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.

41 businesses

Blue Hill Data Services

Pearl River, New York, United States

Blue hill data services helps customers reduce their operating costs and minimize risk by providing fully managed data center…

4.8

PulsePoint

New York, New York, United States

Pulsepoint, a division of internet brands, is an award-winning, leading technology company that uses real-world data in real-time…

4.8

Circana

Chicago, Illinois, United States

At circana, we measure and accelerate demand. It’s that simple. We partner with brands to address their toughest business…

4.7

Highspot

Seattle, Washington, United States

Highspot helps companies around the world turn go-to-market strategy into consistent, revenue-driving execution. Our unified…

4.7 972 reviews

Mindtickle

San Francisco, California, United States

Mindtickle helps businesses grow revenue and retain customers by improving performance in sales and customer support teams. Our…

4.7 1677 reviews

Ombud

Denver, Colorado, United States

Ombud enables companies to curate knowledge, collaborate, and automate the management and production of documents. Common use…

4.7 24 reviews

BetterUp

Austin, Texas, United States

At betterup, we’re bringing the power of human transformation to individuals and workforces everywhere. Our mission? To help…

4.6 14 reviews

GetAccept

Palo Alto, California, United States

Getaccept is the #1 AI digital sales room helping you to run every deal like your best sales rep. More than 5000 companies…

4.6 626 reviews

Mixmax

San Francisco, California, United States

Mixmax tells sellers exactly what to do next and helps them do it, so they stay focused, fast, and in control. Our context-aware…

4.6 1155 reviews Per user

RelPro

Short Hills, New Jersey, United States

Relpro delivers a unique combination of smart prospecting, quality leads and targeted intelligence for sales, marketing and…

4.6 174 reviews Quote-based

SalesHood

San Francisco, California, United States

Saleshood’s revenue enablement platform hyper-personalizes the customer journey by guiding sellers on what to do, what to share…

4.6 455 reviews

Salesloft

Atlanta, Georgia, United States

Together, clari and salesloft create a category-transforming AI company for revenue, building the foundation for a predictive…

4.5 3354 reviews

6sense

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…

4.4 483 reviews

LeadsBridge

Austin, Texas, United States

Leadsbridge is an ipaas automation solution that enables marketers and advertisers to enhance their omnichannel strategy and…

4.4 32 reviews

Yesware

Boston, Massachusetts, United States

Yesware helps high-performing sales teams do meaningful email outreach at scale. If you need to drive more revenue through email…

4.4 765 reviews

Degreed

Pleasanton, California, United States

Degreed is the AI-native learning platform that helps you continuously transform your workforce. We help enterprise organizations…

4.3 33 reviews

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

Instapage

San Francisco, California, United States

Instapage is a complete growth marketing platform with the #1-rated builder for PPC, SEO, demand generation, a/b testing…

4.3 433 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

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
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Showing 24 of 41 — 17 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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