01 Jul 2025
Tech

an App to Protection seniors from scam calls and messages

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

Protecting seniors from scams is a noble goal, but unfortunately, there's a lot of competition already in this space, as indicated by the 12 similar products we found. This puts your idea squarely in the 'Swamp' category, meaning many have tried and few have truly succeeded. These products tend to have low engagement, averaging only 2 comments. Given the existing solutions, it will be tough to stand out. Many users of similar apps are worried about lack of due diligence, and that the apps only perform "after-the-fact analysis". This isn't to discourage you, but it's important to be realistic. You'll need to offer something fundamentally different to gain traction.

Recommendations

  1. Begin with thorough market research to understand why existing scam protection apps haven't fully met the needs of seniors. What are their pain points and unmet expectations? Look at the critical feedback these products receive and find a way to address them.
  2. Instead of directly competing with established apps, identify a specific niche within the senior demographic that is currently underserved. For example, are there particular types of scams that target a specific group of seniors that are not effectively addressed by current solutions? Or are there specific technological skill levels that determine usability? Focus on making the app easily accessible.
  3. Explore the possibility of creating tools or features that can be integrated into existing platforms or apps used by seniors, rather than building a standalone application. For example, could you develop a plugin for popular messaging apps that flags potential scams? This could be more effective as users are already familiar with these platforms.
  4. Thoroughly investigate how your app will determine whether something is a scam. How often will the database be updated? How will you handle false positives? Be transparent about your scam detection process and build trust by ensuring accuracy and reliability.
  5. Consider focusing on a proactive solution rather than an after-the-fact analysis. How can you prevent scams from reaching seniors in the first place? This could involve advanced call filtering techniques, AI-powered message analysis, or educational resources that empower seniors to recognize and avoid scams.
  6. Develop a website that provides comprehensive information about your app, including its functionality, scam detection methods, data privacy policies, and team members. Build trust by being transparent and providing resources.
  7. Prioritize security and data privacy in your app development. Implement robust security measures to protect user data and prevent potential misuse or loss of sensitive information.

Questions

  1. What specific scam detection methods will your app employ, and how will you ensure their accuracy and effectiveness in identifying emerging scam tactics?
  2. How will you address the challenge of maintaining an up-to-date and comprehensive database of scam numbers and messages, given the constantly evolving nature of scams?
  3. What strategies will you implement to educate seniors about scams and empower them to protect themselves, beyond simply relying on your app's automated detection features?

Your are here

Protecting seniors from scams is a noble goal, but unfortunately, there's a lot of competition already in this space, as indicated by the 12 similar products we found. This puts your idea squarely in the 'Swamp' category, meaning many have tried and few have truly succeeded. These products tend to have low engagement, averaging only 2 comments. Given the existing solutions, it will be tough to stand out. Many users of similar apps are worried about lack of due diligence, and that the apps only perform "after-the-fact analysis". This isn't to discourage you, but it's important to be realistic. You'll need to offer something fundamentally different to gain traction.

Recommendations

  1. Begin with thorough market research to understand why existing scam protection apps haven't fully met the needs of seniors. What are their pain points and unmet expectations? Look at the critical feedback these products receive and find a way to address them.
  2. Instead of directly competing with established apps, identify a specific niche within the senior demographic that is currently underserved. For example, are there particular types of scams that target a specific group of seniors that are not effectively addressed by current solutions? Or are there specific technological skill levels that determine usability? Focus on making the app easily accessible.
  3. Explore the possibility of creating tools or features that can be integrated into existing platforms or apps used by seniors, rather than building a standalone application. For example, could you develop a plugin for popular messaging apps that flags potential scams? This could be more effective as users are already familiar with these platforms.
  4. Thoroughly investigate how your app will determine whether something is a scam. How often will the database be updated? How will you handle false positives? Be transparent about your scam detection process and build trust by ensuring accuracy and reliability.
  5. Consider focusing on a proactive solution rather than an after-the-fact analysis. How can you prevent scams from reaching seniors in the first place? This could involve advanced call filtering techniques, AI-powered message analysis, or educational resources that empower seniors to recognize and avoid scams.
  6. Develop a website that provides comprehensive information about your app, including its functionality, scam detection methods, data privacy policies, and team members. Build trust by being transparent and providing resources.
  7. Prioritize security and data privacy in your app development. Implement robust security measures to protect user data and prevent potential misuse or loss of sensitive information.

Questions

  1. What specific scam detection methods will your app employ, and how will you ensure their accuracy and effectiveness in identifying emerging scam tactics?
  2. How will you address the challenge of maintaining an up-to-date and comprehensive database of scam numbers and messages, given the constantly evolving nature of scams?
  3. What strategies will you implement to educate seniors about scams and empower them to protect themselves, beyond simply relying on your app's automated detection features?

  • Confidence: High
    • Number of similar products: 12
  • Engagement: Low
    • Average number of comments: 2
  • Net use signal: 8.3%
    • Positive use signal: 11.7%
    • Negative use signal: 3.5%
  • Net buy signal: -3.5%
    • Positive buy signal: 0.0%
    • Negative buy signal: 3.5%

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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