Market Research and Personas

Understand Your Market with AI

Market research is the foundation of any effective marketing strategy—yet it’s the step many teams rush through due to time and budget constraints. Traditionally, a serious study meant weeks of document collection, interviews, and often hiring an expensive external agency. ChatGPT changes the equation: by combining Deep Research for document collection with conversational analysis, you can accomplish in hours what used to take weeks. Deep Research is included depending on your plan—Plus where available, Pro, or Business seats—and generates a research plan you can modify before launching. The benefit isn’t just speed: when research becomes fast and affordable, you can finally repeat it regularly instead of treating it as a one-time exercise you never revisit.

Conduct Market Research with ChatGPT

Start by asking for a comprehensive map of your industry, delegating recent data collection to Deep Research. Select it from the tools menu (+) or type /Deepresearch, then give it this prompt:

Analyze the [your industry] market in France in 2026.
Include:
- Market size and growth
- Key players and market shares
- Emerging trends
- Applicable regulations
- Barriers to entry
Summarize the results in a structured report with sources.

The phrase “with sources” at the end of the prompt isn’t decorative: it’s what lets you verify every figure before including it in a presentation to leadership. Deep Research cites its sources; make it a habit to check the most important ones, because a market figure included in a marketing plan affects your credibility, not the tool’s.

Once you’ve gathered this material, move from description to opportunity. Ask ChatGPT to identify underexploited segments, unmet needs, and profitable niches. The analysis becomes truly powerful when you cross external data with your internal data: provide your revenue by segment, retention rates, and average order value. A marketer who discovers that the segment where their company achieves its best retention is also the one Deep Research flags as high-growth holds a far stronger strategic axis than mere intuition.

Create Precise Marketing Personas

An effective marketing persona goes well beyond demographic data. Knowing your target is “35–45 years old and lives in an urban area” doesn’t help you write an email subject line; knowing what frustrates them daily and what triggers their purchase decision does. ChatGPT helps you build complete psychographic profiles, provided you feed it real material:

Create a detailed marketing persona for [your product/service].

Data to integrate:
- Demographics: [age, location, income]
- Observed purchasing behavior: [CRM data]
- Customer verbatims: [excerpts from reviews/surveys]

The persona must include:
1. Identity — fictional name, photo description, situation
2. Professional and personal goals
3. Frustrations and pain points
4. Typical buying journey — from awareness to decision
5. Preferred communication channels
6. Potential objections to our offer
7. Marketing messages that would resonate with this profile

The “Data to integrate” block is the heart of the prompt. Customer verbatims, in particular, change everything: using your customers’ exact words gives the persona real frustrations rather than clichés. Without this data, ChatGPT will produce a plausible but generic persona—the same one your competitors have.

This is also why you should never rely solely on AI to create your personas. Once the profiles are generated, cross-check them with your Analytics data: if the persona is supposed to consume mostly video but your statistics show this segment reads your long-form articles, it’s the persona you need to correct, not the numbers. Identify gaps between your assumptions and actual behavior, refine the profiles by incorporating feedback from your sales team—who talk to these people every day—and finally segment your existing base according to the validated personas, so the exercise leads to targeted campaigns rather than just a nice PDF.

Customer Journey Mapping

For each validated persona, ask ChatGPT to model the customer journey step by step: discovery (how does the prospect find you?), consideration (what content do they consume before deciding?), decision (what are the purchase triggers?), retention (what brings them back?), and advocacy (what makes them talk about you?). The value of this modeling is operational: for each step, identify the necessary content, relevant channels, and KPIs to track. You’ll almost always discover a weak link—typically a consideration stage full of customer questions but empty of content to answer them.

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Your Turn

Your first market research. Follow these steps in order:

1. Launch a Deep Research session on your industry
2. Export your CRM data to a CSV file
3. Import everything into a dedicated ChatGPT Project, after removing personal data
4. Generate 3 distinct personas using the prompt above
5. Have these personas validated by your field team

The fifth step is the one most often skipped, and that’s a mistake: ten minutes with a sales rep is enough to spot the false detail that would have undermined the entire persona.

Official sources: Deep research in ChatGPT · Data analysis with ChatGPT · Projects in ChatGPT (OpenAI Help Center)

Key Takeaways

• Deep Research automates market data collection with verifiable sources—verify them before citing a figure
• AI personas are a starting point: validate them with your Analytics data and your field team
• Customer verbatims are the raw material that distinguishes a real persona from a generic one
• Model the customer journey for each persona, with content, channels, and KPIs for each step
• Centralize your market data in a Project and update your personas every quarter