Ex-Meta technology architect, MAGI infrastructure builder
TLDR * There is no single "good" SaaS churn rate; benchmarks range from <5% annually for enterprise to over 30% for SMB-focused products. Your ACV and contract type define your real peer set. * Most published benchmarks suffer from survivorship bias and aggregate dissimilar companies, making direct comparison to
TLDR * Most SaaS companies miscalculate Customer Acquisition Cost (CAC) by using inconsistent definitions for "cost" and "customer," a problem that distorts the final number by 2-4x. * Before benchmarking or optimizing, you must standardize your inputs: use a fully loaded CAC, separate blended from channel-level CAC, and
TLDR * The SaaS Rule of 40 adds your revenue growth rate to your profit margin. A score of 40% or more is considered healthy, but this single number can be deeply misleading. * Two companies scoring 40 can have opposite futures. A company with 35% growth and 5% margin is compounding
TLDR * Always use gross-margin-adjusted LTV for decisions. Revenue-based LTV inflates the metric and leads to overspending on customer acquisition. * A single, blended LTV is a vanity metric. Segment LTV by acquisition channel, pricing tier, and cohort to find hidden inefficiencies and profitable growth pockets. * The standard LTV formula breaks with
TLDR * Stop building automation around marketing funnel stages (MQLs, SQLs). The highest-performing SaaS teams build automation around revenue events—product interactions that predict conversion, expansion, or churn. * Prioritize automating expansion and retention signals before acquisition. Workflows triggered by plan limit warnings or usage drops have a higher and faster ROI
TLDR * The SaaS quick ratio is calculated as (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR). A ratio above 4.0 is considered excellent. * A high quick ratio can be misleading. A 4.0 ratio driven by expensive new-logo acquisition is more fragile than a 3.0 ratio driven by
TLDR * The standard SaaS Magic Number is (Current Quarter Revenue − Previous Quarter Revenue) × 4 ÷ Previous Quarter S&M Spend. A value over 0.75 is considered efficient, but this is misleading without context. * Decompose the metric by revenue type. A blended magic number often hides inefficient new-logo acquisition behind
TLDR * Most SaaS marketing stacks fail because they are assembled by channel (SEO, email, etc.) instead of by execution layer (Identify, Prioritize, Ship, Measure). * The biggest gap in most stacks isn't in identifying problems, but in prioritizing and shipping fixes without engineering dependencies. * Your go-to-market motion dictates your
TLDR * Stop tracking vanity metrics like raw DAU. Instead, validate your activation event—the specific user action that correlates with 90-day retention—and measure your activation rate against it. * Replace aggregate churn rates with cohort retention curves. This reveals when and why users leave, showing you the true health of
TLDR * Stop measuring campaign-level ROI. It's structurally misleading in SaaS. Instead, use cohort-based analysis to track revenue contribution over 6, 12, and 24-month windows. * Your marketing ROI is a system of five interconnected metrics, not a single number. Focus on Blended CAC, Gross-Margin-Adjusted LTV, CAC Payback Period, Marketing
TLDR * Median benchmarks are misleading. A B2B SaaS company's performance is only comparable to others with the same go-to-market motion (PLG vs. sales-led) and company stage. * In the efficiency era (2023-present), investors prioritize metrics like CAC payback period (under 12-18 months), pipe-to-spend ratio (5-8x), and the Rule of
TLDR * B2B SaaS marketing benchmarks (median ~8% of ARR) are misleading without normalizing for your ACV and sales cycle length. A $15K ACV product and a $120K ACV product require entirely different budget architectures. * Your budget is a function of unit economics. If your LTV:CAC ratio is below 3: