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Artificial Intelligence in Ad Tech- How?


Artificial Intelligence in Ad Tech- How?


Google robots dream up crazy psychedelic pictures using 'inceptionism' AI neural networks

Artificial Intelligence and Machine Learning are the two key buzzwords these days in the Startup World. And why not, it's optimizing our efficiency in everything we do. So, how can Ad Tech be left behind?

Ad Tech, to be frank, is sort of a messed up market. It has fallen short on many promises it has made. The good and bad thing about ad tech is that there is an abundance of data. Yes, we have all this information to better understand our customers, but most marketers don’t know how to leverage the data and move forward with it. Very few in the Ad Tech world have the analytical skills to effectively evaluate big data. This lack of training can have damaging effects to brands and companies as they may misinterpret or miss on important data.



To overcome this lacking, introducing AI into Ad Tech companies cannot be a bad idea after all. So let’s get into understanding how Ad Tech partners with AI to get lower CPC prices, higher click-through rates (CTR) and conversions, and an even greater ROI.

Here we see how use of Artificial Intelligence can help Ad Tech Industry find better answer to these tricky answered questions.

AI in Ads Positioning

Instead of developers haggling in front of their PCs to determine which Ad Position will determine best revenue for your website, AI simplifies the same by employing Machine Learning algorithms to study historical data to find the relevant ads for targeted user group. AI algorithms use heatmaps to study where the visitors on the website are actually going and thus, placing relevant ads on those positions to grab user attention.

The heatmaps have never been used much in the Ad tech before. AI is surely going to change that while studying each and every map in detail to find the best Ad Positions for marketers.

The AI also keeps in mind UX of the website helping the publishers to optimize them in the best possible manner.

AI in Ad Network Selection

There are many Ad Networks that provides different kind of Ads to the website owner and he is required to sort the ads according to the website.

This whole process is called Ads Mediation and is very relevant for higher revenues of the website. The AI technology helps here by both minimizing the human effort and doing it more efficiently while making sure that only relevant ads reach to the final user. These relevant ads are defined through the keywords associated with a website in the AI based approach. Ads will be placed through data, facts & Intelligence where data will be user or website's past history. UX, Website Content, Geo & Timing will be counted as facts here.

The best part of employing AI for Ads Optimization is that it reduces human effort by employing a data-oriented approach. It reduces human error and outs the ads only after data says "Yes" based on two parameters which are-- Ad Position and Ad network selection.

And all of this will only get better when Machine Learning algorithms are employed to find the best Ad-User Match.

See Also

Automated Analytics

It is regularly stated that all Ad Tech companies don't take their Data Analytics very seriously!

Analytics has always been an issue for any Ad Tech and in the end publishers aren't very satisfied. However, the AI based approach will propel reporting and analytics feature of Ad tech companies to new levels.

"We have been able to guide some publishers to help them answer questions like which kind of content their audience likes and where shall we put the CTA button to convert their one time users into loyal users helping them increase their daily traffic by a good margin" says Abhinav Agarwal, Founder of AdStair, India's First AI automated Ad Tech Company.

If Ad Tech companies' Analytics start impacting the content and website's UI/UX, the coming days would turn out really exciting for Ad Tech and its parties i.e. Publishers, Ad Tech Platforms and off course the people who run the real show, the Users.



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