Openprise vs. data vendors | Multi-vendor enrichment | Openprise
Why Ops teams choose Openprise
See how a purpose-built orchestration platform outperforms single-vendor enrichment where data quality actually counts.
Why Openprise is the right choice
Multi-Vendor Enrichment (MVE) waterfalls coverage across every vendor you choose — no single point of failure
Cleans and standardizes your data before sending it to enrichment vendors, so match rates improve at the source
Works with any data vendor you already use — ZoomInfo, Cognism, D&B, and more
Full visibility into enrichment performance by region, vendor, and field — so you can optimize spend and negotiate contracts
Where traditional data vendors break down
Single-vendor coverage leaves 40–50% of your records unenriched, especially internationally
No control over match logic — you get what the vendor gives you, nothing more
No data cleaning before enrichment: bad input formats mean lower match rates and wasted credits
Zero visibility into what matched, what didn't, and why — making ROI nearly impossible to prove
Feature comparison
Orchestrated multi-vendor enrichment vs. single-vendor data providers
| Feature | Openprise | Others |
|---|---|---|
| Multi-vendor enrichment waterfall | Yes — orchestrate across all your chosen vendors in a single pipeline | No — single-vendor coverage only; gaps go unfilled |
| Data cleaning before enrichment | Yes — standardizes fields, fixes formats, and deduplicates before sending records out | No — enrichment runs on whatever data you provide, bad or otherwise |
| International and EMEA coverage | Yes — MVE combines best-fit vendors by geography; fill gaps ZoomInfo misses in EMEA | Limited — most US-centric vendors have materially lower international match rates |
| AI-enhanced enrichment | Yes — AI research finds data vendors can't: funding signals, locations, practice areas, tech usage | No — limited to the vendor's own database; no AI-augmented research layer |
| Enrichment ROI reporting | Yes — custom dashboards show match rates by vendor, region, and field; built for contract negotiation | No — vendors show aggregate match rates, not the granular view Ops teams need |
Questions
We already have ZoomInfo. Why do we need Openprise?
Because no single vendor matches everything. Even the best data providers leave 40–50% of records unenriched — particularly in EMEA, SMB, and niche verticals. Openprise's Multi-Vendor Enrichment (MVE) runs a waterfall across the vendors you choose: ZoomInfo first, then a secondary vendor for the gaps, then a tertiary for anything remaining. Palo Alto Networks went from a 50–60% match rate with ZoomInfo alone to above 85% after implementing Openprise's MVE waterfall.
Does Openprise replace our data vendors?
No. Openprise is the orchestration layer on top of your data vendors — not a replacement for them. You keep the vendor relationships you trust. Openprise routes each record through the right vendor in the right order, cleans your data before it goes out for enrichment, and gives you the reporting to see exactly what each vendor delivered.
How does cleaning data before enrichment actually improve match rates?
Enrichment vendors match against your records using fields like phone number, email, company name, and website. If those fields contain formatting errors — wrong bracket placement, extra digits in a phone number, inconsistent company name spellings — the vendor's matching algorithm fails on records it could have matched with clean input. Openprise standardizes and corrects those fields before the record ever leaves your system.
How long does implementation take?
Most teams configure their first enrichment waterfall in under two weeks. The no-code recipe builder means your Ops team sets the vendor order, field mapping, and fallback logic without writing a line of code. When your coverage or contract priorities change, you adjust the recipe — no dev ticket, no redeployment.
Can we use Openprise to control our enrichment spend?
Yes — and this is one of the highest-value use cases. Openprise's enrichment reporting shows you match rates by vendor, region, field, and record type. You see exactly which vendor is performing, where the gaps are, and what each record you enrich. Teams use this data to renegotiate contracts, consolidate redundant vendors, and cut spend on data they're not keeping.
Customer stories
See how enterprise Ops teams turned single-vendor gaps into full-coverage enrichment — without replacing the vendors they trust.
“Something super unique about Openprise is they can clean your data. If you have phone number formats that are incorrect, the brackets in the wrong place, or too many digits, they can clean it up 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
“The waterfall solution is pretty much what Openprise has. They partner with multiple vendors, and we can choose the recipe — which vendor we want first for data enrichment, which one second, which one third. It's an ideal solution. We don't have to manage all these different vendors; we have everything in a single platform and we just adjust the recipes.”
— Rupal Shah, Data Systems Manager, MNTN
Stop paying for data gaps you can fix. See how Openprise's Multi-Vendor Enrichment fills the coverage gaps your primary data vendor leaves behind.