Cohort analysis groups customers by a shared start period and tracks their behavior over time. The cohort retention chart—a grid with cohorts as rows and months since signup as columns—visualizes how each vintage of customers behaves. The retention curve that emerges can take different shapes: a smooth decline, a steep early drop followed by stabilization, or a "smile" curve that flattens or improves before declining. These shapes diagnose product-market fit, onboarding quality, and the presence of compounding usage. Cohort analysis also drives the most accurate LTV calculation, replacing formula assumptions with observed cumulative gross-margin revenue per cohort.
Segmentation shapes every assumption about acquisition and retention. In SaaS, the SMB, mid-market, and enterprise segments differ sharply. Typical SMB ACVs run \$1k–\$10k per year, mid-market customers often have 100–1,000 employees and \$10k–\$100k ACV, and enterprise ACVs are frequently \$50k+ and sometimes \$100k+. Sales cycles scale with segment: SMB SaaS often closes in 1–4 weeks (transactional or self-serve) up to a few months with sales assistance, while enterprise SaaS typically runs 6–12 months and sometimes longer for strategic deals. Average contract length in enterprise is 1–3 years, with multi-year discounts common. Pipeline coverage—the ratio of open pipeline value to remaining quota—is commonly 3x–4x for a healthy quarter, reflecting the need to over-supply the funnel given typical conversion rates.
Customer health and pricing model reinforce the operational picture. Customer success is proactive, driving adoption and retention; customer support is reactive, resolving issues as they arise. NPS (Net Promoter Score) is the difference between the percentage of Promoters and Detractors, with above 30 considered solid and above 50 excellent for B2B SaaS. Product-led growth (PLG) shifts acquisition and conversion into the product itself, often via self-serve, with healthy free-to-paid conversion rates of 3–8%. The most common cause of high logo churn in SMB SaaS is failure to reach activation or "a-ha" moments and lack of ongoing engagement. Revenue concentration risk is a particular concern in early-stage SaaS, where the top 10% of customers can account for 50%+ of ARR; a "whale" customer churning can swing quarterly numbers. Net new logo growth, the count of new customers added net of churned customers, complements revenue growth by revealing whether the customer base itself is expanding.