Growth Metrics Checklist for Digital Marketing

Map business goals to a KPI hierarchy that ties north-star outcomes like activated accounts and net revenue retention to channel-level metrics. This prevents vanity reporting and makes trade-offs visible during budget shifts.

Create a clean event schema for signup_start, signup_complete, trial_started, aha_moment, subscription_started, and cancellation. Use GA4 custom dimensions to pass plan tier, role, and source for segmented analysis.

Document a strict UTM structure for source, medium, campaign, term, and content, with examples for Meta, Google Ads, LinkedIn, and email. Validate links with automated regex checks and reject non-compliant tags in workflows.

Set up a GTM server container and wire Meta CAPI, Google Enhanced Conversions, and LinkedIn CAPI to mitigate cookie loss and iOS privacy gaps. Compare event match quality weekly and backfill where match rates dip.

Push qualified pipeline and Closed Won events from HubSpot or Salesforce back into Meta, Google, and LinkedIn for better bidding. Attribute revenue to keywords and audiences rather than only to lead form completions.

Pipe ad costs, GA4 events, and CRM revenue into BigQuery or Snowflake for blended views like MER and payback. Build a Looker Studio dashboard with channel, campaign, cohort, and region filters for weekly reviews.

Calculate MER as total revenue divided by total media spend, and blended CAC as total spend over new customers. Trend these weekly by cohort and target to catch shifts masked by last-click ROAS.

Join ad spend to realized gross margin and cohort revenue from Stripe, ChartMogul, or ProfitWell. Flag channels that exceed target payback windows so budget can move to higher return segments.

On Meta, watch frequency and first 3-second view rates alongside CTR and CPC to detect fatigue. Rotate creative when frequency rises above 2.5 to 3.0 and CTR drops 20 percent from baseline.

Reserve 10 to 20 percent of markets as holdouts or run placebo ads to estimate lift. Use Measured, Recast, or platform experiments to quantify true incremental conversions rather than cannibalized demand.

Audit Impression Share, search terms, and auction insights weekly to expand winning queries and negate waste. Feed offline conversion values to Google Ads so bidding prioritizes SQLs and revenue, not clicks.

Track non-brand clicks and top 10 rankings in Google Search Console, and tie SEO pages to trials and demos. Use Ahrefs to find content gaps and report on CVR from blog templates to activated accounts.

Pick a product action that correlates with retention, such as creating the first project or inviting a teammate. Set a time-to-value goal like 24 hours and monitor the percentage of new users that achieve it.

Use Mixpanel or Amplitude to visualize conversion from ad click to signup to onboarding completion. Add properties like channel and campaign to spot friction by source and landing page template.

Calculate minimum detectable effect and run tests to completion to avoid false positives. Use VWO or Optimizely and set guardrails on bounce rate and lead quality, not only on click-through.

Analyze rage clicks, scroll depth, and form abandonment in Hotjar or FullStory. Pair qualitative insights with funnel data to prioritize fixes that move activation and trial-to-paid conversions.

Experiment with trial length, freemium gating, and annual plans, but decide on ARPU, net revenue, and payback rather than top-line conversion alone. Track impact by segment and acquisition source.

Measure open, click, and conversion from trigger-based emails or in-app guides in Customer.io, Braze, or Intercom. Use behavioral segments like feature usage and plan limits to time messages that drive value.

Review weekly and monthly retention by signup cohort and source to see which channels attract engaged users. Pair with DAU/MAU to monitor product habit formation and campaign quality.

Tag cancellations by reason and segment involuntary churn from failed payments. Use Stripe Billing or Maxio for dunning workflows and reduce passive churn with card updater coverage.

Track upgrades by seats, add-ons, and usage-based fees to understand expansion levers. Report NRR by cohort and segment to validate the sustainability of growth.

Model LTV with churn and gross margin assumptions, then compare to CAC by source for true unit economics. Set guardrails like LTV:CAC above 3 and payback under 12 months for scaling decisions.

Combine product usage, NPS, support tickets, and billing signals in Gainsight or Vitally. Trigger success outreach and win-back flows when health dips below thresholds.

Measure referral rate, K-factor, and review velocity on G2 and Capterra. Use unique codes or referral UTMs to attribute pipeline from advocacy programs.

Include signups, activation rate, MQL to SQL, CAC, MER, pipeline created, and revenue by channel with 4-week trends. Review in a standing meeting to make allocation decisions.

Compare daily spend to plan and trigger alerts on z-score deviations for CPA, CVR, and lead quality. Use Supermetrics to BigQuery with Looker alerts or custom Slack webhooks.

Use Robyn or Recast to estimate channel elasticities with weekly spend and conversions, then apply guardrails to in-platform bidding. Refresh coefficients quarterly and after big creative shifts.

Track MQL to SQL, SQL to Opportunity, and win rate by campaign in HubSpot or Salesforce. Attribute revenue back to keywords, audiences, and content for precise scaling.

Define SQL criteria, response times, and recycling rules, then monitor SLA adherence by source. Faster follow-up often increases conversion enough to justify higher CPCs.

Implement Consent Mode v2 with a CMP, honor DSAR requests, and apply regional load rules for tags. Document data retention and ensure experiments do not bypass consent settings.