Which Web Analytics Stack Fits Your Business?
Every MarTech stack depends on accurate measurement. The difference between companies that guess and companies that know is implementation depth. Pick the stack that matches your growth stage.
Foundation
GA4 implementation, GTM setup, basic event tracking, dashboards, attribution baseline
Growth
GA4/GTM audits, attribution fixes, BigQuery export, Consent Mode V2, CRO tracking
Enterprise
Server-side GTM, first-party data routing, BigQuery pipelines, full data ownership
Six tools form the measurement layer of every stack
What changes between Foundation, Growth, and Enterprise is not which tools are used. It is how deeply each tool is configured, validated, and connected to your decisions.
GA4
Web Traffic Analysis
GTM
Tag Management
Search Console
SEO Visibility
Social Attribution
Campaign Tracking
Privacy
Consent & Compliance
Looker Studio
Dashboards & Reporting
Compare stacks at a glance
Each tier inherits everything from the one before it. The table maps what changes across GA4, GTM, BigQuery, privacy, CRO, and data control.
| Capability | Tier 1Foundation | Tier 2Growth | Tier 3Enterprise |
|---|---|---|---|
| GA4Web Traffic Analysis | Standard implementation, enhanced measurement, basic events | Full audit, custom events, audience config, GA4 360 readiness | GA4 360, advanced segments, cross-property analysis, BigQuery-linked |
| GTMTag Management | Client-side container, core tags, standard triggers | Audited container, custom variables, consent-aware tag sequencing | Server-side GTM (sGTM), first-party domain routing, Cloud Run hosting |
| Data AccuracySignal Validation | Enhanced measurement defaults, basic attribution | Attribution recovery, conversion fixes, cross-device tracking | Server-side validation, bot filtering, hit-level QA frameworks |
| BigQueryData Warehouse | Not included | Raw event export, pre-built queries, Looker Studio connector | Advanced pipelines, scheduled queries, BigQuery ML, Cloud Functions |
| PrivacyConsent & Compliance | Basic consent config, cookie notice | Consent Mode V2, CMP integration (Cookiebot/OneTrust), GDPR/CCPA | Server-side consent enforcement, consent-routed data flows, TCF 2.0 |
| CRO TrackingConversion Optimization | Not included | Conversion funnel mapping, A/B test event tracking, goal validation | Full experimentation framework, custom dimensions, revenue attribution |
| Data OwnershipWho Controls Your Data | Google-hosted (GA4 standard retention limits) | BigQuery backup of raw events, extended data retention | Full first-party pipeline, no third-party dependency, your cloud, your data |
| InvestmentSetup + Monthly Retainer | From $2,499 + from $750/month | From $6,999 + from $2,500/month | From $22,000 + from $7,500/month |
E-Commerce tracking: Enhanced e-commerce events, Merchant Center integration, and SKU-level revenue attribution are implemented within the Growth or Enterprise stack based on transaction volume and reporting requirements. E-commerce is a configuration layer added to the right stack, not a separate tier.
Not Sure Which Stack Fits Your Business?
A 30-minute consultation identifies your current analytics gaps and maps them to the right infrastructure tier.
Talk to an ExpertWhy Waftr prices are below the industry standard: Waftr uses AI to handle configuration analysis, event schema mapping, audit documentation, and reporting scaffolding at a fraction of the time a traditional agency bills for those tasks. Every output is reviewed and finalized by a certified analytics engineer. The same expertise at a lower cost per hour billed.
Add specialized components to any tier
Each add-on plugs into your existing Foundation, Growth, or Enterprise stack and is scoped to your data volume, domain count, and compliance requirements.
GA4 Audit
Full property review covering event taxonomy, conversion setup, attribution paths, and data accuracy. Includes severity-rated findings report.
GTM Audit
Full workspace review identifying redundant tags, slow scripts, broken trigger logic, and consent gaps across your measurement stack.
sGTM Migration
Server-side GTM deployment on Google Cloud Run with first-party domain routing, tag migration, and consent enforcement.
BigQuery Warehouse Build
Raw GA4 event export, scheduled queries, custom data models, and Looker Studio integration. Includes pipeline documentation.
Looker Studio Dashboard Suite
Branded dashboards connected to GA4, Search Console, BigQuery, and Google Ads. Includes calculated fields and blended data sources.
SEO/AEO Visibility Audit
SEO and AEO analytics audit. Brand citation tracking across ChatGPT, Claude, Gemini, and Perplexity. Includes schema review, entity mapping, and content recommendations.
Cookie Consent Implementation
Consent Mode V2 with CMP integration (Cookiebot or OneTrust). GDPR, CCPA, and TCF 2.0 configuration with consent-aware tag routing.
Not Sure Which Stack Fits Your Business?
A 30-minute consultation identifies your current analytics gaps and maps them to the right infrastructure tier.
Talk to an ExpertFoundation Stack: Tracking Setup
Reliable data collection starts here. No analytics decision is trustworthy without a clean foundation.
Most companies skip straight to dashboards without verifying that GA4 events fire correctly, that GTM containers follow a logical structure, or that attribution paths reflect actual user journeys. The Foundation stack solves this by building measurement infrastructure from the ground up.
- GA4 property configuration with custom event taxonomy
- GTM container setup with organized tags, triggers, and variables
- Core conversion and engagement event tracking
- Attribution baseline with GA4 default channel groupings
- Looker Studio dashboards connected to GA4 and Search Console
- Basic privacy and cookie consent configuration
Growth Stack: Tracking Accuracy
You have tracking in place. Now make it accurate enough to trust for revenue decisions.
Growth stack includes everything in Foundation, then adds audit-driven accuracy fixes. GA4 and GTM containers get reviewed line by line. Broken conversion paths get rebuilt. BigQuery export captures raw event data before GA4 sampling dilutes it. Consent Mode V2 recovers data that privacy regulations would otherwise block.
- Everything in Foundation stack
- Full GA4 property audit with severity-rated findings
- GTM container audit and consent-aware tag sequencing
- Conversion path repair and attribution recovery
- BigQuery raw event export with pre-built analysis queries
- Consent Mode V2 with CMP integration for GDPR and CCPA
- CRO event tracking and conversion funnel analysis
- AEO signal configuration for AI search visibility
Enterprise Stack: Data Infrastructure
Full data ownership. No third-party dependency. Your cloud, your pipeline, your rules.
Enterprise stack includes everything in Growth, then adds server-side infrastructure that moves data collection off the browser and into your own Google Cloud environment. Server-side GTM routes events through your first-party domain, bypassing ad blockers and reducing client-side tag load. BigQuery pipelines run scheduled queries, ML models, and cross-domain joins that GA4 alone cannot perform.
- Everything in Growth stack
- Server-side GTM on Google Cloud Run with first-party domain routing
- Advanced BigQuery pipelines with scheduled queries and Cloud Functions
- Cross-domain tracking with unified user identity resolution
- Hit-level data validation and bot filtering frameworks
- Server-side consent enforcement with consent-routed data flows
- BigQuery ML for predictive churn scoring and LTV modeling
How your analytics stack matures
MarTech maturity is not about adding more tools. It is about increasing control over the measurement layer that every other tool depends on.
Foundation
TrackingClean GA4 implementation, organized GTM container, baseline attribution, and validated dashboards your team can trust as a starting point.
Growth
AccuracyAudit-driven fixes to broken conversion paths, BigQuery export for unsampled data, and Consent Mode V2 to recover attribution from privacy-compliant users.
Enterprise
OwnershipServer-side data pipeline on your own Google Cloud infrastructure. No ad blocker interference, no sampling limits, no third-party data dependency.
Built on Google's native stack. No proprietary middleware.
AI-Assisted, Expert-Reviewed
Automation handles configuration speed. Senior engineers handle the logic that tools miss: edge-case tag sequencing, consent flow dependencies, and cross-domain identity stitching. Faster delivery without cutting corners on accuracy.
Faster Than Agency Timelines
Foundation deploys in 2 to 3 weeks. Growth in 4 to 6 weeks. Enterprise in 8 to 12 weeks. Delivery is faster because Waftr specializes in Google-native infrastructure, not full-service marketing retainers.
Deeper Accuracy Than Tools Alone
GA4 default settings miss conversions, misattribute channels, and lose data to consent gaps. Waftr stacks fix the infrastructure layer that tools configure but do not validate.
Cost-Efficient Infrastructure
Every stack uses Google's free and paid tiers appropriately. You pay for what you need. No vendor lock-in, no proprietary platforms sitting between you and your data.
Frequently Asked Questions About Analytics Stacks
Waftr builds exclusively on Google's native stack — GA4, GTM, BigQuery, and server-side infrastructure — with no proprietary middleware between your data and the platform. AI handles configuration analysis and audit documentation; certified engineers handle the logic, sequencing, and validation. Engagements are scoped and priced below the sum of individual services.
Start with the problem your data has. If GA4 events are missing or unvalidated, Foundation applies. If conversion numbers contradict your CRM or consent mode is stripping attribution data, Growth applies. If you need server-side infrastructure, BigQuery pipelines, or full data sovereignty, Enterprise applies.
Growth fixes data accuracy by auditing GA4 and GTM, repairing attribution, adding BigQuery export, and deploying Consent Mode V2. Enterprise moves data collection server-side, routing events through your first-party domain via server-side GTM, removing ad blocker exposure, and building BigQuery pipelines your team controls entirely.
Foundation deploys in 2 to 3 weeks. Growth takes 4 to 6 weeks depending on audit findings and BigQuery configuration. Enterprise timelines range from 8 to 12 weeks based on sGTM architecture, data residency requirements, and cross-domain tracking complexity.
Yes. BigQuery raw event export is a core component of the Growth stack because it preserves unsampled GA4 data before retention limits apply. It also enables analysis GA4's interface cannot perform: custom attribution models, cohort analysis beyond default windows, and cross-channel joins.
Foundation includes basic cookie consent configuration. Growth adds Consent Mode V2 with CMP integration for GDPR and CCPA, plus behavioral modeling to recover attribution data from users who decline. Enterprise adds server-side consent enforcement with consent-routed data flows and TCF 2.0 compliance.
Build Your Web Analytics Stack with Waftr
Tell us where your tracking stands today. We will map the gaps and recommend the right stack to close them.
Talk to an Expert