Shopify stores with public Boost Commerce, Visually, and Weglot signals
StoreRadar observed 1,005 stores in a population of 300,332 on 17 October 2026.
Buyer question
Which Shopify stores show Boost Commerce, Visually, and Weglot public signals, and how does this cohort divide by vertical for target-audience mapping?
This research is intended to compare stores with public Boost Commerce, Visually, and Weglot signals by catalog size, vertical, and country to inform integration or campaign planning.
Observed stores in the Boost Commerce + Visually + Weglot cohort · population denominator 300,332 · snapshot 17 October 2026
1,005 of 5,135 stores with a public Weglot signal also showed the other listed signal(s) (19.6%) in the same snapshot. Among 1,002 stores with a known catalog size, the largest reported group was 200+ products (461).
Co-detection does not prove compatibility, subscription, buying intent, revenue, or performance.
Snapshot takeaways
- 1,005 of 5,135 stores with a public Weglot signal also showed the Boost Commerce + Visually signals in this snapshot (19.6%).
- Largest recorded catalog size group: 200+ products, 461 of 1,002 known values (46.0%).
- Largest recorded vertical group: Womenswear, 52 of 550 known values (9.5%).
- Largest recorded country group: AU, 259 of 411 known values (63.0%).
These comparisons use only the dated aggregate values shown below.
Signals and cohort
| Signal | Observed evidence |
|---|---|
| Boost Commerce | 8,282 stores with a public signal |
| Visually | 231,820 stores with a public signal |
| Weglot | 5,135 stores with a public signal |
| All cohort conditions | 1,005 stores |
How big are their product lists?
Known values for 1,002 of 1,005 cohort stores.
| Observed group | Stores | Share of known values |
|---|---|---|
| 200+ products | 461 | 46.0% |
| 50–199 products | 245 | 24.5% |
| 10–49 products | 205 | 20.5% |
| 1–9 products | 91 | 9.1% |
What do these stores sell?
Known values for 550 of 1,005 cohort stores.
| Observed group | Stores | Share of known values |
|---|---|---|
| Womenswear | 52 | 9.5% |
| Homeware | 50 | 9.1% |
| Gifts | 34 | 6.2% |
| Menswear | 30 | 5.5% |
| Auto Parts | 26 | 4.7% |
Where are these stores?
Known values for 411 of 1,005 cohort stores.
| Observed group | Stores | Share of known values |
|---|---|---|
| AU | 259 | 63.0% |
| CA | 69 | 16.8% |
| BE | 34 | 8.3% |
| AT | 25 | 6.1% |
| BR | 10 | 2.4% |
What the observation means
These listed public signals appeared on the same storefront cohort. Co-detection does not establish that the apps integrate, share a vendor relationship or that a store intends to buy.
Counts describe public storefront observations in a dated snapshot. They can change as storefronts and their visible signals change.
Start with this audience
Use these observed storefront signals as a starting cohort, then choose the catalog, country and offer filters that fit your campaign.
After payment
Load the matching Shopify stores and export your campaign list.
Optional verified contact delivery for qualifying matches
Explore related evidence
- Shopify app intelligence — StoreRadar.co
- Three-signal intersection index
- Shopify store database alternative — StoreRadar.co
- Shopify stores using Boost Commerce: 8,345 observed — StoreRadar.co
- Shopify stores using Visually: 231,306 observed — StoreRadar.co
- Shopify stores using Weglot: 5,174 observed — StoreRadar.co
- Shopify stores using Boost Commerce and Visually — StoreRadar.co
- Shopify stores using Boost Commerce and Weglot — StoreRadar.co
- Shopify stores using Visually and Weglot — StoreRadar.co
- Shopify stores using Afterpay and Boost Commerce — StoreRadar.co
- Shopify stores using Afterpay and Visually — StoreRadar.co
- Shopify stores using Avada SEO and Boost Commerce — StoreRadar.co
- Shopify stores using Avada SEO and Visually — StoreRadar.co
- Shopify stores using Bold and Boost Commerce — StoreRadar.co
- Shopify stores using Bold and Visually — StoreRadar.co
- Shopify stores using Bold and Weglot — StoreRadar.co
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