Process

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Development process

Our primary goal was to develop a highly accurate, fast, and adaptable AI-powered application. We aimed to create a platform that empowers users to maximize campaign effectiveness by prioritizing data precision and offering flexible customization.

– Targeted Crawling: Our custom crawler is developed to extract relevant data from the website. This tool gathers information like keywords and links from the chosen pages.

– Pages Processing: If several crawling attempts fail, the page is marked as “failed.” Upon completing the crawling process, users can view page status. Then, there is an option to address failed pages or initiate another crawling attempt manually.

– AI Integration for Smart Campaign Creation:  We integrated OpenAI to analyze the collected website data. After the analysis, OpenAI generates keyword suggestions and ad copy tailored to the client’s website content.

Design process for MVP

While comprehensive design for the MVP wasn’t our priority, our team developed mockups to maintain a user-centric approach. The clean, straightforward interface minimizes distractions and ensures easy navigation and understanding of core functions. This foundational design is made to accommodate a more comprehensive design in later releases, allowing for a seamless transition based on user feedback.

Result

The platform successfully addresses the challenge of optimizing Google Ads campaigns for nonprofits with limited resources. Automating manual tasks and leveraging AI reduces the burden on nonprofits, maximizing the impact of Google's grants. User control features ensure flexibility and customization options tailored to the unique needs of each nonprofit client. By getting a Google Ads grant from our customer, nonprofits have also become equipped to create effective campaigns, potentially leading to increased website traffic, donations, and overall impact. Now we are actively gathering and incorporating user feedback to improve the platform. This will help us prepare the platform for scaling and successful launch.

Team

PM QA Backend dev

Frontend dev

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