Niblin
Product Analytics

Your best seller is out of stock and your worst seller has 200 units sitting in a warehouse

Niblin tracks product performance, product page conversion, and inventory risk across your entire catalog. When a SKU starts trending, you see its days of cover shrinking. When dead inventory piles up, you get the reason and what to do about it.

Built for D2C brandsDaily briefing, in-app and by email
Product performance with inventory risk flags
Capabilities
Product ranking by revenue contribution and sell-through

Product Performance

See which products are actually making you money, not just selling

Revenue per SKU is a vanity metric if you don't know the margin. Niblin ranks products by revenue contribution, sell-through rate, and return rate so you can tell the difference between a "best seller" that's generating profit and one that's generating returns.

  • SKU-level revenue, units sold, and sell-through rate, updated daily
  • Return rate by product so you stop promoting items with 25% return rates
  • Revenue contribution percentage: see which products drive 80% of your top line
  • Variant-level performance: does the blue version outsell the red by 3x? Now you know.
Inventory risk with days of cover and dead-stock reasons

Inventory Intelligence

Days of cover, per SKU, without a spreadsheet

The cost of a stockout is invisible on your P&L but devastating to your revenue. Niblin calculates days of cover for every SKU at its current run rate, flags low stock before it runs out, and explains why dead stock is sitting there with a recommended action for each.

  • Days of cover for every SKU at the current run rate
  • Stockout risk and low-stock alerts so a best seller never runs dry unnoticed
  • Dead stock with the reason behind it and a recommended action
  • Supplier lead times next to days of cover, so you know when to reorder
Product conversion funnel with rising and declining products

Product Conversion

See which product pages turn visits into orders

A product can have great traffic and still not sell. Niblin joins GA4 with your orders to show conversion for every product, and flags which products are rising and which are declining so you know where to push and where to fix the page.

  • GA4 product conversion: views, add-to-cart, and purchases per product
  • Rising and declining products, called out automatically
  • Option-grain assortment: performance by size, colour, and other option values
  • Category deep dive with category-level basket affinity
AI analyst answering which products are bought together

Basket Analysis

Which products sell together, and which ones you should be bundling

Customers who buy one product often come back for its companion. Ask the AI analyst which products are bought together and it answers from your actual order data, so bundles and cross-sells are backed by behavior, not assumptions.

  • Pair-wise co-purchase answers from real order data in the AI analyst
  • Support and confidence for each product pair
  • Category-level basket affinity in the category deep dive
  • Average items per order trends: see if your cross-sell efforts are actually working
Vendor scorecard with revenue share and return rate

Vendor Analysis

See which brands and vendors carry your catalog.

Every product in Shopify has a vendor. Niblin rolls sales up by vendor so you can compare them on revenue, units, orders, return rate, and cancel rate, see how dependent you are on your top vendor, and spot vendors whose products have stopped selling.

  • Vendor scorecard: revenue, units, orders, AOV, return rate, and cancel rate against the prior period
  • Vendor concentration curve showing how much revenue rides on your top vendor
  • Vendor trend over time, so a fading vendor shows up early
  • Dormant vendors: still in your catalog, no recent sales
Get started

Your catalog has stories to tell. Start reading them.

Connect Shopify in 15 minutes. See which products are winning, which are dying, and which are running low on cover.

Built for D2C brandsDaily briefing, in-app and by email