Analytics That Turn Data Into
TimeZ Marketing is San Francisco’s top-rated Google Analytics and GA4 agency — delivering expert GA4 setup, custom event tracking, GTM implementation, attribution modelling, and conversion-focused dashboards so you can make smarter decisions and drive measurable marketing ROI.
- GA4 Setup & Migration
- Google Tag Manager (GTM)
- Custom Event & Goal Tracking
- Conversion Tracking & Attribution
- Looker Studio Dashboards
- GA4 Ecommerce Tracking
- Analytics Audit & QA
- BigQuery & Advanced Reporting
Google Analytics Agency Services: Insight + Data Accuracy
Our Google Analytics agency implements, audits, and manages GA4 — building conversion tracking, custom event schemas, cross-channel attribution models, and real-time Looker Studio dashboards that transform your raw website data into actionable revenue intelligence across every marketing channel and customer touchpoint
01GA4 Property Setup and Data Stream Configuration
Setting up Google Analytics 4 properties from scratch — configuring web and app data streams, enabling enhanced measurement, setting up cross-domain tracking for multi-domain environments, configuring data retention periods, linking GA4 to Google Ads and Search Console, and establishing the foundational property configuration that ensures every subsequent tracking implementation captures accurate, complete, and legally compliant user behaviour data.
02UA to GA4 Migration and Historical Data
Managing the complete Universal Analytics to GA4 migration — recreating your critical UA goals as GA4 conversion events with equivalent tracking logic, mapping UA custom dimensions and metrics to GA4 equivalents, exporting and archiving UA historical data before the sunset deadline, and building GA4 custom dimensions and metrics that preserve the measurement continuity your reporting depends on during the transition from Universal Analytics.
03Custom Event Schema and Measurement Plan
Designing a comprehensive GA4 custom event schema and measurement plan — documenting every event name, parameter, and trigger required to track your business-critical user actions — building the structured event taxonomy that captures scroll depth, video engagement, form interactions, file downloads, outbound link clicks, search queries, e-commerce product interactions, and custom business events specific to your website’s conversion architecture and marketing measurement requirements.
04E-commerce GA4 Implementation
Implementing the full GA4 e-commerce event schema — tracking view_item_list, view_item, add_to_cart, begin_checkout, add_payment_info, purchase, and refund events with complete item-level data including product IDs, names, categories, variants, prices, and revenue — enabling the product performance analysis, shopping funnel visualisation, and revenue attribution reporting that e-commerce businesses require to optimise conversion rates and marketing investment.
05Cross-Domain and Cross-Device Tracking
Implementing cross-domain tracking for businesses operating across multiple domains — configuring GA4’s cross-domain measurement to stitch user journeys across your main site, checkout platform, booking system, and landing page domains — plus enabling Google Signals for cross-device reporting that connects logged-in user sessions across desktop, mobile, and app to provide a unified view of multi-device conversion journeys in your GA4 account.
06GA4 Audiences and User Segmentation
Building GA4 audience segments — segmenting users by behaviour, engagement depth, product interest, funnel stage, and conversion status — and publishing those audiences to Google Ads for remarketing campaigns that reach the highest-intent visitor segments with relevant ad creative at the optimal CPA, using first-party behavioural data collected in GA4 to power audience-led bidding across your entire Google advertising portfolio.
Why Partner With Our Google Analytics Agency
01Google Ads Conversion Tracking and Enhanced Conversions
Implementing and auditing Google Ads conversion tracking — configuring conversion actions for form submissions, phone calls, purchases, downloads, trial signups, and high-value micro-conversions, implementing Enhanced Conversions using first-party hashed customer data to improve measurement accuracy as third-party cookies decline, and validating conversion data accuracy through Tag Assistant before deploying any Smart Bidding strategy.
02Microsoft Advertising UET and Conversion Setup
Implementing Microsoft Advertising’s Universal Event Tracking (UET) tag across your entire website — configuring all conversion goals to mirror Google Ads setup, enabling variable revenue tracking for e-commerce transactions, and validating UET implementation through Microsoft’s tag checker — ensuring Microsoft’s Smart Bidding receives the same quality of conversion signal as Google Ads, enabling both platforms to optimise accurately toward your revenue targets.
03Meta Pixel and Conversions API Implementation
Implementing the Meta Pixel and Meta Conversions API (CAPI) — setting up server-side conversion event sending that bypasses browser-based tracking limitations, configuring event deduplication between browser pixel and CAPI events, and enabling Meta’s Advanced Matching to improve signal matching rates — restoring conversion visibility lost to iOS privacy changes and ensuring Meta’s ad delivery algorithm optimises toward genuine business outcomes.
04Offline Conversion Import and CRM Integration
Connecting offline revenue data to online ad campaigns — importing CRM deal close values, phone call outcomes, in-store visit data, and pipeline stage progressions as offline conversions into Google Ads, Microsoft Advertising, and Meta — giving automated bidding algorithms the complete revenue signal required to optimise toward your highest-value conversion outcomes rather than just online form fills that may or may not ultimately result in closed sales.
05Call Tracking and Phone Conversion Attribution
Implementing call tracking solutions — integrating CallRail or similar platforms with GA4 and ad platform conversion tracking — attributing phone calls to the specific keywords, campaigns, and channels that drove them, and importing qualified call conversions as offline conversion data into Google Ads to ensure campaigns driven primarily by phone enquiries receive accurate conversion signals for Smart Bidding optimisation.
06Conversion Tracking Audit and Deduplication
Auditing existing conversion tracking setups for common errors — duplicate conversion counting from multiple tracking methods firing simultaneously, incorrectly configured conversion windows, missing conversion value parameters, miscategorised conversion goals counting non-valuable actions, and broken conversion tracking from site changes — identifying and resolving every issue that is causing Smart Bidding to optimise toward inaccurate data and costing your campaigns measurable performance.
Conversion Tracking Benefits
01Google Tag Manager Setup and Container Configuration
Setting up and configuring GTM containers from scratch — establishing naming conventions, folder structures, variable libraries, and trigger hierarchies that create a manageable, scalable tag management environment — implementing the GA4 base configuration tag, Google Ads conversion linker, and all core platform tags through GTM to eliminate hardcoded script dependencies and provide your marketing team with a single, governed deployment pathway for all future tracking changes.
02GTM Container Audit and Cleanup
Conducting comprehensive GTM container audits — reviewing every tag for accurate firing conditions, identifying duplicate or conflicting tags sending incorrect data, finding orphaned tags from past campaigns that are no longer needed, detecting tags with missing or incorrect variables, and assessing the page speed impact of all loaded third-party scripts — delivering a prioritised clean-up plan that improves tracking accuracy and reduces page load time simultaneously.
03Custom Event Tracking via GTM
Implementing custom GA4 event tracking through Google Tag Manager — building triggers for scroll depth milestones, video play and completion events, form interaction tracking, outbound link clicks, file downloads, dynamic content interactions, AJAX-loaded form submissions, and custom business events specific to your site’s functionality — without requiring developer code changes for each tracking addition, enabling rapid measurement iteration as your marketing needs evolve.
04Server-Side GTM Implementation
Deploying server-side Google Tag Manager — moving tag execution from the user’s browser to your own server infrastructure — improving page load performance, extending first-party cookie lifespans beyond browser ITP limitations, enabling server-side event filtering before data reaches platforms, and providing a future-proof measurement architecture that maintains data collection accuracy as client-side tracking continues to be restricted by browser privacy changes.
05Third-Party Platform Tag Integration
Implementing and managing all third-party marketing platform tags through GTM — deploying Meta Pixel, LinkedIn Insight Tag, TikTok Pixel, Microsoft UET, Hotjar, Intercom, HubSpot tracking, Salesforce Pardot, and custom platform scripts through a single governed container — eliminating the developer dependency for each new platform tag and ensuring all third-party tracking scripts load asynchronously without blocking critical page rendering or degrading Core Web Vitals scores.
06GTM Governance, Documentation and Team Training
Establishing GTM governance frameworks — creating container documentation with tag inventories and change logs, setting up GTM workspace policies with pre-publish testing requirements, training marketing team members on safe tag deployment practices, and implementing preview mode QA protocols that prevent broken or incorrectly configured tags from publishing to live environments and damaging the data accuracy that your marketing measurement depends upon.
Google Tag Manager Benefits
01GA4 Data-Driven Attribution Setup
Implementing GA4’s data-driven attribution model — enabling Google’s machine learning to distribute conversion credit across all marketing touchpoints based on their actual measured contribution to conversion — moving your organisation beyond the misleading simplicity of last-click attribution to a probabilistic model that accurately reflects which channels are genuinely influencing purchase decisions at each stage of the customer journey.
02Multi-Touch Attribution Across Paid Channels
Building cross-channel multi-touch attribution models that measure the combined contribution of Google Ads, Microsoft Ads, Meta, LinkedIn, TikTok, and organic channels to total conversion revenue — comparing linear, time-decay, position-based, and data-driven models to identify which attribution approach most accurately reflects your specific customer journey length and channel interaction patterns before making budget allocation recommendations.
03Organic vs Paid Attribution Analysis
Building attribution models that accurately represent the contribution of organic search, direct, email, and referral channels alongside paid advertising — quantifying the pipeline and revenue that organic SEO generates compared to equivalent paid search investment, presenting the true blended CAC and channel efficiency comparison that CFOs and marketing directors need to make confident annual budget allocation decisions across organic and paid channels.
04Customer Journey Path Analysis
Using GA4’s path exploration and conversion path reports to map the most common customer journey sequences — identifying the typical number of touchpoints, sessions, and days between first visit and conversion for different audience segments and product categories — revealing the upper-funnel channels that initiate purchase journeys and the assist channels that influence consideration before the final conversion session that last-click attribution incorrectly credits with all value.
05Incrementality Testing and Media Mix Modelling
Designing and analysing incrementality tests — geo holdout experiments, channel spend ramp tests, and platform-provided conversion lift studies — to validate whether attributed conversions are genuinely incremental or would have occurred without the marketing investment, providing the evidence-based channel effectiveness data that supplements algorithmic attribution models and builds stakeholder confidence in attribution-driven budget allocation recommendations.
06Attribution-Informed Budget Optimisation Reports
Producing regular attribution-informed budget optimisation reports — comparing current spend allocation against channel contribution in the chosen attribution model, identifying the channels that are overweight relative to their genuine conversion contribution, quantifying the revenue improvement available from reallocation, and presenting clear, financially credible budget change recommendations backed by your own attribution data rather than platform-reported metrics that favour their own contribution.
Attribution Modelling Benefits
01Custom Looker Studio Dashboard Build
Building custom Looker Studio dashboards tailored to your specific business, KPIs, and stakeholder reporting requirements — connecting GA4, Google Ads, Microsoft Advertising, Meta Ads, LinkedIn Ads, Google Search Console, and CRM data through pre-built and custom data connectors to create always-current marketing performance dashboards that eliminate the manual monthly reporting cycle entirely.
02Executive Marketing Performance Dashboards
Building board and C-suite level marketing dashboards that translate raw analytics data into business language — presenting total marketing-attributed revenue, channel ROAS comparison, blended CAC trends, organic versus paid pipeline contribution, and month-over-month growth metrics — replacing verbose platform exports with a concise, visually clear executive view that communicates marketing performance impact in the financially credible terms senior stakeholders require for investment decisions.
03Channel-Level Performance Reporting
Building channel-specific performance dashboards for each marketing platform — paid search ROAS by campaign and keyword, organic traffic and conversion trends by landing page, social ad performance by creative and audience, email engagement and revenue attribution, and SEO keyword ranking and traffic progression — giving each marketing team owner the specific performance data they need to make optimisation decisions without waiting for monthly reporting cycles.
04E-commerce Revenue and Product Performance Dashboards
Building e-commerce analytics dashboards from GA4 e-commerce event data — visualising revenue by product, category, and collection, shopping funnel drop-off analysis, add-to-cart and checkout abandonment rates, average order value trends, and product affinity analysis — providing e-commerce teams with the product performance intelligence required to make merchandising, pricing, and marketing investment decisions backed by actual customer behaviour data.
05Automated Weekly and Monthly Reporting
Setting up automated scheduled reporting — configuring Looker Studio scheduled email delivery of weekly and monthly performance summaries to stakeholder distribution lists, building GA4 custom alert notifications for significant metric changes, and establishing performance review cadences that ensure every marketing decision maker receives current, accurate performance data on a predictable schedule without any manual report preparation time.
06BigQuery and Advanced Analytics Integration
Connecting GA4 to Google BigQuery for advanced analytics requirements — enabling SQL-based custom analysis beyond GA4’s native interface, building user-level cohort retention tables, creating predictive LTV models from raw event data, and powering Looker Studio dashboards from BigQuery as the analytical source for organisations that require more sophisticated analytics than standard GA4 reporting supports out of the box.
Dashboard & Reporting Benefits
01GA4 Data Quality & Tracking Accuracy Audit
Conducting a comprehensive GA4 data quality audit — checking for missing or incorrectly configured conversion events, duplicate event firing, broken cross-domain tracking, self-referral sessions distorting channel attribution, sampling issues in GA4 exploration reports, incorrectly excluded internal traffic, and inconsistent event naming conventions — delivering a prioritised list of every tracking issue affecting the accuracy of your analytics data and marketing performance measurement.
02GA4 Funnel Exploration & Drop-Off Analysis
Using GA4’s funnel exploration reports to map your complete conversion funnel — visualising step-by-step completion rates from landing page visit through lead capture, checkout initiation, payment, and purchase confirmation — identifying the precise funnel stages where the highest percentage of users abandon, quantifying the revenue impact of each drop-off point, and prioritising the CRO experiments most likely to recover lost conversions based on traffic volume and current abandonment rate.
03Heatmap and Session Recording Analysis
Analysing user behaviour data from Hotjar or Microsoft Clarity alongside GA4 quantitative data — using click heatmaps to identify which page elements attract attention and which are being ignored, scroll depth maps to determine how far users read before abandoning, and session recordings to watch real users encounter friction, confusion, and trust barriers — generating qualitative CRO hypotheses grounded in actual observed user behaviour.
04A/B Testing Using Analytics Data
Running analytics-informed A/B testing programmes — using GA4 funnel data to prioritise the highest-impact pages and conversion steps for testing, designing experiments based on statistically sound minimum sample size calculations, implementing tests through VWO or Google Optimize alternatives, and analysing results using GA4 and testing platform data to identify the specific variants that generate genuine, statistically significant conversion rate improvements rather than false positives from under-powered experiments.
05GA4 Audience Insights and Segmentation Analysis
Analysing GA4 audience data to understand which user segments, acquisition sources, devices, locations, and behavioural cohorts deliver the highest conversion rates and revenue per visit — identifying the traffic segments that are being underserved by current landing page experiences, and using those insights to inform both CRO prioritisation and paid media audience targeting to improve ROAS across all campaign types simultaneously.
06Monthly Analytics and Performance Reviews
Delivering structured monthly analytics reviews — presenting GA4 performance trends, conversion funnel health, channel contribution analysis, experiment results and learnings, audience behaviour insights, and a rolling list of data-backed CRO and tracking improvement recommendations — ensuring your marketing decisions are continuously grounded in accurate, current analytics intelligence rather than intuition, platform reporting, or outdated historical benchmarks from previous periods.