AI for Marketing

Evaluate AI through the work marketing teams actually do. Find guides to research, content, prediction and automation, alongside practical limits, cost considerations and review methods.

Choosing Claude for a marketing team
Compare Claude subscriptions and API access through draft quality, review time, permissions and the full cost of useful marketing work.
ChatGPT pricing: a guide for marketing teams
Compare ChatGPT plan prices, Business seat options and separate API charges, with a practical budget example for marketing teams.
The role of data in AI for marketing
Understand training data, retrieved context and evaluation, with checks for outcome labels, data leakage and reliable marketing predictions.
Generative AI and critical thinking in marketing
What research on AI and critical thinking means for marketers, with practical checks for claims, comparisons, quotations and calculations.
Generative and multimodal AI: differences and marketing uses
Understand how generative and multimodal AI differ, where they overlap, and how to evaluate marketing tasks using text, images and other inputs.
What is Claude AI? Marketing uses and practical limits
Learn where Claude fits in research, campaign briefs and copy drafting, with a practical division of work and checks before publication.
Machine learning for marketers: uses and evaluation
Explore marketing predictions, clustering and recommendations, with clear guidance on baselines, precision, recall and evaluating new data.
What is artificial intelligence? A guide for marketers
Understand AI capabilities in marketing, from prediction to generated content, and how to evaluate a useful workflow before expanding it.
How to run an AI pilot for a marketing team
Plan a marketing AI pilot with a defined task, test set, quality gates, cost measures and a clear decision on whether to ...
How AI agents work: a guide for marketers
Understand agent instructions, models, tools and checks, and what to assess before allowing software to act on marketing data or campaigns.
Meta AI memory: what personalisation means for marketers
What Meta's January 2025 memory announcement said, how personalisation differs from advertiser access, and what marketers can assess.
NLP for marketing: feedback, sentiment and search
Choose NLP methods for feedback, sentiment, search and summaries, then evaluate labels, ambiguity and source accuracy before acting.