ART Finder(Team Astralytics)

Designed With 😇 :

• Aws
• Nextjs
• Py
• Vercel

Ad creation is a complex and time-intensive process that requires marketers to deeply understand their audience, uncover pain points, and analyze competitor strategies. To streamline this process, we developed ART Finder—an Automated Research and Trigger Finder that simplifies ad research by gathering and analyzing data from multiple platforms like Google, YouTube, Reddit, Quora, and app reviews. 💡 It identifies user triggers, highlights trends, and suggests high-performing hooks and CTAs tailored to the target audience. With features like *sentiment analysis, visualized insight, and a user-friendly dashboard, ART Finder empowers marketers to craft data-driven, impactful, and user-centric ads. 🚀

GitHub Link 🔗

• https://github.com/VedantDeore/ATRBackend

Deploy Link 🔗

• https://github.com/VedantDeore/ATRFrontend

Problem it solves 🙅‍♂️

• Creating effective advertisements is a daunting task for marketers. 😓 It requires identifying user pain points, analyzing audience behavior, staying updated with trends, and researching competitor strategies—all while crafting content that resonates with the target audience. This process is highly manual, time-consuming, and prone to human error, as it involves gathering data from diverse platforms like Google, YouTube, Reddit, Quora, and app reviews. 📊 Marketers often face challenges such as: Data Overload: Sorting through massive amounts of unstructured data to find meaningful insights. Inefficiency: Spending countless hours researching, only to miss critical details or trends. Inconsistent Strategies: Struggling to replicate successful competitor tactics without a comprehensive understanding of what works. Lack of Personalization: Failing to address audience-specific triggers or emotional pain points effectively. Limited Actionable Insights: Not knowing how to translate data into impactful hooks, CTAs, or ad formats. ART Finder solves these problems by automating the entire research process. 🚀 It scrapes data from various platforms, analyzes it to identify trends, user triggers, and competitor strategies, and provides marketers with actionable insights. 💡 This enables them to create ads that are: User-Centric: Tailored to address specific audience pain points and emotions. Data-Driven: Backed by trends, sentiment analysis, and competitor insights. Efficient: Saving marketers countless hours by automating the research phase. By turning raw data into valuable insights, ART Finder ensures that ads are not only impactful and engaging but also aligned with the audience’s needs, giving marketers a competitive edge in today’s fast-paced digital world. 🌟

Challenges I ran into 🙅‍♂️

• Building ART Finder wasn’t without its hurdles. One major challenge was handling diverse and unstructured data* scraped from multiple platforms. 🌐 Each platform had unique formats and structures, making it difficult to standardize the data for analysis. Implementing web scraping techniques that worked seamlessly across platforms like YouTube and Reddit required careful tuning to avoid incomplete or irrelevant data. Another challenge was performing real-time sentiment analysis and generating actionable insights from large datasets. We overcame this by leveraging DataStax AstraDB, which provided the scalability and speed needed for real-time data processing. However, ensuring the insights were accurate, culturally sensitive, and relevant involved refining our machine learning models to handle nuances in language and context. Lastly, deploying the project for a smooth and scalable user experience came with its own set of difficulties. Integrating a visually appealing, interactive dashboard while maintaining lightning-fast performance was challenging, but we successfully deployed the solution using Vercel, which provided global scalability and minimal latency. Despite these challenges, ART Finder now stands as a robust, innovative solution that redefines the ad creation process, helping marketers save time, enhance creativity, and drive better results. ✨