Sub-Category

Broker Registries

For teams that need one accurate record of prospects, content, training and activity feeding their sales stack, instead of scattered spreadsheets and half-synced tools.

783 businesses

At Wiland, we help brands and nonprofits find, keep, and grow their best customers by transforming extensive consumer spend and…

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Wiland

Niwot, Colorado, United States

Wiland is a data science company dedicated to helping brands and nonprofits find, keep, and grow their best customers. Using…

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WNDYR

Houston, Texas, United States

Wndyr delivers robust AI solutions while transforming your organization for sustained competitive advantage. Quick wins that…

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Wunderkind Corporation

New York, New York, United States

Wunderkind is pioneering a new category of AI agentic marketing decisioning - where identity meets AI to drive scalable…

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Xcelerated Data delivers consumer data solutions built on identity resolution, data hygiene, enrichment, and activation for…

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Xcelerated Data

Fort Myers, Florida, United States

This is how we deliver greatness to our clients We fix data so that businesses can make better decisions and improve their…

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Foundation model to power AI Transformation. Anticipate consumer demand with Yobi’s flagship behavioral Machine Learning model.

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ZeroToOne is an AI platform built to help the world's largest brands reduce wasted media spend and create tailored customer…

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Zerotoone.AI is a behavioral AI company building large behavioral models (lbms) that predict real-world actions at enterprise…

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Zeta Global Corp.

New York, New York, United States

At zeta global (nyse: zeta), we help enterprise brands and agencies achieve the impossible™ with superintelligent marketing…

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Ziff Davis (Nasdaq: ZD) is a vertically focused digital media and internet company whose portfolio includes leading brands in…

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ZS Associates

Evanston, Illinois, United States

Zs is a management consulting and technology firm that partners with companies to improve life and how we live it. We transform…

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These businesses are hired to build and maintain the record that sales and marketing teams actually work from — who the prospects and accounts are, which content or proposal a rep sent and whether it was opened, what a rep has been trained and certified on, who registered for an event, how someone used the product before renewal came up, and where a lead came from before it hit the CRM. Once one of these is in place, a rep stops hunting for the current deck, marketing can see which accounts are actually engaging rather than guessing, and operations has a single place leads and activity flow through instead of a chain of exports and manual updates.

People start looking for this when the data that should support a deal is scattered across inboxes, ad accounts, spreadsheets, and someone's memory. Reps are sending outdated collateral because nobody owns the content library. Leads generated on a Facebook or LinkedIn campaign sit for days before anyone pushes them into the CRM. An event has three hundred registrants and nobody can say how many became pipeline. A customer churns and it turns out their usage had been dropping for months, but nobody was watching. Sales leadership asks how reps are actually performing against training or messaging, and the honest answer is "we don't really know." The common thread is a gap between where activity happens and where it's recorded.

The providers here split by which record they consider the core one. Some are built around content and proposals — tracking what's sent, opened, and signed. Some are built around people and accounts — enriching contact and firmographic data so targeting is based on something real. Others focus on behaviour — session or product usage data that flags intent or churn risk. And a separate group exists purely to move data between systems, catching leads at the point of capture (ad platform, event, webinar) and routing them before they go stale. When comparing them, look at whether the tool is meant to be the system of record or just a pipe between two others, how deep its native integrations run into your CRM and ad accounts, whether reporting is real-time or batched overnight, and how pricing scales — by seat, by contact volume, or by data volume — since that decides whether it stays affordable as the team or the account list grows.

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