Use case · For strategy & research teams
Map a category’s structure, momentum, and complaints.
Before you build into a space, buy into it, or position against it — read it. The public record of a Shopify category is rich; Shoplist organizes it into something you can actually study.
The problem
Category research goes stale on contact
The usual category study is two weeks of tab-hopping — app listings, review pages, pricing screenshots, LinkedIn — compressed into a deck that starts decaying the day it ships. Six weeks later someone asks “is this still true?” and nobody knows.
The fix isn’t a bigger deck. It’s doing the research inside a system that keeps watching the category after you stop.
The workflow
From category name to living analysis
Four passes over the same public record, each one sharper.
- 1
Map the category
Start from the app directory scoped to a category: who competes, how they price, how reviews are distributed, which developers are behind multiple entrants, and what launched recently.
- 2
Read the merchant complaints
A Market Voice scope across the category leaders clusters up to 24 months of public reviews into pain and praise themes — the closest public proxy for “what would make merchants switch.”
- 3
Watch how the leaders iterate
Change Intelligence shows each leader’s listing history: pricing experiments, repositioning, feature claims. How often and in what direction a leader iterates is strategy you can read.
- 4
Package the findings
Save the competitive set and notable brands to lists, export the segments to CSV, and keep following the category so the research stays alive after the memo ships.
Accurate data
Research-grade and citable
Everything here is public-signal research: listings, reviews, launches, detected stacks. Detected installs are near-perfectly accurate, and every field is labeled by provenance — observed, detected, or inferred — so a memo can cite it with confidence. The full contract is in the data methodology.
FAQ
Frequently asked questions
Get started
Study your next category inside the data.
Map the competitors, read the review themes, and keep the analysis alive with follows.