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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.
Date detective is on a mission to create a safer dating community through the power of information! We make it easy to…
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DataStat specializes in survey data collection services and advanced reporting, specifically in support of health services…
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Par technology corporation (nyse: par) is the agentic os for multi-unit operators, helping restaurant, retail, and high-volume…
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We’re here to help Ford Dealers and Lincoln Retailers succeed where it matters most – at retail. With innovative products and…
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DealerX is the premium provider of marketing, data and, analytics for the automotive vertical, serving thousands of automotive…
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Dealmachine helps real estate investors get more deals for less money with software for lead generation, lead filtering and…
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Decisionlinks is an Austin-based marketing technology company that helps companies find the perfect audience for their lead…
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Grow your business with DecisionLinks' smart data driven solutions. Drive growth with identity graphs, predictive analytics, and…
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Deep root is an audience-powered analytics company that does four things: 1. Identifies your organization’s ideal audiences 2…
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Providing you with the electoral insights needed to drive victory in an ever-changing electorate.
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Deepseek (深度求索), founded in 2023, is a chinese company dedicated to making agi a reality. Unravel the mystery of agi with…
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Deep sync is the AI-driven identity datatech helping brands, agencies, and platforms resolve fragmented customer data into a…
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Get the definitive picture of healthcare with robust data and analytics that offer the clarity you need to make smarter, faster…
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Galaz, Yamazaki, Ruiz Urquiza, S.C. es la firma miembro de Deloitte Touche Tohmatsu Limited en México. Somos la firma líder en…
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Deluxe, a trusted payments and data company, champions business so communities thrive. Our solutions help businesses pay, get…
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With proprietary data and omni-channel activation like events, content, programmatic and chat, we cut through the noise to reach…
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Demyst enables data teams to manage all their external data. External data orchestration at scale, with pipelines that provide…
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Demyst enables data teams to manage all their external data. External data orchestration at scale, with pipelines that provide…
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dentsu are champions for meaningful progress. We create award-winning solutions across media, creative and CXM.
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We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to…
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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.