Data, Analytics, and Conversion Stack

Install GA4 via GTM Server-Side, enable Enhanced Measurement, configure recommended events, set custom dimensions, link BigQuery, and ship Looker Studio dashboards.

• Install GA4 via GTM Server-Side for privacy compliance and first-party tracking
• Enable Enhanced Measurement for views, scrolls, outbound clicks, search, video, and downloads
• Configure all recommended events including sign_up, login, generate_lead, and purchase
• Set up custom dimensions for content cluster, journey stage, segment, and author
• Configure cross-domain tracking for all owned properties
• Link GA4 to Search Console, Google Ads, and BigQuery for unified analytics
• Enable BigQuery export for unsampled data and SQL-based custom analysis
• Set up Looker Studio dashboards mapped to specific stakeholder roles

Install GTM container, add noscript fallback, use Server-Side GTM, organize tags with naming conventions, and document variables, triggers, and tags.

• Install the GTM container in head high after critical CSS
• Add a noscript fallback in body for users with JS disabled
• Use Server-Side GTM for privacy-compliant tracking and reduced page load impact
• Organize tags into folders for Analytics, Marketing, Conversion, SEO, and Custom
• Use workspace versioning with descriptive notes per release
• Implement preview mode testing protocol before any production publish
• Build naming convention with type, vendor, and event or trigger
• Document all custom variables, triggers, and tags in shared workspace

Verify all properties, submit sitemaps, monitor Performance and Indexing reports, set alerts, and pull GSC API data into BigQuery for long-range analysis.

• Verify all properties including domain plus URL-prefix variants
• Submit sitemap, image-sitemap, and video-sitemap separately
• Monitor Performance report weekly for queries, pages, countries, and devices
• Track Indexing report and fix every Discovered or Crawled not indexed issue
• Monitor Core Web Vitals report and Page Experience report monthly
• Set up email alerts for manual actions, security issues, and traffic changes
• Build internal /admin/gsc-insights/ dashboard aggregating GSC data
• Use GSC API to pull data into BigQuery beyond the 16-month limit

Build a standardized dataLayer schema with consistent event naming, push server-side where possible, validate via GTM Preview, and avoid PII leaks.

• Build standardized dataLayer schema before adding tracking
• Push events to dataLayer with consistent naming for action, category, and label
• Include user properties for segment, lifetime value, and signup date
• Use ecommerce dataLayer schema for all transaction-related events
• Push events server-side when possible to bypass ad blockers
• Document dataLayer specification in shared docs for engineering
• Validate dataLayer events with GTM Preview mode and Tag Assistant
• Avoid pushing PII directly and hash if needed for matching

Implement Consent Mode v2 with proper denied defaults, use Privacy Sandbox APIs, build cookieless tracking via first-party IDs, and honor Global Privacy Control.

• Implement Google Consent Mode v2 with denied and granted states for all storage types
• Use Privacy Sandbox APIs including Topics, Protected Audiences, and Attribution Reporting
• Build cookieless tracking via first-party user IDs and server-side measurement
• Maintain consent log for every interaction with the consent banner
• Provide Do Not Sell My Information and Your Privacy Choices links
• Honor Global Privacy Control signal automatically
• Use IAB TCF v2.2 framework for European traffic where applicable
• Audit data collection practices quarterly per ePrivacy and GDPR

Capture first-party data via accounts, quizzes, and forms, store in your own database or CDP, and pass to ad platforms via Conversions APIs and CAPI.

• Build first-party data capture via logged-in accounts, quizzes, and lead forms
• Store all collected data in your own database or CDP
• Use server-side events for all critical tracking to bypass ad blockers
• Hash PII before sending to ad platforms for Conversions API matching
• Maintain data hygiene with deduplication, validation, and enrichment
• Build progressive profiling rather than asking everything upfront
• Pass first-party data to ad platforms via CAPI and Enhanced Conversions
• Document data retention policy per GDPR and CCPA

Unify customer data across website, CRM, email, and support, key on internal user ID, build segments and dynamic content blocks, and track data lineage quarterly.

• Unify customer data across website, CRM, email tool, support, and billing
• Build a master customer profile keyed on internal user ID rather than email
• Create user segments for personalization including new vs returning and intent levels
• Display dynamic content blocks based on segment and behavioral signals
• Use reverse ETL tools to push warehouse data into operational tools
• Build a single customer view dashboard for sales, support, and marketing
• Maintain customer data lineage documenting where every data point originates
• Audit data freshness and completeness quarterly

Integrate Segment, mParticle, Tealium, or RudderStack, send key events, build audience segments, configure consent forwarding, and activate across destinations.

• Integrate CDP via GTM Server-Side or direct API
• Send all key events to CDP including page view, scroll, form submit, and purchase
• Build audience segments in CDP for activation across ad platforms
• Use CDP for identity resolution to match anonymous to known users
• Configure consent forwarding so consent state flows to all destinations
• Build computed traits like LTV, engagement score, and churn risk
• Activate audiences across ad platforms, email tools, and on-site personalization
• Monitor CDP data quality metrics including event volume and identity match rate

Move beyond last-click to data-driven attribution, build multi-touch and Markov models in BigQuery, reconcile platform-reported numbers, and run incrementality tests.

• Move beyond last-click attribution and implement data-driven attribution in GA4
• Build multi-touch attribution accounting for assisted conversions
• Use BigQuery and SQL for advanced models like Markov chains and Shapley values
• Track full customer journey from first touch through retention
• Implement consistent UTM standards across all marketing channels
• Build an attribution dashboard showing channel contribution per stage
• Reconcile platform-reported conversions against your attribution model
• Use incrementality testing for high-spend channels

Place clear CTAs above the fold, reduce form friction, add trust signals, run quarterly CRO audits on top 20 pages, and beat industry benchmark by 20-plus percent.

• Place clear above-the-fold CTAs with strong contrast and benefit-focused copy
• Use scarcity, social proof, and urgency authentically without fake countdowns
• Implement sticky CTAs that follow users through long-form content
• Reduce form friction with minimum viable fields, smart defaults, and autocomplete
• Add trust signals near every conversion point
• Build conversion funnel reports identifying drop-off points
• Run quarterly CRO audits on top 20 conversion-critical pages
• Target conversion rate above industry benchmark by 20-plus percent

Run A/B tests via VWO, AB Tasty, Convert, or GrowthBook, calculate sample size, reach significance before declaring winners, and document hypotheses in a test log.

• Set up A/B testing via VWO, AB Tasty, Convert, or GrowthBook
• Test one variable at a time because multivariate needs 10x sample size
• Run tests for minimum two to four weeks to capture full weekly cycles
• Calculate required sample size before launching
• Reach statistical significance before declaring winners
• Test high-impact areas first like hero, pricing, and primary CTA
• Document every test in a shared Test Hypothesis Log
• Avoid HiPPO and let data drive decisions

Install Microsoft Clarity, Hotjar, or Contentsquare, review session recordings monthly, identify rage and dead clicks, and document monthly behavior insights.

• Install Microsoft Clarity, Hotjar, or Contentsquare on conversion-critical pages
• Review session recordings monthly for top 20 traffic pages
• Identify rage clicks and dead clicks
• Track scroll depth per page to surface content gaps
• Use click maps to validate high-priority element engagement
• Watch for U-turn behavior of partial scroll then exit
• Cross-reference heatmap insights with GA4 funnel reports
• Build a behavior insights doc updated monthly

Trigger exit-intent popups only on conversion pages with downgraded offers, cap frequency at once per session and once per 7 days, and respect dismissal.

• Trigger exit-intent popups only on conversion-critical pages
• Detect exit intent via mouse-to-top on desktop or scroll-up speed on mobile
• Offer downgraded version of primary offer like a free guide
• Cap popup frequency at once per session and once per seven days per user
• Respect dismissal so closing the popup means no re-show this session
• Add easy close with X button and ESC key plus clear value prop
• A/B test popup copy, offer, timing, and design continuously
• Track popup impression-to-conversion rate as separate funnel

Reduce time-to-conversion via one-click social login, progress indicators, pre-filled fields, and post-conversion next-action pages with shorter funnels.

• Reduce time-to-conversion by minimizing friction at every funnel step
• Implement one-click signup with social login from Google, Apple, or Microsoft
• Use progress indicators on multi-step forms
• Pre-fill known data via URL parameters and stored cookies
• Build thank you pages that drive next action immediately
• Track time-from-landing-to-conversion as KPI
• Eliminate unnecessary steps because each click drops conversion
• A/B test single-step vs multi-step forms

Place lead magnets on every blog post, use content upgrades, build a /resources/ library, ship downloadable schema, and quarterly-refresh lead magnets.

• Place lead magnets prominently on every blog post
• Use content upgrades tailored to the post's topic
• Add inline lead capture every 1,500 words on long-form content
• Build a /resources/ library page organized by topic
• Use schema for downloadable assets like DigitalDocument and CreativeWork
• Track download-to-lead conversion separately from view-to-download
• Update lead magnets quarterly because outdated guides hurt brand
• Test gated vs ungated because ungated sometimes builds more authority

Build multi-step funnels with progress indicators, save partial data on transitions, use micro-commitments, and remediate the worst-performing step monthly.

• Build multi-step funnels with progress indicators
• Reduce form fields per step to minimum viable
• Add trust signals on every funnel step
• Use micro-commitments where small yes answers compound
• Save partial form data on step transitions
• Build progressive profiling on subsequent visits
• Use conditional logic to show fields only when relevant
• Track per-step drop-off and remediate worst-performing step monthly

Add qualifying questions, score leads via CDP/CRM rules using BANT or CHAMP, route hot leads in 5 minutes, disqualify gracefully, and track quality vs volume.

• Add qualifying questions including budget, timeline, role, and company size
• Score leads automatically via CDP or CRM rules combining demo, behavior, and intent
• Use BANT or CHAMP frameworks
• Route high-quality leads to sales via webhook within five minutes
• Use progressive profiling rather than first-visit qualification
• Disqualify clearly unfit leads with helpful resources
• Track lead quality per source separately from volume
• Build a lead quality dashboard separate from volume

Map journey stages, implement dynamic content per stage, use behavioral triggers, orchestrate via Customer.io, and track journey velocity for shortening.

• Map full customer journey stages from awareness to advocacy
• Implement dynamic content per journey stage
• Use behavioral triggers like viewed pricing triggers consultation CTA
• Track full-funnel attribution in GA4 and BigQuery
• Build journey orchestration via Customer.io, Iterable, Braze, or HubSpot
• Map content to journey stages so every piece belongs to a stage
• Identify stage transition friction points
• Track journey velocity and optimize for shortening it