Stop guessing which products to recommend. Pre-built strategies let you activate Profit Maximizer, Discovery Engine, or Cross-Sell Machine with one click — tuned by real ecommerce data.
Each strategy adjusts the 6 ranking signals in your recommendation engine — co-purchase patterns, semantic similarity, social intent, profit margin, conversion history, and popularity.
Cranks margin weight to 35% and suppresses items below 20% margin. Your recommendations stop leaving money on the table.
Popularity at 30%, conversion at 25%. Shows products with real sales traction to new visitors. Great for stores with strong hero products.
Vector similarity at 40%. AI embeddings surface semantically related products shoppers wouldn't find browsing. Perfect for gift shops and lifestyle brands.
Co-purchase at 45%. Recommends products real customers bought together — based on graph analysis of actual order data, not guesswork.
Margin at 40%, popularity at 25%. Boosts overstocked products that maintain healthy margins. Turns your rec engine into a clearance system.
Intent signals at 30%. Surfaces products people are actively discussing and recommending on Reddit and forums. Best for trending products.
Browse the 6 pre-built strategies and pick the one that matches your store's goals. Each strategy shows exactly how the 6 recommendation signals will be weighted.
One click writes all 6 signal weights atomically to your store configuration. The change takes effect immediately — your next recommendation request uses the new weights.
The revenue attribution dashboard shows exactly how the strategy change affects clicks, conversions, and attributed revenue. Switch strategies any time — the previous config is saved.
Most product recommendation engines give merchants a set of sliders and expect them to figure out the optimal configuration. This leads to two outcomes: merchants leave everything at defaults (leaving money on the table), or they spend hours tweaking settings without knowing what actually moves the needle.
SellerZoom's pre-built strategies solve this by encoding proven configurations into one-click templates. Each strategy was designed to optimize for a specific business goal — profit margin, average order value, product discovery, or inventory turnover.
Unlike simple "customers also bought" systems, SellerZoom scores every product recommendation using six distinct signals: co-purchase frequency (what people actually buy together), vector similarity (AI-detected semantic relationships), social intent (what people are discussing on Reddit and forums), profit margin (your actual product economics), conversion history (what converts at the highest rate), and popularity (what's trending in your store). Each strategy adjusts the relative weight of these signals to optimize for a different outcome.
The Cross-Sell Machine strategy works best when your products have natural complements — chargers for phones, cartridges for printers, toppings for pizza. It uses actual co-purchase data from your order history to find these relationships. The Discovery Engine strategy is better when you want shoppers to explore your catalog more broadly. It uses AI embeddings to find semantically related products that shoppers might not find through traditional category browsing — a leather journal recommended alongside a fountain pen, or hiking boots alongside a waterproof camera case.
If you're unsure which strategy to pick, start with Profit Maximizer. Most stores have uneven margins across their catalog, and their recommendation engine treats all products equally. By increasing the weight of the margin signal, Profit Maximizer ensures that when two products are equally relevant to a shopper, the higher-margin one gets the recommendation slot. This typically improves profit per recommendation by 15-25% without any noticeable change in click-through rate.
Strategies aren't permanent — they're designed to be swapped based on your business cycle. Run Clearance Blitz during end-of-season transitions to move excess inventory. Switch to Bestseller Amplifier during peak traffic events like Black Friday when you want proven converters in front of every visitor. Use Intent-Driven when your products are trending on social media and you want to capture that momentum.
Pick a strategy, activate it in one click, and watch your recommendation metrics change within 24 hours. No manual tuning required.
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