SEO & Digital Growth

Analytics & Reporting

Decisions are only as good as the data behind them. We audit and set up GA4 and conversion tracking, build dashboards your team will use, and explain what the numbers mean and what to do next.

Discuss your project Discuss your analytics

Tracking you can trust, reports you can act on

Many analytics setups double-count conversions, miss key events or break quietly after a site release, and reports turn into screenshots nobody reads. We audit and implement GA4, Google Tag Manager and conversion tracking, connect ad, email and CRM data, and build Looker Studio dashboards around the decisions you make. It suits marketing, product and leadership teams who need reliable numbers and a clear explanation of what changed and why.

AI-assisted, analyst-led reporting

How AI assists

Scans event and conversion data for anomalies such as sudden drops, duplicate events or missing tags.
Drafts report summaries that explain what changed, for an analyst to verify against the data.
Helps draft tracking plans, event naming and SQL queries for GA4 exports to BigQuery.
Compares segments and user journeys to suggest questions worth investigating.

What our experts own

Analysts agree KPIs and the tracking plan with you, based on the decisions the data must support.
Analysts check every number and insight against source data before a report reaches you.
Engineers implement and test tags, consent settings and data connections.
Your team decides what data is collected and who can access it.

Who asks us about analytics

Your ad platforms, GA4 and CRM each report a different number of leads, so meetings argue about which figure is right instead of deciding what to change.

Heads of marketing who must defend budgets with numbers finance accepts
Product teams that need feature usage and funnel data, not just page views
Teams whose GA4 property was migrated in a hurry and never checked

From business question to dashboard

Illustrative measurement plan; the questions, events and tools come from your business.

Business questions
Each team lists the decisions it makes, such as where to spend or what to fix.
Events & parameters
Each question maps to named events and parameters, recorded in a shared tracking plan.
Checkpoint: You approve what data is collected
Tagging
Tags built in Tag Manager or code, with consent settings applied before anything fires.
Validation
Events checked in DebugView in staging, then compared with real orders or leads after release.
Checkpoint: Analyst signs off before reporting starts
Dashboards
Looker Studio views per team, each metric defined in plain words beside the chart.
Review
A monthly check on whether each question is answered; unused events and charts are removed.

When something fails: If an event fails validation, it stays out of dashboards until fixed, and the report notes the gap.

What you receive

Analytics and reporting services

Tracking audit
A review of GA4, Tag Manager, ad platform conversions and consent settings, with gaps, duplicates and errors ranked by impact.
GA4 & Tag Manager setup
A documented tracking plan, with events, key events and e-commerce tracking implemented and tested before and after release.
Conversion tracking
Form submissions, sign-ups, purchases and calls tracked consistently across GA4, Google Ads and Meta, respecting consent choices.
Looker Studio dashboards
Dashboards built around your KPIs and each team's questions, with metric definitions so everyone reads them the same way.
Attribution & funnel analysis
Channel attribution and funnel drop-off analysis in plain language, including the limits of each attribution model.
Monthly reporting
An executive summary with trends, anomalies and recommended actions, checked by an analyst before it reaches you.

Typical analytics requests

Typical scenarios we scope, not client case studies.

Duplicate conversions after a redesign
After a redesign, each form submission is recorded by both a hard-coded tag and a Tag Manager event. We trace each firing in debug mode, remove the duplicate, and add the event to the release checklist.
Traffic drop after a consent banner
After a cookie banner goes live, reported traffic falls sharply. We check consent mode settings, confirm each tag respects the visitor's choice, and explain in the report which changes come from consent rather than real behavior.
An app tracked by page views only
A software team only sees page views for its app. We draft an event plan for sign-up, activation and key feature use, implement it with your developers, and export raw events to BigQuery for deeper questions.

How we set up your analytics

01
Audit & plan
Review current tracking and data quality, agree KPIs and reporting needs, and write a tracking plan.
02
Implement & test
Tags, events, consent settings and integrations built, tested in staging and verified with real data after release.
03
Build dashboards
Dashboards and report templates built around your KPIs, with a walkthrough so your team can use them confidently.
04
Review & improve
Monthly analysis, anomaly checks and recommendations, plus tracking updates as your site and campaigns change.

What analytics work doesn't cover

Running and optimizing ad campaigns belongs to Google Ads & PPC; this service checks the conversion data those campaigns rely on.
Data warehouse or BI platform builds beyond GA4 exports to BigQuery and Looker Studio are scoped as separate engineering projects.
Tags follow each visitor's consent choice; we don't use fingerprinting or collect personal data your privacy policy doesn't cover.
We need admin access to GA4, Tag Manager and your ad platforms, plus a developer contact for tags inside your code.

How analytics connects to UX, QA and releases

Evidence for UX decisions
Funnel drop-offs and on-page behavior show designers which steps to fix, and usability testing explains why people stop.
Tracking in release QA
Key events are part of release testing, so a redesign or deployment does not silently break conversion tracking.
Automated monitoring
Automated checks watch for sudden drops in events or conversions between reports and alert us to investigate.
Ongoing improvement
Monthly reviews turn findings into actions for your SEO, ads, email and product teams, then measure whether those changes worked.

FAQ

Frequently asked questions

Do we need GA4?

If you use Google Analytics, yes. Universal Analytics has been retired, and GA4 is Google's current analytics product. If you prefer a privacy-focused alternative such as Matomo or Plausible, we can discuss the trade-offs and set that up instead.

Can you track offline conversions?

Yes, where your systems allow it. We can bring CRM stages, phone calls and offline sales into Google Ads and GA4, so campaigns are judged on real outcomes and not only form fills. Accuracy depends on how consistently leads are recorded in your CRM.

How long until we see useful data?

Data starts flowing as soon as tracking is live, but trends need enough traffic and time to be reliable, especially on lower-traffic sites. We check data quality from the start and tell you when the numbers are solid enough to act on.

Do AI tools see our customer data?

Only what you approve. Most analysis uses aggregated reports rather than personal data. When deeper analysis needs raw exports, we agree the tools and data first, remove or pseudonymize personal fields where possible, and keep access in line with your privacy policy.