AI for Marketing & CRO

AI can speed up almost every part of marketing, and it can also flood a funnel with generic output that converts worse than what it replaced. This collection covers where AI actually lifts results in B2B and ecommerce marketing: personalization, conversion rate optimization and testing, customer research, email, social and content. Each piece focuses on the revenue mechanism and the discipline that keeps results trustworthy.

Start here

• AI for B2B Marketing: A Revenue-First Playbook: four plays for B2B teams.
• 10 AI Use Cases in B2B Marketing: ten use cases with the revenue mechanism spelled out for each.
• AI Tool Stack for Marketing Teams: a working stack chosen on production readiness.

Personalization

• AI Powered Personalization That Actually Compounds: why personalization stalls on ownership and operating model.
• AI Website Personalization: where it pays for itself and where it only adds complexity.
• AI for Ecommerce: personalization and merchandising for online retail, and where returns are thinner than promised.

Conversion rate optimization and testing

• AI Conversion Rate Optimization: faster research and testing without losing rigor.
• AI A/B Testing: running more tests without inflating false positives.
• AI Landing Page Optimization: generating and testing variants at higher throughput.

Research and measurement

• Customer Research with AI: speeding up qualitative research while keeping findings reliable.
• How to Measure Marketing Effectiveness: attribution and measurement that survive scrutiny.

Channels

• AI for Email Marketing: where AI lifts email ROI and where it hurts deliverability.
• AI for Social Media Marketing: using AI on social without producing generic posts.
• Indirect Marketing Channels: partners, marketplaces and ecosystems as a growth channel.

Content and copywriting

• AI Content Marketing: where AI helps content and where it produces generic output.
• Maximizing Your Copywriting With AI: applying AI to conversion copy.
• AI Creative Writing Guide: four entry points and where an editor is still needed.

From the archive (2022)

• How GPT-3 Will Change Copywriting and Content Marketing
• AI Marketing: How to Use AI Tools for Online Marketing
• How To Leverage AI Growth Marketing For 10X Scale

Common questions

What are the best uses of AI in B2B marketing?

The uses with the clearest revenue link are website and email personalization tied to account or intent data, faster conversion testing, customer research synthesis, and content repurposing under editorial review. Fully automated content production is the most common use and usually the weakest.

Can AI replace A/B testing?

No. AI can generate more variants, predict likely winners and speed up analysis, but you still need a controlled test to know whether a change caused a result. The risk with AI-assisted testing is running many tests at once and calling false positives as wins, so sample size and guardrail metrics matter more.

Does AI personalization work for B2B websites?

It works when there is enough data to identify the visitor's company, industry or intent, and when someone owns the content for each segment. Without that, personalization adds maintenance cost and little lift. Starting with a few high-traffic pages and a few segments is usually the right scope.