Vdo.AI is a global advertising technology innovator, providing brands and web publishers with intelligent high impact solutions…
Sector
Digital Advertising Platforms
For businesses that need to buy, sell, target or measure digital advertising at scale, and for teams trying to stop wasted ad spend or unsold inventory.
16 businesses
Adtelligent is a global advertising technology company offering in-house solutions that help online media companies, digital…
With 350+ publishers registered over the last 2 years, inboxads is the fastest-growing email monetization solution on the market…
Magnetic is an artificial intelligence company that uses machine learning to deliver smarter, faster, and more effective…
Sharethrough merged with district m in February 2021 to form what is now one of the leading independent global ad exchanges…
W4 llc was acquired by digital media solutions on July 1, 2018. The w4 performance ad market™ was officially wound down on jan 1…
Powerlinks media, ltd. Is the advertising industry’s leading relevance automation platform, powering growth for some of the…
Engageya (engage your audience) offers a personalized & semantic recommendation platform empowering networks with a private label…
Improving digital advertising and online privacy.
Whatrunswhere is the premiere media intelligence platform for desktop, mobile, and native display advertising. Since 2011, we've…
Triplelift is the creative ssp that transforms digital advertising through creative technology and innovative ad formats. We help…
Mgid is a global advertising platform helping brands and publishers succeed on the open web with performance-driven, AI-powered…
Admedia helps agencies and brands meet their KPIs and hit their ROI objectives. Admedia’s cross-channel advertising platform…
Native advertising is a form of online advertising that matches the form and function of the platform or website on which it…
Wisconsin-based okanjo, is disrupting the affiliate program and marketing space by providing affiliate and influencer networks…
Don't replace what's working. Add incremental scale. Perform[cb]'s outcome engine discovers your next growth channel - reaching…
These businesses build and run the infrastructure that moves money through digital advertising: the platforms that buy impressions on exchanges, the networks that connect advertisers to publisher inventory, the tools that manage a campaign's bidding and creative rotation, and the systems that stitch together audience data so an ad reaches the right person. Hire one and what changes is operational — you stop manually setting bids in ten different dashboards, you get a single view of where spend is going across mobile, display, native and programmatic channels, and decisions about targeting, pacing and placement start happening on data rather than guesswork.
People end up here because something concrete is broken. A marketing team is spending across several channels with no consistent way to compare performance, or spend is climbing while conversions stay flat and nobody can say why. A publisher has inventory sitting unsold or being sold too cheaply through a single network. Someone has noticed a chunk of traffic looks like bots and suspects click fraud is eating the budget. Or growth has stalled because the audience data used for targeting is thin, third-party cookies are disappearing, and campaigns are reaching fewer of the right people than they used to.
The providers here split roughly by which side of the transaction they serve and how much they automate. Some are demand-side, built for advertisers to plan, bid and optimise campaigns; others are supply-side, built for publishers to manage and price their inventory; some sit in the middle as networks or data platforms matching the two. Within that, the real differences to compare are: how much is self-serve dashboard versus managed service with an account team doing the work for you; how fraud detection actually works (rules-based filtering versus behavioural modelling) and how transparent the reporting is; whether the data layer relies on first-party data you own or third-party matching that's getting harder to rely on; and how deep the integration goes with the exchanges and channels you actually use, since a platform that's excellent for mobile app install campaigns may be weak on native or CTV. Pricing models vary too — CPM, CPC, percentage of managed spend — and that affects whether the incentives are aligned with your results or just with volume.