Case Study
Ven Analytics - Talent Bidding
Industry : AdTech
Product Design · Web Development · Workflow Automation · Data Automation

Problem Statement
Bringing brands, agencies, and influencers onto one system, so nobody's negotiating in the dark.
Challenge
Brands, agencies, and influencers were all operating in silos. Brands had no real forecast on influencer spend and often ended up paying different rates for the same talent depending on which agency they went through. Agencies, in turn, had no structured way to manage bids and frequently ended up overspending their influencer budgets. Nobody in the chain had visibility into what anyone else was actually paying or offering.
Brands, agencies, and influencers negotiating in silos, with no visibility or forecast on influencer spend.
Our Approach
We developed a custom web application that automated much of Ven Analytics' manual workflow. The platform supports seamless Excel parsing and transforms uploaded data into clean, user-friendly dashboards. We implemented a structured bidding mechanism that allows influencers to compare and respond to agency offers efficiently. Admin-level approval and rejection flows were added to ensure proper control over talent onboarding and campaign execution.
Tech stack
AWS · Django · Figma · Vercel · Docker
The Outcome
The result is a structured bidding system that replaces siloed, manual negotiation with visibility and control - giving brands a real forecast on influencer spend, agencies a clear framework to manage bids within budget, and influencers a transparent way to compare and respond to offers.




