ConversionXL

AUGUST 1, 2019

And how does that compare to H1 2018? There might be several scenarios where real experiments are not possible: sometimes management may be unwilling to risk short-term revenue losses by assigning sales to random customers. lead-to-customer conversion rate, retention, etc.). How did we do last quarter? What happened H1 2019?

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. upgrading plans) or not (e.g.,

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 number of purchases or revenue that will occur in the future. The resulting visualization shows the tool’s prediction performance and correlations between datasets and retention. customer churn. The results?

Analytics 131

Analytics Algorithm Artificial Inteligence Campaign 131