Real-Time Data Analytics for MarTech

Transforming B2B Marketing Intelligence for a Series C SaaS Company

Executive Summary

A fast-growing Series C MarTech SaaS company wanted to modernize and scale its event analytics capabilities. Our team designed and implemented a real-time AI-powered data pipeline that enabled precise B2B marketing intelligence, reduced operational overhead, and accelerated enterprise customer acquisition.

Challenge

High latency and low accuracy in customer insights
Limited segmentation and targeting capabilities
Increased cloud costs and poor disaster recovery posture
Engineering bottlenecks due to fragmented architecture

Solution

1. Platform Modernization

Migrated to AWS using Kubernetes and other AWS services
Implemented real-time ingestion and streaming using Kinesis

2. AI-Driven Intelligence Layer

Real-time data enrichment for lead scoring and segmentation
Used LLMs for semantic content tagging and clustering

3. Analytics & Reporting Engine

ETL pipeline to Redshift with looker dashboards
Exposed APIs for sales and marketing ops teams

4. Team Scaling & Delivery

Scaled engineering team from 3 to 50+ consisting Frontend, Backend, QA, Devops, Data Engineers, Data Scientists and Architects
Led end-to-end execution and roadmap planning with CTO and handled on-time high quality delivery

Results

Impact Area	Outcome
Event Scalability	Scaled from 10K to 10M+ daily web events
Data Latency	Reduced from 24h to under 3 minutes
Data Reliability	Successfully out-performed SLAs of 99.99% with disaster recovery solutions
Cloud Efficiency	30% reduction in AWS operational costs
Revenue Impact	Helped close 2 Fortune 100 clients
Engineering Velocity	5x faster product delivery with DevOps automation

Technologies Used

AWS · Kubernetes · Kafka · Amazon Redshift · Python · Node.js · React.js · MongoDB · AWS Lambda · Looker · Cloud-Native Architecture · LLM Integration · DevOps Automation

Business Takeaway

By implementing a robust AI-enabled data pipeline, the client dramatically improved its customer analytics and go-to-market strategy. The initiative became a strategic asset during M&A discussions and fueled their enterprise expansion efforts.