OneRange

AI for Marketing: Advanced — Automation & Personalization

This advanced course scales marketing with AI-driven automation, personalization, and experimentation. Learners build lifecycle automation, dynamic personalization, and A/B and multivariate tests, and work with agentic campaigns and attribution. The outcome is measurable growth through AI.

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.

  • Setting Up the AI Marketing Workspace — Configure the core platform workspace, connect data sources, and verify user tracking scripts for downstream AI automation.
  • Building Lifecycle Automation Triggers — Create automated event triggers based on user behavioral data to transition prospects through lifecycle stages.
  • Designing Branching Customer Journeys — Map out complex, multi-path lifecycle stages using predictive AI paths to target drop-off points.
  • Configuring Dynamic Content Personalization — Implement dynamic content blocks in the email and web editors driven by real-time user profile attributes.
  • Predictive Audience Segmentation — Build and refine machine learning-based audience segments to predict future purchase intent and churn risk.
  • Launching AI-Powered A/B and Multivariate Tests — Configure multi-variable experiments for email subject lines, layouts, and send times directly in the tool.
  • Interpreting Statistical Significance in AI Experiments — Evaluate multivariate test outputs and adjust automated winner-selection algorithms based on performance confidence metrics.
  • Deploying Autonomous Agentic Campaigns — Set high-level campaign goals and enable autonomous AI agents to generate, select, and refine creative assets.
  • Establishing Safety Guardrails for Agentic AI — Design brand-voice constraints, budget limits, and human-in-the-loop approval gates for autonomous agents.
  • Implementing Multi-Touch Attribution (MTA) — Set up attribution tracking scripts and map touchpoints across organic, paid, and referral channels.
  • Configuring AI-Driven Algorithmic Attribution — Compare heuristic attribution models with machine learning-driven algorithmic models to assign conversion credit.
  • Optimizing Marketing Spend and ROI Reporting — Run simulations in the tool to reallocate marketing budgets based on AI attribution insights and generate ROI dashboards.

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. This course maps to Data Analysis, Content Strategy, Critical Thinking, AI Ethics, Generative AI Concepts.

  • Data Analysis
  • Content Strategy
  • Critical Thinking
  • AI Ethics
  • Generative AI Concepts

Who it is for

Growth, lifecycle, marketing 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 →
  • 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.
  • 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 Marketing Teams — Create, scale, and measure marketing with AI
  • AI for Marketing Pathway — Grow from everyday content habits into advanced marketing automation and personalization.

Related

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-MKT-201.