Most A/B Tests Cannot Detect a Real Win
Real winning lifts are tiny, but detecting them needs traffic most sites lack. Most A/B tests are underpowered. Test bigger and fewer, not more.
Read the guide →Tested, practical guides on putting AI to work across creative, attribution, automation, and growth. Written by the AI for Marketing team.
AI for Marketing Insights is a library of practical, tested playbooks for performance and growth marketers using AI. Every guide breaks down one real tactic you can apply the same day, with the prompts, checklists, and field rules to do it yourself. No theory, no hype, just what works in real campaigns.
Each article is built around a single workflow a marketer actually runs, not a trend recap. We cover the parts of the job where AI changes the work in practice, and we show the steps, not just the idea.
How to show up in AI-driven ad channels like ChatGPT Ads: building spec-compliant product feeds, writing feed copy that ranks on relevance, and getting your catalog live and clean before the auction fills up.
How to credit channels honestly using AI-assisted attribution and incrementality testing, what first-party data you need first, and the traps that quietly inflate your ROAS.
Which marketing workflows are worth automating first, how to build them with AI without breaking your reporting, and where automation saves real hours instead of adding fragile complexity.
Prompt systems for ad hooks, landing pages, and email that hold your brand voice, and how to use AI for volume without producing generic copy.
How to make your content discoverable and citable by AI answer engines like ChatGPT, Claude, and Perplexity: structured content, the technical setup that matters, and why AI crawlers behave differently from Google.
We test before we recommend, label first-party data clearly, and link to primary sources so you can check our work. We do not publish fabricated numbers. When we do not have data on something, we say so. Every guide is written by practitioners who run these tactics in real growth and performance campaigns.
Real winning lifts are tiny, but detecting them needs traffic most sites lack. Most A/B tests are underpowered. Test bigger and fewer, not more.
Read the guide →Getting cited by AI is not SEO with new keywords. The cited pages rarely rank, brand mentions beat backlinks, and structure beats keyword density.
Read the guide →ChatGPT ads now support conversion tracking and CPA bidding. Set up the OpenAI pixel or Conversions API now to unlock the performance campaigns.
Read the guide →Creative is the new targeting, it fatigues on a schedule, and ROAS warns you too late. AI makes the decay arrive faster, not slower.
Read the guide →Google's August 17 bidding change lets over-delivering Target CPA and ROAS campaigns drift toward their targets. Audit and reset before July 6.
Read the guide →Platform ROAS measures what ads touched, not what they caused. The worst overstatements sit in branded search and retargeting. Measure cause instead.
Read the guide →Meta shipped lead verification and instant Messenger chat for lead ads. Here is the setup most advertisers skip, and where AI closes the gap.
Read the guide →OpenAI switched on product-feed campaigns in ChatGPT Ads. The feed is the creative: the field rules that get you surfaced, plus a free Claude skill that builds the feed.
Read the guide →Machines now generate more web traffic than people. What the agentic web changes for discovery, agent-driven buying, and measurement.
Read the guide →How to use AI models to credit channels honestly, the data you need first, and the traps that quietly inflate your ROAS.
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