The marketing analytics agency that CFOs and CMOs both trust
Marketing analytics and attribution services: GA4 rebuilds, server-side tracking, multi-touch attribution, LTV modelling and executive dashboards — the measurement stack modern revenue leaders use to allocate budget without guessing.
Six layers. One source of truth.
GA4 configuration & rebuild
Clean event taxonomy, conversion modelling, cross-domain tracking and BigQuery export — set up so your data is actually trustworthy, exportable and ready for AI-driven analysis.
Server-side tracking
GTM Server-Side, Conversions API for Meta / TikTok, Enhanced Conversions for Google — recovering 15–40% of conversions lost to iOS, cookie blocking and ITP.
Multi-touch attribution
Triple Whale, Northbeam, Rockerbox or custom models showing blended ROAS, contribution margin and channel incrementality — not last-click theatre.
LTV & cohort modelling
Cohort retention, 30/60/90-day LTV, payback period and contribution-margin LTV — the metrics that prove whether growth is healthy or borrowed.
Executive dashboards
Looker Studio, Hex or Metabase dashboards built for CEOs and CMOs — one screen, real numbers, refreshed daily.
Data warehouse
BigQuery, Snowflake or Postgres with all ad, web, CRM and revenue data joined. The foundation for AI-ready reporting and any future analytics use case.
In-house vs generic agency vs Growth Anchors.
| Capability | In-house analyst | Generic agency | Growth Anchors |
|---|---|---|---|
| GA4 configuration & rebuild | Basic | Standard | Taxonomy + BigQuery + modelling |
| Server-side tracking | - | Partial | GTM SS + CAPI + Enhanced Conversions |
| Multi-touch attribution | - | Last-click only | Triple Whale / Northbeam / custom |
| LTV & cohort modelling | - | - | |
| Executive dashboards | - | Basic | Custom daily refresh |
| Data warehouse | - | - | BigQuery / Snowflake / Postgres |
| CRM integration | Manual | Basic | Bidirectional sync + deal-stage attribution |
| Ongoing optimisation | - | Quarterly | Monthly + quarterly MMM |
| Privacy compliance | - | Basic | Consent-mode + pseudonymisation + retention policies |
| Team training & SOPs | - | - |
Six stages to trustworthy numbers.
Audit & Data Discovery
We audit your current GA4, tracking integrity, attribution gaps, competitor measurement stacks and data-warehouse readiness. You receive a prioritised roadmap identifying the highest-ROI fixes in the next 90 days.
Tracking & Attribution Rebuild
GA4 event taxonomy is rebuilt, server-side containers deployed, Conversions API connected and CRM lifecycle stages mapped to web and ad data. The foundation is now clean, privacy-safe and future-proof.
Platform Implementation
Triple Whale, Northbeam, Rockerbox or a custom warehouse model is configured, tested and validated against your financial data. Multi-touch attribution goes live with channel incrementality reporting.
LTV & Cohort Modelling
Cohort tables, payback curves, churn-risk segments and contribution-margin LTV are built and validated. You can now see whether a channel drives profitable customers or just cheap acquisitions.
Dashboard & Reporting Build
Executive dashboards, marketing-team reports and board-level summaries are designed, QA'd and automated. Real numbers, refreshed daily, with drill-down from revenue to channel to creative.
Optimisation & Scale
Monthly performance reviews, quarterly attribution-model refreshes and ongoing A/B testing of tracking configurations. Every insight feeds back into media allocation — so budget moves to what actually works.
The six performance levers that drive budget confidence.
Clean event taxonomy
Every event name, parameter and trigger must be consistent, documented and mapped to business outcomes. A messy taxonomy makes attribution impossible and dashboards unreliable.
Server-side tracking coverage
The more conversion events you recover via server-side containers and Conversions API, the more data smart bidding has to optimise. Coverage above 80% is the threshold where CPA starts to fall dramatically.
Multi-touch model accuracy
Last-click over-credits bottom-funnel channels. Data-driven or custom multi-touch models distribute credit based on actual incrementality tests, not assumptions. The difference in budget allocation can be 30–50%.
Cohort granularity
Aggregated LTV hides churn spikes and channel-quality differences. Customer-level cohort tracking by acquisition source, month and segment reveals which campaigns bring profitable long-term customers.
Dashboard actionability
A dashboard that refreshes daily but nobody reads is worthless. The best reports surface decisions: which channel to cut, which creative to scale, which audience to test next.
Data warehouse freshness
Stale data leads to stale decisions. Automated ETL pipelines that refresh web, ad, CRM and revenue data every 4–24 hours give marketers the confidence to move budget in real time.
Marketing analytics by vertical.
B2B SaaS
Multi-touch attribution across product-led and sales-led funnels, with cohort retention by PLG vs SLG channel and expansion-revenue modelling.
Ecommerce & DTC
Blended ROAS by platform, product-margin attribution, replenishment-cohort tracking and influencer-incrementality testing.
Fintech
Regulatory-compliant tracking, application-funnel attribution, LTV by product line and churn-risk scoring integrated into CRM.
Healthcare
HIPAA-aware server-side tracking, patient-journey attribution, appointment-conversion modelling and referral-source analytics.
Real Estate
Lead-source attribution across portals, listings, events and referrals, with 6–18 month sales-cycle LTV and agent-performance dashboards.
Professional Services
Proposal-to-win attribution, client-lifetime-value by practice area, retainer-renewal forecasting and project-profitability reporting.
Hospitality
Booking-channel attribution, pre-arrival upsell conversion, review-request effectiveness and loyalty-programme ROI.
Education & EdTech
Enquiry-to-enrolment attribution, course-completion cohorts, student-lifetime-value and alumni-donation funnel tracking.
What lands on your
desk in 90 days.
- GA4 rebuilt to a clean event taxonomy with reliable conversion tracking
- Server-side tracking recovering 15–40% of conversions lost post-iOS
- Multi-touch attribution model showing real blended ROAS by channel
- LTV, payback and cohort retention reporting at customer-level granularity
- Executive dashboard refreshed daily — pipeline, CAC, LTV, channel ROI
- Data warehouse with web, ad, CRM and revenue data joined and queryable
- Marketing-mix modelling lite for monthly budget allocation decisions
- Documentation and SOPs so in-house teams own the stack going forward
Transparent tiers. No hidden fees.
Every tier includes GA4 monitoring, attribution reporting and dashboard support. Month-to-month after a 90-day onboarding sprint.
Foundation
Analytics-as-a-service for brands with clean GA4 and basic attribution needs.
- Monthly GA4 health & accuracy audit
- Standard attribution-platform reporting
- 1 executive dashboard (Looker Studio)
- Quarterly performance review
- Email support
Growth
Full-stack measurement for scaling brands with multi-channel complexity.
- Everything in Foundation
- Server-side tracking monitoring & optimisation
- Multi-touch attribution model management
- LTV & cohort modelling refreshed monthly
- 3 custom dashboards + board-level summaries
- Bi-weekly strategy calls
Revenue Engine
Enterprise analytics with data warehouse, MMM and dedicated strategist.
- Everything in Growth
- Data-warehouse build & ETL management
- Marketing-mix modelling (quarterly)
- AI-readiness & predictive analytics roadmap
- Dedicated analytics strategist
- Quarterly board presentations
Questions CMOs and CFOs ask first.
A marketing analytics agency designs, builds and maintains the data infrastructure that connects every marketing touchpoint to business outcomes: GA4 configuration, server-side tracking, multi-touch attribution, LTV modelling, executive dashboards and data-warehouse integration. We turn raw clicks into trustworthy budget decisions.
Three differences. First, we engineer the full stack — tracking, attribution, modelling, dashboards and warehouse — not just one tool. Second, we tie every metric to revenue, pipeline and LTV, not vanity impressions. Third, we hand over documented SOPs so your team owns the stack; most clients only need us for implementation and quarterly reviews.
Because last-click attribution in GA4 is misleading 30–70% of the time post-iOS. Without proper multi-touch attribution and contribution-margin modelling, marketing leaders make budget decisions on wrong numbers — and usually over-credit branded search and last-touch retargeting.
Server-side tracking sends conversion data directly from your server to ad platforms via Google Tag Manager Server-Side, Conversions API and Enhanced Conversions. It sidesteps iOS 17+ privacy restrictions, ad blockers and cookie consent loss — recovering 15–40% of conversions that browser pixels miss. More data means smarter bidding and lower CPA.
Triple Whale is best for Shopify DTC. Northbeam fits scaling DTC and B2C with multi-channel paid. Rockerbox suits B2B and complex enterprise. We are platform-agnostic: we audit your data, channels and team, then implement the right tool — or build a custom model in your warehouse.
No — we set up the stack, train your team and hand off documented SOPs. Most clients use us to design and implement the system, then run it themselves with quarterly check-ins. We can also run it long-term if you prefer an outsourced analytics partner.
GA4 audit and server-side rebuild: 3–4 weeks. Attribution platform implementation: 4–8 weeks. LTV/cohort modelling and exec dashboards: 4–6 weeks. Most full programmes are live and trustworthy inside 90 days.
We scope every engagement to your goals, market and content velocity, so pricing is quoted per-project. Share your goals via the contact form and we'll send a tailored proposal within 24 hours - no lock-ins, cancel any quarter.
Perfect — we integrate. CRM lifecycle data is the single most important attribution signal, especially in B2B. We sync web, ad and CRM stages into one model and build deal-stage attribution that sales and marketing can both trust.
Server-side tracking is inherently more privacy-compliant than browser pixels because it avoids third-party cookies and gives you full control over what data is sent, hashed or suppressed. We implement consent-mode modelling, data-retention policies and pseudonymisation as standard.
Blended ROAS, contribution margin by channel, CAC, LTV, payback period, cohort retention, pipeline attribution, opportunity rate, share of voice and AI-citation rate. Every metric ties back to revenue — never vanity impressions.
Analytics is the nervous system. SEO brings traffic; analytics shows which content drives pipeline. PPC brings conversions; analytics shows true ROAS after attribution. Social builds awareness; analytics shows incrementality. Without the measurement layer, every channel is flying blind.
LLM referrals often land as direct traffic because engines strip referrers. We deploy a mix of UTM-tagged citation links, server-side event logging, session-source enrichment and prompt-panel monitoring so you can see which AI engines actually drive sessions, sign-ups and revenue.
Position-based or data-driven multi-touch in GA4, backed by server-side events into your CRM. First touch, lead-creating touch and closing touch each get credit, and offline revenue is stitched back via enhanced conversions. Last-click alone will underprice organic, GEO and content every time.
If you run paid media, yes. iOS privacy, ad blockers and cookie loss now hide 20-40% of conversions from browser-only tags. Server-side (GTM SS, Stape or self-hosted) recovers that data and improves ad platform learning.
Yes. Looker Studio or GA4 explorations with three views: acquisition (channel + AI engine), pipeline (MQL/SQL/opp/closed-won by source), and unit economics (CAC, LTV, payback). One page, refreshed daily, tied to revenue.
Numbers you can trust.
Analytics and finance leaders on GA4, server-side tagging and attribution rebuilds.
GA4 was a mess and we didn't trust our numbers. Growth Anchors rebuilt tracking, server-side tagging and dashboards - now every meeting starts with the same source of truth.
The attribution model they set up gave us the confidence to reallocate £400k of spend. Blended ROAS improved 38% inside a quarter.
Finally an analytics partner who understands both the tag manager and the boardroom. Reports we can actually explain to non-marketers.
Pair this with the rest of the stack.
Growth compounds when SEO, GEO/AEO, PPC and lifecycle work together. Explore closely related services.
Feed conversion signals paid platforms actually need.
Measure organic revenue, not just rankings.
GA4, Shopify and server-side tracking that ties out.
Automate weekly reports with AI + BigQuery.
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Stop running marketing on last-click data.
Book a free 30-minute analytics audit. We'll review your GA4, attribution stack and dashboards — and quote the rebuild that gives you trustworthy numbers.