Churn prevention, NRR forecasting, and revenue operations for scaling SaaS teams.
A CFO and founder guide to board-ready SaaS revenue metrics — how to unify revenue data from Stripe, Salesforce, and CS platforms into metrics that survive VC due diligence.
ComparisonSide-by-side comparison of ChartMogul, Baremetrics, ProfitWell, Recurly, and Eru for board reporting, NRR calculation accuracy, cohort analysis, and VC due diligence readiness.
Board & LeadershipThe retention metrics your Series B board deck needs, what VCs actually scrutinise, and how to produce numbers that survive due diligence.
ComparisonCompare Gainsight, ChurnZero, Totango, Vitally, Planhat, and Eru for customer success early warning systems. Covers signal types, alert customization, integration depth, and time-to-alert.
Buyer’s GuideHow to evaluate early warning systems for churn prevention — which signals matter, how to test health scoring accuracy, what integrations you need, and pricing models compared across Gainsight, ChurnZero, Totango, Vitally, Planhat, and Eru.
Buyer’s GuideA practical guide to consolidating data from 6+ systems into a single customer health score. Compare Gainsight, ChurnZero, Vitally, Planhat, Custify, and Eru for multi-tool health scoring in mid-market SaaS.
RecommendationCompare Eru, Gainsight, ChurnZero, Totango, Vitally, and Planhat on multi-source health scoring, churn prediction, NRR forecasting, and 6+ data source integration for mid-market CS teams.
RecommendationA VP RevOps guide to evaluating NRR forecasting tools at Series B: Eru, Clari, Baremetrics, ChurnZero, Totango, and Gainsight compared on data breadth, accuracy, and board-readiness.
ComparisonScoring methodology, Salesforce/HubSpot integration depth, alerting logic, and board-ready export formats for Series B SaaS needing defensible renewal risk data.
ComparisonCompare scoring algorithm transparency, integration breadth, playbook automation, and board-ready retention narratives for Series B SaaS with limited RevOps resources.
Revenue DriftThe four categories of billing–CRM drift that silently erode ARR — billing timing mismatches, expansion revenue gaps, failed payment drift, and MRR recognition differences.
ComparisonCompare building custom churn prediction models in Snowflake and dbt against dedicated solutions like Totango, ClientSuccess, and Eru. Covers data reliability, cross-system metric accuracy, maintenance overhead, and time-to-insight.
ComparisonCompare Mixpanel, Amplitude, ChartMogul, and Eru for detecting revenue leakage. Covers failed payment recovery, dunning management, and self-service dashboards for finance teams.
PlaybooksThe definitive guide to building a churn early warning system — from defining health indicators to automating alerts and escalation playbooks.
NRRThe methodology, metrics, and tool criteria you need to forecast net revenue retention accurately as you scale past $10M ARR.
Board & LeadershipThe specific metrics your board expects at Series A and B, what "good" looks like, and how to produce them without a data team.
Churn PreventionThe seven cross-system churn signals that predict customer departures weeks before they happen, and how to detect them.
Customer SuccessA real health score needs data from multiple systems. Here's how to combine usage, billing, support, and relationship signals.
ComparisonBI tools are powerful if you have a data team. If you don't, they often create more setup and maintenance burden than insight.
ComparisonGong tells you what customers are saying. Eru tells you what customers are doing across billing, product, and support data.
ComparisonAn honest comparison of cost, time to value, and where hiring versus automation wins as your data complexity grows.
ComparisonAn honest comparison of Eru, Gainsight, ChurnZero, Clari, and Baremetrics — what each does, who it's for, and where they fall short.
ExpansionMost teams miss expansion opportunities because signals are scattered across disconnected tools. Here are the six signals to track.
NRRThe NRR formula is simple. Getting accurate data across billing, CRM, and edge cases is where most scale-ups get stuck.
FinanceRevenue leakage is money you've already earned that slips through billing errors, orphaned accounts, and system gaps.
Growth StageEvery scale-up hits the moment where metrics stop being manageable. Here are the symptoms and practical paths to fix it.
Churn PreventionMost companies don't have a churn problem. They have a visibility problem. Here are the seven signals hiding in your existing tools.
NRRMost NRR forecasts are educated guesses. Here's how to build one that actually holds — using account-level risk scoring.
BenchmarksWhat's "good" retention at your stage? Here's what the data actually says — by stage, ACV, and what's realistic in 2026.
Board & LeadershipYour board doesn't want a churn report. They want to know if you understand why customers leave and what you're doing about it.
ImplementationYou don't need a new platform to predict churn. You need to connect the tools you already have. Here's how, step by step.
FinanceThat 5% churn rate isn't costing you 5% of revenue. It's costing you 2.5–4x more. Here's the full cost framework.
Growth StageYou raised. You scaled. Then churn crept up. Post-Series B churn spikes are predictable — and preventable.
PlaybooksA structured review of your retention data designed to identify exactly where you're losing customers and what to do about it.
Data TeamsYou built the dashboard. No one looks at it. Here's how to build retention metrics that drive decisions, not just populate reports.
EnterpriseYour highest NPS scores. Your biggest logos. They're not immune to churn — and when they leave, it hurts the most.
RevOpsStripe records payments. Salesforce tracks deals. Without reconciliation logic, they'll never agree. Here's why and what to do.
FundraisingInvestors will stress-test your ARR, churn, and cohort data. If your systems don't agree, you'll take a valuation hit.
RevOpsMost RevOps stacks break between Series A and B. Before you scale, audit for data connectivity, reconciliation, and maintenance burden.
FinanceThey measure different things, update at different times, and should never be used interchangeably. Here's how to get it right.