Jyll is my go to for Google Ads insight, so this caught my attention:

Too many assets means your ad will take too long to learn and optimize - or never learn at all. 8-10 headlines and 3 descriptions is plenty for most advertisers

Google wants all the robot food, but maybe all is too much.

It makes sense… 🤔


Chat 4 Ads

From Meta

We will start personalizing content and ad recommendations on our platforms based on people’s interactions with our generative AI features

Whether it’s a voice chat or a text exchange with our AI features, this update will help us improve the recommendations we provide for people across our platforms so they’re more likely to see content they’re actually interested in


How do you build a brand in world intermediated by chatbots and AI agents?

And in a world that’s less screen-centric?

What about a world with translucent screens we wear on our faces?

How do you become the synonym for the activity? Like Google for search and Kleenex for tissue.


It’s a reminder that customers reward companies that take long-term bets on value and consistency

That reminder is Kirkland, Costco’s house brand. A brand that is now bigger than Coca-Cola and Nike.

A brand that came about after listening to customers. What a novel idea!

(Just make sure you’re listening to your actual customers)

via Conversion Rate Experts


Google ruling LLM 101:

chatbots now routinely incorporate into their responses fresh information from the internet or other sources through a process known as grounding

before, an LLM’s response was time-limited by the end date of its training data…through grounding an LLM can now access content beyond its training data, such as web pages in a search index, to provide more recent and more accurate information

pre-training creates a base (or foundation) model, which is then post-trained (or fine-tuned) on collections of data so that the base model can perform specialized tasks