
Running Facebook and Google Ads for your eCommerce business can feel like juggling fire, there’s so much at stake and so many levers to pull.
AI tools like ChatGPT, Gemini, and Perplexity promise to make the process a tad bit easier by generating copy and insights quickly. But here’s the catch most brands overlook, GenAI tools produce outputs that are only as good as the prompts you give them.
The real secret to consistently high-quality output is good prompts. If your prompts are vague, the results will miss the mark, and your campaigns will pay the price.
But when crafted with precision and clarity, prompts guide AI to deliver actionable, conversion-ready ad copy instead of generic fluff.
In this blog, we’ll show you exactly how to structure prompts for maximum impact.
Most eCommerce founders love the idea of “AI-generated ads”, they’re fast and low-cost. But in reality, most outputs fail to perform. Not because the AI is bad, but because the prompts don’t give it anything meaningful to work with.
Here are all the very reasons why most AI-generated ad copy ends up generic at best:
When you ask AI to “write an ad,” it generates the most generic, repetitive copy pulled from the most common patterns in its training data, sounding like every other ad on the internet. Without context about your product, audience, or offer, the output becomes flat and unusable for performance campaigns.
AI can’t optimize for what you don’t define. If you don’t specify whether you want a lower CPA, higher CTR, stronger ROAS, or a specific funnel stage (prospecting vs. retargeting), the output has no direction. It won’t know how to adjust the tone, angle, or messaging to match your performance intent.
Every audience behaves differently. A busy mother, a tech-savvy shopper, and a first-time buyer respond to completely different triggers. Without clear persona details, motivations, objections, and demographics, AI can’t craft messaging that resonates or converts.
Facebook, Google, and other ad platforms are not interchangeable. Each has its own character limits, content policies, creative formats, and optimization behaviors. Generic prompts ignore these nuances, leading to ads that get disapproved, don’t fit the format, or fail to capture attention in the feed.
High-performing ads don’t come from a single idea, they come from structured experimentation. When prompts don’t request multiple variants, testing angles, or clear hypotheses, you lose the ability to A/B test and iterate. You’re left with a “one-and-done” copy that rarely scales.
A great prompt doesn’t happen by accident, it’s engineered. Here’s how you can create high-performing prompts that consistently generate actionable, platform-ready ad copy:
Start by telling the AI exactly what success looks like. For example, are you optimizing for higher CTR? Lower CPC? More conversions? Or a stronger ROAS for a specific audience segment? Without a clear goal, AI will give you a copy that “sounds good” but doesn’t tie back to your campaign objectives.
AI writes better when it knows who it's speaking to. Include specifics like demographics, interests, buying intent, objections, and even recency (e.g., “people who viewed the product in the last 30 days”). The more you narrow the persona, the more precise and persuasive the messaging becomes.
Facebook and Google each have unique creative requirements, so your prompt should call out specifics such as character limits, ad format (static, carousel, video), placement, platform policies, and the funnel stage you’re targeting.
Including these details ensures the AI generates output tailored to the exact environment your ad will run in, without requiring heavy rewrites later.
Want your ad to sound playful, premium, urgent, or trust-building? Tell the AI exactly that. Also specify the exact CTA you want, like “Shop Now,” “Apply Today,” “Buy with 10% Off”, so the copy aligns with your conversion intent.
High-performing prompts work best when they follow a clear structure. Ask the AI to limit character count, generate multiple variants, and format the output into a headline, primary text, and CTA.
You can also instruct it to include image or creative concepts and label each version for easy A/B testing. These constraints ensure the final output is tight, usable, and ready to plug directly into Ads Manager without extra edits.
Here are 10 ready-to-use prompts designed to help you generate conversion-focused ad copy:
A plug-and-play prompt for fast, compliant, conversion-ready creatives.
Prompt:
“You are a performance copywriter. Product: {product_name}. Audience: {target_audience}. Goal: {objective, e.g., ‘purchase’}. Constraints: Headline ≤ 40 characters, Primary text ≤ 125 characters. Output: 3 ad variants, each with a headline, primary text, CTA, image idea, and 1 A/B test hypothesis per variant.”
Example Inputs:
Generate high-quality responsive search ads, keyword clusters, and negative keyword lists instantly.
Prompt:
“You are a search strategist. Product: {product_name}. Keywords: {seed_keywords}. Landing Page: {landing_url}. Output: 6 responsive ad headlines (≤30 characters), 2 descriptions (≤90 characters), 20 keyword variations, 5 negative keywords, and 2 ad group ideas organized by intent.”
Perfect for shaping better custom audiences and scaling profitable lookalikes.
Prompt:
“You are a market research analyst. Given {audience_profile} and signals such as {past_purchasers_data} and {recent_visitors_data}, propose 3 lookalike audiences, 3 custom audience rules, and 1 exclusion list. Include estimated audience sizes and recommended budget splits.”
Turn raw metrics into a structured, realistic scaling plan.
Prompt:
“You are a campaign optimizer. Given metrics (CPA: {CPA}, AOV: {AOV}, Margin: {margin}), build a 30-day scaling plan showing week-wise budget, bid strategy, channel splits, and expected conversions.”
Avoid disapprovals and protect your ad accounts from penalties.
Prompt:
“You are a compliance reviewer. Review this ad copy: {ad_copy}. Highlight risky lines according to Meta and Google policies, rewrite them in a compliant way, and provide an explanation for each correction.”
Turn warm audiences into sales using dynamic offers and urgency-led messaging.
Prompt:
“You are a retargeting strategist. Product: {product_name}. Audience: users who visited {landing_url} in the last 14 days or added items to cart. Generate 3 ad variants with urgency-based messaging, dynamic offers if available, CTA, and suggested visual ideas for higher conversions.”
Create holiday-ready creatives that fit both Meta and Google formats.
Prompt:
“You are a seasonal campaign specialist. Product: {product_name}. Campaign: {holiday/season}. Generate 3 ad variations for Facebook and Google including festive copy, headlines, CTAs, suggested creatives, and recommended short-term budget allocation.”
Turn one winning creative into a multi-channel performance engine.
Prompt:
“You are a cross-channel marketer. Adapt this high-performing Facebook ad: {fb_ad_variant} into multiple formats: (1) Google responsive search ad with headlines ≤30 characters and descriptions ≤90 characters, (2) Instagram Story ad ≤125 characters with visual suggestion, (3) YouTube Short concept of 6-12 seconds. Keep messaging consistent and platform-optimized.”
Inject data discipline into every creative experiment.
Prompt:
“You are a growth marketer. For these ad variants: {ad_variants}, generate 3 testable hypotheses. Each hypothesis must include the exact variation being tested, the expected metric improvement (e.g., +10% CTR, -8% CPA), the audience segment for testing, and recommended sample size and duration.”
Make intelligent changes based on actual performance, not guesswork.
Prompt:
“You are a campaign analyst. Analyze this campaign data: {ad_campaign_data} including spend, clicks, impressions, CTR, conversions, and CPA. Recommend 3 prioritized changes across copy, audience, and budget, and provide a short rationale with projected impact on CPA or ROAS.”
Great AI prompts are the first step toward building high-performing ads, but true scale comes from pairing strong inputs with smart automation.
These 10 tactical prompts will help you generate sharper creatives, tighter targeting, and more efficient budget decisions across your Facebook and Google campaigns.
As you test them, track every version, every hypothesis, and every performance shift. Over time, your prompts turn into reusable playbooks you can apply across products, audiences, and seasons, making your ad engine faster and more predictable.
And when you’re ready to go beyond manual prompting, tools like AI Agents (such as hoppr) can take over the heavy lifting. They automate prompt generation, testing, and optimization, helping your campaigns learn continuously and perform better with every cycle.
Running Facebook and Google Ads for your eCommerce business can feel like juggling fire, there’s so much at stake and so many levers to pull.
AI tools like ChatGPT, Gemini, and Perplexity promise to make the process a tad bit easier by generating copy and insights quickly. But here’s the catch most brands overlook, GenAI tools produce outputs that are only as good as the prompts you give them.
The real secret to consistently high-quality output is good prompts. If your prompts are vague, the results will miss the mark, and your campaigns will pay the price.
But when crafted with precision and clarity, prompts guide AI to deliver actionable, conversion-ready ad copy instead of generic fluff.
In this blog, we’ll show you exactly how to structure prompts for maximum impact.
Most eCommerce founders love the idea of “AI-generated ads”, they’re fast and low-cost. But in reality, most outputs fail to perform. Not because the AI is bad, but because the prompts don’t give it anything meaningful to work with.
Here are all the very reasons why most AI-generated ad copy ends up generic at best:
When you ask AI to “write an ad,” it generates the most generic, repetitive copy pulled from the most common patterns in its training data, sounding like every other ad on the internet. Without context about your product, audience, or offer, the output becomes flat and unusable for performance campaigns.
AI can’t optimize for what you don’t define. If you don’t specify whether you want a lower CPA, higher CTR, stronger ROAS, or a specific funnel stage (prospecting vs. retargeting), the output has no direction. It won’t know how to adjust the tone, angle, or messaging to match your performance intent.
Every audience behaves differently. A busy mother, a tech-savvy shopper, and a first-time buyer respond to completely different triggers. Without clear persona details, motivations, objections, and demographics, AI can’t craft messaging that resonates or converts.
Facebook, Google, and other ad platforms are not interchangeable. Each has its own character limits, content policies, creative formats, and optimization behaviors. Generic prompts ignore these nuances, leading to ads that get disapproved, don’t fit the format, or fail to capture attention in the feed.
High-performing ads don’t come from a single idea, they come from structured experimentation. When prompts don’t request multiple variants, testing angles, or clear hypotheses, you lose the ability to A/B test and iterate. You’re left with a “one-and-done” copy that rarely scales.
A great prompt doesn’t happen by accident, it’s engineered. Here’s how you can create high-performing prompts that consistently generate actionable, platform-ready ad copy:
Start by telling the AI exactly what success looks like. For example, are you optimizing for higher CTR? Lower CPC? More conversions? Or a stronger ROAS for a specific audience segment? Without a clear goal, AI will give you a copy that “sounds good” but doesn’t tie back to your campaign objectives.
AI writes better when it knows who it's speaking to. Include specifics like demographics, interests, buying intent, objections, and even recency (e.g., “people who viewed the product in the last 30 days”). The more you narrow the persona, the more precise and persuasive the messaging becomes.
Facebook and Google each have unique creative requirements, so your prompt should call out specifics such as character limits, ad format (static, carousel, video), placement, platform policies, and the funnel stage you’re targeting.
Including these details ensures the AI generates output tailored to the exact environment your ad will run in, without requiring heavy rewrites later.
Want your ad to sound playful, premium, urgent, or trust-building? Tell the AI exactly that. Also specify the exact CTA you want, like “Shop Now,” “Apply Today,” “Buy with 10% Off”, so the copy aligns with your conversion intent.
High-performing prompts work best when they follow a clear structure. Ask the AI to limit character count, generate multiple variants, and format the output into a headline, primary text, and CTA.
You can also instruct it to include image or creative concepts and label each version for easy A/B testing. These constraints ensure the final output is tight, usable, and ready to plug directly into Ads Manager without extra edits.
Here are 10 ready-to-use prompts designed to help you generate conversion-focused ad copy:
A plug-and-play prompt for fast, compliant, conversion-ready creatives.
Prompt:
“You are a performance copywriter. Product: {product_name}. Audience: {target_audience}. Goal: {objective, e.g., ‘purchase’}. Constraints: Headline ≤ 40 characters, Primary text ≤ 125 characters. Output: 3 ad variants, each with a headline, primary text, CTA, image idea, and 1 A/B test hypothesis per variant.”
Example Inputs:
Generate high-quality responsive search ads, keyword clusters, and negative keyword lists instantly.
Prompt:
“You are a search strategist. Product: {product_name}. Keywords: {seed_keywords}. Landing Page: {landing_url}. Output: 6 responsive ad headlines (≤30 characters), 2 descriptions (≤90 characters), 20 keyword variations, 5 negative keywords, and 2 ad group ideas organized by intent.”
Perfect for shaping better custom audiences and scaling profitable lookalikes.
Prompt:
“You are a market research analyst. Given {audience_profile} and signals such as {past_purchasers_data} and {recent_visitors_data}, propose 3 lookalike audiences, 3 custom audience rules, and 1 exclusion list. Include estimated audience sizes and recommended budget splits.”
Turn raw metrics into a structured, realistic scaling plan.
Prompt:
“You are a campaign optimizer. Given metrics (CPA: {CPA}, AOV: {AOV}, Margin: {margin}), build a 30-day scaling plan showing week-wise budget, bid strategy, channel splits, and expected conversions.”
Avoid disapprovals and protect your ad accounts from penalties.
Prompt:
“You are a compliance reviewer. Review this ad copy: {ad_copy}. Highlight risky lines according to Meta and Google policies, rewrite them in a compliant way, and provide an explanation for each correction.”
Turn warm audiences into sales using dynamic offers and urgency-led messaging.
Prompt:
“You are a retargeting strategist. Product: {product_name}. Audience: users who visited {landing_url} in the last 14 days or added items to cart. Generate 3 ad variants with urgency-based messaging, dynamic offers if available, CTA, and suggested visual ideas for higher conversions.”
Create holiday-ready creatives that fit both Meta and Google formats.
Prompt:
“You are a seasonal campaign specialist. Product: {product_name}. Campaign: {holiday/season}. Generate 3 ad variations for Facebook and Google including festive copy, headlines, CTAs, suggested creatives, and recommended short-term budget allocation.”
Turn one winning creative into a multi-channel performance engine.
Prompt:
“You are a cross-channel marketer. Adapt this high-performing Facebook ad: {fb_ad_variant} into multiple formats: (1) Google responsive search ad with headlines ≤30 characters and descriptions ≤90 characters, (2) Instagram Story ad ≤125 characters with visual suggestion, (3) YouTube Short concept of 6-12 seconds. Keep messaging consistent and platform-optimized.”
Inject data discipline into every creative experiment.
Prompt:
“You are a growth marketer. For these ad variants: {ad_variants}, generate 3 testable hypotheses. Each hypothesis must include the exact variation being tested, the expected metric improvement (e.g., +10% CTR, -8% CPA), the audience segment for testing, and recommended sample size and duration.”
Make intelligent changes based on actual performance, not guesswork.
Prompt:
“You are a campaign analyst. Analyze this campaign data: {ad_campaign_data} including spend, clicks, impressions, CTR, conversions, and CPA. Recommend 3 prioritized changes across copy, audience, and budget, and provide a short rationale with projected impact on CPA or ROAS.”
Great AI prompts are the first step toward building high-performing ads, but true scale comes from pairing strong inputs with smart automation.
These 10 tactical prompts will help you generate sharper creatives, tighter targeting, and more efficient budget decisions across your Facebook and Google campaigns.
As you test them, track every version, every hypothesis, and every performance shift. Over time, your prompts turn into reusable playbooks you can apply across products, audiences, and seasons, making your ad engine faster and more predictable.
And when you’re ready to go beyond manual prompting, tools like AI Agents (such as hoppr) can take over the heavy lifting. They automate prompt generation, testing, and optimization, helping your campaigns learn continuously and perform better with every cycle.