AI recommendations built on real shopper behavior. Grow average order value, conversion and revenue — on your site, in your app and offline, without adding load to your engineering team.
Nine levers for average order value, conversion and revenue — from ML forecasting to omnichannel delivery.
Gravity Field recommendation algorithms forecast user behavior from what people actually do on your site or in your app: product views, add-to-carts and completed orders.
Beyond that, the algorithms match the behavior of different users against each other and predict the next purchase when behavioral patterns overlap.
Gravity Field lets you run a different recommendation strategy at each stage of the funnel, depending on page type and user type. Show bestsellers or personal picks on the homepage, and recently viewed items or cross-sell recommendations in the cart.
Hook new visitors with promotional offers, and show returning ones products based on how they behaved in previous sessions.
Test different combinations of recommendation strategies inside a single widget and find the ones that perform best.
With Gravity Field you can assign a separate strategy to every slot of a product carousel manually, or let the platform predict the optimal mix automatically.
Gravity Field lets you configure merchandising rules across a wide set of parameters: categories and subcategories, price range and product margin, the price preferences of individual users and more.
Using attributes from your product feed you can include specific products and groups in a block, exclude individual items or entire categories, and pin particular products to particular slots.
Rules can be targeted at user segments and categories, tested against each other, and managed entirely by a business user — no developer time required.
Bundles are merchandising rules at an advanced level. Gravity Field reproduces the logic of assembling a basket by layering rules on top of algorithms — a “bought together” widget on a phone page can serve screen protectors in the first slot, cases in the second, earbuds in the third, and so on.
Recommendations with smart bundles improve the shopping experience, lift average order value, conversion and revenue, and bring customers back to your site, app and stores.
With Gravity Field you can test not only the content of recommendation blocks, but how they appear on the page.
Place blocks above the fold, mid-page or at the bottom, test size and design, experiment with the number of slots, and get analytics on the impact of every change.
Adapt category listings and search results pages to user interests and behavior: re-sort products according to personal preferences and other algorithms, put the most relevant items for key segments in the first positions, or promote sponsored offers likely to interest them.
Gravity Field can store and process data about customers’ in-store purchases and use it when assembling recommendation blocks.
Combining offline and online data makes the algorithms more accurate and the recommendations more effective.
Gravity Field algorithms work at every touchpoint: on the web, in the app and even offline. Recommendations can be integrated into self-service kiosks, sales assistant devices, call-center CRM and point-of-sale software.
They also make CRM marketing more effective: embed recommendations into email campaigns and push notifications to convert more of that traffic into orders.
A 30-minute demo on your own categories, or a review of your current blocks with a plan to grow average order value.