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EX.CO, the machine-learning video platform trusted by the worlds leading media groups, today (January 6th, 2025) announced the expansion of its adserver to support new channels beyond online video. This multichannel programmatic solution now empowers connected TV (CTV) and [.] The post EX.CO
Marketing attribution and predictive analytics platforms are software that employ sophisticated statistical modeling and machinelearning to evaluate the impact of each marketing touch a buyer encounters along a purchase journey across all channels, with the goal of helping marketers allocate future spending.
Auction Process : The SSP conducts an auction among interested buyers, who bid on the ad impression in real-time. The highest bidder wins the right to display their ad to the user. With each SSP taking a small percentage of revenue, this business model can quickly add up for advertisers.
Entity Resolution to Eliminate Discrepancies One of the biggest challenges for publishers is eliminating discrepancies among their systems: adservers, SSPs, the OMS, CRMs, business intelligence tools, and the dreaded Excel spreadsheet where they may be manually recording data.
.” Magnite Launches New Demand Manager Tool Magnite, an independent sell-side advertising company, has announced a new machine-learning tool called ‘Demand Manager’. The feature uses machinelearning to automate prebid optimisation recommendations, based on adserver auction data and session data.
Google’s suite of advertising tools, including Google Ads and Google Analytics, provides a robust framework for tracking performance and adjusting strategies in real-time. These platforms also offer machinelearning capabilities to automate and optimize ad placements to maximize return on investment (ROI).
Artificial intelligence and machinelearning. Now, however, these systems have grown in sophistication, in part because machinelearning, by its very nature, improves as it’s fed more data. The following areas are worthy of scrutiny when you’re making a decision about a partner.
Google is a significant player, in some ways the backbone with their browser and their adserver being very commonly used. When you don’t have deterministic data, you have to fill the gaps with machinelearning. A: The timing is a bit too coincidental. This is a complicated industry; there are many players.
YY: I read that this new video solution fully reveals the scale of its marketplace through daily analysis of over three billion daily ad request that leverage machine-learning based pricing models. DH: Imagine if every minute you could check every ad and every metric for every ad to see the slightest changes trending up or down.
Many of the processes in current and long-standing ad ops workflows are heavily manual, like audience targeting, campaign set-up, optimization, and data analysis, to name a few. This doesn’t feel like it’s setting ad ops teams up for success. Let’s look at automation in the same light.
Simply put, programmatic ads automate the bidding processes, allowing the publisher to sell and the advertiser to buy ads at scale. It is designed to replace human interference and negotiations with AI optimization and machinelearning. Viewability Tracking.
and when John Nardone joined as CEO in 2015 after running the DMP [x+1] ( sold to Rocket Fuel), he began to refashion the company as a Google alternative complete with self-contained adserver and dynamic creative products. Steve’s Encore added a key analytical component to the product story.
FanDuel aimed to expand its customer base and cross-sell products for its existing customers, but also needed to measure and optimize ad performance using multi-touch attribution, as its ad programs work across many browsers and devices. while staying in alignment with consumer privacy regulations.
Mirrors enables precise, transparent, and effective brand safety and suitability solutions for online videos through its advanced AI and machinelearning capabilities.
We also give preference to publishers with Lotame Panorama ID-enabled via PreBid or adserver to ensure maximum scale of addressability. Could you elaborate on how this alignment is achieved and its impact on targeted advertising?
Key Features of a Demand-Side Platform (DSP) When developing a DSP, it’s essential to focus on the most important features of the platform, such as budgeting (aka, an ad banker), bidder, integrations, the user interface, the user profile database, the reporting module, the campaign tracker, and the adserver.
Auto ads (on versus off). Running AdSense as backfill on Google Ad Manager to compete in real-time with other demand partners you have in your stack. Running AdSense hardcoded (not using an adserver). You can also select which type of ad you want to use with auto ads.
By striking a balance between generating revenue and maintaining player engagement, implementing effective ad targeting strategies, and considering the format of their ads, publishers can successfully integrate in-game advertising into their products.
and when John Nardone joined as CEO in 2015 after running the DMP [x+1] ( sold to Rocket Fuel), he began to refashion the company as a Google alternative complete with self-contained adserver and dynamic creative products. Steve’s Encore added a key analytical component to the product story.
This sophisticated digital tool leverages algorithms and machinelearning to automate the purchase of ad space, targeting key decision-makers within businesses through digital channels. These tags play a crucial role in ensuring standardized communication between video players and adservers.
In a typical scenario, a programmatic advertiser would give a platform such as Visual IQ access to its adserver log files, and the platform would ingest data around each impression (publisher, size, version, time) as well as data about the desired goals or KPIs (sale, signup, click).
In a typical scenario, a programmatic advertiser would give a platform such as Visual IQ access to its adserver log files, and the platform would ingest data around each impression (publisher, size, version, time) as well as data about the desired goals or KPIs (sale, signup, click).
Federated learning, an advanced machinelearning algorithm that enables data analysis and processing on the device it was collected on, can strengthen ad optimization by building more accurate models of serving ads. To aggregate and analyze user data (e.g.,
Display Lumascape’s components are as follows: Ad Agencies. AdServers in Display Lumascape. Publishers’ Perspectives: Tag management acts as an adserver for vendor tags and allows publishers to manage when vendor tags serve, how frequently they should serve, in what order of priority, and the duration.
AdTech streamlines the ad buying and selling process as it becomes more complex with competition. The elements of the adtech domain, such as adservers , ad networks , ad exchange , DSP , SSP , real-time bidding , etc., It provides a way for better ad campaigns and higher yields in website monetization.
Piano worked with America Media to launch a new subscription landing page and implement machinelearning algorithms to segment and target users with dynamic offers — allowing the publisher to reach its annual goal of 10,000 subscribers in nine months. Its expansive toolkit offers media companies multiple ways to grow revenue.
Auction Process : The SSP conducts an auction among interested buyers, who bid on the ad impression in real time. The highest bidder wins the right to display their ad to the user. With each SSP taking a small percentage of revenue, this business model can start to add up quickly for advertisers.
Research by software vendor Capterra found that marketers report AI or machinelearning can help cut corners without sacrificing quality. Now that that hype has died down, it seems there are opportunities for robots and AI technology to work alongside people. Direct quote.
AdX supports header bidding, enabling publishers to offer their inventory to multiple ad exchanges before calling their adserver. Dynamic Allocation AdX’s dynamic allocation feature optimizes ad impressions in real-time by evaluating bids from AdX and AdSense.
The main difference lies not in the dynamic change of content but in machine-learning (ML) mechanisms. The user would then be shown ads for these products as they browse different websites. Their engines produce and control the design versions of ads required for a DCO campaign.
When a campaign is approved by ad ops, it’s placed in a queue on the adserver until the right time. Now, when a user opens up an app, the ad network’s SDK (or API, in some instances) is triggered, to highlight the fact that a particular person is ready to have an ad served to them.
Since this is an automated media buying process, they rely on AI or machinelearning algorithms. Direct Media Buying: Direct ad buying involves selling the publisher’s ad inventory manually or directly to the advertiser. The ad exchange follows this up with an auction to select the winning ad creative.
Their bandwidth might simply be too limited to load the ad in time. These can range from poorly configured adservers to broken tags and more. TargetVideos dynamic price floor optimizer uses machinelearning to figure out the best price floors for your inventory. Find out how to optimize your price floors.
The best monetization partner will ensure that your ad layouts, formats, and placements are tailored to your users’ needs. Many advanced partners like Automatad use machinelearning and data to optimize your user’s ad experience. Attempt to load a test ad using JavaScript and check if it renders on the page.
Mediavine’s technology is designed to maximize ad performance and revenue for publishers. Mediavine also employs machinelearning algorithms to analyze traffic and user behavior, optimizing ad placement and increasing publisher revenue.
So we saw Kevel as the opportunity to do the ‘one plus one is more than three’ thing - it's bringing the potential functionality that can be created from an adserver to be used - from a brand marketer’s perspective - on-site for personalization and other bits. Combining Kevel and Velocidi now makes that possible.
“The ‘Skyrise’ effect offers advertisers and agencies a real-world alternative to buying, planning and measuring media, powered by unrivalled data and insight,” added Skyrise MD Paul Barnard. Moloco Creates Streaming Media AdServerAd tech firm Moloco has created a new platform to serve streaming media and OTT providers, Axios has reported.
SSPs conduct millions of real-time auctions per second, providing a seamless and efficient process for advertisers to compete for ad space so that you, as a publisher, get the best yield for your ad inventory. Some SSPs that have addedad exchange services include Google Ad Manager, Amazon Publisher Services, and OpenX.
The SSP can be single-player or combined with other solutions such as adservers and data management platforms to get the best results. Header-bidding auction is an advanced programmatic deal where publishers propose their inventory to various demand partners at the same time before making calls to their adservers.
Now, let us know the technologies in ad serving so that you can understand the process of serving video ads in the next section. Video ad networks : the network that brings collective demand for publishers. They help set up ad campaigns, video ads, reporting, and more.
Personalization at scale: Another advantage of programmatic video ads is that they can be personalized to massive scale and different audience groups. By utilizing AI and machinelearning, programmatic platforms like SpotX and TubeMogul create highly targeted ads that resonate with individual’s interests and reach a wider audience.
Snap Ramps Up AI Investment Snap is upping its AI investments in order to drive ad personalisation for brands, CEO Evan Spiegel told Bloomberg this week. billion in AI and machinelearning for the rest of 2024. The Snapchat parent company is estimated to be investing around $1.6
EX.CO, an online video platform, is expanding its adserver to support auctions in connected TV and digital OOH, the video tech firm announced on Monday. The update sees the company expand its ad serving capabilities beyond online video, enabling media owners to to run automated ad auctions in CTV and DOOH environments.
Makes CTV Move with MachineLearning-Driven Auctions EX.CO, an online video platform, is expanding its adserver to support auctions in connected TV and digital OOH, the video tech firm announced on Monday. This Week on VideoWeek Paramount Builds Out Unified Video Ad Product as Channel 5 Revamps Streaming Service EX.CO
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