Find Shopify Stores by App, Payment, or Tool

TL;DR: Use positive filters to find a recorded app or payment signal, and negative filters to exclude a recorded signal. “Not detected” does not mean a store lacks the capability. Our April 23, 2026 Mailchimp funnel narrowed 19,433 estimated 50K+ accounts with no visible Klaviyo to 8,002 with a saved verified-email contact. That is a research list, not 8,002 willing buyers.

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App filters are useful for integration research, account selection and competitor analysis. They help you describe an observed setup. They do not tell you a merchant's paid plan, revenue, satisfaction or intention to replace a tool.

A Worked App-Filter Funnel From Our Data

Our retained Mailchimp-to-Klaviyo study was collected April 23, 2026, covering 536,583 stores with a stored traffic tier and a latest available technology snapshot. The query matched the mailchimp and klaviyo app slugs in each store's latest saved snapshot.

The verified-email cut retains 41.2% of the 19,433-account group. The same-contact role, email and LinkedIn cut retains 1.1%. Account fit and contact fit are different constraints: an app match can be real while the useful recipient remains unknown.

The role list was founder, CEO, CMO, head, VP, manager or ecommerce manager. Broad titles such as manager do not establish purchasing authority. Verification meant a saved email status, not a fresh delivery test; the extraction did not bound snapshot or verification ages. The study did not require a confirmed-active store, prove a paid Mailchimp plan or establish that Klaviyo was absent from private workflows.

A Stricter Account Rule Changes the List, Not Its Intent

A separate proposed rule required estimated 50K+ traffic, Mailchimp detected, no Klaviyo detected, any contact record, a stored paid/custom theme and at least five visible app identities. 9,806 accounts matched; 4,665 also had a saved verified-email contact.

Those filters are a way to select accounts for review. “Switch-ready” was the study's segment label, not measured dissatisfaction or a migration decision. Paid/custom theme classification and app count do not prove budget. Ask about an actual constraint before recommending a switch.

Method 1: Check One Store

Use the Shopify App Detector for a pasted domain, or Store Inspector while browsing. Record the page, date and returned signal. A public-page check can miss tools loaded on other pages, behind consent, in customer accounts or only in Shopify Admin.

For an ambiguous result, inspect the visible workflow. A review widget, signup control or tracking page can provide useful positive evidence. Its absence on the homepage cannot establish a site-wide gap.

A Current Example of Positive Evidence

On October 10, 2026, we inspected Gymshark's public Adapt Solid Halter Neck Tank page. Its footer's Make A Return link pointed to us-gymshark.loopreturns.com, and its Military and Government Discount link pointed to auth.govx.com/shopify/verify.

These are specific public route observations. They support questions about the returns or eligibility-discount experience. We did not enter a return, submit a form, enter checkout or inspect backend installations, so this is not a complete installed-app inventory or proof of effectiveness.

This is the standard to apply to an account returned by a filter: preserve the evidence behind a positive result and leave unsupported conclusions open.

Method 2: Build a List With Positive and Negative Filters

Choose a database that can express the combination you need. Distinguish all of from any of: requiring Klaviyo and Gorgias is different from accepting either. Check whether payment signals, pixels and apps use separate filter categories.

These are proposed filters, not evidence that every returned account needs the service. A missing Elevar signature does not prove broken attribution; no standalone SMS app does not prove missing SMS inside an email platform.

Reproduce the Mailchimp Research Logic

1. Select stores with a Mailchimp signal.
2. Exclude stores with a Klaviyo signal.
3. Select the existing estimated traffic tiers at 50K or above; do not enter an invented 10K–100K tier if the product does not expose it.
4. Add the category and geography relevant to your service.
5. Review contact quality separately from account filters.
6. Inspect current storefronts and confirm the responsible person's role before preparing messages.

Current results will differ from the dated April extraction. Do not promise a qualified list in a fixed number of minutes or treat exported records as ready to send.

Selecting a Database and Plan

Compare the workflow you need rather than total coverage alone. Ask how app identities are normalized, how negative filters work, when a signal was checked, whether contacts are verified, and what exports the selected plan permits.

Two plan examples checked October 10, 2026:

These rows describe access and export differences, not independently tested accuracy. StoreInspect's free plan has basic filters, 50 results and 10 contact reveals per month, with no CSV export. Check the live plan pages before committing to a workflow. Other vendors such as BuiltWith are options to investigate, but this article does not claim a measured head-to-head ranking.

Turn Filter Results Into Useful Questions

Use a real documented case if you claim previous results. A template should not supply a fictional 12-brand migration history. Our cold-email templates show how to move from checked observations to questions.

Detection Limits

App detection reports recognized public footprints. Coverage depends on the vendor, page, configuration and observation conditions. Backend functions can lack reliable public signatures, while optional customer-facing features can make some integrations visible. We do not have a ground-truth experiment supporting a universal 70–80% accuracy figure or a universal weekly freshness promise.

A high lead-fit score and a multi-category stack are prioritization signals. They are not measured revenue, successful marketing or buying intent. Check scan dates where available and recheck material facts rather than assuming an old snapshot is current.

Frequently Asked Questions

Can I find stores using any Shopify app?

Only if the research product recognizes a relevant signal. A public lookup cannot provide a complete Shopify Admin installation list. Treat vendor-specific coverage as something to check.

Is positive or negative filtering better?

They serve different questions. Positive filtering finds a compatible visible setup; negative filtering excludes a recognized signal. Neither establishes demand. Combining both with contact and account checks produced the dated funnel above.

Can I find stores using Shop Pay?

Start with the Shop Pay stores page, then add relevant account filters. A public payment signal is not proof of every checkout option or eligibility in every customer region. See the payment methods report for context.

Does public information make outreach lawful?

Public visibility is a technical observation, not blanket authorization to process contact data or send marketing. Requirements depend on the recipient, jurisdiction and message. The FTC's US commercial-email guidance, checked October 10, 2026, includes B2B email and requires accurate identity/subjects, a postal address and an opt-out process. Check the applicable rules before contacting recipients elsewhere.

What should I do with an exported list?

Validate the current store and role, recheck stale email statuses, apply suppression records, and keep the original observation attached to the account. The app-filter result supplies a research hypothesis, not a promise that the recipient will respond.