GA4, CRM, and your ad platforms all show different numbers, and none of them are wrong on purpose. They're just measuring your marketing badly.

Signal Fix: We find what's broken in your marketing data before you build anything on top of it.

Your systems don't talk to each other, so the customer journey exists in a slide deck, not in your data.

Attribution Engine: We build the infrastructure that connects your customer journey to your marketing, for real, not in a slide.

You can't tell what's actually driving revenue versus what the platforms are claiming credit for.

Impact Lab: We quantify what's actually driving revenue, not what the platforms are claiming credit for.

You don't know where the next marketing dollar should go, and neither does anyone else in the room.

Growth Simulator: Know exactly where the next marketing dollar goes, with the math to defend it.

Customers are leaving and your data hasn't told you why yet.

Retention Lab: Understand who your customers actually are, and where the real growth is hiding.

Marketing reporting is scattered across five tools and nobody trusts the number in the room.

Reporting System: Sales, marketing, media, manufacturing, supply chain. One report your team stops arguing about.

Six data services, no more guessing

Your marketing data is lying to you. We fix that.

GA4 says one thing. Your CRM says another. Every ad platform takes credit for the same sale. We rebuild the tracking, prove what's actually driving revenue, and hand your team reporting it stops arguing about. Six services, fixed scope, fixed timeline. Pick one, or run the whole stack.

See the services Take the 30-second diagnostic

Why choose Magellan

Built for teams who stopped trusting their own numbers

94%

Client retention. Most clients come back for a second service.

Countries and markets served.

10+

Years of experience from founders and experts.

Not sure where to start?

Take the 30-second diagnostic

Two questions. One straight answer about where your marketing data actually breaks.

What's your biggest marketing data problem right now?

Services overview

Six services. Each one fixes exactly one problem.

We've spent years cleaning up broken tracking, attribution nobody believes, and marketing reports that get picked apart in every leadership meeting. Instead of another open-ended "transformation," we packaged the fix into six scoped services, each one solving a single problem instead of promising to fix everything at once. Find your problem below, or open any service for the full breakdown.

The pain points

Data loss
Unattributed revenue
Inflated CAC, performance that isn't real
Legal / compliance exposure

What's included

A diagnostic that tells you the truth about your marketing data, before any scaling or modeling makes the problem harder to see.

Full tracking audit: line by line review of GA4, GTM, pixels, and CRM configs. No assumptions, no vendor talking points.
Data consistency analysis: where your platforms disagree, and which one, if any, is actually right.
Attribution gaps & revenue leakage, quantified: a dollar figure for what’s currently being misattributed or lost.
Governance, documentation & consent check: how your marketing data is actually handled, including cookie consent and PII compliance, not how the last audit said it was handled.
Prioritized roadmap: ranked by impact vs. effort, not by what's easiest to sell you next.
AI readiness check: an honest read on whether your data quality can support the AI/ML use cases marketing keeps getting pitched.

The pain points

Disconnected systems
Broken attribution (consultant overrides, missing touchpoints)
Ad platforms can't optimize against data they never see

What's included

A unified data environment that actually connects marketing activity to business revenue. No black boxes.

Tracking redesign: full GA4 implementation, server side tracking, PII protocols done properly.
Data warehouse setup: BigQuery, Snowflake, or equivalent, configured to hold your raw marketing and revenue data, not just a vendor's rollup of it.
Automated ETL pipelines: scheduled and automated, so the warehouse doesn't go stale the week after we leave.
Data stitching: integration, cleaning, and normalization across CRM, media platforms, and web traffic.
Tagging & event architecture: a standardized, ML ready framework so every marketing touchpoint is measured the same way.
Documentation + handover: technical guides your team can actually maintain, not a PDF that gets buried in Drive.

The pain points

Conflicting platform data
Can't prove marketing ROI
Budget allocation is guesswork with a dashboard on top

What's included

A rigorous validation of your marketing spend that moves past last click attribution to the real incremental value of every channel.

MMM or incrementality modeling: DiD, Meridian, or custom ML driven models to measure true marketing uplift, not platform reported "conversions."
Channel contribution analysis: what Meta, Google, TV, and everything else actually contributes, once you strip out the over reporting every platform does to itself.
Executive ready recommendations: a strategic report built for the C suite, translating the model into marketing budget decisions they can act on.
Data quality validation: confirmation the model is standing on a data foundation solid enough to trust.
Documentation + handover: technical guides so your team can replicate and extend the model.

The pain points

No clear view on where to invest marketing budget
ROI vs. scale tradeoffs nobody's modeled
Leadership wants scenarios, not a gut check

What's included

A decision making framework that replaces "I think we should" with a forecast you can actually stand behind.

Budget scenarios: interactive models comparing ROI focused, revenue focused, and hybrid allocation strategies.
Channel reallocation plan: exactly where to move marketing spend, and why.
Forecasted outcomes: data backed, AI assisted projections for each scenario.
Decision framework: rules and triggers for navigating the growth vs. efficiency tradeoff without relitigating it every quarter.

The pain points

High churn
No real segmentation
No lifecycle marketing strategy, just campaigns

What's included

A strategic blueprint to stop revenue leakage and get real lifetime value out of the customers marketing already won.

Customer segmentation: RFM and behavioral analysis that goes past "high value / low value."
Lifecycle analysis: full journey mapping to pinpoint exactly where churn starts.
Retention drivers: predictive churn modeling that identifies which behaviors actually predict loyalty.
Audience strategy: groupings built for personalized marketing and re-engagement, not generic segments.
Activation recommendations: a prioritized list of tactical changes to move retention and LTV.

The pain points

Marketing reporting scattered across tools, spreadsheets, and platform native dashboards
Every department reports differently, and defends its own version
No single number leadership actually trusts
Manual reporting eats hours every week that nobody's getting back

What's included

An ongoing reporting layer, built in house or on the right third party tool, that unifies every function into one dashboard leadership can actually act on.

Cross functional KPI framework: the metrics that matter across sales, marketing, media, manufacturing, and supply chain, agreed on once, not relitigated monthly.
Platform setup: implementation in PowerBI, Tableau, or Looker Studio.
Unified data model: one reporting layer, every source connected.
AI enhanced insights: automated commentary, anomaly detection, trend flags.
Automated refresh & alerts: dashboards that are current without someone babysitting them.
Training & handover: your team owns and runs the system after we're gone.

Proof

Work we've shipped

Real engagements, mapped to the service that solved them.

Signal Fix

Tagging & analytics audit

A multi brand CPG company needed one trustworthy view of its marketing tracking before leadership would sign off on budget. We audited GA4, GTM, paid media, commerce platforms, and consent tracking, end to end.

A prioritized, three phase roadmap ready to act on

Impact Lab

Incrementality / Sales Analysis

A retail client needed to know if an in store branded area was driving sales, or just taking credit for sales that would've happened anyway. We modeled a complex, multi location dataset with difference in differences analysis to isolate the real incremental effect.

$134M in incremental sales attributed since 2018

Reporting System

Unified reporting

A luxury retail company operating across nine European markets had no shared view of marketing performance. Every market had its own story. We defined a KPI framework and built a centralized dashboard pulling together 11 data sources and 7 areas of expertise.

One dashboard serving 20+ stakeholders across 9 countries

Tools & stack

We work inside your stack

We only recommend new tools when your current setup can't support what you need.

Tracking & analytics

GA4, Google Tag Manager, server side tagging

Warehousing

BigQuery, Snowflake

BI & reporting

PowerBI, Tableau, Looker Studio

Modeling

Meridian, Robyn, custom MMM/incrementality frameworks. AI assisted analysis with Claude and other LLM tools.

How we work

From discovery to handover

The same team from the first call executes the work.

Discovery call

Understand the pain point and current marketing setup. No pitch deck yet.

Diagnostic

A scoped assessment (often Signal Fix) confirms the actual starting point, not the one that’s easiest to sell.

Proposal

Fixed scope, fixed timeline. No retainer, no scope creep.

Delivery

Hands on execution by the same team you talked to, not handed off to whoever's free.

Handover

Documentation and training so your team owns the system, not us.

About

We've spent years untangling marketing data nobody trusted

We started as a team of data and analytics practitioners who got tired of watching good marketing budgets get spent on bad numbers. Our founders and experts bring over a decade of hands-on work across tracking, measurement, and reporting for international brands. We've seen the same story everywhere: a channel taking credit it didn't earn, a dashboard nobody double-checks, a number that becomes gospel because no one has time to question it. That experience is why we don't do open-ended retainers. Every engagement is fixed scope, fixed timeline. You know exactly what you're getting, when, and for how much.