Sharing AI wins and fails will save marketers from repeating mistakes | MarTech

"When shiny new tech meets reality I've always been a bit of a geek. I love trying out the latest technology, especially when it saves time or helps me create something better. I've also learned that shiny new tools don't always live up to the hype. Some take longer to master than the time they're supposed to save. Others are unreliable or rough around the edges until years of updates smooth them out. And sometimes, they never deliver on their promise at all."

"Where AI delivers AI has delivered some impressive marketing wins. Heinz used it to generate ketchup bottle images, and Nike simulated Serena Williams' tennis matches. The digital marketing discovery group DigitalDefynd even tracks these and other standout AI campaigns. But most of these successes come from extensive, expensive efforts that produce vast volumes of content. That's not the everyday reality for most marketers. What matters to them is knowing when AI starts delivering incremental improvements - and when"

"Marketers rarely share A/B test results. With AI, that's becoming a bigger problem - and opportunity. AI can deliver significant wins, but it can also stumble in ways that hurt campaigns and brands. Most of what we learn stays hidden inside individual campaigns, leading to duplicated effort, repeated mistakes and slower progress. It's time to learn from AI's boosts and blunders and share the results."

Marketers rarely share A/B test results, producing duplicated effort, repeated mistakes and slower progress across campaigns. AI can speed copywriting, improve lead scoring and enable creative breakthroughs, but it can also produce errors that damage campaigns and brands. High-profile AI successes often require extensive, expensive work and large content volumes that most teams cannot replicate. Everyday marketers need clarity about when AI delivers incremental improvements and when it introduces risk. Capturing and sharing both AI-driven wins and blunders can accelerate collective learning, reduce wasted effort and improve campaign performance and quality across organizations.

Read at MarTech