Marketing Analytics · Strategy and Analysis
Marketing Analytics Training: KPIs, Attribution and Decision-Making
Connect campaign and customer data to decisions that improve marketing effectiveness. Learnovra’s applied approach develops analytical questioning, reporting design and an understanding of data limitations rather than encouraging overconfidence in a single metric.
Who this training is designed for
For analysts, digital marketing teams, business leaders reviewing performance and MBA learners applying data to marketing problems.
- Marketing operations and performance analysts
- Business and growth stakeholders
- Academic cohorts needing applied analytics projects
Learning objectives
Participants learn to frame measurable problems, choose useful metrics and interpret results with care.
- Create a defensible KPI framework
- Compare campaign performance using consistent definitions
- Communicate insights and uncertainty to a nontechnical audience
Module 1 — Questions and KPIs
Start with business decisions and trace the evidence needed to support them.
- Objectives vs metrics
- Leading and lagging indicators
- Metric definitions and ownership
Module 2 — Data preparation and quality
Understand data sources, joins and inconsistent measurement.
- Data grain and keys
- Missing data and duplicate records
- Spreadsheet and SQL fundamentals
Module 3 — Channel and funnel analysis
Explore engagement, acquisition, conversion and efficiency using realistic examples.
- Campaign and cohort comparisons
- Funnel interpretation
- Channel overlap and attribution caveats
Module 4 — Dashboard and story
Choose analytical views that serve business questions rather than visual novelty.
- Looker Studio overview
- Trend and segment reporting
- Narrative and recommendations
Module 5 — Experiments and decisions
Turn an observation into a structured next step.
- Hypotheses and counterfactuals
- Test design concepts
- Results, limitations and next actions
Tools, practice and assessment
Google Analytics 4, Looker Studio, spreadsheets and introductory SQL/BigQuery exercises may be used based on agreed learner capability.
Teams work through a multi-table business scenario and present the commercial implications of findings.
A short analyst report includes measures, methodology, insights, caveats and recommended decisions.
Delivery and customisation
Available as foundational business workshops and more technical multi-session analyst programs.
Case studies and data complexity are tailored to business context, source systems and learner experience.
Frequently asked questions
Will the course teach SQL?
— SQL fundamentals can be included where useful, but depth depends on the agreed track.
Can participants use company dashboards?
— Yes, where appropriate access, privacy controls and preparation are agreed.
Will training guarantee a specific improvement in ROI?
— No. The objective is stronger analytical capability and better-informed decisions.
Related learning pathways
Related programs include GA4, Looker Studio and Digital Marketing.
Illustrative business decision challenge
An analyst team receives an inconsistent campaign-performance scenario and is asked whether to reallocate budget. It must establish comparable periods, define spend and outcome metrics, check segments and note limitations in attribution.
The final recommendation identifies what the data supports, what remains unknown and which test or additional observation could reduce uncertainty. The aim is sound judgement, not simply generating charts.