A smart pricing tool built for a brand partnerships lead to calculate fair influencer collaboration rates using machine learning.
Built in collaboration with a brand partnerships professional who spent hours weekly manually calculating influencer rates in spreadsheets.
The Problem: Manual calculations for 20+ influencers/week, inconsistent pricing, no historical data tracking
The Solution: ML-powered calculator that learns from past collaborations
Enter creator metrics → Get instant pricing with 82% confidence based on historical data
- Time saved: 15 min → 30 seconds per calculation
- ML-powered: Analyzes similar creators, applies weighted performance + trend multipliers
Paste URL → Auto-extract metrics from social profiles
- Impact: Eliminated 5 min of manual data entry per creator
Search past deals → Justify new pricing based on creator growth
- Value: Institutional knowledge, contract negotiation leverage
Update with real performance → ML learns from 92.4% accuracy
- Why: Continuous improvement, validate ROI to stakeholders
87% overall prediction accuracy across 42 collaborations
- Usage: Monthly reporting, identify best-performing categories
Demonstrates:
- Customer-driven development: Built iteratively with user feedback
- Workflow automation: Reduced task time by 90%
- Serverless architecture: AWS Lambda + DynamoDB + Cognito
- Multi-tenant ready: Secure user isolation for agencies
- Data-driven decisions: ML improves with usage
Frontend: React + TypeScript + Vite Backend: AWS Lambda (Node.js 18) Database: DynamoDB (NoSQL with GSIs for ML queries) Auth: AWS Cognito (JWT tokens) Infrastructure: AWS CDK (IaC) Hosting: Netlify + AWS
- Time savings: 5 hours/week → 40 min/week (4.3 hours saved)
- Accuracy: 87% prediction rate
- Scale: Can evaluate 3x more creators in same time
Frontend (Netlify)
↓ HTTPS + JWT
API Gateway → Lambda Functions → DynamoDB
↓
Cognito Auth
Built by Eric Syvertsen with a brand partnerships lead
Showcases customer-driven development, serverless architecture, ML automation — applicable to SaaS onboarding & solutions engineering.