Hello $Firstname AI Edition, Chapter 17: Conversion Rate Optimisation and Personalisation

Before you dive deep into personalizing every touch point, there's a fundamental question worth asking.

Is the general customer experience already working well enough for most of your customers? That's exactly what conversion rate optimization in the following called Crow helps you answer.

Crow focuses on improving the baseline experience, making sure your website, app, or campaign pages remove frictions, communicate clearly, and convert efficiently.

Across the world, there's a huge community focusing on this exact discipline.

Often, they also cross over into personalization, but in reality, most of them spend most of the time optimizing the general website experience for the average customer as opposed to creating personalized experience for a known and specific customer.

In the CX layer model, see chapter 17, Qrow plays a central role in the first phase of the personalization layer, which we call experience optimization.

This phase isn't just about tweaking button colors or form layouts, it's about systematically improving performance before tailoring content to individuals.

And why Qrow often centers on the website experience alone? Experience optimization takes a broader channel agnostic view, aiming to enhance the overall customer journey across touchpoints.

With the advent of generative AI, a lot has happened to Crow.

Tools can now not only run experiments, but also suggest which parts of the content to change and how to change it.

The result is that many more experiments can be run in a much shorter timeframe.

As you'll see in this chapter, there's a natural progression from crow to personalization.

With generative AI now fueling crow, this progression may happen earlier than ever.

Before you dive deep into personalizing every touch point, there's a fundamental question worth asking.

Is the general customer experience already working well enough for most of your customers? That's exactly what conversion rate optimization in the following called Crow helps you answer.

Crow focuses on improving the baseline experience, making sure your website, app, or campaign pages remove frictions, communicate clearly, and convert efficiently.

Across the world, there's a huge community focusing on this exact discipline.

Often, they also cross over into personalization, but in reality, most of them spend most of the time optimizing the general website experience for the average customer as opposed to creating personalized experience for a known and specific customer.

In the CX layer model, see chapter 17, Qrow plays a central role in the first phase of the personalization layer, which we call experience optimization.

This phase isn't just about tweaking button colors or form layouts, it's about systematically improving performance before tailoring content to individuals.

And why Qrow often centers on the website experience alone? Experience optimization takes a broader channel agnostic view, aiming to enhance the overall customer journey across touchpoints.

With the advent of generative AI, a lot has happened to Crow.

Tools can now not only run experiments, but also suggest which parts of the content to change and how to change it.

The result is that many more experiments can be run in a much shorter timeframe.

As you'll see in this chapter, there's a natural progression from crow to personalization.

With generative AI now fueling crow, this progression may happen earlier than ever.