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The B2B contact enrichment tools we recommend to partners in 2026

Dan Bulteel

Most of the companies we work with are venture-backed, somewhere between their first sales hire and a full go-to-market team. At that stage the CRM fills up fast. Reps build lists, marketing imports event leads, a new SDR uploads a spreadsheet, and within a quarter a good share of the records are stale, duplicated, or missing the one field that matters. Contact enrichment is the unglamorous fix.

Which contact enrichment tool should you start with?

For most teams, FullEnrich is a sensible place to start. It checks more than 20 data providers one after another, so you’re not depending on a single database being strong in your market. It fits a normal GTM stack without a long setup, which is why it’s the usual answer when match rate matters.

Clay is the pick if you have a RevOps owner and want to design the whole process yourself. Apollo makes sense if your SDRs would rather have data and outbound in one place.

Our shortlist

Tool Choose it when Our view
FullEnrich You want the best match rate without building a system Where we’d usually start for verified coverage
Clay You have a RevOps owner and want to design the workflow A flexible builder with enrichment built in
Apollo.io Your SDR team wants data and outbound in one place Convenient, with some data trade-offs at the edges
ZoomInfo You’re enterprise and will use the signals as well as the data Deep data, with a price to match
Lusha An individual rep needs quick one-off lookups Fast answers, no setup
People Data Labs You have engineers and want data inside your own product A strong API foundation rather than a tool for reps

Details are drawn from public information and can change. Speak to each company before committing.

How the tools compare

FullEnrich

If you only test one service, FullEnrich is a reasonable one to pick. Its waterfall model gives each record more chances to find a verified match, which helps most when your list covers different roles and markets. It also fits the way most teams already work, with integrations for HubSpot, Salesforce, Pipedrive, Google Sheets, Zapier, and Make, plus an API for custom setups. As with any enrichment provider, results vary by audience and geography, so run a sample of your own data before you commit.

Clay

Clay is closer to an operations layer than a simple enrichment service. It lets you combine providers, research, scoring, and routing in one table-based workflow. That freedom needs an owner. With a good revenue operations person behind it, Clay can bring order to a complicated GTM motion. Without one, the workflows get hard to follow and harder to maintain.

Apollo.io

Apollo is the convenient choice. Prospecting, enrichment, and sales sequences live in one place, which saves SDR teams from jumping between products. The compromise is data quality at the edges. It’s usually fine for common profiles in major markets, but tougher segments and smaller markets may need a dedicated enrichment layer on top.

ZoomInfo

ZoomInfo is a bigger purchase. Alongside contact and company data, you get intent and technology signals, plus the setup and governance that come with an enterprise system. It can be worth the cost when a team has a clear plan for using all of that. If you don’t, you’ll be paying for a lot you never touch.

Lusha

Lusha is for when you need an answer now and don’t want to build anything. The Chrome extension makes one-off lookups easy while you’re on LinkedIn or a company website. It’s not built for large enrichment jobs or teams that need consistent coverage across several markets. For an individual rep who needs the occasional phone number or work email, that won’t matter.

People Data Labs

People Data Labs is the builder’s option. Its APIs feed person and company data into your product, warehouse, or internal tools. You’ll need engineering support and clear rules for resolving conflicts, removing duplicates, and deciding what counts as verified.

How to run a fair test

In the end the right choice comes down to your own data. Take a small sample that reflects the people you actually sell to and run it through two or three tools on this list. An afternoon doing that will tell you more than any headline about database size.

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