Since 2009, it vizion has consistently delivered high value to some of the world's largest oil and gas, manufacturing, chemical…
5.0
Category
Data Management Platforms (DMP)
For marketing and ad teams who need to unify scattered audience data into usable segments for ad targeting, and want to compare Data Management Platform vendors by data sources, identity approach and reach.
Precisefp is an AI-enabled data gathering and client engagement platform built for financial advisors. It gives firms a better…
4.8
4 reviews
Save time and money manipulating or protecting your data with proven low-code data management and masking software from iri, the…
4.5
Nutanix is a global leader in cloud software, offering organizations a single platform for running apps and data across clouds…
4.5
1 reviews
Usage-based
Lotame’s 20 years of earned expertise is a testament to our ability to drive change. Our innovation, creativity, and…
4.4
113 reviews
Tubular labs, the social video intelligence company, is the only solution to provide a unified view of the content, interests…
4.2
18 reviews
Core audience is the global entry point into hearst corporation’s digital network of content and audiences. Our experienced…
2.7
3 reviews
At digilant, we champion both emerging brands and small to mid-sized agencies to go farther than they can imagine through access…
2.0
2 reviews
4info is an identity and media solutions company, solving the digital and tv convergence. 4info’s platform powers people-based…
Unrated
7suite is a fully customizable data management stack offering data management, tag management, and content personalization…
Unrated
Accordant media makes advertising investments more successful for marketers by unlocking the value of audience data. Through a…
Unrated
Altrooz is building a next generation mobile data management platform (mdmp) to help marketers connect their mobile content with…
Unrated
Atlantis computing, winner of multiple best of vmworld and best of citrix synergy awards, offers the industry’s most flexible and…
Unrated
Audiencescience is the world's first advertising automation solution delivering simplicity, effectiveness and accountability at…
Unrated
Nautilus data technologies is an innovator in infrastructure technology, delivering breakthrough solutions to meet the evolving…
Unrated
Put it forward believes that people can do their best when the right information is put into their hands - in context. We create…
Unrated
Relationship one is a company focused on modernizing marketing for businesses through a combination of strategy, technology, and…
Unrated
Achieve more analytically & effortlessly Asa specializes in advanced analytics, predictive modeling, opportunity mining, scoring…
Unrated
Kbmg operated as a knowledge-based marketing solutions company to help businesses use their data to improve marketing…
Unrated
A Data Management Platform is hired to pull together the anonymous and pseudonymous signals a company generates through advertising and web activity — cookies, device IDs, ad impressions, site behaviour, app events, third-party data feeds — and turn them into audience segments that can be pushed out to demand-side platforms, ad exchanges and publisher ad servers. The concrete change for a customer is that instead of running campaigns against whatever targeting a single ad platform offers, they can build their own segments (past visitors, lookalikes of high-value customers, people who saw an ad but didn't convert), suppress audiences they don't want to pay to reach again, and see where their data overlaps across channels and vendors.
People go looking for this when their advertising data is scattered across a web analytics tool, an ad server, a CRM export and a handful of third-party data providers, and nobody can turn that into a single audience they can actually target or exclude. Media budgets get wasted showing ads to existing customers, retargeting lists sit unused because nobody can operationalise them, and campaign results can't be compared across platforms because each one only sees its own slice of the audience. The trigger is often sharper than that: third-party cookie changes and platform-level identity restrictions have made existing segments unreliable, and someone has been told to find a way to keep targeting working without them.
Providers differ mainly in what data they specialise in moving and how they resolve identity once cookies aren't reliable. Some are built around ingesting first-party data (CRM lists, hashed emails, app SKUs) and matching it to ad platforms; others are closer to data marketplaces, selling access to third-party audience segments built from panels or partner sites; a smaller group leans on contextual or cohort-based targeting that avoids individual identifiers altogether. Worth comparing directly: which DSPs, exchanges and ad servers they already connect to (integration gaps mean manual exports); how they handle identity resolution now that cross-site cookies are unreliable; whether pricing is a flat platform fee or scales with segment size and data usage, which changes fast once volumes grow; and how much reporting they give you on segment overlap and reach, since that's usually the thing teams discover they're missing only after they've committed to a platform.