Wed.May 21, 2025

Remove analytics-product
article thumbnail

B2B buyers need a reason to believe, not a list of features

Martech

Most product marketers mistake explanation for persuasion. They open with features, as if the product’s function speaks for itself. ” Research shows that when people evaluate options, they rarely isolate features analytically. This explains why feature-stuffed products often lose to competitors with a clearer story.

article thumbnail

Google Marketing Live 2025: Everything you need to know

Martech

The show had a slew of updates in which AI played a central role, powering everything from bidding and creative to product listings and campaign insights. This is brought together in a new Asset Studio, where brands can easily generate and test high-quality visuals that feel polished and on-brand, without needing a full production crew.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How much does AI cost? Here are the industry averages

Hubspot Marketing

The Cost of Predictive Analytics Platforms Want to know which products might become holiday bestsellers? Instead of relying on your gut for answers, consider using predictive analytics platforms. Predictive analytics platforms tend to be more affordable than other AI models since they dont need heavy computing power.

Price 90
article thumbnail

The content demand engine that every business needs but no one uses, from Morning Brew’s CEO

Hubspot Marketing

Envision a real, individual person who needs the product or service that your company offers. When readers get to your site, they will have gotten so much value from the content that theyll check out the product-related pages of your site and convert into pipeline. Start by asking yourself, who is your market of one?

article thumbnail

Test + Learn 2025: 6 key takeaways for experimentation teams

Welcome Software

Further, Elena challenged the entire product development cycle. Their "Automation Intelligence" algorithm (yes, Doychin's trademarking that) for product recommendations is the perfect cautionary tale. Now they use SQL to analyze "down-funnel metrics" that show product usage and revenue impact after sign-up. The problem?