Growth Metrics Checklist for SaaS

Choose signups, PQLs, or qualified demos based on PLG or sales-led motion, and track self-serve and enterprise separately so channels optimize for the right outcome.

Configure HubSpot or Salesforce with first-touch, last-touch, and data-driven models, pass UTMs via Segment, and persist to contact and account for reliable funnel analysis.

Include paid media, content, SDR/AE salaries, tools, and contractors, and reconcile with finance to avoid underreported CAC that inflates payback claims.

Measure visitor-to-signup conversion, Core Web Vitals, and form drop-off with GA4 and Hotjar, and set thresholds that trigger experiments when metrics degrade.

Report month-over-month growth in qualified leads and maintain 3x-4x pipeline coverage based on ARR targets using Salesforce reports and dashboards.

Track median and p90 sales cycle for SMB, mid-market, and enterprise to forecast capacity and spot process bottlenecks at specific stages.

Identify high-intent behaviors like integration connected or team invites and push PQL scores to CRM with Segment Personas or Hightouch for rapid sales follow-up.

Choose a moment like first data sync, first report shared, or first automation executed, and ensure consistent event tracking in Mixpanel or Amplitude.

Measure median and p90 time and reduce it with templates, setup guides, and in-app checklists using Appcues or Userpilot to drive faster conversion.

Instrument each step, slice by role and plan, and prioritize the step with the largest absolute user loss rather than percentage alone.

Use LaunchDarkly or Optimizely to test checklists and prompts, while monitoring activation rate, support tickets, and early retention as guardrails.

Compare 7, 14, and 30 day trials on trial-to-paid conversion and 3-month retention, and factor time-to-value before selecting a default.

Route high-intent accounts to SDRs within defined response times and track win rate uplift for PQLs versus MQLs to validate process changes.

Compute DAU divided by MAU and benchmark by product category and role to gauge habitual use, then set segment-specific targets.

Tag events for key features and analyze first and repeat use by signup month with Mixpanel or Amplitude retention tables to prioritize roadmaps.

Chart logo and revenue retention by plan, industry, and acquisition channel to identify cohorts with strong asymptotes and invest accordingly.

Split voluntary versus involuntary churn, and contraction versus downgrade, and collect structured reasons during cancel flows and support conversations.

Calculate GRR and NRR at account level including expansion and contraction and present 12 month views in ChartMogul or ProfitWell for trends.

Track payment failure and recovery rates and implement retries, card updater, and email sequences in Stripe, Chargebee, or Recurly.

Measure time to first response and resolution in Zendesk or Intercom and join to churn outcomes in your warehouse to quantify impact.

Report average revenue per account including add-ons and currency normalization to spot mix shifts that mask growth or contraction.

Reconcile new, expansion, contraction, churned, and reactivation MRR and publish a SaaS quick ratio for a clear health signal.

Compute months to recover CAC using gross margin for accuracy and track the SaaS magic number for sales efficiency trend analysis.

Measure seat growth, usage overages, and add-on attach rates and build upgrade funnels to identify friction and revenue opportunities.

Test packaging, price levels, and value metrics with experiment IDs and migration plans, and manage with Stripe Billing price objects.

Break out self-serve, PQL-assisted, and sales-led cohorts to identify channels that produce high LTV customers and double down.

Use cohort-based LTV that incorporates observed churn curves and gross margin rather than static churn and ARPA assumptions.

Implement ASC 606 compliant recognition for annual and multi-year deals and reconcile ARR and revenue so board metrics are consistent.

Define event names, properties, and persistent user and account IDs, version control the plan, and validate with CI to prevent schema drift.

Load app, billing, and CRM data to Snowflake, BigQuery, or Redshift and create tested dbt models for MRR, ARR, churn, and attribution.

Serve consistent definitions to Looker, Mode, or Metabase via dbt metrics or a semantic layer to prevent teams reporting conflicting numbers.

Create weekly growth reviews and monthly board prep with named owners for each KPI and publish a one pager and change log after each meeting.

Collect consent for cookies, honor GDPR and CCPA, support user deletion, and use server-side tracking where client-side blockers degrade data quality.

Alert when event delivery lag or model freshness exceeds thresholds that would break dashboards or delay decision making.