Measurement Planning
Start with the decisions, actions, and business definitions that the analytics system needs to support.
- KPI and conversion definitions
- Event and parameter specification
- Source, owner, and retention notes
Analytics & Tracking
Measure the business, not just the browser.
F2 plans and implements GA4, Google Tag Manager, data layers, conversion tracking, dashboards, and the review cadence around them. The goal is evidence your team can use to improve Google Ads, websites, and operating decisions. Uncertainty and known gaps are documented.
Measurement starts with a question
A tag can fire perfectly and still answer the wrong question.
Technical setup matters, but it sits in the middle of the work. A durable measurement system begins with a business question and ends with a documented decision.
Every layer needs a definition, an owner, and a way to test it. That is what turns analytics from background plumbing into usable infrastructure.
From question to decision
The full measurement path
Business question
Name the decision the data needs to improve.
Event contract
Define the action, trigger, fields, and owner.
Data layer
Expose structured state from the site or product.
GTM dispatch
Apply tag, trigger, destination, and consent rules.
GA4 + Ads
Receive the event in the tools used for analysis.
Decision loop
Review, decide, annotate, and improve.
The decision loop is part of the implementation
Measurement capabilities
Architecture, implementation, and documentation your team can use.
F2 can work across the browser, website code, tag manager, analytics property, advertising account, and reporting layer. The scope follows the question and the systems already in place.
GA4 Architecture
Configure GA4 around useful events and audiences instead of accepting every default as a business requirement.
- Property and stream configuration
- Custom events and dimensions
- Cross-domain review where needed
Tag Manager Governance
Build a Google Tag Manager container that another technical person can inspect, test, and maintain.
- Tags, triggers, and variables
- Naming and folder conventions
- Consent-aware firing rules
Data Layer Engineering
Expose structured website and commerce state so tracking does not depend on brittle selectors or accidental page behavior.
- Event payload design
- Lead and commerce context
- Developer-ready documentation
Conversion Systems
Measure the actions that represent business value, then map them carefully to GA4 and Google Ads.
- Forms, calls, and bookings
- Purchases and revenue fields
- Primary and supporting actions
Validation & Reconciliation
Test the full path from the website action to each destination, then compare records with the source system.
- Browser and GTM debugging
- Duplicate and failure-state tests
- Known-gap documentation
Conversion evidence
Track the completed action, not the hopeful click.
A button click is often useful for diagnosis. It is not automatically a lead, a call, or a sale. The implementation should preserve that distinction.
Calls
- Track
- Separate a click-to-call action from a connected or qualified call when a call-tracking system is available.
- Validate
- Test phone-number swaps, mobile links, routing, duration rules, and the handoff into Google Ads or the CRM.
Forms & Bookings
- Track
- Record a confirmed success state, form or booking type, page context, and useful lead attributes when they are available.
- Validate
- Test success, validation error, spam, duplicate submission, embedded form, and thank-you page behavior.
Purchases
- Track
- Send transaction ID, value, currency, items, and other agreed commerce fields from a dependable source.
- Validate
- Test checkout completion, duplicate prevention, currency, taxes, discounts, and reconciliation with the commerce platform.
Google Ads Actions
- Track
- Map meaningful outcomes to Google Ads conversion actions while keeping diagnostic or micro-actions separate.
- Validate
- Verify attribution parameters, landing-page context, conversion settings, imports, and the final action in the destination.
Attribution limits
Attribution is a model, not a receipt.
GA4, Google Ads, a call platform, and a CRM can report different answers without any one of them being completely broken. They observe different signals and apply different rules.
F2 documents those differences, looks for implementation errors, and sets practical decision rules. We do not turn incomplete signals into false certainty.
Evidence we can strengthen
- Owned website and product events
- Campaign and landing-page context
- Form, call, booking, and purchase records
- Qualified or offline outcomes when connected
- Definitions and comparison windows
Limits we keep visible
- Consent choices and blocked storage
- Cross-device and cross-browser journeys
- Offline activity that is not connected
- Platform-specific windows and models
- Identity loss, deletion, and ad blockers
Validation
Validate the full path before relying on the reports.
A screenshot of an event in a report is not enough. We test how it was created, what it carried, where it arrived, and whether the source system tells a compatible story.
Write the event contract
Document the trigger, event name, required fields, source, destination, and what should never count.
Exercise every state
Test successful, failed, cancelled, repeated, refreshed, and alternate-path behavior where each state applies.
Inspect the dispatch
Review the data layer, Google Tag Manager preview, browser requests, consent state, and tag sequence.
Confirm each destination
Verify the event and its fields in GA4 and the relevant advertising or reporting destination.
Reconcile and document
Compare early records with forms, calls, bookings, or purchases, then record expected gaps and maintenance ownership.
Example acceptance checks
Form success
- Expected record
- One event after confirmed acceptance
- Failure prevented
- Button clicks counted as leads
Qualified call
- Expected record
- Outcome from the connected call source
- Failure prevented
- Phone-link taps counted as conversations
Purchase
- Expected record
- Unique transaction with value and currency
- Failure prevented
- Reloads creating duplicate revenue
Reporting
Dashboards should shorten the meeting, not replace it.
A useful dashboard has fewer unexplained metrics and more shared definitions. It makes a decision easier to prepare, challenge, and record.
Metric definitions
Definitions before decoration
Qualified lead
Defined- Definition
- Agreed business criteria
- Source
- CRM + analytics
Tracked purchase
Reconciled- Definition
- Completed order, deduplicated
- Source
- Commerce + GA4
Ad conversion
Reviewed- Definition
- Primary action for bidding
- Source
- Google Ads
A working decision cadence
Weekly
Instrument check
Scan for broken events, sudden gaps, duplicates, form issues, call-routing changes, and spend that is moving without a trusted outcome.
Monthly
Decision review
Read trends by channel, campaign, landing page, device, and conversion type. Record what changed and which action follows.
Quarterly
Measurement reset
Revisit definitions, business priorities, attribution assumptions, dashboard usefulness, and the next round of implementation work.
The exact rhythm should follow traffic, advertising spend, release frequency, and how quickly the team can act.
Ways to engage
Repair the foundation, then keep the measurement current.
The work can end with a documented implementation or continue as measurement consulting connected to Google Ads, website, and product decisions.
Audit & Repair Plan
For an existing analytics stack with unclear numbers, missing events, or disagreement between platforms.
Typical scope
- Configuration and event inventory
- Conversion-path testing
- Prioritized findings and repair plan
Implementation
For a new site, redesigned conversion path, platform migration, or approved measurement plan that needs hands-on delivery.
Typical scope
- GA4, GTM, and data layer work
- Conversion and destination setup
- Validation, documentation, and handoff
Ongoing Measurement Consulting
For teams using analytics to guide Google Ads, landing pages, products, or recurring growth decisions.
Typical scope
- Data-quality monitoring
- Dashboard and performance review
- Decision log and planned iteration
Analytics & tracking FAQ
Questions to answer before implementation.
Straight answers about setup, reporting, attribution, and ongoing involvement.
Do you work with an existing GA4 and GTM setup?
Yes. We can audit the current property, container, data layer, events, conversions, and reporting before deciding what should be repaired or replaced. Useful history and working configuration can stay in place.
Can you support Google Ads conversion measurement?
Yes. We can define meaningful conversion actions, connect website events to Google Ads and GA4, validate the path, and help interpret the data alongside search terms, landing pages, and lead quality. Campaign management is also available as a connected service.
Can analytics show exactly which channel caused every sale?
No. Attribution is a model built from incomplete signals. Consent choices, multiple devices, cookie loss, offline activity, platform boundaries, and different attribution settings create gaps and disagreement. We document those limits and establish practical rules for decision-making.
Can you track phone calls, forms, bookings, and purchases?
Usually, yes, but the available detail depends on the website, call platform, booking tool, commerce system, consent setup, and access. We distinguish lightweight browser interactions from confirmed outcomes and state any remaining gaps.
Do you build dashboards?
Yes. We can build or improve dashboards in Looker Studio or an appropriate existing reporting tool. Each important metric should have a definition, source, comparison window, and owner so the dashboard supports a real review process.
Is this a one-time setup or an ongoing service?
Either. F2 can complete an audit or implementation, then hand over documentation. We can also stay involved to monitor data quality, review performance, support Google Ads and website decisions, and update measurement as the business changes.
Start with the current setup
Build a measurement system your team can verify.
F2 can audit what exists, repair the implementation, or stay involved as Google Ads, websites, products, and business priorities change.