TL;DR
- Store Leads is the most direct starting point when the target is a storefront using a particular commerce platform or app. Its $75/month Premium tier is interactive; the $250/month Pro tier adds CSV export and API access. If the team needs a repeatable prospect list, price Pro rather than the lower banner.
- SmartScout is for Amazon brands, sellers and categories. Its $49/month Basic plan focuses product-level research; confirm the tier granting the brand/seller filters and export rights your prospecting motion requires.
- BuiltWith and Wappalyzer are useful when the buying clue is a website technology, not necessarily an ecommerce platform. BuiltWith lists Basic $295/month for two technologies and Pro $495/month for unlimited technology targets. Wappalyzer lists Pro $250/month for one technology and Business $450/month for combinations.
- Openmart is an adjacent option for local merchants with physical-business attributes and owner contacts. It is not a substitute for a global Shopify or Amazon brand map. Its current product page conflicts with itself on the email price, so confirm the charge at checkout.
- Match storefront, marketplace brand, seller, operating company and buyer before counting a lead. A technology detection or estimated sales figure is a research clue, not proof of a purchase project or verified revenue.
First define the account
Ecommerce prospecting can begin with five different entities. A storefront is a web property where people buy. A brand is the name customers recognise. A marketplace seller is the account offering products on Amazon or another market. A legal company signs software and agency contracts. A contact is the person who can evaluate the proposal. Those identities may overlap, but a dataset that lists one does not necessarily resolve the others.
Consider a company that runs three regional Shopify stores, sells through two Amazon resellers and owns two product brands. A store database may return three records. A marketplace database may show both brands and several sellers. A horizontal technology detector may see only the UK storefront's tag. If the sales team imports every row as an independent company, it creates six “accounts” for one budget holder and may reach the wrong seller. If it merges every similar brand name, it can combine unrelated licensees. Entity resolution is part of prospecting, not cleanup to perform after outreach.
Write a target rule first. An agency might seek UK homeware brands with Shopify storefronts using a specific subscription app, at least ten products and a dedicated marketing team. A marketplace services firm might seek Amazon brands in a category with several third-party sellers and poor listing control. A local payment processor might seek independent stores with a physical address and owner contact. Each brief points to a different source. A general contact database may be useful after the company is identified; it is seldom the best place to discover the ecommerce universe. Our B2B enrichment guide covers that later step.
Five sources compared
| Source | What it identifies first | Relevant published price | Critical purchase check |
|---|---|---|---|
| Store Leads | Store/domain, commerce platform and installed apps | Premium $75/month; Pro $250/month with CSV/API | Is the desired platform in the plan's two-platform limit, and can the team export? |
| SmartScout | Amazon product, brand, seller and category | Basic $49/month is product-level | Which plan unlocks brand/seller research and the needed output? |
| BuiltWith | Technologies detected on web domains | Basic $295/month for two technologies; Pro $495/month unlimited | Are detections current and specific to the relevant storefront? |
| Wappalyzer | Technologies detected on websites | Pro $250/month for one technology; Business $450/month for combinations | How many targets, lookups and API calls does the workflow require? |
| Openmart | Local business/company and contact | Usage-based; confirm email figure | Is the target actually a local merchant rather than an online brand? |
These are list prices checked on 27 September 2026, not equal data units. Billing, seats, geography and export rights affect the total. The buyer should compare accepted companies for the specified motion, not raw websites or products returned.
1. Store Leads
Best for: a team whose ideal customer is defined by a commerce platform, installed app, store category, country or technology change.
Store Leads describes weekly store updates and filters for platform, apps, technologies, product count, language, location and other store attributes. It also records app installation dates and changes. A service firm can therefore build a specific list: for example, stores in a country using a platform and a returns app that may integrate with its service. That is better than searching for “ecommerce companies” and hoping the right stack appears in a generic database.
Its pricing has an important cliff. Premium costs $75/month, covers stores on any two ecommerce platforms, permits interactive use, and does not include CSV export or API access. Pro costs $250/month, includes two users, CSV export and API, but still limits data access to two platforms. Elite costs $450/month and opens all platforms. A sales operations team that needs a weekly list into Salesforce should budget at least the plan that actually exports; an individual researcher looking up a handful of stores may not.
The vendor's site says it provides non-personal contact information unless a third-party personal-data integration is enabled. This is useful honesty about the account-to-person step. A store email such as support@brand.example does not identify the ecommerce director. A phone listed for the store may be customer service. Keep those fields separate from a named decision-maker found and verified through another source.
Test its identity model with a company that owns multiple domains and country stores. Which records share a merchant name? Are estimated sales and employee figures described as estimates? Does the technology detection have an observed date? Pull ten recently launched and ten inactive stores to see whether the weekly cadence is timely enough for your trigger. Where it falls short: it is store-first data, and its lowest plan is not a production export plan.
2. SmartScout
Best for: a firm whose market is defined by Amazon category, brand, seller, product portfolio or marketplace share.
SmartScout's product and pricing page separates product-level research from brand and seller intelligence. It describes brand databases, sellers associated with a brand, marketplace coverage and seller datasets. This structure matters for a sales firm: a brand may own a trademark while multiple sellers list its products; the seller whose offer wins the buy box may not control brand strategy. The right prospect depends on whether you sell brand protection, wholesale distribution, advertising or seller operations.
Its Basic tier is $49/month and presents product and keyword research. Do not assume that figure buys the full brand and seller workflow shown elsewhere on the page. Have the vendor demonstrate the precise filters, history, exports and marketplace coverage you need under the proposed tier. Public price tables can change via monthly and yearly toggles, so record the billing term in the quote. If a campaign targets brand owners, request the brand database and owner-mapping demonstration; a product ASIN list alone is not a company prospect list.
Build a sample of 20 known brands, including one with authorized third-party resellers, one private-label seller, one acquired brand and one name used by unrelated businesses. Check whether SmartScout separates brand record, seller account, product and corporate owner. A dataset can be excellent for Amazon competitive research yet require manual company matching before a B2B rep has an account to call.
Where it falls short: if the target is direct-to-consumer stores on Shopify, Amazon seller metrics will be an indirect signal. Marketplace sales estimates and category share are not verified company revenue and should not be repeated as fact in a personalized message.
3. BuiltWith
Best for: a team that targets websites because they use or have changed a particular technology, including commerce tools but also payments, analytics, advertising and infrastructure.
BuiltWith prices Basic at $295/month, with two technology targets, and Pro at $495/month with unlimited technologies in the displayed monthly view. It lists CRM integration across plans, individual site lookup for free and broader report/history features. This is different from Store Leads. BuiltWith starts at the technology observed on a domain, not a curated merchant entity or Amazon brand. That can be ideal when the sales hypothesis is a platform migration or a specific payment provider, but it leaves company identity and buyer mapping to the team.
Take a sample of 30 relevant storefronts and 10 controls. Confirm whether a technology is detected on the checkout site, main domain, a subdomain or a marketing microsite. A tag on one property does not prove the whole corporation uses it. Check the first and last observed dates, and distinguish a current installation from historical use. A migration message based on an old script can sound careless even when the vendor's historical detection is technically right.
The Basic plan's two-technology limit may suffice for a narrow service offer, such as stores using one platform and one marketing tool. A team that combines many technologies, exclusion rules and regional lists should model Pro or the actual quoted configuration. Where it falls short: technology evidence cannot tell you whether a company is buying, which legal entity owns the site or who manages the tool.
4. Wappalyzer
Best for: a team testing a small number of specific technology-led lead lists and deciding whether it needs a broader multi-technology workflow.
Wappalyzer's pricing page says Pro is $250/month for slicing and filtering one technology, while Business is $450/month for combinations of technologies. The page also distinguishes included users, list targets, lookups and API credits. That makes the purchase less about “Which detector is cheaper?” and more about the list rule: one relevant commerce technology may fit Pro, while a three-condition account definition can require Business. Confirm the chosen billing term and monthly allowances before loading it into an automated pipeline.
Its website and API products identify technologies on web properties. This can help an ecommerce app vendor locate likely compatible sites, or an agency spot a site using one commerce platform and a particular marketing product. It can also create false context if a brand has several domains and only one has the detected tag. Run Wappalyzer and BuiltWith on the same 40-domain sample; compare current detection with page evidence, not vendor-wide domain counts. Where they disagree, inspect the live site and detection timestamp.
Wappalyzer also describes lead lists, CRM enrichment and API workflows. Ask which of those is included in the displayed tier and how an API credit is spent. Where it falls short: neither a technology match nor a verified email lookup makes Wappalyzer a complete store-to-company identity service. The team still needs to decide which domain and operating company to pursue.
5. Openmart
Best for: a local-business seller whose ecommerce opportunity is a merchant with a physical operating location and reachable owner, rather than a worldwide list of online brands.
Openmart positions its data around local businesses, owner emails, direct phones and business attributes. A payments provider selling to independent retailers with stores and a local ecommerce offering may find those records useful. A platform app seller prospecting large Shopify brands or an Amazon agency mapping marketplace sellers should not assume Openmart covers those entities simply because they sell products online.
There is a current pricing inconsistency on the vendor's page: its main price block states $8 per 100 verified emails found, while its FAQ states $6 per 100. Both appear on the same source. We are not using either as a procurement figure; confirm the live checkout or written rate, whether “found” means verified and what exports cost. The page separately lists phone pricing and company enrichment, but the account identity and data rights still need testing.
Sample 20 local merchants with both a shopfront and ecommerce site. Check whether Openmart returns the correct operating business, owner and address, and whether the online brand is linked to that local entity. Where it falls short: a local-business record can be irrelevant to a DTC brand with no retail presence, or to a marketplace seller operating under a different legal name.
A store-to-company example
Suppose the fictional Northline Home appears as northlinehome.co.uk, northlinehome.de and a Shopify wholesale portal. Amazon lists “Northline Home” as a brand, but two sellers offer its products. A storefront source may return three domains, a technology source may detect different apps on each, and SmartScout may return one brand with two sellers. The correct CRM target might be one UK company, a German subsidiary or a distributor; the data sources alone cannot decide.
Create a temporary evidence table before import: source record ID, entity type, domain or seller ID, display name, observed technology or marketplace fact, observation date, possible legal company, supporting URL and match confidence. Ask a researcher to validate the company through the brand's corporate site, terms, public registrations or current contact information. Only then create or update the CRM account. Record the relationship: “UK store operated by Northline Home Ltd”; “Amazon seller authorized reseller, not brand owner.”
This also improves outreach. A valid message might mention a verified platform migration or expansion described by the company. It should not claim the brand's revenue from an estimated store sales field or tell a reseller it owns the trademark. The data source's commercial value is in the selection and explanation of the account, not the size of an unverified lead list.
The 100-account source test
Prepare a 100-account sample independently: 40 target ecommerce brands with known stores, 20 marketplace brands/sellers, 20 local merchants and 20 difficult cases (regional storefronts, acquired brands, resellers and similarly named companies). Give each candidate the subset it is designed to address; do not penalize Openmart for not being a global marketplace database or credit SmartScout for returning the wrong entity type. The test should answer which source best serves the specified sales motion.
For each record, measure: correct storefront or marketplace identity, current technology or category, date of observation, correct legal-company match, target fit, usable export under the plan, person or contact availability, analyst minutes and seller acceptance. Separate missing from wrong. A tool that finds 80 stores but maps 20 to the wrong owner can be more damaging than one that finds 60 with clean ownership. Re-run at least ten fast-changing cases after a month to assess freshness.
Ask the sales team to approve ten example accounts before building a 10,000-row export. The analyst should be able to show the source signal, company match and business reason in a short account note. If sellers reject the account because the seller was merely a third-party reseller or because the technology was historical, fix the selection rule before scaling.
Cost per accepted ecommerce account
Suppose a small team tests 100 records, accepts 35 accounts for a campaign and spends $250/month on a source plus six analyst hours at $40 to map entities. Direct cost is $490, or $14 per accepted account. If the source produces 1,000 raw store rows, dividing by 1,000 would imply $0.49 and hide the identity work. The accepted account is the appropriate unit when that is what sales can act on. These are illustrative numbers, not measured vendor outcomes.
The plan gate matters. Store Leads Premium at $75/month has no CSV/API, so a recurring export workflow should model its $250 Pro tier or a higher one. BuiltWith Basic's $295 may suffice for two technology targets; Wappalyzer Pro's $250 focuses one. SmartScout's $49 Basic is product research, and a full brand/seller process may require a different tier. Openmart should be quoted for its actual local-business contact volume because the public page conflicts on email cost. Add any separate person-data subscription, CRM work and annual prepayment before calling a source inexpensive.
Which source should a team buy?
Buy Store Leads Pro when the sales account begins with a store and you need a repeatable exported list. Buy SmartScout's appropriate brand/seller tier when the Amazon marketplace is the actual territory. Choose BuiltWith or Wappalyzer when a technology installation is the selection rule; test both against the same domains and price the number of technologies and API calls. Consider Openmart when the buyer is a local merchant whose owner or employee contact matters more than online-brand taxonomy.
For a general technology-data comparison, see BuiltWith vs Wappalyzer. If the team needs timing beyond installed software, compare buying signal platforms. Whichever source wins, preserve the store, brand, seller and legal-company relationship instead of flattening every row into “company.”
The Clay Waterfall Enrichment Guide helps join brand qualification, company identity and contact enrichment without losing the original evidence.
FAQ
Is every ecommerce store a separate company?
No. A company can operate several domains, country stores or wholesale portals. A marketplace brand can also have multiple sellers. Resolve the operating company and record the relationship before importing accounts into the CRM.
Does Store Leads Premium include CSV or API exports?
Its current price page says no. Premium is $75/month for interactive use on two ecommerce platforms. Pro is $250/month and adds CSV, API, automatic CRM enrichment and two users, still with two-platform coverage. Elite opens all platforms.
Is SmartScout's $49 Basic plan sufficient for brand prospecting?
Do not assume so. The displayed Basic tier focuses product and keyword research. Ask for a demonstration and quote of the brand and seller database, filters, history and export rights needed for the campaign.
Which is better for ecommerce, BuiltWith or Wappalyzer?
The answer depends on the technology-selection rule, actual domain coverage and plan allowances. BuiltWith Basic lists two technology targets; Wappalyzer Pro focuses one. Run both on the same known storefronts, verify current detections and compare accepted company accounts per full cost.
Are estimated store sales suitable for an outreach claim?
Treat them as a segmentation estimate, not audited company revenue. A seller should not write “you make $X” based solely on a third-party estimate. Verify any material company fact before using it in a personalized message.
Can Openmart replace Store Leads for online-brand prospecting?
Usually not. Openmart's relevant product centers on local businesses and owner/employee contacts. It can help when the target is an independent merchant with a physical location, while Store Leads is organized around ecommerce stores, platforms and apps. Test the entity the sales team actually sells to.
