AI-Powered Audience Segmentation Platform
From Raw Data to Actionable Insights.
Industry
Manufacturing
Product Type
SaaS Software
Duration
6 Month
Year
2023
Project Overview
Audience Intelligence is a secure, scalable SaaS platform that transforms raw first-party audience data into meaningful behavioural clusters, AI-generated audience personas, and actionable business insights — all in one unified web application.
The platform connects to multiple data sources (local CSV, SFTP, BigQuery, and SQL databases), runs ML-powered clustering analysis via Google Dataproc Serverless, and presents each segment through data tables, OpenAI-written descriptions, and DALL·E-generated persona images — enabling Sales, Marketing, and Content teams to understand exactly what their audiences do, not just who they are assumed to be.
Workflow Stages
Connect
Link data source
Map Columns
Define key fields
Run Analysis
ML clustering
View Results
Segments & personas
Activate
Export & downstream use
Business Challenges
- Generic Audiences: Publishers relied on advertiser-created segments that could be bought cheaper or in greater volume elsewhere.
- No First-Party Differentiation: Organisations had no way to create audiences from their own behavioural data, losing a key competitive edge.
- Manual Insight Processes: Deriving audience personas required specialist data science effort, making it slow and inaccessible to business teams.
- Fragmented Tooling: Data lived across local files, SFTP servers, BigQuery, and SQL databases — with no unified analysis layer.
Solutions Delivered
- Multi-Source Data Connection: Unified connector for local CSV, SFTP, BigQuery, and SQL databases — all managed from one platform.
- ML-Powered Clustering: Dataproc Serverless runs behavioural clustering via RabbitMQ job queues, with best-cluster recommendation built in.
- AI Persona Generation: OpenAI generates plain-language audience summaries; DALL·E creates photorealistic persona imagery per segment.
- Business-Ready Outputs: Segment tables, description tiles, PDF & Excel downloads, and subscription-gated access via Stripe integration.
Results & Outcome
Publishers can now create unique first-party audience segments unavailable to any competitor.
AI-generated personas bring each cluster to life for Sales, Marketing and Content teams.
Clustering runs fully automated - no data science resource required post-setup.
Multi-source data ingestion covers CSV, SFTP, BigQuery, SQL, and future cloud stores.
Subscription model (Stripe) enables scalable SaaS delivery across different client tiers.
Tech Stack
The Engine Behind SeamEase
Figma
UI/UX Design
React.js
Frontend
Node.js
Backend
REST APIs
Backend
MySQL
Database
Docker
DevOps / Infrastructure
Nginx
DevOps / Web Server
Cloud Server
Infrastructure
Integration
WhatsApp Alerts
Integration
