Your team shouldn’t be guessing about risk, readiness, or renewal.
Revenue Labs gives CS a GTM system that sees what’s changed, learns from every account, and tells you what to do next.
We've worked with GTM teams at:
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— Head of Customer Success, $50M ARR SaaS
Traditional CS platforms require manual configuration, static health scores, and constant maintenance. Revenue Labs builds dynamic intelligence that learns from your actual churn and expansion patterns; then enriches customer accounts with context from across your stack, auto-scores accounts with reasoning, surfaces risk before accounts go red, and does your prep for meetings + QBRs for you.
Most CS teams are live in 2-3 weeks. We connect your CRM, product analytics, and support systems, analyse your historical churn/expansion data, then deploy AI workers for QBR prep, risk detection, and account monitoring. No engineering required.
No. Revenue Labs sits on top of your stack (CRM, call recording, product analytics, support tools) and enriches it with real-time intelligence. We don't replace; we make your existing tools smarter by adding context, scoring, and automation.
Yes. Revenue Labs pulls from multiple sources (product usage, support tickets, CRM activity, conversations, sentiment) to build a complete picture. Even if one data source is weak, the system reasons across all available signals to score accounts and detect risk.
The system analyses every churned account in your history; usage patterns, support sentiment, stakeholder engagement, feature adoption - then identifies which signals predicted churn. It applies those patterns to your active accounts and scores risk with reasoning.
No. We handle integration, modelling, and infrastructure. Your CS team focuses on strategy and customer conversations. If you want to customise scoring logic or add new data sources, we do that for you—no code required.
No. Our team handles data integration, modeling, and setup. You connect your tools, we build the intelligence layer. If you can use Salesforce and run campaigns, you can use Revenue Labs. No SQL, no data pipelines, no waiting on engineering.
CSMs see intelligence where they already work: CRM shows account health with reasoning, Slack surfaces risk alerts and expansion opportunities, and QBRs auto-generate with usage analysis and recommended actions. No new logins, no dashboard hunting.
Absolutely. The system starts by learning from your historical churn and expansion data, then adapts as it sees new patterns. You can adjust signal weights, add custom metrics, or define what "healthy" means for different customer segments.
Most teams see impact within 30-60 days: QBR prep time drops 89%, early churn detection improves 3x, and CSMs reclaim 45% more capacity for strategic work. Expansion pipeline typically grows 20%+ within the first quarter as opportunities surface automatically.
New CSMs inherit complete account context automatically; meeting history, sentiment analysis, health trends, stakeholder relationships, and recommended actions. What used to take weeks of shadowing and account handoffs now happens instantly. Teams see 2x faster ramp times.
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