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.

What this course covers

The course runs across 10 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.

The Paradigm Shift: AI-Driven Performance Marketing — Understand how AI transforms the marketer's role from manual execution to strategic steering, focusing on the accelerated test-and-learn loop.
Creative Generation: Scaling Ad Assets with AI — Learn to use generative AI tools to produce high-volume ad copy variations and visual assets aligned with brand guidelines.
Structuring Creative Testing Matrices — Design structured multivariate testing frameworks to evaluate AI-generated creative assets systematically within ad platforms.
AI-Powered Audience Strategy and Segmentation — Leverage predictive modeling, algorithmic expansion, and custom intent signals to optimize audience targeting.
Mastering Platform AI: Meta Advantage+ and Google PMax — Navigate and configure native platform AI features, understanding how to feed them the right inputs for optimal performance.
Steering Bidding Algorithms and Constraints — Make critical decisions on setting tCPA, tROAS, and budget constraints to guide platform bidding algorithms without choking delivery.
AI-Assisted Budget Analysis and Attribution — Utilize AI analytics tools to parse cross-channel spend, detect anomalies, and optimize budget allocation dynamically.
Analyzing Performance Signals and Iterating — Interpret platform performance data to quickly identify winning creative concepts and feed insights back into the generation loop.
Troubleshooting Algorithmic Fatigue and Decay — Identify signs of ad fatigue and algorithmic stagnation, and execute strategic interventions to reset platform learning phases.
Building Your AI-First Paid Media Workflow — Establish an agile operational workflow that balances automated execution with human strategic oversight.

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

Paid media, growth marketers. The material is pitched at intermediate level, and takes roughly 120 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 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 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.
AI for Lifecycle & Customer Marketing — Lifecycle and CRM marketers learn to build AI-driven lifecycle and retention programs. The course covers segmentation, email and journeys, personalization, win-back, and testing. Participants finish able to run more sophisticated lifecycle programs with less manual work.
AI for Copywriting & Content — Copywriters and content marketers learn to produce high-quality, on-brand copy faster with AI. The course covers briefs and drafts, voice and tone, long-form, editing, and originality and rights. Learners finish able to scale output without losing their voice.
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 120 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-PPC.