The future of advertising: A/B test your campaigns at scale with deepfake AI image generator

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The advertising industry might be one of the ones that will experience the biggest breakthrough with the development of deepfake AI image generators.

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If you don’t know it, visuals play a major role in the A/B testing components media buyers use to find the perfect ADS, which will ultimately convert.

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However, not every media buyer uses A/B testing as it should for 2 primary reasons:

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1. Lack of time and resources
2. Lack of specific knowledge (what to A/B test and how)

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This highly limits the ability of content creators or any other persona looking to scale their acquisition with powerful ads.

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Using an AI deepfake Image generator is the perfect solution. You can generate realistic and personalized visuals on demand at scale.

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When you know visuals get 94% more views than text-based content, there’s even more incentive to use an AI deepfake image generator to generate them.

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But let’s start with the basics:

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What are Deepfake AI Image Generators?

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A deep fake is a synthetic representation of someone doing or saying something they didn’t.

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For instance, Dall-E, Midjourney, and stable diffusion are foundational models of AI images but are not deep fake AI image generators.

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On the other hand, tools like HeyGen, Synthesia, or Argil focus exclusively on being online deepfake generators.

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A deepfake AI image generator is a tool based on a foundational model that replicates your authentic representation (face, attributes, voice) to generate images or videos of yourself.

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Benefits of Using Deepfake AI for Advertising Campaigns

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Advertising is an industry that needs a lot of A/B testing:

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• Length of the ads
• Copywriting of the ads
• Visuals used for the ads
• Format of the ads (Video, Images)

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The biggest challenge is when you want to be creative while keeping this A/B testing possible.

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This is the main benefit a Deepfake AI image generator brings. It’ll allow media buyers (independents and agencies) to:

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→ Get unlimited creative output for visual art at a fraction of the costs

→ Personalize visuals for niche audiences/segments (higher personalization)

→ A/B test in niche segments to optimize for smaller pools the ad used

→ Follow trends by quickly generating visuals around viral events/memes

→ Generate visuals in multiple styles to complement brand aesthetics

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Using deepfake AI image generators can help advertisers save up to 90% on visual production using AI.

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Ethical concerns about deepfake AI image generators

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The risks and potential misuse of deepfake technology are multiple, so here are some general guidelines about best practices for using deepfake ethically:

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1. Only train a model of yourself or someone who gave you written authorization (contractual about the usage of the deepfake)
2. If you’re creating ads with a deepfake AI image generator, make sure you respect the rules of your industry, or you’re not selling a false promise to your audience
3. Verify the local regulations of the countries where you decide to run your AI deepfakes ads.

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There are tremendous opportunities to scale acquisition using a deepfake AI image generator for your ads, but this doesn’t mean it should be done without respecting ethics.

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