Sub-Category

Contact Data Provider

For teams that need accurate, up-to-date contact and company data to find and reach the right people — compare providers on coverage, verification and delivery method.

122 businesses

Demandbase

San Francisco, California, United States

Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. With a unified view of data…

4.3 773 reviews

Priority Engine

Newton, Massachusetts, United States

Informa techtarget informs, influences and connects the world’s technology buyers and sellers, helping accelerate growth from r&d…

4.3 301 reviews

SellHack

Lakewood, Ohio, United States

Uncover hidden email addresses and info using our browser extension button on social profiles. Recruiters and biz dev…

4.3 16 reviews

ZoomInfo

Vancouver, Washington, United States

Zoominfo (nasdaq: GTM) is the go-to-market platform that helps businesses find, acquire and grow their customers. Zoominfo…

4.3 58 reviews

B2Brain

Wilmington, Delaware, United States

B2brain enables event and trade show exhibitors to generate pipeline, revenue and ROI from multiple event motions: Booth centric…

4.2 3 reviews

DataBank

Dallas, Texas, United States

Databank holdings ltd. Is a leading provider of enterprise-class data center, cloud, and interconnection services, offering…

4.2

Datanyze

Durham, North Carolina, United States

Datanyze helps sales and marketing professionals find and connect with B2B prospects, supplying actionable contact information…

4.2 441 reviews

SalesFuel

Westerville, Ohio, United States

Founded in 1989, salesfuel® has a proven track record of offering a SaaS-based portfolio of sales tools, training and…

4.0 7 reviews

Tropar� mProspector

Laguna Beach, California, United States

Troparé is a software company developing self-service B2B data solutions that empower marketing and sales professionals to…

4.0

Zywave

Milwaukee, Wisconsin, United States

At zywave, we don’t just build technology-we amplify impact. Our work empowers insurers and brokers to protect people and…

4.0

InfluxData

San Francisco, California, United States

Influxdata is the creator of influxdb, the leading time series platform used to collect, store, and analyze all time series data…

3.7

MixRank

San Francisco, California, United States

Mixrank is a premier data intelligence platform that aggregates and refines large datasets on professionals, companies, and job…

3.7 6 reviews

Data Intensity

Covington, Kentucky, United States

Data intensity is an industry-leading Oracle cloud managed services provider (msp) delivering world-class managed services for…

3.5

ReadyContacts

Santa Clara, California, United States

Ready leads is the go-to destination for B2B revenue and growth professionals to get actionable leads for sales & marketing…

2.3 3 reviews

Datacubed Health

King Of Prussia, Pennsylvania, United States

Datacubed health is a pioneering eclinical technology company built from the ground up by industry veterans who wanted to create…

1.0

1010data

New York, New York, United States

For more than 20 years, 1010data has helped financial, retail and consumer goods customers monitor shifts in consumer demand and…

Unrated

6Sense Insights

San Francisco, California, United States

6sense is on a mission to revolutionize the way B2B organizations create revenue by predicting customers most likely to buy and…

Unrated

Ads Data Direct

Lake Worth, Florida, United States

Ads data direct was formed to provide a better experience for advertisers and their agencies to reach active and responsive…

Unrated

Affinity Answers

Austin, Texas, United States

Affinity answers is a data, solutions & services company that helps brands better understand and activate against an…

Unrated

Aged Lead Store

Irvine, California, United States

Self-service, customer acquisition platform where insurance agents and other financial professionals can search our internet…

Unrated

Aidentified

Concord, Massachusetts, United States

Our passion to reshape the way people prospect through innovative uses of technology and data inspired us to launch aidentified…

Unrated
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Showing 48 of 122 — 74 more to see.

These businesses sell access to databases of business contacts and company records: names, job titles, verified emails, direct-dial and mobile numbers, org structure, and often technographic or intent signals layered on top. You use them by searching a platform, pulling data through a browser extension while you're on LinkedIn or a company website, or pushing enrichment straight into your CRM via API or native integration. What changes for a customer is that a target account stops being a company name and becomes a named, reachable person with a title and a working email, without a rep spending an afternoon guessing address formats or scraping LinkedIn by hand.

People end up looking for this when their pipeline has a data problem rather than a demand problem. Lists bought or built two years ago are full of people who've since changed jobs. Email bounce rates are climbing and starting to hurt sender reputation. Reps are manually verifying contacts before every outbound sequence, or worse, sending to guessed addresses. Marketing has a target account list from intent data or ABM tooling but no reliable way to identify or reach the actual buyers inside those accounts. CRM records are stale enough that reporting and territory planning are unreliable.

Providers differ mainly in how they source and verify data, and how they get it into your workflow. Some rely on large-scale web crawling and public-record aggregation, giving broad coverage but variable accuracy; others verify continuously through email pings, phone confirmation or human QA, which costs more but bounces less. Coverage also varies sharply by geography, industry and seniority — a database strong on US SaaS contacts may be thin on European manufacturing. Delivery matters too: a browser plugin for one-off prospecting is a different buying decision from an API-based waterfall enrichment feeding your CRM automatically. Worth comparing directly: refresh frequency, verification method, compliance with GDPR/CCPA on how data was originally sourced and consented, and whether pricing is credit-based (cheap at low volume, expensive at scale) or seat-based.

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