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Google expands AI-powered ad image editing capabilities to new campaigns

The Role of AI in Ad Targeting

4 min read

Highlights

  • Google extends its AI campaign builder to six more languages.
  • The search, display, app, and demand gen campaigns are available for AI-powered image editing.
  • Google is playing with AI automation balanced by more controls from the advertisers end

Source: Freepik_Free Vector _ Concept image upload for landing page

Google has furthered the capabilities of AI-powered ad image editing within search, display, app, and demand gen campaigns. Advertisers can now use AI to automate the production and optimization of visual assets at scale.

The main technology behind this expansion is Google’s “Automated Image Editing” tool, which can automatically enhance, edit, and generate responsive ad images by leveraging an advertiser’s creative assets and branding guidelines. The AI can perform tasks like:

  • Automating image resizing for different ad placements
  • Removal of unwanted backgrounds from product images
  • Application of brand color, fonts, or logos
  • Video thumbnail and social media asset creation
  •  New images created entirely from text descriptions
  •  Fully automatic yet still giving the control to marketers, as they can choose a preferred edit through a “human in the loop” workflow, and preview multiple variations side-by-side before publishing.

 The AI image edit is targeted at saving marketers time and optimizing creatives for greater ad performance and brand consistency across channels.

AI Ad Image Editing Capability

Now, it’s important in its own right that Google is coming out with AI-powered photo editing of ads. Such features should save advertisers a good deal of time and money because the production and optimization of visual assets otherwise are undertaken manually. Equally important, AI capabilities can help an advertiser produce far more effective ads by generating images that are far more likely to resonate with the target audience.

It is in this respect that the AI image editing tool comes in handy. The advertisers running multiple campaigns on the same platforms can use this tool, which automates the ad image creating process. As such, the ads appear uniform across the boards.

Enhancing the Horizons of AI Ad Creative Capabilities

As part of efforts to create more capabilities with its AI image editing, Google also announced that it is launching AI and creative capabilities in six new languages next month. To mention a few include German, French, Spanish, Portuguese, Hindi, and Japanese. This will make it easier for advertisers within those countries to use AI to develop their ads.

Google is also focused on scaling the ambition of its AI ad campaign builder into non-English-speaking markets. This will enable more advertisers in more countries to leverage AI to automate more of the creation and optimization of their campaigns.

Balancing AI automation with granular controls for advertisers

Google insists on a delicate balance between the relentless pace of AI automation and granular controls to advertisers. This is to mean that advertisers will always get options for the manual editing of their ads whenever they want to. Google, however, still believes that AI will make advertisers’ jobs more effective.

The Future of AI in Advertising

The future of AI in advertising is bright. As the technological development of AI goes forward, we can expect even more innovative tools and applications coming to the market. Google is among the avant-garde companies participating in this trend, and the company is on a dedicated path toward helping advertisers use AI to generate more effective ads.

The Impact of AI on the Advertising Industry

One example is AI-driven and expanded capability to edit images. AI changes the advertising world by automating every possible function in the marketing sector, from ad creation to targeting and even measurement and optimization.

The greatest effects of AI on advertising are in the ability to automate the creation of an advertisement. An AI can create ad copy, create images, and even design videos. This would be a time and cost saver for advertisers since it would be helping them create ads that work best for them.

Using AI, specific advertisements can also be presented to targeted audiences in a much more efficient manner. It allows for the analysis of data relating to consumer behavior and identifies the most relevant audience for a given advertisement. This would have advertisers closer to their desired target audience in a much more efficient and effective way.

In addition to creating and targeting ads, AI is also used to measure and optimize ad performance. For example, AI can analyze data on ad impressions, clicks, and conversions and determine which ads are most effective for optimizing future ad campaigns.

The Challenges of AI in Advertising

Although AI has many positive impacts on the advertising world, there are some negatives associated with it. Some of the challenges include the risk of bias. This means that where the dataset on which an algorithm is built has bias, then its subsequent bias might push the AI to advertise discriminatory or offensive content.

There is also a danger of privacy invasion. AI can gather and process huge amounts of data about consumers. These data, used to target the advertisements, can be applied to invade the privacy of consumers.

Despite the obstacles, the future of AI in advertising appears bright. AI is a really strong tool that might help an advertiser create better ads, target the audience more effectively, and measure and optimize ad performance.

As the technology behind AI advances, we will find even more innovative and creative applications. For example, it can help design personalized advertising according to the specific needs of every consumer.

Summarizing all this, AI is a game-changer for the advertising industry. Using automation, targeting, and measurement and optimization of the ads, AI shall aid advertisers to score better.

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