ConversionXL

AUGUST 1, 2019

And how does that compare to H1 2018? Regression is a good option because it’s very interpretable for non-technical audiences, which means it can be communicated easily. lead-to-customer conversion rate, retention, etc.). Kettering once said, “My interest is in the future because I am going to spend the rest of my life there.”.

Analytics 118

Analytics Non-Compete HTML Conversion 118

ConversionXL

OCTOBER 30, 2019

What about stages three through seven, which can generally be grouped under the “ retention ” umbrella? We know how important and valuable retention is. We’re all familiar with the classic retention stats: Acquiring new customers is 5–25 times more expensive than retaining existing customers. Speed to first value experience.

Retention 101

Retention Metrics Churn Rate Acquisition 101

ConversionXL

OCTOBER 30, 2019

What about stages three through seven, which can generally be grouped under the “ retention ” umbrella? We know how important and valuable retention is. We’re all familiar with the classic retention stats: Acquiring new customers is 5–25 times more expensive than retaining existing customers. The list of complexities goes on.

Retention 48

Retention Metrics Churn Rate Acquisition 48

ConversionXL

OCTOBER 4, 2018

But, in 2018, incremental gains no longer cost $1 million either: You have more data; Storage is cheap; and. The resulting visualization shows the tool’s prediction performance and correlations between datasets and retention. They built propensity models based on search behavior and created high-value lookalike audiences.

Analytics 131

Analytics Algorithm Artificial Inteligence Campaign 131