You run three providers in a waterfall. You’re confident because if Provider A misses, Provider B catches it. It’s a bulletproof system—until it isn’t. Eventually, it happens: all three providers return the exact same incorrect email address. If these are different companies, why is the error identical? Because most enrichment tools don’t actually own their […]
You run three providers in a waterfall. You’re confident because if Provider A misses, Provider B catches it. It’s a bulletproof system—until it isn’t.
Eventually, it happens: all three providers return the exact same incorrect email address.
If these are different companies, why is the error identical? Because most enrichment tools don’t actually own their data.
They are different windows into the same dusty warehouse, querying the same upstream sources or scraping the same outdated web pages. When you buy “multi-provider” enrichment, you’re often just paying three times to access the same wrong answer.
When it comes to GTM strategy, there’s a massive difference between owning a database and aggregating one. Understanding that distinction is the difference between a clean pipeline and a burned domain.
The three data models on Clay
If you use Clay or a similar orchestration tool, providers generally fall into three buckets (and they are not created equal):
- Proprietary databases (Lusha, PDL, Clearbit): These providers build and maintain their own assets. Lusha, for example, manages a database of 280M+ prospects. Because the infrastructure is owned in-house, these providers control the verification loop. They don’t just find a record; they verify it, correct it, and hold exclusive data, like community-contributed contacts, that isn’t available on the open market.
- The standard: Lusha highlights 98% email deliverability and 85% phone accuracy.
- Aggregators (BetterContact, FullEnrich, Zeliq): These are essentially search engines for data. When a request is sent, they query 15–40+ upstream sources in real-time. They have no database of their own to clean or fix. They are pass-through entities.
- Resellers: These companies license data from a proprietary provider and put their own interface on top. They have zero control over how often that data is refreshed or how errors are corrected.
The real-time tradeoff
Aggregators market “real-time search” as the ultimate solution. It sounds better—always fresh, always live. But for a RevOps leader, real-time search has real failure modes.
A database has a memory
A proprietary database like Lusha compares today’s record to yesterday’s. It tracks the transition when a prospect moves companies.
Meanwhile, a real-time search sees every query in isolation. It has no historical baseline, so it can’t spot patterns of data decay.
The verification loop
Because Lusha owns the data, it runs proactive verification cycles. The system doesn’t wait for a user to ask for a contact to check if it’s still valid. Aggregators only check what is requested, exactly when it is requested. If the upstream source is wrong, the aggregator is wrong.
Proprietary means control
It means control over the collection method (partnerships vs. raw scraping) and the update cadence (Lusha updates daily; some peers update monthly). If a record is wrong in a proprietary DB, it can be fixed. In an aggregator’s world, that error stays in the ecosystem until the upstream source happens to change it.
The compliance gap
This is where the distinction becomes critical for legal and ops teams.
If data is scraped in real-time, there is no effective way to control how that data was originally published or whether the person has since withdrawn their consent. The data is served to the sales team before it can be vetted.
A proprietary database acts as a filter. Before a record enters the system, it is vetted for compliance. This includes applying opt-out lists, honoring deletion requests, and ensuring the collection method meets independent privacy standards. Real-time search skips these safety checks by design. You get the data faster, but you inherit the risk.
The honest caveat: Why people use aggregators
Let’s be clear: Aggregators will almost always find more raw matches than a single proprietary provider.
Querying 40 sources will usually beat one on raw count. If the only goal is to maximize the sheer volume of leads, regardless of bounce rates, phone accuracy, or GDPR compliance, an aggregator is a powerful tool.
However, if the goal is better pipeline rather than more leads, volume is a secondary metric. A thousand leads don’t matter if 300 of them bounce and land a domain on a blacklist. Use a proprietary database when accuracy, compliance, or European coverage matters more than raw count.
Asking the difficult questions
Ask any provider: “Where did this record come from, and when was it last verified?”
If they can’t answer, they don’t own the data, and they can’t vouch for it.
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