Data enrichment and acquisition tool | Openprise

AI-enhanced data enrichment finds what a single data vendor can't

Openprise combines multiple data enrichment tools in a curated waterfall, improving coverage, measuring quality, and refreshing records without adding contracts, connectors, or more operational complexity.

Enrich the right record at the right time

Openprise cleanses, standardizes, and matches records before enrichment begins. Conditional routing sends each record to the right providers at the right time, preventing list uploads, form fills, and existing records from bypassing the process. No more manual post-enrichment data cleanup.

Best-in-class data enrichment tools, only one contract

No single provider delivers complete, accurate coverage across every market and segment. Openprise lets you source, compare, and unify data from leading providers in one place, filling regional and niche gaps without managing separate UIs, connectors, contracts, formats, and renewal cycles across your growing stack.

Predictable pricing, continuous data refresh

Only pay for records that meet your minimum field requirements. Scheduled refreshes keep your database current, while job change signals help you spot champions who leave, new key personas, and influencers joining active opportunities.

Built for enterprise data enrichment, not vendor chaos

GTM data decays by 25% each year. Contacts change roles, companies evolve, and missing fields weaken conversion, personalization, segmentation, routing, and outbound growth. The more data you ask prospects to provide, the less likely they are to engage. Better data enrichment fills those gaps without adding friction for buyers or sellers across your funnel.

Openprise operationalizes the process, from sourcing and comparing vendors to unifying, governing, refreshing, and activating enriched records across your CRM, MAP, and warehouse, with control over how each field is created and updated.

What Ops leaders say about Openprise

“Something super unique about Openprise is [that] they can clean your data before sending it to the enrichment vendor to provide better match rates. When we were using a single vendor, our match rate was around 50–60%. When we implemented the waterfall approach with Openprise, we improved our match rate to above 85%.”
— Megan Crone, Senior Manager, MarTech Platforms and Integrations, Palo Alto Networks

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 a data enrichment waterfall, and how does it actually work?

A data enrichment waterfall sends each record through a sequence of providers instead of trusting one database to cover every market, segment, and field. Your preferred provider runs first. When it cannot return a qualified match, Openprise routes the record to another source. You define required fields, quality thresholds, source precedence, and update rules before anything reaches production.

Openprise also controls when enrichment fires, so tradeshow uploads, inbound leads, and existing records do not bypass the process or enter midway through. Identity resolution, deduplication, and unified delivery keep the result from creating conflicting records across your CRM, MAP, and warehouse at enterprise scale.

We already use ZoomInfo. Why would we need the MVE waterfall on top of that?

ZoomInfo is sufficient in certain segments and geographies, especially mid-market US companies. It has well-documented coverage gaps in EMEA, small businesses, and specific verticals. MVE doesn’t have to completely rip and replace your existing enrichment vendor (although you can if you wish!) It's the layer that fills the gaps your primary vendor leaves behind, so your data coverage reflects your actual TAM rather than your vendor's coverage map.

How does Openprise decide which vendor's data to use when multiple vendors return a match?

You set the rules. Openprise's no-code enrichment recipe builder lets your team define which vendor's data takes precedence for each field type: company data, contact data, technographic data, intent data, and more. Openprise also includes a staging area where your team can review enrichment results before they're written to your CRM or MAP. You can audit pre- and post-import, catch outliers, and adjust the recipe before anything touches your production data.

Does Openprise clean and standardize source data before using data enrichment tools?

Yes. Enrichment quality depends heavily on the record entering the workflow and when that workflow runs. Inconsistent company names, missing domains, malformed phone numbers, and personal emails can create bad matches or prevent valid ones. Openprise standardizes and resolves identities first, then uses conditional routing to make sure lists, leads, and existing records enter enrichment at the correct point before campaigns, scoring, routing, analytics, or AI use the data throughout the entire GTM lifecycle.

How does Openprise measure data enrichment quality and ROI?

Openprise reports match rates, retained fields, quality, and performance by vendor, geography, field, and record type. You can evaluate a large batch before purchasing, set minimum requirements, and pay only for records you keep. When a source underperforms or returns questionable values, your team can see where the problem started instead of opening support tickets without evidence. That transparency helps you improve recipes, remove weak vendors, and prove ROI and hold providers accountable over time.

How does Openprise keep bad enrichment from spreading across connected systems?

A standalone enrichment-only tool can write partial or incorrect values to your CRM and stop. Your MAP then inherits the same bad company names, blank industries, missing titles, personal emails, duplicate contacts, and overwritten history. Those errors weaken segmentation, scoring, routing, personalization, reporting, and AI while forcing Ops teams to clean up enrichment that was supposed to save them time.

Openprise cleanses, matches, enriches, resolves, and unifies records before delivering approved values across your CRM, MAP, and warehouse. Field-level governance controls creation and updates. Conditional routing makes sure records enter at the right time. Job change signals trigger workflows when champions leave or key personas join. Every connected system receives one governed identity instead of conflicting vendor outputs without adding more manual cleanup work.

What separates Openprise from standalone data enrichment tools and enrichment marketplaces for GTM teams?

Standalone data enrichment tools rely on their own databases. Marketplaces add sources, but teams still have to evaluate accuracy, resolve conflicts, prevent duplicates, manage timing, and decide which values can safely update production systems. Without orchestration and governance, more data can create more cleanup.

Openprise combines data enrichment and acquisition with operational controls enterprise teams need. It cleans inputs, runs provider waterfalls, evaluates quality, resolves identities, applies field precedence, protects trusted values, refreshes records, tracks job changes, and writes data everywhere. Vendor-level reporting shows where match rates, coverage, and quality break down, so Ops can troubleshoot quickly.

How does Openprise improve data enrichment coverage across EMEA?

EMEA data is difficult for any single provider to cover consistently. Accuracy can vary significantly by country, language, company size, and local privacy requirements. A vendor that performs well in the UK may have major gaps in Germany, France, the Nordics, or emerging markets.

Openprise improves EMEA coverage by routing records across data enrichment tools based on where each provider performs best. You can set country-specific rules, minimum field requirements, and source precedence, then compare match rates and retained fields by region. Openprise also standardizes international company names, addresses, and phone formats before enrichment, helping providers return better matches without allowing low-confidence data to overwrite trusted records.

How does Openprise improve mobile phone number coverage?

Mobile phone numbers are one of the hardest contact fields to source reliably, especially across international markets and senior buyer personas. Coverage varies widely between data enrichment tools, and a returned number is only useful when it belongs to the right person and meets your quality standards.

Openprise lets you evaluate mobile phone coverage across providers and route unmatched contacts to additional sources. You can require a mobile number before keeping a record, prioritize vendors by geography or persona, and pay only for data that meets your criteria. Identity resolution links the number to the correct contact, while governance rules control when it can update your CRM and prevent repeated enrichment from creating duplicates or replacing trusted values.

Why would we need more than one data enrichment tool?

Every provider has strengths, gaps, and regional blind spots. A tool that performs well for large US accounts may struggle with EMEA, APAC, LATAM, small businesses, franchise ownership, mobile numbers, or specialized industries. Openprise lets you use each data source where it performs best, improve coverage without accepting every returned value, and avoid forcing one vendor across your entire target market or losing control over your data quality.

How does Openprise prevent enrichment from corrupting trusted CRM data?

You set the rules. Openprise defines which source takes precedence for each field and what must be true before a value can update production data. A staging area lets you compare results, audit pre- and post-enrichment values, catch outliers, and reject low-confidence matches. Identity resolution prevents domain variations from creating duplicate companies or enriching the same contact repeatedly, while update policies protect lifecycle history and trusted CRM values across connected systems.