Steppingblocks is a big data analytics company that provides workforce and education insights using advanced machine learning and…
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.
20 businesses
Dataiku is the platform for AI success, the enterprise orchestration layer for building, deploying, and governing AI. In a single…
On February 21, 2022, movable ink acquired coherent path.
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Above data is an applied AI platform for data-driven marketing. Our platform brings structure & clarity to the messy worlds of…
We provide high-quality ctv, mobile & desktop audience data for multi-channel campaigns.
With over 1 years of building one of the most advanced identity graphs at big data scale, our data is more than just vast-it’s…
Civis analytics helps organizations use data to gain a competitive advantage in how they identify, attract, and engage their…
Datalab USA is an analytics-driven award-winning database marketing services company that focuses on optimizing multichannel…
Fi navigator is the data and analytics platform guiding performance resourcing and strategy development for the u.s. Banking…
Lotadata is short for a lot of data. We curate geospatial ground truth data sets by combining public and private data sources on…
Revelio labs is the world's leading workforce intelligence platform, helping organizations better understand the workforce by…
Scylladb is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the…
Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with…
Teads holding co. (“teads”) (nasdaq: tead) is a leading omnichannel advertising platform focused on driving outcomes for brand…
Teads holding co. (“teads”) (nasdaq: tead) is a leading omnichannel advertising platform focused on driving outcomes for brand…
Venpath is the data marketplace for apps to monetize valuable user data in an anonymous, and privacy compliant manner. Only…
Veraset delivers high-quality, pseudonymized location data to fortune 500 companies, universities, and cutting edge startups…
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.