🔍 Speed up your A/B tests without sacrificing quality

🧠 The fastest way to find your best-performing ad

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Hey there!

You know you should be A/B testing the ads.

But the reality is that most sellers never test enough variations to find the real winner.

Why? Because writing multiple ad versions is time-consuming. Especially when you don’t know what to test — or how to say it differently.

That’s where AI comes in.

With the right prompts, ChatGPT can instantly give dozens of high-quality ad variations, tailored to your product, brand voice, and audience — so you can test faster, scale faster, and waste less money guessing.

Here’s how to do it 👇

First, Understand Why A/B Testing Works

A/B testing helps you create controlled experiments that isolate variables and measure results.

When you test:

✅ Different hooks → You find what stops the scroll.

✅ Different benefits → You learn what the audience cares about.

✅ Different CTAs → You discover what makes them click.

But the magic is in volume: the more variations you can quickly test, the more likely you’ll find the outlier that performs 2x or 5x better than your control.

That’s exactly what ChatGPT helps you unlock.

Step-by-Step: How to Use ChatGPT for Ad Variation Testing

Let’s walk through it.

Step 1: Choose What to Test

Don’t try to test everything at once. Start with:

• Headline

• First line (hook)

• Main benefit

• CTA

Decide what variable you want to isolate — and tell ChatGPT that.

Why this matters: Isolating one variable helps you clearly attribute performance to a specific change.

Step 2: Provide the Base Ad and Product Info

ChatGPT performs best when it has a solid “base” to build from.

Prompt Example:

Act as a direct response copywriter. Here's a product: a collapsible, BPA-free hiking water bottle that saves space and is great for eco-conscious travelers. Our tone is smart, minimalist, and nature-loving. Write 5 different headline options for a Facebook ad. Keep them under 10 words and focused on benefits.

Want to test CTAs instead?

Give me 5 different call-to-action options for the same product, each with a slightly different angle (urgency, curiosity, value-driven, emotional, scarcity).

Step 3: Generate Entire Ad Variations

You can even ask ChatGPT to write entire A/B ad versions — not just pieces.

Prompt Example:

Now write 3 full Facebook ad variations for the product, each one testing a different first-line hook. Keep the rest of the copy consistent so I can isolate the impact of the hook on performance.

Tip: Mention your audience segment — e.g. “write one version for busy moms, one for hikers, one for digital nomads.”

This helps create audience-specific A/B tests — one of the most powerful testing levers available.

Step 4: Generate Visual or Thumbnail Concepts

If your ad includes an image or video, prompt ChatGPT for ideas that match the copy.

Prompt Example:

Based on the above ad copy, suggest 3 thumbnail image ideas that match each variation — with emphasis on nature, portability, or environmental impact.

This is especially helpful when you work with designers or need to give direction to video editors or creative team.

Step 5: Tag and Track Your Variants

Once you’ve generated your ad variations:

• Label them (A, B, C…)

• Track performance metrics (CTR, CVR, ACoS, ROAS)

• Kill losers early. Scale winners.

💡 Bonus: Use ChatGPT to generate hypotheses for each test. This forces strategic thinking.

Prompt Example:

For each of these 3 ad variations, give me a short hypothesis: what type of user it might appeal to and why it may perform better than the control.

🚀 Final Thoughts

A/B testing used to be limited by how fast your copywriter could write. Not anymore.

With ChatGPT, you can:

👉 Generate testable variations instantly

👉 Explore multiple angles and audiences

👉 Scale what works — and ditch what doesn’t

And best of all is that you’re not guessing. You’re learning.

So the next time you launch a new product or run a new campaign, remember:

Don’t just launch. Test.

Let ChatGPT help you find the best-performing ad — faster than ever.

💡 Never miss out on important updates from the AI world:

1. Google Chrome adds AI-powered store summaries to help US shoppers (source)

Google Chrome has introduced an AI-powered feature called "Store Reviews" for U.S. shoppers, providing automatically generated summaries of online store reviews. 

These summaries, available by clicking an icon in the address bar, include insights on product quality, prices, customer service, and return policies. The information is sourced from partners like Trustpilot, ScamAdviser, and Google Shopping. 

2. OpenAI models are available on AWS (source)

OpenAI has introduced two new open-weight reasoning models, gpt-oss-120b and gpt-oss-20b, marking its first open model release since GPT-2. 

These models, available under the Apache 2.0 license, are optimized for performance and cost-efficiency, with the larger model requiring a single Nvidia GPU and the smaller one running on 16GB of VRAM. 

They can be downloaded from platforms like Hugging Face, Databricks, Azure, and AWS, and are designed to perform tasks such as reasoning, coding, web browsing, and agent operation through OpenAI's APIs.

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