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Amplifyer | June 29, 2020
Amplifyer, the company that connects Fortune 1000 marketers with the world's most innovative start-ups, and Chalice, a new venture that develops and deploys bespoke algorithms for leading brands, today announced a partnership that provides advertisers with a differentiated programmatic strategy rooted in growing market share, gaining competitive advantage and creating enterprise value."Moving algorithmic optimization in-house provides brands with a chance to pull away from competi...
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AniView | January 31, 2022
AniView a leading provider of holistic end-to-end video ad-serving Saas platform for publishers, launches its Server-Side Ad Insertion (SSAI) feature, which allows advertisers to seamlessly insert video ads into high-quality, long-form content. Providing a similar user experience to broadcast TV, SSAI enables a buffer-less transition from content to ad, and then back to content. Audiences today are consuming much more episodic, long-form video on demand (VOD) and live-streaming co...
IBM | January 11, 2022
IBM Watson Advertising today announced the availability of data from The Weather Company, an IBM Business, on AWS Data Exchange, an Amazon Web Services (AWS) platform. The AWS Data Exchange allows businesses to easily find and subscribe to third-party data in the cloud. Providing data from the world's most accurate weather forecaster1, IBM Watson Advertising's Weather Analytics harness the relationship between weather and consumer behavior using artificial intelligence to ...
Colling Media | February 16, 2021
Phoenix-based advertising and marketing firm Colling Media uses Google's recently released Attribution Beta program to help clients assign credit for digital advertising conversions when consumers interact with multiple marketing tactics and channels. Attribution is an attempt to assign credit for various advertising and marketing tactics. Solving this problem can be challenging. For example, a consumer sees an ad on a website, fills out a form on Facebook, hears a radio comme...
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