Deep Studying: Smoothing the Transition Between Cookies and the Subsequent Era of Promoting | Relic Tech

Advances in AI technology are transforming the advertising industry as we know it. Deep Learning, the latest generation of AI, can do in a thousandth of a second what the human brain could not do in its entire life. Its ability to not only process data at supersonic speed, but also to learn from each new piece of information, has opened up endless possibilities for advertising.

Currently, the use of Deep Learning increases the effectiveness of ads by up to 50% and this percentage will only increase from 2023 and beyond.

One of the things that makes Deep Learning so powerful and so valuable to advertisers is its ability to continually improve the personalized marketing experience. You can analyze user behavior to such a precise degree that you can accurately predict purchase intentions and determine which specific product and creative will interest an individual the most.

But with the industry constantly changing as we move toward a cookieless future, can Deep Learning offer the solution marketers need to truly future-proof their advertising?

A post-cookie targeting solution

The marketing industry is under pressure to find privacy-safe solutions that allow them to market their products or services on the same scale and with the same degree of accuracy as third-party cookies.

Losing the rich data that cookies provide presents a major challenge for advertisers. Fortunately, one of Deep Learning’s greatest assets is its ability to interpret data at an unprecedented level, and in particular, gain better insights from less data and from anonymous data.

Its algorithms can effectively determine an individual user’s position within the sales funnel and serve that consumer with the most appropriate content. In this way, Deep Learning can increase a brand’s visibility among interested users, as well as drive more sales through privacy-safe, personalized retargeting at scale.

It is important that brands start experimenting with deep learning now if they want to ensure the smoothest transition to third-party cookies afterwards.

Not all AI is created equal, and it’s important for marketers to find the right partners with the right technology to meet their KPIs.

The current climate may not seem like a good time to invest in new solutions, however those who do will see better results than those who put it off and will lead the way when the economy improves.

discovering hidden knowledge

To further emphasize the suitability of Deep Learning as a solution to replace cookies, one of the elements that sets it apart from other technologies is its ability to predict user interest without compromising privacy.

Not only is it capable of analyzing user data points to understand which product, product type, or areas of interest a user is interested in based on visits, but it can go further to determine time spent on certain products and also the sequence of subpages visited. on a retailer’s site.

From this data, deep learning algorithms can accurately interpret user actions and therefore predict their actual purchase intentions. This is very important as it allows marketers to target and retarget consumers with relevant and personalized content and share personalized offers to drive sales without violating privacy laws.

Next Level Optimization

To truly engage consumers, it’s not just about the cost of an item, but receiving an iteration that is relevant and meaningful to an individual. Deep Learning’s ability to analyze and learn from data allows you to understand which offers will be most attractive to a particular consumer.

And this is based on real-time data, as consumer preferences and behaviors are constantly changing, so just because a certain ad might appeal to someone one day, a different creative might be more relevant the next. Deep Learning understands this and its competencies go far beyond classic retargeting to ensure that the products or services featured in an ad are highly personalized for that moment.

By using deep learning solutions, marketers can plan and deliver campaigns more effectively and ensure their ads reach the right consumer with the right creative at the right time, every time.

Deep Learning’s ability to understand various non-standard data sources and generate superior insights from less data will make it critical for the cookieless future.

The nature of its algorithms means it’s getting smarter all the time, so its ability to understand users and effectively target and optimize campaigns for individuals at scale will continue to grow.

To ensure they’re set up for success once advertising stops using cookies, it’s critical that marketers embrace deep learning now and choose a solution designed with user privacy in mind.