🔎 Use Claude to Understand What Your Customers Really Want

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One of the biggest mistakes entrepreneurs make when creating marketing, product pages, emails, or advertisements is surprisingly simple:

They describe their product from their perspective instead of looking at it from the customer's perspective.

You know why you created the product.

You know which features you're most proud of.

You know how much time, money, and effort went into building it.

Your customer doesn't.

They're looking at your offer with a completely different set of questions running through their head:

"Will this actually solve my problem?"

"Is it worth the money?"

"Will it work for someone like me?"

This is why one of the most useful ways to use Claude is to ask it to think through the buying decision from your customer's perspective first.

Here's a simple 4-step exercise you can run in about 15 minutes.

Give it the information a real customer would encounter when researching the product.

For example:

“Product: Premium non-slip yoga mat

Price: $49.99

Target customer: Women aged 25–45 who practice yoga at home or in studios and want a durable, comfortable mat that doesn't move during practice.

Key features: Extra-grip surface, 6mm thickness, lightweight construction, easy-clean material, alignment markings.

Main competitors: Budget yoga mats around $15–25 and premium mats around $70–100.

Our positioning: We want to be seen as a premium but accessible option for people who practice regularly.

Customer feedback: Customers frequently mention grip, comfort, thickness, and ease of cleaning. Some potential buyers question whether the higher price is justified.”

Here's the prompt:

“I want you to analyze this product entirely from the perspective of the ideal customer, not from the perspective of the business owner.

Imagine you are a potential buyer who has never purchased from this brand before. You are considering this product alongside several alternatives and have limited time to make a decision.

Analyze the product and identify:

1. DESIRES: What does this customer ultimately want to achieve by buying this product?

2. FRUSTRATIONS: What problems or frustrations are they currently experiencing?

3. QUESTIONS: What questions are they likely to have before purchasing?

4. OBJECTIONS: What could make them hesitate or decide not to buy?

5. BUYING TRIGGERS: What circumstances or benefits could push them toward purchasing now rather than later?

6. FEARS: What are they worried might go wrong after purchasing?

7. ALTERNATIVES: What other solutions might they consider instead?

8. DECISION CRITERIA: What factors are most likely to determine which product they choose?

9. EMOTIONAL MOTIVATIONS: What feelings are influencing the purchase beyond the functional benefits?

10. MISSING INFORMATION: What information would you want to see before feeling confident enough to purchase?

Do not give me generic marketing advice. Base your analysis on the specific product, customer, market, and information I have provided.”

Here's another prompt worth saving:

“Now separate the product's features from the outcomes the customer actually cares about.

Create a table with four columns:

Feature → Functional benefit → Emotional benefit → Customer language

For example, don't simply tell me that a product has a particular material or technical specification. Explain why the customer would care about that feature and how they might naturally describe the benefit in their own words.

Prioritize the benefits according to what is most likely to influence the purchase decision.”

Only after you've completed the customer analysis should you ask Claude to create the marketing material.

For example:

“Based on everything we've learned about this customer, identify the 5 most important messages that should appear in our product listing. Rank them by their potential impact on the purchase decision and explain why each one matters.

Then recommend where each message should appear:

There's one important caveat: Claude is not your customer. It's an analytical tool, so don't treat its output as unquestionable truth.

Use it to generate hypotheses, then validate those hypotheses against:

And this is where all these insights become especially powerful for Amazon sellers.

Instead of building your PPC strategy entirely around what you think your product should rank for, you can combine customer language + keyword data + conversion data to understand which searches deserve your advertising budget.

That's where intelliRANK comes in.

Our Amazon PPC strategy is built around understanding not just what you're selling, but how shoppers actually search, compare, and make purchasing decisions.

Customer insights can help you identify the language and problems that matter.

Keyword and campaign data can then help you determine where to put that insight to work.

The result is a much more intentional and powerful approach to PPC instead of simply throwing more keywords and budget into your campaigns.

So if you want to turn customer insights into a smarter Amazon PPC strategy… 

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

1. ChatGPT can now send texts for you with new Apple Messages plug-in (source)

OpenAI launched an Apple Messages plug-in letting ChatGPT read, sort, draft, and send texts on a user's behalf, requiring Full Disk Access and running locally rather than indexing messages to its servers. OpenAI says message content isn't sent to the cloud by default and advises against persistent approval so users retain a final review before messages are sent.

2. How to use ChatGPT Work – and 10 tips for getting started with agentic AI (source)

ChatGPT Work is OpenAI's agentic mode that can browse the web, manage files, and complete multi-step tasks (like researching and comparing products across open tabs), available to all users with usage limits based on subscription tier. Here you’ll find practical tips, such as giving small assignments, limiting permissions, and double-checking outputs.

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