Turn marketing data into board-ready confidence
Most marketing teams are drowning in reports and starving for answers. We build a measurement operating model that reconciles every channel to revenue, replaces opinion with evidence, and gives leadership one place to answer the question that matters: where should we reallocate budget next quarter?
Reconciliation tolerance
±3% vs finance
Dashboard refresh
Daily, automated
First executive view
3 – 4 weeks
Collection
Server-side and consented
Foundation
Warehouse as single source
Attribution
Deduplicated multi-touch
Validation
Holdout and geo-lift
Why most marketing data fails the leadership test
Revenue numbers that never agree: Google Ads, GA4, Shopify, Salesforce and finance each report a different outcome. Decisions stall while teams debate whose numbers are right.
Tracking that eroded without warning: Consent prompts, iOS restrictions and ad blockers quietly degraded data quality. Few teams know the real size of the gap or how to close it.
Dashboards no one acts on: Thirty charts, no narrative, no thresholds, and no named owner for the action each metric demands.
Correlation sold as causation: Spend went up and revenue went up, so the channel gets the credit — without a controlled test to prove it actually caused the lift.
What a measurement operating model delivers
One reconciled version of the truth: A warehouse-backed measurement layer that aligns marketing, CRM and finance to within a defined tolerance you can defend in a board meeting.
Attribution you can explain: A documented multi-touch model with clear rules, known limitations and channel comparisons — so everyone understands what is being claimed.
Dashboards built for decisions: Every view answers a specific recurring question, triggers a named action when a threshold is crossed, and names the person accountable.
Proof, not preference: A calendar of holdout, geo-lift and switch-back experiments that prove which channels and tactics actually move revenue.
Our position
“A dashboard that does not change resource allocation is overhead. Measurement earns its place when it changes what the business does next.”
What the analytics programme includes
A complete measurement operating model, from collection to decision. Select each workstream to see what is delivered.
Collection architecture
A documented measurement plan, implemented server-side where accuracy matters, with consent handling and a full QA process for every event.
- Event and parameter specification mapped to business outcomes
- Server-side tagging and first-party data capture
- Consent Mode and privacy compliance by jurisdiction
- Automated event QA and anomaly alerting
How we build a measurement operating model
Diagnostic and gap analysis
Weeks 1 – 2
We compare your current tracking, platform data and finance figures to quantify exactly what is being lost, duplicated or misattributed.
Rebuild collection and QA
Weeks 2 – 4
The measurement plan is implemented, server-side tagging deployed and every business-critical event validated against real transactions.
Model, visualise and govern
Weeks 4 – 6
Warehouse tables, attribution rules and decision dashboards are released with a documented data dictionary and governance cadence.
Test, learn and reallocate
Ongoing
A quarterly experiment calendar validates channel and tactical impact, driving documented budget shifts and strategic decisions.
Analytics engagements
Transparent scope and pricing. No lock-in beyond the agreed cycle, and every account, asset and dataset stays in your name.
Measurement Diagnostic
$2,600
one-off
A forensic review of tracking accuracy, attribution logic, data gaps and reporting — with a prioritised remediation plan.
- Tracking accuracy and coverage assessment
- Platform vs ledger reconciliation
- Attribution policy and gap review
- Prioritised remediation roadmap
Analytics Build
$7,200
one-off project
Full implementation: collection layer, warehouse model, decision dashboards and the governance to keep them trustworthy.
- Server-side tagging and first-party collection
- Warehouse ingestion and data modelling
- Executive and channel dashboards
- Documentation, training and handover
Insight Partner
$2,900
per month
Ongoing analysis, experimentation and reporting support for leadership teams making weekly budget and strategy calls.
- Monthly insight readout with recommendations
- Quarterly incrementality and geo-lift tests
- Forecast and scenario model updates
- Dashboard maintenance and data QA
Before you brief us
If you operate more than two paid channels or have a sales cycle that sits in a CRM, a warehouse is the only reliable way to reconcile marketing activity with revenue. We design the architecture around your existing stack.
Where is your marketing system getting stuck?
Share your details and AI Explorer Media will review your website, landing pages, search presence, social channels and marketplace storefronts, then recommend the priorities that match your goals and real resources.
Baseline audit of your current state: We identify what is limiting reach, customer experience and conversion on each platform you already run.
Priority list, not a wish list: We clarify whether website, content, social, marketplace or paid media should be fixed first.
A roadmap you can actually resource: A sequenced plan built around your goals, budget and team capacity — no thin spend across everything.