Growth Metrics Checklist for SaaS

Instrument a unified signup event in GA4 and product analytics, then compare conversion by channel, campaign, and landing page. Set targets per segment and run A/B tests in VWO or Optimizely to close gaps.

Calculate CAC using fully loaded costs from finance plus CRM sourced deals for both blended and paid-only views. Use Salesforce or HubSpot with Stripe or Chargebee revenue to ensure apples-to-apples attribution.

Measure the month over month growth of qualified leads to forecast pipeline momentum. Pull from CRM with consistent qualification rules to avoid vanity spikes.

Publish explicit scoring rules based on ICP fit and intent signals, then track MQL to SQL conversion and time to qualification. Use HubSpot workflows or Salesforce scoring and iterate monthly.

Maintain a target ratio that keeps CAC payback inside goal while funding growth. Use first-touch and last-touch models with UTM discipline to understand true contribution of SEO and paid channels.

Augment lead scoring with early in-app behaviors like integration installed or data imported. Pipe Mixpanel or Amplitude events into the CRM via Hightouch or Census to prioritize outreach.

Identify the specific actions that correlate with retention, such as first data import, first integration, or inviting a teammate. Track persona-based activation in Amplitude and review weekly.

Measure median time-to-value and optimize the path with templates, default data, or sample projects. Use Pendo or Appcues to guide users and compare cohorts before and after changes.

Instrument each onboarding step as an event funnel and quantify where users stop. Prioritize fixes by impact and validate improvements with sequential A B tests.

Cohort users by signup month and acquisition channel, then compute conversion and median time to purchase. Reconcile with Stripe or Recurly to ensure accuracy and reduce free rider leakage.

Count the number of distinct key actions and their frequency in week one, then correlate with week 8 retention. Use feature flags in LaunchDarkly to sequentially nudge depth on underused features.

Calculate the percentage of activations that required support plus the median time to first reply. Tag Zendesk or Intercom tickets with activation blockers to feed a monthly elimination backlog.

Use a consistent movement taxonomy so month over month drivers are clear. Tools like ChartMogul or Baremetrics standardize this view and reduce spreadsheet drift.

Analyze average revenue per account at plan level and by SMB, mid market, and enterprise. Identify packaging gaps where high value features are underpriced or poorly tiered.

Monitor NRR and GRR with cohort cuts by segment and channel. Target NRR above 110 percent for B2B and diagnose expansion drivers like seat growth or usage units.

Include ad spend, salaries, software, and commissions to get a true months to recover CAC value. Track by channel to reallocate budget toward the fastest payback sources.

Report average and p75 discount by segment, and require approvals above thresholds. Model the impact on LTV to CAC so deal desk decisions stay grounded in unit economics.

Track recoveries from retries, emails, and in-app prompts, then benchmark against peers. Configure Stripe Billing smart retries and add Churn Buster style flows for high risk segments.

Show both counts and dollars, then slice by cohort, plan, and acquisition channel. Avoid blended views that hide high churn in specific segments.

Include usage depth, seat utilization, ticket volume, NPS, and payment risk. Operationalize in Gainsight, Vitally, or ChurnZero so CSMs get actionable views, not vanity dashboards.

Define time-bound actions when accounts slip below health thresholds, such as outreach within 24 hours. Trigger alerts in Slack via Zapier and track adherence to SLAs.

Compare predicted renewal amounts against realized results and backtest the model quarterly. Calibrate forecast drivers with real engagement and usage trends from product analytics.

Quantify expansion MRR in pipeline and conversion rates from success-led motions like seat true-ups and add-on upsells. Provide playbooks with value proofs tied to product telemetry.

Trigger surveys after activation, after support interactions, and before renewal to track sentiment trends. Use Delighted or Wootric and close the loop within 48 hours for detractors.

Pick a leading indicator tied to delivered value, such as weekly active teams or reports shipped. Document its definition, query, and owner so it does not drift over time.

Score accounts based on usage thresholds and fit, then push PQLs to Salesforce via Census. Track conversion to opportunity and revenue to validate the scoring model.

Measure multi user behaviors like seat invites, role assignment, and first shared artifact. These signals usually correlate strongly with stickiness in collaborative SaaS.

Plot adoption over time for sticky features and run nudges where curves lag. Use Pendo guides or in app tips and confirm uplift with cohort based retention.

Compute invites per active user, acceptance rate, and activation of invitees to quantify virality. Optimize invite UX and experiment with seeded value to increase conversions.

Use WAU and DAU to WAU or WAU to MAU ratios to gauge habitual use. Segment by cohort and plan so power users do not mask poor engagement in new segments.

Report median and p75 cycle times from first touch to close for SMB, mid market, and enterprise. Identify stage bottlenecks and remove blockers with clearer security and procurement paths.

Capture competitive context and loss reasons in CRM, not free text notes. Use this data to tune pricing, packaging, and battlecards where win rates lag.

Aim for 3 to 4x coverage relative to targets and enforce entry criteria tied to intent or product usage. Remove zombie deals monthly to keep forecasts honest.

Measure conversion from demo to proposal and proposal to close, plus time spent in each stage. Use Gong or Chorus insights to coach against patterns that extend cycles.

Track time to first deal, time to full quota, and bookings per rep by tenure. Use this to plan hiring backfill and to standardize enablement that accelerates ramp.

Use a scorecard with firmographic and technographic signals to filter early. Enrich with Clearbit and track disqualification reasons to refine campaigns and SDR outreach.