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Analytics & Optimization

Analytics & Reporting

GA4, GTM, and custom Looker Studio dashboards with transparent weekly insights.

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Overview

Marketing optimization cannot outrun broken measurement. We set up and maintain analytics infrastructure — GA4, Google Tag Manager, server-side tagging where needed, Looker Studio dashboards — so every marketing dollar spent can actually be evaluated. The goal is not more dashboards; most businesses already have too many. The goal is fewer, cleaner ones, tied to decisions actually being made.

What's included

The work, itemized

Every engagement ships with the same operational stack — you see exactly what we will do.

  • GA4 property setup, configuration, and custom-event architecture
  • Google Tag Manager container build with version control discipline
  • Server-side GTM setup for first-party tracking resilience
  • Enhanced Conversions setup for Google Ads attribution
  • Offline conversion import from CRM (Salesforce, HubSpot, Pipedrive)
  • Consent Mode v2 implementation (CCPA + GDPR compliance)
  • Looker Studio dashboards tied to actual business questions
  • Cross-domain and subdomain tracking
  • Ecommerce event tracking (purchase, add to cart, view item, etc.)
  • Attribution modeling review (data-driven vs position-based vs last-click)

20-40%

Typical attribution error we find in pre-engagement audits

2-3

Dashboards — tied to decisions, not catalog of metrics

Consent v2

Privacy-compliant measurement built in from day one

Why it matters

Outcomes this unlocks

Honest numbers

Most SMB accounts we audit have 20-40% attribution error from broken pixels, double-counted events, or misconfigured goals. Cleaning that up changes what marketing decisions look like overnight.

Privacy-regulation readiness

Consent Mode v2 and server-side tagging give compliance resilience without destroying measurement quality. CCPA, CPRA, and state laws keep expanding — readiness is not optional.

Decisions, not dashboards

A good dashboard answers one question and points at one decision. We build dashboards around the decisions you actually make weekly — not catalog every metric Google captures.

Cross-channel attribution

GA4 data-driven attribution plus UTM discipline lets you see which channels actually drive incremental revenue — not just which one got the last-click credit.

How it runs

A repeatable, written-down process

No mystery, no bespoke agency spin. The same structure on every engagement.

  1. Week 1 — Tracking audit

    Every tag, every event, every conversion — tested and mapped. Most accounts have 2-5 broken or duplicate events we find in the first audit pass.

  2. Week 2 — Infrastructure build

    GA4 reconfigured, GTM cleaned, server-side endpoint stood up where budget allows. Consent Mode v2 wired through all tags with default-denied state.

  3. Week 3 — Dashboard design

    2-3 Looker Studio dashboards built around actual decisions: weekly operations, monthly strategy, executive overview. Every chart tied to a question being asked.

  4. Month 2+ — Validation and enrichment

    Offline conversion imports wired from CRM. Enhanced Conversions live for Google Ads. Data-quality alerts active.

  5. Ongoing — Monthly measurement review

    Monthly check: tags still firing, conversions still counting, dashboards still answering the right question. Changes logged as platform updates break things.

Why most marketing dashboards get ignored

Almost every SMB has a Looker Studio dashboard someone built in the first month of an engagement and nobody has opened since. The reason is almost always the same: the dashboard answers no specific question. It catalogs metrics — sessions, users, bounce rate, conversion rate, top pages — without tying any of them to a decision being made this week. A useful dashboard has at most five charts, each one anchored to a recurring question ("Are we on pace for this month's lead target?", "Which channels drove the most closed-deal revenue in the last 30 days?", "Where are the landing pages with the worst conversion-rate change?"). Everything else is noise. We prefer three good dashboards a client opens weekly over twelve comprehensive ones they never open.

The coming measurement gap and what to do about it

Every browser and operating system is tightening tracking. Safari ITP, Firefox Enhanced Tracking Protection, Chrome Privacy Sandbox, iOS Private Relay, ad-blocker adoption — each chips away at browser-side analytics accuracy. By 2027 most credible estimates put client-side tracking loss at 30-50% of real sessions. The businesses that stay ahead of this curve are already investing in server-side tagging, first-party data capture (CRM-based attribution rather than cookie-based), Consent Mode v2 with modeling, and direct platform integrations (Enhanced Conversions for Google, CAPI for Meta). These are not expensive projects, but they take 30-60 days to execute properly and require decisions from leadership about what data the business is willing to own. Delaying makes every future marketing decision a little more based on vibes and a little less based on numbers.

Where it fits

Industries this works for

These are common fits, not a complete list — if your industry is not here, start with a free audit and we will tell you honestly whether it maps.

Lead-gen services

Form submission plus phone-call tracking plus offline conversion import from CRM. The goal is turning a lead into a closed-deal attribution chain.

E-commerce

Enhanced Ecommerce tracking, ROAS measurement across channels, abandoned-cart attribution, post-purchase upsell flow measurement.

Subscription / SaaS

Multi-touch attribution across 30-90 day sales cycles. CRM integration for MQL-to-customer chains. Churn and retention dashboards.

Multi-location / franchise

Location-level segmentation in GA4. Corporate dashboards aggregating across locations plus per-location operational dashboards.

FAQ

Common questions about Analytics & Reporting

Anything unresolved goes into the free audit — we will answer every question in writing.

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