Chapter 1

Orgs relying on AI to optimize & test website performance

Orgs relying on AI to optimize & test website performance

? Reading time

Optimizing and experimenting with B2B website content can feel like navigating a labyrinth — exciting yet overwhelming. Given the sheer depth and complexity of web pages, it’s easy for practitioners to get lost in the maze and struggle to embrace the process. However, experts suggest that data-driven insights are the secret sauce that help fine-tune messaging, elevate the user experience and, ultimately, turn clicks  into conversions.

But optimizing a website isn’t a one-and-done task; it’s more like a series of mini-adventures, with twists, turns and the occasional dead-end. And while the process may seem daunting, there’s good news: Mistakes are part of the journey, as they often reveal what doesn’t work before uncovering what does. “The average win rate of A/B experiments is 30%, which means every time you put up an experiment, your theory is probably wrong,” said Eddie Dunk, E-commerce Manager at Dermalogica, in a recent webinar with Intellimize, a Webflow company. “You need to open yourself up to embracing optimization technology, prioritizing customer conversations and creating a feedback loop with your team of ideas and iterations for website improvement.”

On embracing technology, many practitioners are shifting their focus toward AI experimentation tools to help them run more thorough tests. With that in mind, this special report will uncover what’s currently working in website optimization and testing strategies.

Read the full report here.

Optimizing and experimenting with B2B website content can feel like navigating a labyrinth — exciting yet overwhelming. Given the sheer depth and complexity of web pages, it’s easy for practitioners to get lost in the maze and struggle to embrace the process. However, experts suggest that data-driven insights are the secret sauce that help fine-tune messaging, elevate the user experience and, ultimately, turn clicks  into conversions.

But optimizing a website isn’t a one-and-done task; it’s more like a series of mini-adventures, with twists, turns and the occasional dead-end. And while the process may seem daunting, there’s good news: Mistakes are part of the journey, as they often reveal what doesn’t work before uncovering what does. “The average win rate of A/B experiments is 30%, which means every time you put up an experiment, your theory is probably wrong,” said Eddie Dunk, E-commerce Manager at Dermalogica, in a recent webinar with Intellimize, a Webflow company. “You need to open yourself up to embracing optimization technology, prioritizing customer conversations and creating a feedback loop with your team of ideas and iterations for website improvement.”

On embracing technology, many practitioners are shifting their focus toward AI experimentation tools to help them run more thorough tests. With that in mind, this special report will uncover what’s currently working in website optimization and testing strategies.

Read the full report here.

Chapter

Title of next chapter

Intro of next chapter

Author name
? Reading time
Read chapter
Chapter 1

Orgs relying on AI to optimize & test website performance

Orgs relying on AI to optimize & test website performance

? Reading time
w-current trigger

Optimizing and experimenting with B2B website content can feel like navigating a labyrinth — exciting yet overwhelming. Given the sheer depth and complexity of web pages, it’s easy for practitioners to get lost in the maze and struggle to embrace the process. However, experts suggest that data-driven insights are the secret sauce that help fine-tune messaging, elevate the user experience and, ultimately, turn clicks  into conversions.

But optimizing a website isn’t a one-and-done task; it’s more like a series of mini-adventures, with twists, turns and the occasional dead-end. And while the process may seem daunting, there’s good news: Mistakes are part of the journey, as they often reveal what doesn’t work before uncovering what does. “The average win rate of A/B experiments is 30%, which means every time you put up an experiment, your theory is probably wrong,” said Eddie Dunk, E-commerce Manager at Dermalogica, in a recent webinar with Intellimize, a Webflow company. “You need to open yourself up to embracing optimization technology, prioritizing customer conversations and creating a feedback loop with your team of ideas and iterations for website improvement.”

On embracing technology, many practitioners are shifting their focus toward AI experimentation tools to help them run more thorough tests. With that in mind, this special report will uncover what’s currently working in website optimization and testing strategies.

Read the full report here.