StoreRadar field note · merchandising personalization · visual merchandising

virtual try-on, personalization, merchandising, and ecommerce optimization software: the Shopify cohort worth testing

Executive summary

Category buzz can make competing tools look interchangeable. The commercial question is where each product fits in the stack and whether a measurable store cohort is worth pursuing.

Data insights

In the StoreRadar snapshot observed September 1, 2026, the relevant technologies are Visually, Rebuy, Tolstoy, and Searchanise. Their storefront counts give a growth team a concrete way to separate the broadest signal from narrower tools.

Visually is the scale anchor in this snapshot at 231,306 observed storefronts, while Rebuy appears in a smaller footprint of 4,136. That spread gives a growth team a practical test: start with the broad adoption signal, then see whether the narrower cohort produces better-fit conversations.

Use the largest cohort to test message-market fit at volume, then use the narrower cohorts as comparison cells: keep the offer and CTA constant, change the stack signal, and measure qualified sample requests. The useful output is a difference in response quality, not a longer spreadsheet.

How should this comparison be read?

“Scale cell” means the largest observed footprint in this snapshot. “Comparison cell” marks a narrower cohort for a matched test; observed footprint is not product efficacy, market share, or proof of buying intent.

Technology signalObserved storefrontsProposed role in a measured test
Visually231,306Scale cell
Rebuy4,136Comparison cell
Tolstoy1,165Comparison cell
Searchanise1,156Comparison cell

Cohort detail

Visually · Ad signal

  • No detected public ad pixels: 180,513 observed storefronts
  • Detected public ad pixels: 50,793 observed storefronts

Visually · Catalog size

  • 10–49 products: 70,586 observed storefronts
  • 1–9 products: 59,157 observed storefronts
  • 50–199 products: 53,018 observed storefronts
  • 200+ products: 46,803 observed storefronts

Two plays to run now

  1. Prioritize stores showing Visually, test two outreach angles against matched accounts, and keep the angle that produces more qualified sample requests.
  2. Build a comparison cohort around Rebuy, offer the same matched sample, and measure reply rate before expanding the list.

Get a matched 3-store sample

Skip manual prospecting. Download a verified 3-store cohort sample (maximum 3 rows) using this stack to test response rates today.

Download the 3-store sample →

Sources