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Our Top 7 List of Generative AI Tools
At present, the narrative surrounding AI is a strange cocktail of both dark prophecies and unbridled optimism. However, between these extremes is a growing number of people taking advantage of new Generative AI tools to eliminate dull repetitive tasks, improve their productivity, and ultimately focus more on strategic and creative work.
When used correctly, this growing toolkit of AI-powered products makes it possible for marketers to concentrate on what they do best and outsource repetitive or time-consuming tasks to AI.
Let’s take a look at some of the top Generative AI tools for marketers and how you can implement them in your own workflow.
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Implementing Cookieless Future: Connecting with Customers Effectively
Consumer tech companies, like Samsung, operate in an environment with high average order values (AOVs) but long gaps between conversions. This means it is essential to maximize individual sales and build brand loyalty that lasts long after a purchase is complete. Companies can best do this by building direct connections with their customers across a variety of sales channels. However, this means overcoming the challenges posed by the loss of access to third-party cookies in the oncoming cookieless future.
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How Context AI Makes Contextual Targeting Smarter with Deep Learning
New York, 10/11/2021 – RTB House, a market leader in Deep Learning-powered marketing technologies, is proud to announce the release of its globally available industry-leading Context AI solution. The solution will play a key role in helping advertisers navigate the Cookieless landscape.
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[AUTOMOTIVE REPORT] Understanding Buyers. Understanding Bias.
The ultimate aim of digital ad campaigns for any online brand is to serve each unique user with products that they will want to buy or ads that effectively raise the brand’s awareness. The better targeted the ads, the more likely the user is to interact with them.
When setting up ad campaigns, many companies have relied on targeting tools such as their pre-existing assumptions about their customers in order to create target groups for advertising messages. Of course, businesses know an awful lot about who buys their products, and these targeting tools and data are useful. However, making strong assumptions can also lead to bias, which can eliminate valuable potential customers from the campaign.
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What is Contextual Targeting in Programmatic?
Although contextual targeting is nothing new, its combination with the potential offered by programmatic can open up completely new possibilities for almost every company. Take the execution of marketing campaigns to a whole new level. Support the achievement of assumed objectives and at the same time ensure the effective use of the budget allocated for this purpose. How does contextual targeting in programmatic work? What benefits can be expected from combining the two tactics?
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Seller-Defined Audiences Analysis Series – Part II: Contextual SDA Quality Tests
Key takeaways from this article:- Contextual SDA passed both quality tests we performed and described in this article
- The mechanisms we used to assess the contextual SDA signals’ quality were: SSPs’ audiences sent via Deal IDs and RTB House’s proprietary ContextAI engine