Need ideas for marketing (Feedback Please)

So I built (adinsights.ai)[https://adinsights.ai] and I'm seeking additional evidence on where else I should share the service.

Places shared

1. Kate Miller's 170+ AI Directories To Submit Your AI App
2. Reddit.com (subreddits specific to our ICP)
3. Organic outreach via cold emails + calls (most recent strategy where I hired a team to handle lead generation and outbound sales)

Product Features

1. AI-Driven Action Item Generation: Utilize the power of AI to generate intelligent action items from your ad campaign data. Our advanced algorithms analyze the data to provide you with actionable insights to optimize your campaigns effectively.

2. Objective-Based Analysis: Input your primary objective for the analysis, such as improving conversions or increasing click-through rates. AdInsights.ai tailors its recommendations to your specific goals, helping you achieve desired outcomes.

3. Seamless Integration with Multiple Platforms: Easily upload your digital ad campaign data from various platforms, including Google Ads, Facebook Ads, Instagram Ads, and LinkedIn Ads. AdInsights.ai provides compatibility and a centralized view of your campaign performance.

4. Personalized Recommendations: Receive actionable items that are tailored to your campaign objectives. Whether it's refining audience targeting, optimizing ad spend allocation, or enhancing ad creative elements, AdInsights.ai provides specific recommendations based on your data.

5. Data-Driven Decision Making: Leverage data analytics to make informed decisions. AdInsights.ai transforms complex ad campaign data into clear and actionable insights, empowering you to optimize your advertising strategy based on real data.

Pain Points

1. Lack of Actionable Insights: Difficulty extracting intelligent actionable insights from ad campaign data, leading to challenges in making informed decisions for optimization.

2. Time-consuming Analysis: Manual analysis of ad campaign data is time-consuming and inefficient, taking away valuable time from other marketing activities.

3. Unclear Optimization Strategies: Without clear recommendations, it's challenging to identify the most effective optimization strategies for ad campaigns.

Customer Interests From Feedback

1. Optimization Efficiency: Customers are interested in optimizing their ad campaigns efficiently and effectively, saving time and resources in the process.

2. Data-Driven Decision Making: Customers seek insights and recommendations backed by data analysis to make informed decisions and enhance campaign performance.

3. Goal-Oriented Optimization: Customers are interested in aligning their ad campaign optimization efforts with specific objectives, such as increasing conversions or maximizing ROI.

4. Streamlined Data Management: Customers want a centralized platform that seamlessly integrates with various ad campaign platforms, providing a comprehensive view of campaign data.

5. Actionable Recommendations: Customers are interested in receiving specific and actionable recommendations that help improve targeting, creative elements, and overall campaign performance.