This guide is about leveraging AI to analyze customer reviews and transform them into actionable insights. We're here to help you align your product and message with what your customers genuinely want and need.

At the end of this guide, you'll have a robust framework and a clear set of actionable insights derived from customer reviews powered by AI analysis. You will possess a refined understanding of your customers' needs, preferences, and perceptions, translated into customer personas and targeted marketing strategies.

🚀 Why this works?

Real Feedback, Real Insights: 🎯

• Straight from your customers' thoughts to your strategy – no guessing, just real, actionable insights.

AI-Powered Precision: 💡

• Let AI handle the heavy lifting. It's like having a 24/7 Analyst uncovering the patterns and preferences in customer feedback.

Tailored, Not Generic: 👤

• Stand out in the clutter with marketing that resonates personally with your audience, making each message feel like it's made just for them.

🧪 Step-By-Step Guide

1. Data Collection:

   • Extract all your product reviews from the review app on your Shopify store into a Google Sheet.

2. Data Cleanup:

   • Once the reviews have been exported, clean up the sheet to include only the review content column and rating section.

   • Filter out the reviews to include 4-5 star reviews only.

   • Filter out the reviews to show reviews that have a length of at least 150 characters; here’s how to do it on Google Sheets:

     a. Identify Your Data Range

     • Determine where your review data is located. For this example, we'll assume your reviews are in column A, starting from cell A2.

     b. Choose Where to Place the Formula

     • Click on the cell where you want the filtered list to begin. This should be in a new column to avoid overwriting your existing data. For this guide, let's assume you choose cell B2.

     c. Enter the Formula

     • Click on cell B2.

     • Type in the following formula

       **=FILTER(A2:A, LEN(A2:A) >= 150)**
       

     • Press Enter.

     d. Understand the Formula

     • FILTER(A2:A, ...): This part of the formula tells Google Sheets that you want to filter the range from A2 down to the end of column A.
     • LEN(A2:A) <= 150: This is the condition you're applying. It calculates the length of each cell's content in the range and compares it to 150. The condition is true when the length is more than or equal to 150 characters.

     e. Analyze the Results

     • After pressing Enter, the cells in column B will populate with text from column A, but only for those rows where the text has 150 or more characters.
     • Reviews with text less than 150 characters in column A will be excluded from the results in column B.

3. AI Integration:

   • Copy 200-300 reviews from the sheet into chatGPT (preferably GPT-4o; please exclude product links if GPT-4 is not being used) and use the following prompts:

     • Pain points addressed by the product.

       <aside> ⚙️ Based on the following product reviews for our [Brand], which sells the following product [link to the product], list the most common pain points mentioned in these reviews that our product solves? [Add 200-300 reviews here]

       </aside>

     • Top benefits resonating with customers.

       <aside> ⚙️ Based on the following product reviews for our [Brand], which sells the following product [link to the product], what are the 3 most common benefits of using our product? [Add 200-300 reviews here]

       </aside>

     • Core desires linked to product usage.

       <aside> ⚙️ Based on the following product reviews for our [Brand], which sells the following product [link to the product], what are the 3 most common core desires of people who use our product (in relation to the product). [Add 200-300 reviews here]

       </aside>

     • Dominant personality traits of your product's users.

       <aside> ⚙️ Based on the following product reviews for our [Brand], which sells the following product [link to the product], what are the 3 most common personality traits of people who use our product (in relation to the product) [Add 200-300 reviews here]

       </aside>

     • Key interests aligning with your product.

       <aside> ⚙️ Based on the following product reviews for our [Brand], which sells the following product [link to the product], what are the 3 most common interests of people who use our product (in relation to the product). [Add 200-300 reviews here]

       </aside>

       Store the output in this table.

       Pain Points	Benefits	Core Desire	Personality Traits	Interests

4. Synthesis:

   • Once this is complete, copy the data above and use the following prompt.

   Store the output in this table.

   <aside> ⚙️ Now, based on this data about the pain points, benefits, core desires, personality traits, and interests of our target audience, we come up with 3 customer personas that are strictly based on the data above. For each customer persona, develop 3 marketing angles that can be used to create ad copy and creatives for Facebook ads. [Paste the output table here]

   </aside>

   Store the output in this table.

   Customer Persona	Marketing Angle

Once this is complete, you'll have a focused set of customer reviews and precise AI-derived insights delineating pain points, benefits, and customer preferences. This valuable data will be your guide in refining product features, targeting marketing efforts, and crafting tailored Facebook ads for each identified customer persona.

These actionable steps enhance customer satisfaction, sharpen your brand's appeal, and drive engagement by ensuring that your product development and marketing strategies align with your customer's evolving needs and preferences.