Overview
An assortment gap tracker helps ecommerce merchandising teams compare what they sell today with what shoppers appear to want and what competitors are already making easy to buy. Juno turns that review into a reusable tracker and a short assortment review brief, so category decisions do not live in scattered tabs and meeting notes.
This playbook is built for monthly category reviews, seasonal refreshes, and competitor-heavy markets. It focuses on product, category, feature, and positioning gaps, then separates real merchandising opportunities from thin signals that should be watched or rejected.
Why you should close assortment blind spots
Assortment gaps are rarely obvious from one source. A missing variant may show up in onsite searches, a competitor may own a use case your collection ignores, or product data may hide an attribute shoppers use to compare options. Google Merchant Center's product data specification shows how many attributes can shape how products are understood across shopping surfaces.
Discovery also depends on how shoppers narrow a catalog. Baymard explains that ecommerce filters help shoppers refine a product catalog by attributes such as size, color, brand, and rating in its guide to ecommerce filter UI. If the assortment does not cover the attributes shoppers care about, better copy alone will not fix the decision.
Juno gives the merchandising lead a practical view: which gap matters, what evidence supports it, what action is realistic, and what still needs sales, inventory, margin, or customer data before anyone commits.
Step-by-step
- 1Confirm the brand, storefront, market, category scope, competitor sources, and available shopper demand signals.
- 2Build a baseline of owned products, collections, variants, price tiers, feature coverage, use cases, and current positioning.
- 3Review competitor assortments and public category sources for repeated product, feature, attribute, bundle, proof, or positioning patterns.
- 4Compare those findings with demand signals such as search terms, customer requests, reviews, support themes, and campaign priorities when available.
- 5Classify each source-backed finding as a product, category, feature, positioning, proof, or rejected gap.
- 6Prioritize the tracker by shopper demand, business relevance, competitor pressure, feasibility, timing, and confidence.
- 7Refresh the assortment review brief with decisions ready for merchandising review and data gaps that should improve the next pass.
Frequently asked questions
Does this require a Shopify or analytics connection?
No. The default workflow can start from public storefronts, competitor pages, and user-supplied demand notes. Private commerce data can improve confidence later, but it is not required to install the tracker.
What does this replace?
It replaces a lightweight assortment planning spreadsheet and recurring competitive assortment tracker. It does not replace buying workflows, inventory planning, procurement, or margin modeling.
How often should I run it?
Monthly is the clean default for active categories. Run it manually before seasonal launches, collection refreshes, or campaign planning when assortment decisions need a faster read.
What makes a gap worth tracking?
A useful gap connects a shopper need, owned assortment evidence, competitor evidence, or repeated category signal to a real decision: add, reposition, promote, investigate, reject, or revisit later.