Genie Coders

Designed With 😇 :

• Aws

App Insights Generator is a tool that automates the process of gathering actionable insights from app reviews. By leveraging Natural Language Processing (NLP) models, the tool extracts user pain points and provides solutions based on feedback from real app users. This helps product managers, marketers, and developers make data-driven decisions to improve app performance and user satisfaction.

Practical Applications:

• Product Improvement: By analyzing user feedback, developers can identify common issues (such as crashes, bugs, slow performance, etc.) and prioritize fixes for the next app release.
• Marketing Strategy: Marketers can gain valuable insights into user preferences and needs, allowing them to craft more targeted and effective ad campaigns.
• User Experience: Provides a deeper understanding of what users like and dislike about an app, enabling better UI/UX design decisions.

Key Features:

• Pain Point Extraction: Automatically identifies common pain points from user reviews.
• Sentiment Analysis: Analyzes the sentiment of reviews to help understand user emotions (positive, neutral, or negative).
• Actionable Insights: Offers suggested solutions based on identified pain points, such as improving performance or adding missing features.
• App Metrics: Displays total downloads, reviews, and ratings to give context to the insights.

This tool can significantly enhance existing workflows by automating the research process, saving time, and improving the quality of decision-making with data-backed insights.

Enhances Tasks:

• For Developers: Quick identification of bugs and stability issues based on user feedback.
• For Marketers: Focus on user-driven improvements to enhance engagement and satisfaction.
• For Product Managers: Streamline decision-making with insights into user needs, behavior, and sentiment.

GitHub Link 🔗

• https://github.com/omkargarad78/Hackathons_LevelSuperMind

Deploy Link 🔗

• https://github.com/omkargarad78/Hackathons_LevelSuperMind

Problem it solves 🙅‍♂️

• 1. Ad Creation & Campaign Optimization ART Finder enhances the ad creation process by automating the research and data-gathering phase. By scraping multiple data sources like Google, YouTube, Reddit, Quora, and app reviews, it helps marketers quickly identify common user pain points and triggers. This enables marketers to tailor their ads to address these pain points and increase ad relevance and effectiveness. Example: If users frequently mention dissatisfaction with app speed or performance in app reviews, ART Finder can suggest incorporating CTAs like "Try our fast, optimized app!" to address this issue directly. 2. Competitor Analysis Understanding what competitors are doing right (or wrong) is critical in creating competitive ads. ART Finder analyzes competitor ads to identify successful hooks, calls-to-action (CTAs), and content formats. By learning from competitors' strategies, ART Finder helps businesses refine their own ad messaging and positioning. Example: If a competitor’s ad consistently receives high engagement by using a particular CTA, ART Finder can recommend adopting a similar strategy. 3. Automated Sentiment & Trend Analysis ART Finder performs sentiment analysis on app reviews and social media posts, providing real-time insights into user emotions and preferences. By analyzing this data, marketers can detect trends, identify common frustrations, and tailor their messaging to resonate more effectively with their target audience. Example: If users express frustration over a bug in a fitness app, ART Finder can recommend messaging that reassures customers that a solution is coming soon, thus improving user satisfaction.

Challenges I ran into 🙅‍♂️

• 1. Time-Consuming Research Ad creation and optimization often require extensive research across multiple platforms. Marketers manually collect data from various sources, such as Google reviews, YouTube, social media, and competitor ads. This process is time-consuming and can delay campaign execution. ART Finder automates the data-gathering phase, allowing marketers to quickly access valuable insights. 2. Difficulty in Identifying Key Pain Points Marketers often struggle to identify the real pain points of their target audience. Without effective analysis tools, it’s easy to miss crucial issues or fail to address key user frustrations in ad messaging. ART Finder automatically scrapes user feedback and reviews, identifying common pain points like app performance issues, bugs, or missing features, which marketers can address in their ads. 3. Lack of Insights into Competitor Strategies Competitor analysis is an essential part of crafting effective ads. However, manually monitoring competitor ads, tracking trends, and analyzing what works can be a daunting task. ART Finder analyzes competitor ads and uncovers high-performing hooks, CTAs, and content formats, giving marketers a competitive edge and insight into strategies that resonate with audiences. 4. Creating Irrelevant or Generic Ads Without deep insights into the target audience’s preferences, many ads fall flat or feel too generic. ART Finder leverages sentiment analysis to understand user emotions from reviews and social media, helping marketers create ads that are tailored to real user needs and pain points.