At zywave, we don’t just build technology-we amplify impact. Our work empowers insurers and brokers to protect people 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.
64 businesses
Qualfon provides 360 degrees of customer experience support for your business with mission-driven processes that keep each person…
We are the leading integrated sales and marketing technology organization purpose-built to help B2B enterprises navigate and…
Ready leads is the go-to destination for B2B revenue and growth professionals to get actionable leads for sales & marketing…
Our passion to reshape the way people prospect through innovative uses of technology and data inspired us to launch aidentified…
Altair data is leading the way for database and direct-to-consumer marketing. Our team works with the nation’s top mortgage…
We’re a global partner delivering data and intelligence on the most impactful people to our clients’ success. Altrata is…
GTM agents handle everything from uncovering hidden high-fit accounts to scoring inbound leads in real time. They simplify…
We streamline your sales, marketing, and operations in HubSpot, the most powerful business automation software. You build a…
Integrated medical data provides information services to healthcare organizations for direct marketing, sales force integration…
Listkit is a leading B2B data provider that helps businesses build hyper-targeted contact lists without the need for manual…
We help marketers spend more time marketing and less time digging through data. Mountaintop data provides data cleaning and…
Mlc's primary objective is to create the sales pipeline for our clients through lead generation. We have a very good track record…
Audience targeting and intelligence solutions that work. Exceptionally well. Audience targeting is often inefficient, incorrect…
The channel company is enabling technology partnerships across the channel eco-system. With more than 3 decades of experience as…
The swarm curates a rich dataset of 580m profiles with daily job changes, 100m companies with fundraising data, and a unique…
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.