03 May 2025
Sports

Golf range training game. Visual game to make sure practicing the ...

...right way

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Swamp

The market has seen several mediocre solutions that nobody loves. Unless you can offer something fundamentally different, you’ll likely struggle to stand out or make money.

Should You Build It?

Don't build it.


Your are here

Your idea for a golf range training game falls into a challenging category. The market for golf training aids has seen many attempts, but few have truly broken through. With 5 similar products identified, competition exists, suggesting some validation but also highlighting the difficulty in creating a standout product. Based on the similar products with low engagement (average 3 comments), it seems difficult to generate a viral effect around these kind of products. This indicates that most golfers might be happy with their training as is, or maybe they are already using the existing products and services. Thus, it is imperative that you understand clearly why you are entering this market, and what the opportunity is, before committing any further to this idea. It is advisable to deeply research existing solutions and understand why they haven't fully satisfied the market.

Recommendations

  1. Thoroughly investigate why existing golf training solutions have struggled to gain widespread adoption. What are the common complaints or unmet needs among golfers? Understanding these shortcomings is crucial before investing further.
  2. Instead of directly competing, consider building tools or integrations for existing golf training platforms or services. This could be a less risky approach, leveraging established user bases and infrastructure. For example, you could build a module that integrates into existing software to provide visual feedback.
  3. Given the saturated market, explore adjacent problems in the golf industry that may offer more promising opportunities. Are there inefficiencies in course management, equipment maintenance, or player networking that you could address? Think outside of the direct training aspect.
  4. Refine your target audience. Instead of targeting all golfers, identify a specific niche that's underserved by current solutions, i.e. older golfers or golfers with specific ailments that prevent them from performing certain movements. This could allow you to tailor your product and marketing efforts for a higher chance of success.
  5. Before building, create a detailed go-to-market strategy. How will you reach your target audience? What marketing channels will you use? What is your pricing strategy? Consider the cost of acquiring new users and ensure your business model is sustainable.

Questions

  1. What specific, unique training methodology will your game incorporate that isn't already available through existing apps, videos, or in-person coaching?
  2. Considering the relatively low engagement with similar golf training products, how will you create a truly viral or engaging experience that motivates users to stick with the game and recommend it to others?
  3. If your product will incorporate some computer vision / AI, how will you navigate the data privacy concerns and ensure that users data is used responsibly? Can you even afford the compute costs for the AI models to work?

Your are here

Your idea for a golf range training game falls into a challenging category. The market for golf training aids has seen many attempts, but few have truly broken through. With 5 similar products identified, competition exists, suggesting some validation but also highlighting the difficulty in creating a standout product. Based on the similar products with low engagement (average 3 comments), it seems difficult to generate a viral effect around these kind of products. This indicates that most golfers might be happy with their training as is, or maybe they are already using the existing products and services. Thus, it is imperative that you understand clearly why you are entering this market, and what the opportunity is, before committing any further to this idea. It is advisable to deeply research existing solutions and understand why they haven't fully satisfied the market.

Recommendations

  1. Thoroughly investigate why existing golf training solutions have struggled to gain widespread adoption. What are the common complaints or unmet needs among golfers? Understanding these shortcomings is crucial before investing further.
  2. Instead of directly competing, consider building tools or integrations for existing golf training platforms or services. This could be a less risky approach, leveraging established user bases and infrastructure. For example, you could build a module that integrates into existing software to provide visual feedback.
  3. Given the saturated market, explore adjacent problems in the golf industry that may offer more promising opportunities. Are there inefficiencies in course management, equipment maintenance, or player networking that you could address? Think outside of the direct training aspect.
  4. Refine your target audience. Instead of targeting all golfers, identify a specific niche that's underserved by current solutions, i.e. older golfers or golfers with specific ailments that prevent them from performing certain movements. This could allow you to tailor your product and marketing efforts for a higher chance of success.
  5. Before building, create a detailed go-to-market strategy. How will you reach your target audience? What marketing channels will you use? What is your pricing strategy? Consider the cost of acquiring new users and ensure your business model is sustainable.

Questions

  1. What specific, unique training methodology will your game incorporate that isn't already available through existing apps, videos, or in-person coaching?
  2. Considering the relatively low engagement with similar golf training products, how will you create a truly viral or engaging experience that motivates users to stick with the game and recommend it to others?
  3. If your product will incorporate some computer vision / AI, how will you navigate the data privacy concerns and ensure that users data is used responsibly? Can you even afford the compute costs for the AI models to work?

  • Confidence: Medium
    • Number of similar products: 5
  • Engagement: Low
    • Average number of comments: 3
  • Net use signal: 12.9%
    • Positive use signal: 12.9%
    • Negative use signal: 0.0%
  • Net buy signal: 4.7%
    • Positive buy signal: 4.7%
    • Negative buy signal: 0.0%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

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