SaaS

SaaS Product Analytics Dashboard for B2B Platform

How we built a comprehensive product analytics dashboard for a SaaS company to track user engagement, feature adoption, and growth metrics.

Looker StudioBigQueryPostgreSQLREST API
Published: 1/20/2024

SaaS Product Analytics Dashboard for B2B Platform

Challenge

A B2B SaaS company needed better visibility into product usage and user behavior. Their data was scattered across multiple systems, and the product team spent significant time manually analyzing data to understand feature adoption and user engagement.

Solution

We built a comprehensive product analytics dashboard that integrated:

  • PostgreSQL Database - User and product usage data
  • BigQuery - Aggregated analytics data warehouse
  • REST API - Real-time feature usage metrics
  • Google Sheets - Customer success and support metrics

The dashboard provided:

  • User engagement metrics (DAU, MAU, retention)
  • Feature adoption tracking
  • User journey analysis
  • Revenue metrics (MRR, ARR, churn)
  • Customer health scores
  • Support ticket trends

Technologies Used

  • Looker Studio for visualization
  • BigQuery for data warehousing and ETL
  • PostgreSQL connector
  • Custom API integration
  • Advanced calculated fields for SaaS metrics

Results

Time Savings

The product team reduced data analysis time from 15+ hours per week to real-time access, enabling faster iteration.

Improved Decision-Making

Product roadmap decisions are now based on actual usage data, leading to better feature prioritization and a 30% increase in feature adoption rates.

Better Data Visibility

Executives, product managers, and customer success teams all have access to the same metrics, improving alignment and collaboration.

Key Features

  • Real-time Updates - Data refreshes every 15 minutes
  • Custom SaaS Metrics - MRR, ARR, churn, LTV, CAC
  • User Segmentation - Filter by plan, industry, or user type
  • Export Capabilities - Download reports for presentations

What the Client Said

“This dashboard has become essential to how we operate. We can’t imagine making product decisions without it. The insights we’ve gained have directly impacted our growth.”

Next Steps

Need help with your SaaS analytics? Contact us to discuss your product analytics needs.

Key Results

Time Saved
15+ hours per week on data analysis
Decision Making
Product roadmap decisions based on real data
Data Visibility
Unified product and business metrics

Interested in Similar Results?

Let's discuss how we can help transform your data into actionable insights.