SaaS Analytics & Data Strategy
Drive product-led growth with comprehensive SaaS analytics. We help subscription businesses track MRR, reduce churn, and optimize customer lifetime value through strategic measurement frameworks using GA360, PostHog, and BigQuery.
Tools we commonly use for saas
SaaS Case Studies
See how we’ve helped saas organizations solve measurement challenges and drive growth.
Canary
Loop & Tie
Qualtrics
PropFirm Match
Vidalytics
Massage Book
PollEverywhere
MemeLord
Frequently Asked Questions
Common questions about saas analytics and data strategy
What analytics tools work best for SaaS companies?
For SaaS analytics, we recommend a combination of Google Analytics 360 for marketing attribution, PostHog for product analytics, and BigQuery for data warehousing. This stack provides comprehensive visibility into both acquisition and product-led growth metrics.
How do you track MRR and subscription metrics?
We implement custom data pipelines that connect your billing system to your analytics warehouse, enabling real-time MRR tracking, cohort analysis, and churn prediction models through dashboards in Looker Studio.
Can you help with B2B attribution across long sales cycles?
Yes, we specialize in multi-touch attribution for B2B SaaS with sales cycles of 30-180+ days. Our approach connects marketing touchpoints to CRM data, providing clear visibility into which channels drive qualified pipeline.
How do you measure product-led growth (PLG)?
We implement product analytics using PostHog to track user activation, feature adoption, and expansion triggers. This data feeds into your growth models to identify which product behaviors correlate with conversion and retention.
Explore Other Industries
Our data strategy and analytics expertise extends across multiple verticals.