Category

Sales Intelligence Software

For companies whose sales teams need accurate data on who to contact, when to reach out, and what to say — sales intelligence software and data providers.

133 businesses

Enlyft

Kirkland, Washington, United States

Account intelligence for partner ecosystems. Enlyft is an AI-powered account intelligence platform built specifically for partner…

4.4 75 reviews

TechTarget Contact Data Services

Newton, Massachusetts, United States

Oceanos is a techtarget contact data solution. For more than 15 years, B2B marketing and sales organizations have successfully…

4.4 57 reviews

Winmo

Atlanta, Georgia, United States

The list online can now be found as winmo, llc. Through our brands, winmo, catapult new business, and aar partners, our teams of…

4.4 389 reviews

Ampliz APAC Intelligence

Emeryville, California, United States

Ampliz is the go-to healthcare data and intelligence platform for growth-driven teams. We deliver powerful insights on hospitals…

4.3 7 reviews Subscription

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

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

DataBank

Dallas, Texas, United States

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

4.2

SMARTe

Sunnyvale, California, United States

At smarte, we understand the challenges faced by revenue-generating teams. That's why we've created a global B2B sales…

4.2 Subscription

Direct Marketing Solutions

Portland, Oregon, United States

Dms is a national, vertically integrated, multichannel direct marketing company. We understand successful direct marketing…

4.0

Live Data Technologies

Santa Barbara, California, United States

Live data started with a question: “can job changes be tracked with info found on the open web?” Simply, we continually verify…

4.0 5 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

Whitepages

Seattle, Washington, United States

Founded in 1997, whitepages® is an industry leader in people search, reverse phone lookup, address verification, contact data…

4.0

Meltwater

New York, New York, United States

Klear is now officially part of meltwater. We invite you to join us on this journey by following meltwater. Learn more about the…

3.9 1218 reviews

Focus USA

Paramus, New Jersey, United States

Marketers use our data to deliver the right message to the right audience at the right time. Focus USA is a leading direct…

3.8

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

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

Qualfon

Highland Park, Michigan, United States

Qualfon provides 360 degrees of customer experience support for your business with mission-driven processes that keep each person…

3.5

The Shelf

Atlanta, Georgia, United States

We are the shelf the influencer operating system for modern ROI Your ROI is now at the mercy of algorithms. The old influencer…

3.5 1 reviews

Televerde

Phoenix, Arizona, United States

We are the leading integrated sales and marketing technology organization purpose-built to help B2B enterprises navigate and…

2.5 3 reviews
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Showing 48 of 133 — 85 more to see.

These businesses supply the data and signals a sales team needs to work a list that's actually worth working: verified contact details, org charts, company firmographics, technology stacks, funding events, hiring trends, and — increasingly — signs that a specific account is in-market right now. Hire one and what changes is simple: reps stop cold-guessing who to call and start prioritising accounts with a reason to buy, with a phone number and email that still work.

The trigger is usually a CRM full of dead contacts and a pipeline that doesn't match the target market. Reps are burning hours on LinkedIn trying to find the right person at an account, marketing is sending emails that bounce, and nobody can say with confidence which companies are actually shopping. Lists bought years ago have decayed — people change jobs constantly — and the sales team's instinct for who's a good fit isn't backed by any data on firmographics or buying signals.

Providers tackle this from different angles. Some are primarily data businesses: they build and maintain databases of contacts and companies, sourced from public filings, web crawling, partner networks or user-contributed data, then sell access via credits or seats. Others focus on intent — tracking web and content consumption to flag accounts researching a problem you solve, often layered on top of a data feed rather than replacing it. A separate group specialises in the harder, narrower job of registries and licensing data for regulated roles like brokers, where accuracy has legal consequences.

When comparing them, look past the feature list to the sourcing and refresh rate: how the contact and firmographic data is collected, how often it's verified, and what happens when it's wrong. Compare coverage by region and industry — a database strong in US tech accounts may be thin on European manufacturing. Check integration depth with your CRM and outbound tools, since data that sits in a separate dashboard rarely gets used. And weigh pricing models carefully: per-seat licensing suits steady daily use, while credit-based pricing can get expensive fast if your team pulls data in bulk.

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