The future of advertising: A/B test your campaigns at scale with deepfake AI image generator
Transform your advertising strategy using deepfake AI image generators for scalable, personalized visual content that drives better A/B test results and higher conversions.
The advertising industry might be one of the ones that will experience the biggest breakthrough with the development of deepfake AI image generators.
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.
However, not every media buyer uses A/B testing as it should for 2 primary reasons:
- Lack of time and resources
- Lack of specific knowledge (what to A/B test and how)
This highly limits the ability of content creators or any other persona looking to scale their acquisition with powerful ads.
Using an AI deepfake Image generator is the perfect solution. You can generate realistic and personalized visuals on demand at scale.
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.
But let’s start with the basics:
What are Deepfake AI Image Generators?
A deep fake is a synthetic representation of someone doing or saying something they didn’t.
For instance, Dall-E, Midjourney, and stable diffusion are foundational models of AI images but are not deep fake AI image generators.
On the other hand, tools like HeyGen, Synthesia, or Argil focus exclusively on being online deepfake generators.
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.
Benefits of Using Deepfake AI for Advertising Campaigns
Advertising is an industry that needs a lot of A/B testing:
- Length of the ads
- Copywriting of the ads
- Visuals used for the ads
- Format of the ads (Video, Images)
The biggest challenge is when you want to be creative while keeping this A/B testing possible.
This is the main benefit a Deepfake AI image generator brings. It’ll allow media buyers (independents and agencies) to:
→ 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
Using deepfake AI image generators can help advertisers save up to 90% on visual production using AI.
Ethical concerns about deepfake AI image generators
The risks and potential misuse of deepfake technology are multiple, so here are some general guidelines about best practices for using deepfake ethically:
- Only train a model of yourself or someone who gave you written authorization (contractual about the usage of the deepfake)
- 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
- Verify the local regulations of the countries where you decide to run your AI deepfakes ads.
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.
