Online professional certificate
Professional Certificate in Marketing Analytics
Build a governed path from measurement plans, funnel and cohort diagnosis and attribution limits to decision-ready dashboards and accountable recommendations.
- Format
- Online, self-paced
- Study time
- Up to 1 month
- Curriculum
- 20 applied lessons
- Language
- English
Practical capability
Turn marketing evidence into decisions people can review and own.
Current employer evidence connects marketing analytics with governed measurement, funnel and cohort diagnosis, attribution judgment, dashboards, stakeholder communication and proportionate recommendations.
Connect a named marketing decision to governed outcomes, diagnostics, sources, owners, cadence and action rules.
Build reproducible stage definitions, denominators and windows, then diagnose leakage without mistaking association for cause.
Define identity, inclusion, maturity and return rules so retention and value comparisons remain valid.
Compare credit models and lookback windows while separating descriptive allocation from incremental effect.
Design compact views around a decision owner, cadence, thresholds, data health and a clear response.
Turn mixed evidence into a bounded next action with alternatives, guardrails, approvals and a learning plan.
Who this course is for
A practical route into decision-ready marketing analytics.
Designed for professionals who need to move from a business question to controlled definitions, reproducible analysis, visible limits and an accountable next action.
The operating cycle
Move from a bounded marketing question to an owned learning step.
Work through the fictional Trailmark Workflow case and practise the recurring role sequence derived from current evidence and the frozen operating playbook.
Curriculum
Four modules. Twenty applied lessons.
Governed Measurement Foundations
Useful marketing analysis begins before a chart is built. This module turns a broad request into a bounded decision, then establishes the definitions, owners, data requirements and quality checks needed to make later comparisons trustworthy.
01Frame a Marketing Decision and Role Boundaries
Turn a vague analytics request into a decision the right people can act on.
Five practical steps
- clarify the concern
- define the decision
- bound the population and time
- assign roles
- record evidence needs
Primary deliverable: Marketing Decision Brief.
02Build a Governed Marketing Measurement Plan
Connect a marketing decision to measures that can be reviewed consistently.
Five practical steps
- choose the outcome
- select diagnostics
- map sources and owners
- set cadence and quality
- define action rules
Primary deliverable: Marketing Measurement Plan.
03Create a Controlled Marketing Metric Dictionary
Make marketing metrics reproducible instead of relying on labels.
Five practical steps
- define purpose
- set entity and grain
- state the calculation
- control scope and time
- assign source and owner
Primary deliverable: Marketing Metric Dictionary.
04Specify Marketing Data and Handoffs
Turn metric definitions into clear requirements for the people who manage data and risk.
Five practical steps
- define entities
- specify fields and grain
- document identity
- assign owners
- agree acceptance checks
Primary deliverable: Measurement Requirements and Handoff Sheet.
05Decide Whether Marketing Data Is Fit for Use
Decide whether available evidence is safe enough for a marketing decision.
Five practical steps
- confirm freshness
- test fields
- check identity and timing
- reconcile totals
- classify fitness
Primary deliverable: Data Health Assessment.
Funnel and Cohort Diagnosis
Once definitions and data are controlled, the next task is to find where performance changed and for whom. This module teaches funnels as bounded stage models and cohorts as equal-age comparisons, rather than as automatic explanations of customer behaviour.
06Build a Reproducible Marketing Funnel
Build a funnel whose conversion rates another analyst can reproduce.
Five practical steps
- define stages
- hold units stable
- set timing
- calculate rates
- reconcile limitations
Primary deliverable: Funnel Definition and Calculation Sheet.
07Diagnose Funnel Leakage and Segment Differences
Find where funnel movement is concentrated without guessing why.
Five practical steps
- align the baseline
- locate movement
- check tracking
- compare segments
- rank explanations
Primary deliverable: Funnel Diagnostic.
08Construct Comparable Marketing Cohorts
Define cohorts that support fair time-based comparisons.
Five practical steps
- set inclusion
- define identity
- choose the return event
- set periods
- control maturity
Primary deliverable: Cohort Construction Plan.
09Interpret Retention and Value by Cohort
Turn cohort tables into careful retention and value findings.
Five practical steps
- verify construction
- mark maturity
- compare equal ages
- test mix
- state limits
Primary deliverable: Cohort Performance Analysis.
10Turn Diagnostic Findings into the Next Test
Move from a diagnostic pattern to the next useful learning action.
Five practical steps
- state the pattern
- check limits
- list alternatives
- rank explanations
- choose the next test
Primary deliverable: Diagnostic Findings and Next-Test Brief.
Attribution Limits, Incrementality and Triangulation
Attribution assigns credit under a chosen rule; it does not recreate the outcome that would have occurred without marketing. This module makes model, scope, identity and lookback assumptions visible before learners compare attribution views or discuss impact.
11Record Attribution Scope and Settings
Make attribution reports comparable by exposing their rules.
Five practical steps
- define scope
- record conversion
- capture model and windows
- document identity
- state limits
Primary deliverable: Attribution Settings Record.
12Compare Attribution Views and Test Sensitivity
See whether an attribution-based decision survives reasonable settings.
Five practical steps
- align scope
- choose views
- compare credit
- test the decision
- document limits
Primary deliverable: Attribution Sensitivity Analysis.
13Separate Credit, Association and Incrementality
Explain what marketing evidence can support without overstating cause.
Five practical steps
- identify the claim
- inspect the comparison
- test for a counterfactual
- classify evidence
- rewrite safely
Primary deliverable: Causal Claim Boundary Note.
14Prepare a Safe Marketing Experiment Handoff
Hand a marketing test to the right owner with enough control for a credible readout.
Five practical steps
- frame the question
- define assignment
- specify treatment
- set guardrails
- obtain approval
Primary deliverable: Marketing Experiment Brief.
15Triangulate Marketing Measurement Methods
Combine different measurement methods without asking one method to answer every question.
Five practical steps
- define the decision
- map methods
- align scope
- weigh evidence
- choose the next use
Primary deliverable: Measurement Triangulation Memo.
Dashboards, Recommendations and Operating Review
Analysis becomes useful when the right audience can understand the decision, evidence, uncertainty and next action. This module turns controlled metrics and diagnostic findings into dashboard specifications, validated decision views and concise recommendations.
16Design a Decision-Ready Marketing Dashboard
Design a dashboard that helps one audience make one recurring decision.
Five practical steps
- define the decision
- choose the outcome
- add context
- set thresholds
- assign responses
Primary deliverable: Dashboard Specification.
17Validate Dashboard Evidence and Action Rules
Check that a dashboard is trustworthy and tied to real responses.
Five practical steps
- reconcile values
- test interactions
- verify status
- challenge explanations
- confirm action rules
Primary deliverable: Dashboard Validation and Action Map.
18Write a Bounded Marketing Decision Recommendation
Turn marketing evidence into a clear next decision without hiding uncertainty.
Five practical steps
- state the implication
- show evidence
- compare explanations
- recommend action
- define approval and learning
Primary deliverable: Marketing Decision Recommendation.
19Run a Marketing Performance Review
Make a recurring marketing review produce decisions rather than more reporting.
Five practical steps
- set the agenda
- freeze evidence
- present exceptions
- facilitate decisions
- record follow-up
Primary deliverable: Marketing Performance Review Pack.
20Close Decisions and Improve the Measurement System
Preserve what was decided, what happened and what the team should improve next.
Five practical steps
- record the decision
- confirm implementation
- monitor evidence
- classify learning
- update controls
Primary deliverable: Decision and Learning Register.
Applied capstone
Build a Marketing Investment Decision Pack.
Use only the methods that fit the decision. The capstone asks for one coherent professional recommendation, not a forced assembly of every lesson artifact.
The situation
Trailmark Workflow reports a synthetic 24% increase in attributed trial starts after a paid-social change, while the attribution window changed, duplicate trial events appeared, recent cohorts remain immature and approved cost data is available only as a range.
Your task
Determine whether the evidence supports an immediate 15% budget reallocation, a hold or a bounded approved test. Select only the relevant measurement, funnel, cohort and attribution evidence, then make uncertainty, ownership and approval explicit.
The people behind MTF
Meet MTF faculty and the learner community.
Explore the professional backgrounds of MTF faculty and learn more about the international community studying with the Institute.
Enrollment
Enroll in Professional Certificate in Marketing Analytics
One-time course price: €10, including applicable taxes. Payment is processed securely by Stripe. No card details are stored on the MTF Institute website.
You will receive an email with access to the course. If you have any difficulties, please write to welcome@gtf.pt.
Course access
The program is online, self-paced and taught in English. Complete the required learning activities and capstone to receive the named course-completion certificate.
Questions and details
Frequently asked questions
Open the sections that matter to you, including delivery format, AI-supported practice and the evidence used to design the curriculum.
Who is this marketing analytics course for?
This program is designed for aspiring and early-career marketing analysts, performance, growth, lifecycle and CRM marketers, business analysts entering marketing, and managers who need to commission or challenge marketing evidence.
What practical work will I complete?
You will create twenty distinct workplace artifacts, including a Marketing Measurement Plan, Funnel Diagnostic, Cohort Performance Analysis, Attribution Sensitivity Analysis, Dashboard Specification, Marketing Decision Recommendation and Performance Review Pack.
How does the course handle attribution and causal claims?
You compare descriptive attribution views and lookback windows, separate credit and association from incrementality, record sensitivity and alternative explanations, and route causal or budget decisions through appropriate experiments and accountable human review.
How is AI used in the practical work?
Every lesson includes bounded AI practice for organizing authorized evidence, drafting a structured artifact or challenging assumptions. A separate critic step and human verification remain mandatory, and every exercise includes a no-AI route.
What evidence supports the curriculum?
The curriculum is grounded in an audited MTF Institute analysis of 100 current U.S.-scoped vacancies from 88 employers, an independent current-trend review, two public MTF Insights articles and an open Zenodo research record.
Do I need coding, advanced statistics or paid tools?
No. Comfort with percentages and ordinary spreadsheets is enough to begin. The methods are tool-neutral and use SQL-shaped reasoning, analytics and business-intelligence contexts without requiring production engineering, advanced causal systems or a specific paid platform.
What certificate and access will I receive?
After enrollment you receive access to the MTF learning platform. Completing the required lessons, applied capstone and certificate activity provides the MTF Institute course-completion certificate for Professional Certificate in Marketing Analytics.