Overview
A SKU performance analyzer helps ecommerce teams explain why a product is growing, slipping, or behaving strangely. Juno combines product, order, inventory, traffic, and page evidence to separate demand, conversion, stock, pricing, margin, and merchandising causes.
The output is a SKU diagnosis table plus a short action report. It is built for category managers, ecommerce leads, growth teams, and merchandisers who need to decide whether to restock, rewrite, promote, pause, bundle, or investigate.
Why you should diagnose before changing the merch plan
SKU performance can mislead you if the cause is not separated. A product may look weak because it was out of stock. It may look strong because a discount pulled demand forward. A PDP may convert poorly because shoppers cannot choose a variant, not because the product lacks demand.
Shopify's reporting guidance shows how store analytics can be split across sales, behavior, customers, and inventory in Shopify reports. Juno turns those scattered signals into a commercial diagnosis.
The result is a ranked action plan rather than a pile of metrics. Each recommendation states what evidence supports it and what should be measured next.
Step-by-step
- 1Confirm the SKU or product group, review window, business question, and available Shopify and analytics context.
- 2Compare sales, units, revenue, conversion, inventory, stockouts, discounts, margin, and returns where available.
- 3Review traffic sources, product-page quality, collection placement, reviews, price framing, variants, and competing products.
- 4Classify the likely cause, such as demand change, traffic quality, stock constraint, page friction, promo effect, or merchandising issue.
- 5Rank recommended actions by impact, confidence, effort, and risk.
- 6Deliver a diagnosis table and short report with actions to take now, test next, or validate with more data.
Frequently asked questions
Can this analyze more than one SKU?
Yes, but keep the group tight. Related variants or a small product family are better than a broad category with mixed causes.
What if inventory data is missing?
Juno can still analyze visible and analytics evidence, but it will mark stock and availability conclusions as lower confidence.
Does it recommend discounts?
Only when the evidence supports price or promo sensitivity. It will not use discounting as a default fix.
