Comparison
DiscoLike vs Store Leads
Store Leads specializes in ecommerce. DiscoLike combines vendor targeting with company discovery across industries. For an ecommerce campaign, compare the same merchants, evidence, and usable contacts before choosing.
TL;DR
Store Leads is purpose-built for online merchants. DiscoLike serves broader company discovery and prospecting use cases.
DiscoLike combines observed vendor footprints with natural-language company search, customer lookalikes, and managed prospecting. Use it when your market extends across merchants, suppliers, and service businesses.
Store Leads starts at $75/month for UI use or $250/month with exports and API. DiscoLike starts at $99/month with API and MCP. Compare the plan and qualification costs for your actual campaign.
DiscoLike indexes more than 82 million companies, ~3x the coverage of LinkedIn-dependent databases. On Starter, a query returning 1,000 new company records uses $3.68 in credits ($0.18 query fee plus $3.50 for records), and plans start at $99/month.
At a Glance
DiscoLike and Store Leads, side by side
 | Store Leads | |
|---|---|---|
| Market scope | Company discovery across industries, including ecommerce | Ecommerce stores |
| Targeting | Vendor criteria, natural-language ICP, customer lookalikes, geography, and homepage phrases | Platform, category, apps, technologies, location, and product filters |
| Merchant detail | Company context and account research; test each required merchant field | Product counts, themes, shipping carriers, and platform-specific fields |
| Automation | API and MCP on every plan; managed prospecting workflow | API and MCP documented; API access starts with Pro |
| Pricing | $99/month minimum, with usage credits | Premium $75/month for UI use; Pro $250/month adds exports and API. Elite $450/month; Enterprise $950/month. |
Store Leads details reviewed September 26, 2026 from the public product and pricing pages linked below. Spotted something outdated? and we'll fix it.
Explore DiscoLike's ecommerce coverage
The October 2026 Company Index snapshot contains 10,475,340 companies carrying the E-Commerce label worldwide. 7,319,090 have ecommerce as their primary industry; the remainder carry it as an additional label.
Within this snapshot: United States, 2,693,712; United Kingdom, 591,521; Germany, 497,116. Open the country pages for company-size distributions and further segment breakdowns.
These are company-domain counts under the snapshot's industry classification, not a verified count of active storefronts or companies using Shopify. Labels overlap with product brands and retail. Do not add adjacent industry totals together or compare this number directly with Store Leads' active-store total.
Ecommerce depth versus a broader target market
If your entire market is online stores, prioritize merchant-level usefulness over total database size. A larger cross-industry index does not establish better Shopify coverage.
Store Leads offers filters for product count, store category, installed apps, and shipping carriers. These suit campaigns whose qualification rules depend on the shop itself.
DiscoLike is useful when the segment also includes manufacturers, distributors, agencies, or service businesses. Combine vendor criteria with what a company does before retrieving paid records, then research the accounts that match.
A fair ecommerce evaluation
Proposed segment: US apparel retailers using Shopify and Klaviyo. Define whether US means headquarters or shipping destination, whether marketplaces and wholesalers qualify, and how multiple storefronts belonging to one brand will be counted.
Run both searches on the same day. Review 100 randomly selected results from each provider, including overlapping and unique domains, with provider names hidden from reviewers. Add an independent set of known qualifying stores to test how many each source finds. The union of two result lists is not the whole market.
Score active-store status, apparel fit, US-location fit, evidence for each technology, observation dates where available, duplicate brands, and relevant contact availability. Record unverified technology evidence separately from incorrect detections. Use the same contact persona and verification criteria for both workflows.
Report confirmed qualifying companies per 100 reviewed, known-store coverage, unique qualifying accounts, usable contacts, and research time. Price the subscriptions, exports, contact providers, and human review. We have not run this test, so no winner or coverage percentage is claimed.
Pricing depends on whether you need exports
Store Leads Premium is $75/month for interactive use. Pro is $250/month and includes exports and API access; both cover two selected ecommerce platforms. Elite is $450/month for all platforms, and Enterprise is $950/month. Check the current plan for your workflow.
DiscoLike starts at $99/month in usage credits. On Starter, a query returning 1,000 new company records consumes $3.68: $0.18 for the query and $3.50 for records. The minimum subscription remains $99; contacts, research, email finding, and external providers have separate applicable charges.
Premium starts below DiscoLike. For exported prospect lists, compare the relevant Store Leads plan with DiscoLike usage and qualification costs. A lower subscription price does not establish a lower cost per usable prospect.
From a company list to a relevant person
The DiscoLike Prospecting Agent coordinates discovery, ICP validation, contact qualification, and email finding from a company and persona brief. It can be called through MCP or REST as well as the app. Review partial results and stop reasons; work limits are not dollar caps. See the agent workflow.
Store Leads supplies non-personal contact information and supports personal-data integrations. Include those providers when testing contact completeness and cost. Its API also documents MCP, so MCP availability alone is not the deciding factor.
Fit
Which one is right for you?
Choose DiscoLike if
- Target markets spanning ecommerce and other industries
- Combining semantic company fit with observed vendor footprints
- Coordinating company and contact qualification through an agent
Choose Store Leads if
- Campaigns centered on online merchants
- Store-specific product, platform, and app filters
- Ecommerce market research
FAQ
Common questions
Is DiscoLike better than Store Leads for ecommerce?
That has not been established by a matched benchmark. Test the same segment and compare qualifying merchants, technology evidence, contacts, and total cost. Broader industry coverage alone does not prove better ecommerce results.
Can both products filter by industry and technology?
Yes. Store Leads combines category and technology filters; DiscoLike combines vendor targeting with company criteria, including natural-language descriptions and customer lookalikes.
Does Store Leads support MCP?
Yes. Its API reference documents an MCP server. Compare the tools, subscription requirements, and workflow you need rather than choosing on MCP availability alone.
Explore technographics & vendor intelligence or read the category buying guide.
More comparisons
Testimonials
Hear it from our users
Jeff Rolf von den Baumen
Co-Founder & CEO, PipeRich
"DiscoLike is the primary account discovery source behind our campaigns, for many of our clients. Overall, my favorite data source, and we love leveraging it on behalf of our clients."
Dan Rosenthal
Co-Founder, Workflows.io
"Discolike helped me map out 2M+ companies for over 15 different B2B companies, including a unicorn. I've used all the big prospecting databases, and I can confidently say Discolike is the best tool for building target account lists."
Alex Fine
Co-Founder, Understory
"We've gone from struggling to find alternative lists outside traditional databases to basically having an untapped source of highly relevant companies. The way that Discolike operates on the back-end has been night and day vs their competitors."
Jordan Crawford
Founder, Blueprint
"DiscoLike has unprecedented coverage of companies on the Internet. Their core technology has been instrumental in some of my sneakiest campaigns."
Felix Frank
Founder, StackOptimise
"DiscoLike's segmentation is a powerful tool. It splits the client list into clearly labeled groups we can easily work with, saving us hours on ideal company profile identification."
Panos Sisamos
Co-Founder, Relevance.
"DiscoLike is right next to Clay in my tech-stack. Took me a couple of hours to get the hang of it, but now I can't live without it. Our process at Relevance relies heavily on accurate TAM mapping, and no one does it better than DiscoLike"
Patrick William Joyce
CEO, Outboundless
"DiscoLike's GTM toolbox is awesome for our daily grind, matching account names to domains like a breeze, segmenting our client list into spot-on company profiles, and modeling target accounts for each one to keep our B2B pipeline humming!"
Raouf Lemouchi
Founder, SalesTech Scout
"DiscoLike has a strong lookalike domain search, their wizard makes it incredibly easy to find high-quality prospects that match our ideal customer profile. Being able to automatically segment my targets is a really good feature."
Alex Vacca
Co-Founder, Cold IQ
"DiscoLike has quickly become a must-have in our campaign workflow. It's incredibly good at uncovering look-alike prospects and companies"
Nick Abraham
Founder, Leadbird.io
"Discolike has streamlined our list building process by allowing our team to create larger more accurate lists in half the time compared to regular data tools"
Put a real search engine under your GTM
- 82M+ companies in our own index
- 1B+ pages crawled monthly
- Self-serve from $99/mo, no demo required
- Company data from public web sources