---
title: "Linear A/B Testing Price Test Shopify App Profile"
description: "Find the most profitable price for every product with A/B price testing built for eCommerce. Stop guessing product prices — run price experiments on your store, identify the optimal price point per SKU, roll out winning prices across customer segments, and grow revenue with real-time pricing analytics."
canonical_url: "https://shoplist.co/shopify-apps/linear-price-testing"
markdown_url: "https://shoplist.co/shopify-apps/linear-price-testing.md"
last_updated: "2026-09-16"
entity_type: "shopify_app"
slug: "linear-price-testing"
source: "public Shopify app profile allowlist"
---

# Linear A/B Testing Price Test Shopify App Profile

> Find the most profitable price for every product with A/B price testing built for eCommerce. Stop guessing product prices — run price experiments on your store, identify the optimal price point per SKU, roll out winning prices across customer segments, and grow revenue with real-time pricing analytics.

## Quick answer
Linear A/B Testing Price Test has 2 detected stores in Shoplist. This Markdown profile displays 1 public brand example; it is not a complete customer list.

## Key facts
- Name: Linear A/B Testing Price Test
- Monitoring status: Merchant data available
- Developer: Go Linear
- Developer profile: https://shoplist.co/app-developers/go-linear
- Shopify App Store URL: https://apps.shopify.com/linear-price-testing
- Launch date: May 6, 2026
- Shoplist category: Pricing optimization
- Detected stores: 2

## Pricing summary
Free

## Shoplist app-stack sample
Shoplist has public app-stack evidence for 2 brands using Linear A/B Testing Price Test. This Markdown page displays 1 of those public brands. Detected stores count storefront evidence; public brands count the brand profiles eligible for this public sample. Stores and brands are different populations, so these counts need not match. This page exposes a small sample so agents can cite Shoplist-native install intelligence without treating the sample as the full dataset.

| Brand | Category or market | Products | Active apps | Shoplist profile |
| --- | --- | --- | --- | --- |
| IT Factory Australia | Electronics | 161 | 16 | https://shoplist.co/shopify-brands/itfactoryaustralia-com-au.md |

This table is intentionally a public sample. It does not expose the full brand list, install timeline, contact data, people data, internal scores, crawl provenance, or unstable operational fields.

## App Signals
As of November 9, 2026:

- Stores running it: 2, 0.0% of the stores Shoplist tracks
- Store movement, last 28 days: +0 new stores, +0 returning, −0 removed, net 0 (estimated; 2 days held out of movement; detection coverage changed in this window)
- Primary App Store category: Pricing optimization, #230 (14-day median position)
- Listing reviews: 0
- Top countries: United States: 1 stores

## Public callouts
- A/B test product prices in real time to find your optimal price point
- Target customer segments with winning prices for maximum profit
- Real-time pricing analytics and profit tracking dashboard
## Shopify App Store categories
- Pricing optimization
- Site optimization - Other

## Data note
Profile updated: September 16, 2026. This is the profile revision date, not a guarantee that every store was checked on that date.
Public snapshot built: 2026-11-09 11:25:22.802997\+00
Detection metrics refreshed: 2026-11-09 10:00:00.198215\+00
Public app evidence date: 2026-09-16 11:56:09.3664\+00
This generated Markdown profile intentionally exposes only public, stable app-profile fields and a small public app-stack sample from Shoplist. It excludes private contact data, people data, internal scores, crawl provenance, full datasets, and unstable operational fields.

## Related links
- [HTML app profile](https://shoplist.co/shopify-apps/linear-price-testing)
- [Shopify apps directory](https://shoplist.co/shopify-apps)
- [Shoplist data methodology](https://shoplist.co/data-methodology.md)