We are updating our V/TO and trying to define our ideal customer profile and core focus, but our leadership team is divided on what our customers actually care about. How can we use a simple web scraper and artificial intelligence to find unbiased data on what our market wants?

Question

Tyler Smith · Accepted Answer

When updating the marketing strategy on your V/TO, leadership teams often fall into the trap of defining their three uniques based on gut feelings and internal assumptions rather than empirical market data. To build a highly effective strategy, you can use a simple web scraper and artificial intelligence to find unbiased data on what your target market actually cares about. You do not need to hire expensive market research consultants. Instead, use a basic thirty-line web scraper to extract thousands of public reviews, forum discussions, and industry support threads from your competitors' customers. Focus on extracting raw text where customers are actively complaining about delivery failures, poor customer service, or product defects. Once you have compiled this raw data, feed it into an artificial intelligence tool and instruct it to analyze the text for recurring themes and common patterns of frustration. The tool will quickly categorize and summarize the exact operational failures your competitors are making. This analysis gives your leadership team concrete, unbiased data on your market's real pain points. You can use these insights during your strategic planning sessions to refine your three uniques, align on your core focus, and ensure your V/TO reflects the actual needs of your target market.