Provyx vs. Cognism: Healthcare Data Comparison

Cognism

Founded 2015 · London, UK · $130M+ raised

What Cognism Offers

Cognism is a London-headquartered B2B sales intelligence platform that's grown quickly since its founding in 2015. The company has carved out a strong position in the European market and earned a reputation for data quality, particularly around direct-dial phone numbers. If you're running outbound sales in EMEA, Cognism is one of the first names that comes up, and for good reason.

The platform's headline feature is Diamond Data: phone-verified mobile numbers that Cognism's in-house research team has manually confirmed. This isn't just scraping numbers from the web or pulling them from third-party aggregators. Their team actually calls the numbers to verify they're active and reach the right person. For SDR teams that live and die by connect rates, this is a real differentiator. Cognism claims a significantly higher connect rate on Diamond Data numbers compared to unverified alternatives, and user reviews on G2 generally back that up. When your entire outbound motion depends on getting someone on the phone, having numbers that actually ring through to the right person matters more than having a larger but less accurate database.

Beyond phone numbers, Cognism provides a database of roughly 400 million business profiles with email addresses, company data, technographic signals, and intent data through partnerships. Their Chrome extension lets reps pull contact info while browsing LinkedIn, and their platform integrates with major CRMs like Salesforce and HubSpot. They also offer a prospecting tool for building targeted lists by industry, company size, job title, seniority, and geography. The workflow is familiar to anyone who's used a modern sales intelligence tool: define your ICP, build a list, enrich contacts, push to your CRM or sequencer.

One of Cognism's genuine strengths is compliance. They've invested heavily in GDPR compliance and maintain Do Not Call lists for multiple European countries, including the UK, Germany, France, Spain, Ireland, Belgium, and others. If your sales team operates across EU markets, this matters a lot. Data privacy regulations in Europe are strict and actively enforced, and Cognism's compliance infrastructure gives teams confidence that they're not running afoul of local laws. They also hold ISO 27001 and SOC 2 certifications, which enterprise procurement teams increasingly require.

Their data sourcing model combines several approaches. The Diamond Data phone verification is handled by a proprietary in-house team. Email and company data come from public sources, web scraping, and data partnerships. Cognism has also made acquisitions to expand its data assets and technology stack. The result is a platform that's broadest and deepest in European markets, with growing but still uneven coverage in North America.

On G2, Cognism holds a rating of approximately 4.6 stars with over 700 reviews. Users consistently praise the quality of phone-verified data, the ease of use of the Chrome extension, and the responsiveness of their customer success team. Negative reviews tend to focus on gaps in US data coverage, limited filtering for niche industries, and the cost relative to what smaller teams can afford. Several reviewers note that the platform works best when you're targeting mid-market and enterprise companies in European markets, and is less effective for specialized verticals or US-only outreach.

Cognism also offers Bombora intent data integration, which helps teams identify accounts that are actively researching topics related to their product. This can be useful for prioritizing outreach and timing campaigns around buying signals, though intent data quality varies across all providers and shouldn't be treated as a silver bullet. The intent signals work best when combined with accurate contact data, which brings the conversation back to whether Cognism's contact database has the coverage you need in your specific market.

In short, Cognism is a polished, well-reviewed platform that excels at a specific job: giving European-focused B2B sales teams verified phone numbers and compliant contact data. It's not trying to be everything to everyone, and within its sweet spot, it performs well. The question is whether that sweet spot overlaps with what healthcare teams actually need.

Pricing and Contracts

Cognism doesn't publish pricing on its website, which is standard for enterprise B2B data platforms. Based on publicly available estimates and user reports, annual contracts typically start in the $15,000 to $25,000 range per year, with costs scaling based on the number of seats, credit volume, and add-on features like intent data. Larger teams or organizations that need higher credit volumes can expect costs to climb above that range. Some reports from enterprise buyers suggest contracts in the $30,000 to $50,000+ range for multi-seat deployments with full feature access.

Annual contracts are the norm. Cognism generally doesn't offer month-to-month plans, and most users report signing 12-month agreements. Some teams have negotiated shorter pilot periods, but that's the exception rather than the rule. This means you're committing meaningful budget before you've fully validated whether the data works for your specific market. For healthcare teams evaluating the platform, this is a significant consideration: you're locking in for a year on a tool that may not have the provider-level data fields you need.

For teams focused on healthcare provider outreach in the US, the pricing question gets complicated. You're paying enterprise rates for a platform that wasn't built for your vertical. The phone-verified numbers are valuable if your targets are general business contacts, but healthcare provider workflows need NPI matching, specialty filtering, and practice-level location data that Cognism doesn't include. So you may find yourself paying $20,000+ per year and still needing a supplemental data source for your healthcare campaigns. That's effectively double the data spend for partial coverage in both tools.

Credit-based systems also create friction for teams that need large volumes of provider records. If you're building a list of 10,000 dermatologists or pulling contact data for every primary care provider in a three-state region, credit limits can become a bottleneck quickly. Healthcare data projects often involve bulk pulls—territory mapping, conference attendee enrichment, regional campaign targeting—and credit-based access models can make those projects more expensive than they need to be. It's worth asking detailed questions about credit allocation and overage costs during the sales process before you commit to a contract.

Where Cognism Falls Short for Healthcare Teams

Cognism is a strong platform for what it was designed to do. But if your outreach targets are healthcare providers in the United States, there are real gaps you should understand before signing a contract.

No NPI data. This is the most fundamental gap. The National Provider Identifier is the standard unique identifier for healthcare providers in the US. It's how CRMs, compliance teams, and marketing platforms track and deduplicate provider records. Cognism doesn't carry NPI numbers, which means you can't match their data against your existing provider databases, verify that a contact is a licensed provider, or filter by the NPI-linked taxonomy codes that define clinical specialties. For any team that already has NPI numbers in their CRM as primary identifiers, Cognism's data requires manual matching work just to be usable.

No taxonomy code filtering. Healthcare sales teams don't think in terms of generic job titles. They think in specialties: interventional cardiology, pediatric endocrinology, orthopedic surgery. The NUCC taxonomy system includes over 800 codes that map to specific provider types and specializations. Cognism's filtering relies on standard B2B fields like job title, industry, and company size. You can search for "cardiologist," but you can't distinguish between an interventional cardiologist and a cardiac electrophysiologist the way taxonomy codes allow. When your product is relevant to one subspecialty but not another, this distinction is the difference between a qualified lead and a wasted call.

Thin US healthcare coverage. Cognism's strongest data is in EMEA. While they've expanded their US database, user reviews consistently note that US coverage lags behind European data in both volume and accuracy. Layer on the healthcare vertical—where providers often work across multiple locations, use practice phone numbers instead of personal mobiles, and aren't well-represented in general B2B databases—and coverage gets even thinner. If you're targeting US healthcare providers specifically, you'll likely find significant gaps in Cognism's database compared to what a healthcare-focused data source provides.

No practice-level location data. Healthcare providers often practice at multiple locations. A surgeon might operate at two hospitals and see patients at a separate clinic. A primary care physician could split time between a main practice and a satellite office in a neighboring county. Cognism's data model is built around company-contact pairs, not provider-practice relationships. You won't get the multi-location practice data that field sales teams and regional marketers need to plan territory coverage effectively.

Phone-first model has limits in healthcare. Cognism's Diamond Data is built around verifying mobile numbers for business contacts. But many healthcare providers are best reached through practice phone numbers, office lines, or email. Cold-calling a surgeon's personal mobile is often less effective (and less welcome) than reaching their practice or office staff. In many healthcare sales workflows, the initial outreach goes through the practice or through a gatekeeper, not directly to a personal cell phone. The phone-verification advantage is real in general B2B but less of a differentiator in healthcare outreach, where the path to a conversation looks different.

No understanding of provider relationships. Healthcare sales often involves understanding referral networks, group practice affiliations, and hospital system relationships. A medical device company doesn't just need to find surgeons; they need to know which hospital system those surgeons operate in, which group practice they belong to, and what locations they cover. Cognism's data model doesn't capture these healthcare-specific relationships, because it was never designed to.