Features
Product analytics
Search and analyze prediction data by product — counts, performance, and per-product drill-down.
Product Analytics gives you visibility into how individual products perform within Cadence’s prediction engine. Use it to identify your best-performing products for lifecycle marketing and spot products that may need exclusion.
Accessing product analytics
Go to Product Analytics in the Cadence app sidebar (labeled “Products”). You’ll see a searchable list of all products in your Shopify catalog with prediction-related metrics.
Product list view
The main view shows all products with:
| Column | Description |
|---|---|
| Product name | Product title from Shopify |
| Predictions | Total predictions generated for this product |
| Status | Whether the product is included or excluded from predictions |
Use the search bar to find specific products by name.
Product detail view
Click any product to open its detail page. The detail view shows:
- Prediction breakdown — count by prediction type (replenishment, lapse, cross-sell, subscription)
- Conversion data — how often predictions for this product lead to ConvertCart purchases
- Revenue — attributed revenue from this product’s predictions
- Recent predictions — list of recent predictions involving this product
Use product detail to answer questions like:
- “Which products drive the most replenishment revenue?”
- “Is this sample product triggering unwanted predictions?”
- “How effective are cross-sell recommendations for this product?”
Using product analytics for optimization
Identify top performers
Products with high prediction counts and strong conversion rates are your lifecycle marketing anchors. Ensure these products:
- Are not excluded from predictions
- Have strong ConvertCart copy configured
- Are featured in replenishment and lapse prevention flows
Spot exclusion candidates
Products triggering predictions but never converting may be candidates for exclusion:
- Sample or trial sizes customers don’t reorder
- Gift cards or gift sets
- Limited-edition or seasonal items
- Bundle products where individual components would be more appropriate
Exclude these in Settings → Product exclusions.
Inform cross-sell strategy
Product detail pages show which products appear in cross-sell predictions and their conversion rates. Use this data to:
- Pin high-converting products in Settings for prioritized cross-sell recommendations
- Identify natural product pairings that resonate with customers
- Remove poor-performing cross-sell candidates via exclusion
Relationship to other settings
| Setting | Location | Effect on products |
|---|---|---|
| Product exclusions | Settings | Removes product from all predictions |
| Pinned products | Settings | Prioritizes product in cross-sell recommendations |
| ConvertCart recommendations | ConvertCart → Settings | Controls whether cross-sell suggestions appear on cart pages |
Changes in Settings affect future predictions (next daily cycle). Existing active predictions are not affected until recalculation.
Where to go next
- Settings — product exclusions and pinned products
- Prediction analytics — aggregate performance by prediction type
- ConvertCart settings — recommendation settings