Technographic data — knowing what software a company actually runs — is one of the sharper targeting signals in B2B, and it's the core of what ELP Data sells: install-base coverage across 500-plus technologies paired with an executive contact database, wrapped in account-based marketing tooling. This review covers what's verifiable on the vendor's own site, what isn't published anywhere, and who the model actually fits.
| Best for | B2B vendors and agencies targeting accounts by their tech stack |
| Starting price | Not published — sales-assisted quotes only |
| Real cost signal | The contact form's own budget picker starts at "under $25,000" and runs past $1,000,000, which points to a project/data-license model, not a self-serve monthly seat |
| Setup speed | No self-serve signup found; onboarding runs through a sales conversation and custom data sample |
| Standout feature | Combined technographic + executive-contact database (500+ technologies, 26M+ contact records) |
| Biggest caveat | No published pricing and no independent review presence to weigh vendor claims against |
| Third-party rating | None found on G2, Trustpilot, or Capterra as of July 2026 |
ELP Data is a B2B data provider, founded in 2005 and based in Sheridan, Wyoming, built around two linked datasets: which companies use which enterprise software (SAP, Salesforce, AWS, Oracle, and hundreds of others), and who the decision-makers are at those companies by job title. The pitch is straightforward — if your best customers are defined by a technology they've already bought (say, "companies running Oracle that need a migration partner"), technographic targeting shortens the path to them versus generic firmographic filters like industry or headcount.
On top of the raw data, the site advertises account prioritization, buying-committee mapping, and multi-channel campaign orchestration — positioning ELP Data closer to a data-and-services shop for account-based marketing than a pure self-serve contact database like Apollo or ZoomInfo.
There is no visible self-serve signup or dashboard trial on the vendor site. The path in is a contact form that asks for a project budget range (from under $25,000 up to over $1,000,000), which strongly suggests engagements are scoped and priced per client rather than sold as fixed monthly plans. That's a materially different buying motion than tools like InboxKit or Instantly, where you can see tiers and self-serve in minutes — expect a sales cycle, a data sample, and a negotiated quote before you see real pricing.
We could not find a published pricing page, plan tiers, or per-record costs anywhere on elpdata.com. The only pricing signal is the budget-range field on the contact form, which implies deals can run from low five figures into seven figures depending on scope (data volume, exclusivity, ongoing refresh, or added research services). Treat any number a salesperson quotes as the real starting point for negotiation, not a list price — and ask specifically what's included versus billed as a separate services engagement (list building, appending, or custom research are commonly quoted separately at data vendors of this type).
We verified the following directly from ELP Data's own site and third-party company-info sources (ZoomInfo, Crunchbase, CB Insights): the 2005 founding date, Wyoming headquarters, the 500+ technology and 26M+ contact record figures, the SOC 2 Type II and GDPR/CCPA claims, and the absence of published pricing.
What we could not verify: we found no G2, Trustpilot, or Capterra listing for ELP Data, and no Reddit or forum threads discussing customer experience, data accuracy, or support quality. That means the data-freshness and match-rate claims on the vendor site are unconfirmed by any independent source — there is simply no third-party track record to check them against. This is common among data-and-services vendors that sell through direct sales rather than a self-serve product, but it does mean you're buying largely on the vendor's own word until you request a data sample and validate it against your own list.
Pros
Cons
Technographic and B2B contact data is a crowded category with very different buying models. Worth comparing:
Good fit: B2B vendors whose ideal customers are defined by a specific technology (migration specialists, integration partners, complementary software vendors); teams that want technographic data plus executive contacts in a single relationship rather than stitching two tools together; buyers comfortable with a sales-assisted, custom-scoped engagement and budget in the five-figure-plus range.
Poor fit: solo founders or small teams that want to self-serve a list in minutes and see pricing up front — tools like Apollo or BuiltWith fit that motion much better; anyone who needs a vetted, independently-reviewed vendor before committing budget, since no G2, Trustpilot, or Capterra track record currently exists to lean on; teams with budgets well under the $25,000 tier implied by the contact form.
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