Revenue Ops Command Center
Unified revenue dashboard with real-time MRR, churn, expansion metrics, and AI-generated weekly narrative briefings.
Real-time
Revenue Reporting
5 days
Reporting Time Eliminated
23%
Net Revenue Retention Up
AI
Weekly Narratives
Salesforce
Sales Data
Segment
Product Analytics
dbt
Data Transforms
Retool
Dashboard UI
The Problem
The Challenge
A Series B SaaS company with $8M ARR had data spread across 6 tools: sales pipeline in Salesforce, product usage in Segment, support metrics in Zendesk, billing in Stripe, finance in spreadsheets, and marketing in HubSpot. The RevOps lead spent a full week every month pulling data from each tool, reconciling numbers in Excel, and building a board deck. The leadership team was making decisions based on data that was 3-4 weeks old. They had no real-time visibility into MRR, churn, expansion, or pipeline health.
How We Fixed It
Our Solution
Mapped the data architecture: identified every source system, the key metrics each one holds, and how they connect (e.g., Salesforce account ID → Segment user ID → Stripe customer ID).
Set up Segment to collect and route product usage events to a PostgreSQL data warehouse, alongside data syncs from Salesforce, Stripe, and Zendesk.
Built dbt models that transform raw data into clean, business-logic tables: MRR calculations (new, expansion, contraction, churn), cohort analyses, pipeline velocity metrics, and support health scores.
Deployed Retool dashboards with real-time views: MRR waterfall, churn analysis, expansion revenue, pipeline coverage, rep performance, support SLA compliance, and customer health scores.
Integrated OpenAI to generate weekly narrative briefings: plain-English summaries of key trends, anomalies, and recommended actions based on the underlying data.
Configured Slack delivery: Monday morning briefings with key metrics, week-over-week changes, and red flags — delivered to leadership, sales, CS, and product channels.
Tools & Infrastructure
Tech Stack
Salesforce
Sales data source. Provides pipeline, deal stage, revenue forecasts, and account relationship data for the unified model.
Segment
Product analytics pipeline. Collects user behavior events and routes them to the data warehouse for usage-based health scoring.
dbt
Data transformation layer. Converts raw data from multiple sources into clean, tested, version-controlled business metrics and models.
Retool
Dashboard and reporting UI. Real-time interactive dashboards for leadership, with drill-down capabilities and role-based access.
Impact & Outcomes
The Results
Real-time
Revenue Reporting
Revenue metrics updated in real-time instead of monthly — leadership makes decisions on current data, not 3-week-old snapshots.
5 days
Reporting Time Eliminated
Monthly reporting that took a full week now happens automatically and continuously.
23%
Net Revenue Retention Up
Better visibility into expansion and churn signals improved NRR from 108% to 133% over 6 months.
AI
Weekly Narratives
AI-generated Monday morning briefings give leadership plain-English insights without needing to interpret dashboards.
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