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.

211 businesses

Measure, verify, and prove ROI for every podcast, streaming, broadcast radio and audio ad. Smart ad targeting, incrementality…

Unrated

Possiblenow is the pioneer and leader in customer contact compliance. From Federal and state regulations to international laws…

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PossibleNOW

Duluth, Georgia, United States

Possiblenow is the pioneer and leader in customer contact compliance. From Federal and state regulations to international laws…

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We measure ooh, dooh, mooh, and paid digital media. We measure for brand lift, foot traffic, in-app and web site activity.

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Tie (formerly Revenue Roll) is the AI shopper intelligence platform for ecommerce brands. Identify anonymous visitors, predict…

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SafeGraph is a geospatial data company that curates high-precision data on millions of places around the globe. Our datasets…

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Scout

San Antonio, Texas, United States

Stirista is the only company that combines data, email, and digital execution to help clients acquire and retain customers by…

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Get unbreakable low-latency, high-throughput performance for massive AI workloads — from million-OPS feature stores to…

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SentiLink’s technology helps you detect and block synthetic identities, where the name, date of birth, and SSN don’t correspond…

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Share Local Media

New York, New York, United States

Share local media, or slm, is a rapidly growing startup reimagining the world of offline marketing for tech and e-commerce…

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SheerID

Portland, Oregon, United States

Sheerid is the leading provider for verifying and engaging high-value audiences, and is trusted by hundreds of the world's most…

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Sheerid is the leading provider for verifying and engaging high-value audiences, and is trusted by hundreds of the world's most…

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Shift7 Digital

New York, New York, United States

Deg creates digital marketing, commerce, and collaboration strategies that empower organizations to amplify their competitive…

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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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