtering: products frequently viewed in the same sessions, whether or not a purchase followed. It captures the consideration set a shopper cross-shops before deciding, and it works early because view signal is denser than transaction signal.
Consideration
Item-to-item similarity scored across catalog attributes: type, category, brand, price band, color, material. It needs no prior behavioral history on the anchor item, which makes it reliable for long-tail SKUs, new arrivals and out-of-stock substitution.
Consideration and cart
Collaborative filtering on cross-session co-purchase behavior, aggregated across the whole customer base. It surfaces the adjacent categories that share a customer profile without sharing a single transaction.
High intent and cart
Association-rule mining over historical orders, finding the products that co-occur in the same transaction above baseline rate. It returns complements rather than substitutes, so it is a true basket builder on the product page, in the cart and immediately after an add to cart.
New or low signal
Popularity ranking from aggregate sales velocity and conversion over a trailing window, scoped to the current category so it stays contextual. It sits at the base of nearly every waterfall, which is what guarantees a slot is filled rather than left empty.
Off the site
The suite above works the visitor who is on the site now. The same behavioral profile builds the audiences that reach a high-intent prospect after they leave, and those audiences exist for the anonymous majority too, not only for the shopper who logged in.
Audiences
A segment builder over what Fulcrum already holds: the user, their product interactions, their orders, the channel and attribution behind the visit, session behavior, and email engagement, combined with AND and OR logic. The profile a recommendation is served from is the profile a segment is built from.
Paid media
Those segments export as retargeting audiences, which is what makes paid spend more precise: the audience is defined by what a prospect actually did on your site. One pattern Fulcrum deploys is the behavior-based audience that excludes recent buyers, so budget stops following the people who have already bought.
Last mile
A shopper who browsed and left, or who filled a cart and left, is the closest thing to a decided buyer. Abandon Cart Triggers work that moment on the site and inside the session, and a browse-abandonment trigger carries it into email, which is a separate capability alongside the always-on suite rather than part of it.
Proof
Every reported lift comes from a randomized holdout: a fixed 10% of traffic that never sees personalization for the whole contract term. Lift is the difference between the groups, calculated once at term end and reported conservatively from the lower bound.
Questions
No. Audience in Fulcrum means behavioral: what a shopper is doing and where they sit in the journey, not whether they have identified themselves. Every shopper, identified or anonymous, gets the same fully personalized experience.
It still fills. Slots are filled through priority-ordered waterfall logic, and Top Sellers sits at the base of nearly every waterfall as the popularity fallback, scoped to the current category so it stays contextual. No slot is left empty.
The ordering is placement-specific. A product detail page favors item-to-item relevance, so it runs Similar Products, then Frequently Bought Together, then Customers Also Bought, then Top Sellers as the fallback. A cart page favors basket completion, so it runs Frequently Bought Together, then Customers Also Bought, then Recently Viewed, then Top Sellers.
Every recommendation relationship across your catalog and purchase graph is rebuilt from scratch each night. A new product can surface in recommendations within 24 hours of being added, an out-of-stock item drops out by the next morning, and a price change shifts what counts as similar without anyone re-running anything.
Fulcrum connects to your catalog and purchase graph, configures every algorithm against it, and shows you the placements before anything goes live. After that the suite recomputes nightly and adjusts in real time as behavior comes in. Nobody on your team operates it.
The reported number comes from a permanent control group running alongside the personalized experience, so you read each lift as a difference against your own non-personalized traffic instead of against last year.
45 days, free. The full suite live on your store, and the same reporting a paying client gets. Cancel any time, nothing owed.
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