Ai powered OOH Ad media planning using location intelligence and ...

...demographics data

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Minimal Signal

There’s barely any market activity - either because the problem is very niche or not important enough. You’ll need to prove real demand exists before investing significant time.

Should You Build It?

Not yet, validate more.


Your are here

Your idea of using AI to power OOH (Out-of-Home) ad media planning with location intelligence and demographics data falls into the 'Minimal Signal' category. This means that currently, there isn't substantial market activity or validation for this specific approach. Our analysis, based on a small sample of similar products (n_matches=2), suggests that you're venturing into a niche or unproven area. The engagement around these similar products is also low (avg n_comments = 0), indicating a lack of strong user feedback, use signals or buy signals. Therefore, it's critical to validate the demand and viability of your idea before committing significant resources. Right now, you should focus on proving there's a real need for this and that people are willing to pay for the value it brings, before building anything.

Recommendations

  1. Given the 'Minimal Signal' category, start by directly engaging with your target audience to gauge their interest. Identify online communities, forums, or industry groups where media planners, advertisers, and marketing professionals gather. Present your idea and actively solicit feedback on their current challenges with OOH ad planning and whether your AI-powered solution addresses their pain points. Focus on truly understanding their workflows and existing toolsets.
  2. To validate the core value proposition, offer to manually solve the problem for a limited number of potential customers. This could involve providing AI-driven insights and recommendations for their OOH campaigns on a small scale, without building the full product. This hands-on approach will provide valuable insights into their needs, preferences, and willingness to pay for your solution.
  3. Create a concise and engaging explainer video showcasing the benefits of your AI-powered OOH ad planning solution. Highlight how it leverages location intelligence and demographics data to optimize ad placement and improve campaign performance. Track the video's completion rate and engagement metrics to gauge initial interest and identify areas for improvement.
  4. To gauge commitment, consider asking interested individuals for a small, refundable deposit to join a waiting list for your product. This demonstrates their willingness to invest in your solution and provides a tangible measure of demand. Clearly communicate the features and benefits they can expect when the product becomes available.
  5. Set a clear timeframe (e.g., 3 weeks) to actively pursue these validation efforts. If you're unable to find a minimum of 5 genuinely interested individuals or businesses, it may be necessary to re-evaluate the viability of your idea or pivot to address a different, more pressing need within the OOH advertising market.

Questions

  1. Considering the low engagement in similar products, what specific strategies will you use to generate initial user interest and encourage active feedback on your AI-powered OOH ad planning solution?
  2. Given the absence of clear buy signals in the market, what pricing model would be most attractive and justifiable to potential customers, and how will you demonstrate the ROI of your solution to justify its cost?
  3. How will you differentiate your AI-powered solution from existing OOH ad planning tools and services, and what unique value proposition will you offer to attract customers who are already using those alternatives?

Your are here

Your idea of using AI to power OOH (Out-of-Home) ad media planning with location intelligence and demographics data falls into the 'Minimal Signal' category. This means that currently, there isn't substantial market activity or validation for this specific approach. Our analysis, based on a small sample of similar products (n_matches=2), suggests that you're venturing into a niche or unproven area. The engagement around these similar products is also low (avg n_comments = 0), indicating a lack of strong user feedback, use signals or buy signals. Therefore, it's critical to validate the demand and viability of your idea before committing significant resources. Right now, you should focus on proving there's a real need for this and that people are willing to pay for the value it brings, before building anything.

Recommendations

  1. Given the 'Minimal Signal' category, start by directly engaging with your target audience to gauge their interest. Identify online communities, forums, or industry groups where media planners, advertisers, and marketing professionals gather. Present your idea and actively solicit feedback on their current challenges with OOH ad planning and whether your AI-powered solution addresses their pain points. Focus on truly understanding their workflows and existing toolsets.
  2. To validate the core value proposition, offer to manually solve the problem for a limited number of potential customers. This could involve providing AI-driven insights and recommendations for their OOH campaigns on a small scale, without building the full product. This hands-on approach will provide valuable insights into their needs, preferences, and willingness to pay for your solution.
  3. Create a concise and engaging explainer video showcasing the benefits of your AI-powered OOH ad planning solution. Highlight how it leverages location intelligence and demographics data to optimize ad placement and improve campaign performance. Track the video's completion rate and engagement metrics to gauge initial interest and identify areas for improvement.
  4. To gauge commitment, consider asking interested individuals for a small, refundable deposit to join a waiting list for your product. This demonstrates their willingness to invest in your solution and provides a tangible measure of demand. Clearly communicate the features and benefits they can expect when the product becomes available.
  5. Set a clear timeframe (e.g., 3 weeks) to actively pursue these validation efforts. If you're unable to find a minimum of 5 genuinely interested individuals or businesses, it may be necessary to re-evaluate the viability of your idea or pivot to address a different, more pressing need within the OOH advertising market.

Questions

  1. Considering the low engagement in similar products, what specific strategies will you use to generate initial user interest and encourage active feedback on your AI-powered OOH ad planning solution?
  2. Given the absence of clear buy signals in the market, what pricing model would be most attractive and justifiable to potential customers, and how will you demonstrate the ROI of your solution to justify its cost?
  3. How will you differentiate your AI-powered solution from existing OOH ad planning tools and services, and what unique value proposition will you offer to attract customers who are already using those alternatives?

  • Confidence: Low
    • Number of similar products: 2
  • Engagement: Low
    • Average number of comments: 0
  • Net use signal: 0.0%
    • Positive use signal: 0.0%
    • Negative use signal: 0.0%
  • Net buy signal: 0.0%
    • Positive buy signal: 0.0%
    • 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.

Similar products

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