Low Fidelity
Low Fidelity
Low Fidelity
Search Demand
Overview
A Search Demand analysis is one of the fastest ways to gauge interest in a new venture, product, or service before any investment is made. At Future Foundry, we use this experiment to tap into real-world behaviour by tracking what customers are actively searching for rather than relying on survey responses or hypothetical feedback. If people are already looking for a solution, it’s a strong indicator that the market exists. This method helps uncover whether a problem is widely recognised, whether a proposition is positioned in a way that aligns with customer interest, and how competitive the landscape is. It’s particularly valuable for testing whether a concept resonates before launching a paid campaign or building an MVP.
A Search Demand analysis is one of the fastest ways to gauge interest in a new venture, product, or service before any investment is made. At Future Foundry, we use this experiment to tap into real-world behaviour by tracking what customers are actively searching for rather than relying on survey responses or hypothetical feedback. If people are already looking for a solution, it’s a strong indicator that the market exists. This method helps uncover whether a problem is widely recognised, whether a proposition is positioned in a way that aligns with customer interest, and how competitive the landscape is. It’s particularly valuable for testing whether a concept resonates before launching a paid campaign or building an MVP.
A Search Demand analysis is one of the fastest ways to gauge interest in a new venture, product, or service before any investment is made. At Future Foundry, we use this experiment to tap into real-world behaviour by tracking what customers are actively searching for rather than relying on survey responses or hypothetical feedback. If people are already looking for a solution, it’s a strong indicator that the market exists. This method helps uncover whether a problem is widely recognised, whether a proposition is positioned in a way that aligns with customer interest, and how competitive the landscape is. It’s particularly valuable for testing whether a concept resonates before launching a paid campaign or building an MVP.
Process
To run this experiment, we define a set of keywords, problem statements, and related queries that potential customers might use. Using tools like Google Trends, Keyword Planner, and Ahrefs, we analyse search volume, related searches, and shifts in demand over time. Once we gather data, we compare it against existing competitor positioning and industry benchmarks. If searches for the problem are high but existing solutions aren’t well-matched, it signals an opportunity. If searches are low or declining, it may indicate a lack of widespread demand or a need to reposition the problem statement. This test is often used alongside landing page experiments or social media campaigns to validate whether the demand we see in search data translates into action.
To run this experiment, we define a set of keywords, problem statements, and related queries that potential customers might use. Using tools like Google Trends, Keyword Planner, and Ahrefs, we analyse search volume, related searches, and shifts in demand over time. Once we gather data, we compare it against existing competitor positioning and industry benchmarks. If searches for the problem are high but existing solutions aren’t well-matched, it signals an opportunity. If searches are low or declining, it may indicate a lack of widespread demand or a need to reposition the problem statement. This test is often used alongside landing page experiments or social media campaigns to validate whether the demand we see in search data translates into action.
To run this experiment, we define a set of keywords, problem statements, and related queries that potential customers might use. Using tools like Google Trends, Keyword Planner, and Ahrefs, we analyse search volume, related searches, and shifts in demand over time. Once we gather data, we compare it against existing competitor positioning and industry benchmarks. If searches for the problem are high but existing solutions aren’t well-matched, it signals an opportunity. If searches are low or declining, it may indicate a lack of widespread demand or a need to reposition the problem statement. This test is often used alongside landing page experiments or social media campaigns to validate whether the demand we see in search data translates into action.
Requirements
This experiment requires access to search trend tools and a well-defined set of keywords related to the proposition. The goal isn’t just to see whether a topic is trending but to identify how the offering should be framed based on real-world interest. The key outcome is understanding where attention is already focused and using that to inform messaging, positioning, and audience targeting.
This experiment requires access to search trend tools and a well-defined set of keywords related to the proposition. The goal isn’t just to see whether a topic is trending but to identify how the offering should be framed based on real-world interest. The key outcome is understanding where attention is already focused and using that to inform messaging, positioning, and audience targeting.
This experiment requires access to search trend tools and a well-defined set of keywords related to the proposition. The goal isn’t just to see whether a topic is trending but to identify how the offering should be framed based on real-world interest. The key outcome is understanding where attention is already focused and using that to inform messaging, positioning, and audience targeting.
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