About
The Client wanted to build a software solution to assist brands and agencies with their influencer marketing campaigns by offering massive searchable databases of potential influencers, using AI algorithms. We helped to develop an interactive B2C web application while optimizing the speed of data loading that allowed customers to quickly identify and target the right individuals for their campaigns, potentially saving them time and resources.
Challenge, approach, and impact
Building a Scalable Influencer Discovery Platform
The client needed an interactive B2C web application that enables brands and agencies to search and evaluate millions of influencers across TikTok and Instagram. The platform had to support flexible filtering based on campaign criteria, deliver fast data loading despite large data volumes, and use AI-driven analysis of influencer profiles and engagement metrics to support informed decision-making.
How we built
Testimonials
Johannes R.
Creative agency
“We are delighted with our results and with DATAFOREST's professional services, they have helped us to generate additional revenue!“
Team structure
Client team
Johannes R
CEO
Project stakeholder
The client stakeholders were working closely with the team at Dataforest
Agency team
2 x Product Manager
Production
2 x Business Analytics
Production
4 x Data Engineer
Production
