showWP([{"title":"E-Planning Takes Steps to Ensure Transparency in Programmatic Advertising with Integration of Pixalate’s MRT","content":"\n

April 1, 2024<\/p>\n\n\n\n

E-Planning, a leader in the field of programmatic advertising solutions, is pleased to announce a significant enhancement of its services through an expanded partnership with Pixalate. Focused on advancing Connected TV (CTV) in programmatic advertising, the introduction of Pixalate\u2019s Media Ratings Terminal (MRT) service in late 2023 represents a breakthrough in risk management for compliance, privacy, and ratings across CTV, mobile apps, and websites. <\/p>\n\n\n\n

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This upgrade signifies a substantial improvement in service quality and reinforces a partnership with Pixalate that has been evolving since 2021. Since the partnership\u2019s inception in 2021, E-Planning has utilized Pixalate to enhance programmatic buying services. The partnership began with introducing Pixalate\u2019s blocklist feature, which enabled fine-tuning of site, mobile app, or CTV app targeting. <\/p>\n\n\n\n

In 2022, additional Pixalate services like Pre-bid and PostBid were introduced. Pixalate’s suite of tools and services gives E-Planning the confidence to offer its clients risk reduction in their investments, enhanced brand safety, and assurance of traffic quality. Pixalate is recognized as a leading solution in preventing invalid traffic (IVT) across CT, mobile apps, and websites, with data on over 10 million apps, 80 million domains, and over 300 million OTT devices. Pixalate holds Media Rating Council (MRC) accreditation for the detection and filtration of IVT across CTV, mobile app, mobile web, and desktop. <\/p>\n\n\n\n

\u201cE-Planning\u2019s concerted effort toward ad transparency is a testament to their commitment to quality,\u201d said Christine Rex, Director of Public Affairs at Pixalate. \u201cWe\u2019re encouraged in our partnerships\u2019 ability to improve efficiency and trust in the ecosystem.\u201d By fostering such partnerships, E-Planning can concentrate on expanding its service offerings, thereby reinforcing its extensive 20-year tenure in the programmatic advertising market. In 2024, E-Planning is poised to capitalize on burgeoning sectors such as CTV while integrating artificial intelligence to bolster its dedication to technological innovation in programmatic purchasing. <\/strong><\/p>\n\n\n\n

Both companies are committed to certifying and continually improving their practices to provide a safer and more reliable advertising environment. About Pixalate Pixalate is a global platform specializing in privacy compliance, ad fraud prevention, and digital ad supply chain data intelligence. <\/p>\n\n\n\n

Founded in 2012, Pixalate is trusted by regulators, data researchers, advertisers, publishers, ad tech platforms, and financial analysts across the Connected TV (CTV), mobile app, and website ecosystems. Pixalate is accredited by the MRC for the detection and filtration of Sophisticated Invalid Traffic (SIVT). pixalate.com<\/a><\/p>\n","date":"2024-04-02T15:49:19","link":"https:\/\/blog.e-planning.net\/e-planning-takes-steps-to-ensure-transparency-in-programmatic-advertising-with-integration-of-pixalates-mrt\/","shortContent":"April 1, 2024 E-Planning, a leader in the field of programmatic advertising solutions, is pleased to announce a significant enhancement of its services through an expanded partnership with Pixalate. Focused on advancing Connected TV (CTV) in programmatic advertising, the introduction of Pixalate\u2019s Media Ratings Terminal (MRT) service in late 2023 represents a breakthrough in risk [...]","rawDate":1712072959,"img":"https:\/\/blog.e-planning.net\/wp-content\/uploads\/2024\/04\/Opciones-de-Banners-Blog-Post_-E-Planning-11-768x432.png","lang":"en"},{"title":"Transforming the Known: A Journey Back to the Essence of Contextual Advertising","content":"\n

Amidst the current buzz about the departure of cookies from the programmatic advertising landscape and the strategies being devised to adapt to this change, the spotlight is turning back to the concept of Contextual Advertising. As the foundation of traditional advertising, Contextual Advertising had faded into the background with the rise of behavior-based advertising. However, it is now regaining momentum.<\/p>\n\n\n\n

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The gradual elimination of third-party cookies presents a significant challenge in tracking user data. Without a unique identifier, the task of cross-website user tracking becomes more complex. Advertisers find themselves at a crucial juncture, actively seeking a solution that not only addresses the challenges of programmatic advertising but also upholds user privacy. Contextual Advertising has emerged as a solution gaining recognition and endorsement from industry experts.<\/p>\n\n\n\n

The most talked-about solution by experts: Contextual Advertising.<\/strong><\/p>\n\n\n\n

In the advertising industry, several strategic waves have countered adversities and aimed to achieve advertisers’ goals. Contextual advertising is not a novelty. This methodology, aligning ads with surrounding content, lost prominence when advertisers shifted strategies towards behavior targeting, a strategy yielding superior results by delivering personalized ads.<\/p>\n\n\n\n

However, the excess of this personalization saturated the industry, raising concerns about data misuse and digital privacy.<\/p>\n\n\n\n

With all these changes, it has been necessary to rethink strategies for placing ads efficiently and effectively. Contextual advertising emerges as the oldest route and now the safest path to navigate this new programmatic advertising adventure.<\/p>\n\n\n\n

Contextual advertising will be revisited from its essence but with a touch of AI allowing it to scan the content of web pages and apps, showing ads based on contextual information. A clear example would be content about automobiles, advertising the launch of a car brand. This ad isn’t triggered by behavior but rather by the relevance of the website’s content.<\/p>\n\n\n\n

What ensures better segmentation?<\/strong><\/p>\n\n\n\n

Technology advances, and this segmentation will also have its share. Recent algorithmic advances have helped advertisers achieve hyper-contextual targeting.<\/p>\n\n\n\n

Natural Language Processing (NLP) is used to analyze the text content of web pages to help advertisers understand content context.<\/p>\n\n\n\n

Machine learning is employed to develop algorithms predicting the likelihood of a user clicking on an ad. This can enhance Return on Investment (ROI) and ensure advertisers only pay for ads likely to be clicked.<\/p>\n\n\n\n

Hyper-contextual targeting is still in its early stages but has the potential to revolutionize how advertising is targeted. As AI and ML continue to develop, hyper-contextual targeting is likely to become even more accurate and effective, leading to better results for advertisers and publishers alike.<\/p>\n\n\n\n

Tools available to implement Contextual Advertising:<\/strong><\/p>\n\n\n\n

AdTech organizations are capitalizing on these changes. Silverpush, a leading advertising technology organization, has introduced Mirrors, an artificial intelligence solution for programmatic contextual advertising.<\/p>\n\n\n\n

This tool thoroughly scans web pages, including text, images, and videos. Using Natural Language Processing (NLP), it identifies keywords and categorizes content. Additionally, the AI-powered technology employs frame-by-frame analysis for image recognition, effectively identifying faces, logos, and various activities within images.<\/p>\n\n\n\n

Furthermore, Mirrors employs semantic analysis of webpage content. This enables the extraction of significant information, including emotions and instances of sarcastic expression. This extracted information contributes to the deployment of relevant advertisements.<\/p>\n\n\n\n

Conclusion:<\/strong><\/p>\n\n\n\n

Contextual advertising becomes a viable option amid the challenges facing the advertising landscape. As tracking methods like cookies fade away, and brands and advertisers emphasize privacy-focused targeting approaches.<\/p>\n\n\n\n

Combining contextual targeting with artificial intelligence and machine learning can provide advertisers with valuable insights for effective targeting. This approach offers a wide range of insights to help advertisers reach the right audience and fit seamlessly into an evolving landscape.<\/p>\n\n\n\n

At E-Planning, we’re moving at the pace the industry demands. What are you waiting for to chat about this and other topics? Contact us.<\/p>\n","date":"2024-01-26T13:24:50","link":"https:\/\/blog.e-planning.net\/transforming-the-known-a-journey-back-to-the-essence-of-contextual-advertising\/","shortContent":"Amidst the current buzz about the departure of cookies from the programmatic advertising landscape and the strategies being devised to adapt to this change, the spotlight is turning back to the concept of Contextual Advertising. As the foundation of traditional advertising, Contextual Advertising had faded into the background with the rise of behavior-based advertising. However, [...]","rawDate":1706275490,"img":"https:\/\/blog.e-planning.net\/wp-content\/uploads\/2024\/01\/Opciones-de-Banners-Blog-Post_-E-Planning-6-768x432.png","lang":"en"},{"title":"Steering Through the Post-Cookie Era: Google’s Introduction of Tracking Protection","content":"\n

On January 4th, Google launched its new Tracking Protection feature, aimed at limiting website access to third-party cookies. Initially impacting a modest 1% of Chrome users globally, this change offers a preview of the future of online navigation without relying on third-party cookies.<\/p>\n\n\n\n