Data fracking: find GTM signals in your first-party data | Openprise

The data you need is already out there. Openprise finds it.

Enrichment vendors sell what they know. Data fracking, often called first-party data, finds what they don't. Openprise combines web scraping, AI-powered search, and signal extraction from your own internal systems — call transcripts, emails, surveys, customer success platforms — to surface the GTM intelligence that no third-party data feed carries.

Surface signals enrichment vendors can't reach

Law firm practice areas. Hotel room counts. Whether a prospect is running Magento or Shopify. Recent funding rounds. Openprise uses web scraping and AI-powered search to find data points that enrichment catalogs don't carry — and writes them back to your CRM automatically.

Extract structure from your unstructured data

Product interest buried in a contact-us form. Competitive intelligence in an email thread. Buying signals in a call transcript. Openprise applies AI to extract structured, actionable data from the unstructured sources your existing systems can't parse.

Validate what your enrichment vendor tells you

Technographic data from vendors gets stale. Openprise validates tech stack claims against live sources — scraping website source code, processing press releases, and cross-referencing case studies — so your scoring and targeting decisions run on verified signals, not outdated catalog entries.

Built for Ops teams who know the data is there — somewhere

Your GTM stack generates signals every day that never make it into a useful field in your CRM, MAP, or data warehouse. Call recordings, email threads, contact-us forms, customer success notes, web behavior, press releases — the data exists. What's missing is a systematic way to extract it, validate it, and connect it to the records your sales team acts on. Openprise solves that problem at scale across your entire GTM stack, without requiring your team to manually review sources one by one.

Replace your Ops stack

You have 30 tools. None of them agrees. Replace the point-solution sprawl with a single platform built for every GTM data workflow your team runs.

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Questions

What is first-party data extraction and how does it differ from third-party data enrichment?

Third-party data enrichment pulls pre-collected firmographic and contact data from vendor catalogs — ZoomInfo, Clearbit, D&B, and similar providers. It is fast and reliable for the data points those vendors track, but it is limited to what they already have. First-party data extraction — what Openprise calls data fracking — finds and structures data that no vendor catalog carries.

What is data fracking, and why does it matter for GTM and revenue operations teams?

Data fracking is the practice of extracting usable GTM intelligence from non-standard, unstructured, or hard-to-access data sources that enrichment vendors don't cover and your CRM can't read natively.

What kinds of unstructured data and first-party signals can Openprise extract for GTM use cases?

The range is broad, and that is the point. Openprise can find law firm practice areas, hotel room counts, or police department staffing levels from company management pages and public directories.

How does Openprise validate AI-extracted data to prevent errors from entering your CRM or MAP?

AI hallucination is a real risk in any extraction workflow, and Openprise is designed to manage it rather than ignore it. The approach involves breaking extraction tasks into discrete, simple steps and validating outputs against ground-truth data wherever possible.

How is data fracking different from standard B2B data enrichment through ZoomInfo, Clearbit, or similar vendors?

Standard enrichment vendors maintain catalogs of pre-collected company and contact data. They cannot cover what isn't in their catalog, which is often the most actionable signal for your specific use case.

How do first-party data signals extracted by Openprise connect to Salesforce, Marketo, and downstream GTM workflows?

Data fracking brings signals into your CRM that didn't exist before. Once those signals are written to structured fields, they feed directly into every downstream workflow Openprise runs.