AI for Marketing Analytics

An advanced course for marketing analysts on AI-assisted attribution, automated reporting, and insight generation. Learners automate a recurring report and pressure-test AI-generated conclusions.

What this course covers

The course runs across 12 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Foundations of AI-Driven Multi-Touch Attribution — Understand how machine learning models assign conversion credit across complex, multi-channel customer journeys compared to traditional heuristic models.
Configuring AI Attribution Models in the Analytics Platform — Step-by-step setup of data pipelines and machine learning-based attribution models directly within your marketing analytics tool.
Resolving Attribution Anomalies and Data Discrepancies — Evaluate and troubleshoot common data mismatches and biases in AI-generated attribution reports to ensure reporting integrity.
Architecting an Automated Reporting Workflow — Design the end-to-end architecture for a hands-off, recurring marketing report that automatically pulls, processes, and formats multi-channel data.
Connecting Data Pipelines and AI APIs for Report Automation — Hands-on integration of marketing data sources with AI APIs to automate raw data extraction and initial processing.
Building and Scheduling the Automated Report — Deploy and schedule the automated recurring report within the analytics tool, setting up dynamic alerts and distribution lists.
Prompt Engineering for Advanced Marketing Insight Generation — Learn advanced prompting techniques to extract deep, actionable performance insights from raw marketing datasets using LLMs.
Pressure-Testing AI-Generated Conclusions — Critically analyze AI-generated marketing insights, identifying logical fallacies, correlation-vs-causation errors, and misinterpretations.
Fact-Checking and Auditing Automated Insights for Hallucinations — Practice auditing AI-generated summaries against source data to detect and correct hallucinations or statistical errors before reporting to stakeholders.
Predictive Forecasting Methodologies in Marketing — Explore time-series analysis and machine learning algorithms used to forecast future campaign performance, CPA, and ROI.
Generating and Tuning a Performance Forecast — Train and fine-tune a predictive forecasting model using historical campaign data to project next quarter's marketing performance.
Scenario Planning and Budget Allocation Decisions — Use AI-generated forecasts to run 'what-if' scenarios and make strategic budget allocation decisions under varying market conditions.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Marketing analysts, ops. The material is pitched at advanced level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Function: Marketing track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

See how this training works for the whole function on AI training for Marketing.

Also in this track

All Marketing AI training courses →
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AI for Product Marketing — A PMM-focused course on using AI for positioning work, launches, competitive intelligence, and enablement content. Learners develop a launch messaging kit with AI as their drafting partner.
AI for Paid & Performance Marketing — This course applies AI to paid media: generating and testing creative at volume, analyzing spend, and working with the platforms' own AI bidding. Learners leave with a faster test-and-learn loop.
AI for SEO Specialists — A specialist course on AI-assisted SEO: research, optimization, and technical auditing - plus the new discipline of visibility in AI-powered search. Learners audit and improve real pages hands-on.
AI for Marketing: Core — Learners use AI to create content, plan campaigns, and analyze performance while protecting brand. The course covers content creation, campaign planning, SEO and analytics, and brand voice and review. Participants finish able to ship more marketing, faster, and on-brand.
Marketing AI Readiness — Marketing AI Readiness: where each marketer stands today.
AI for Digital Marketing — AI across SEO, paid, and marketing analytics

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code FUN-MAN.