ConversionXL

SEPTEMBER 1, 2020

Customer Lifetime Value is first and foremost, influenced by factors that are your KPIs: RFM distribution; Margin; Customer Experience (Product reviews, Net Promoter Score, Customer Effort Score, etc.); RFM distribution. Conduct qualitative research for each RFM group. Monitor CLV and the KPIs that affect it. Image source ).

Customers 132

Customers Referrals Campaign A/B testing 132

ConversionXL

FEBRUARY 21, 2018

This can be done in many ways – one of the most flexible and simple to understand is the RFM analysis. How RFM splits your customer base into cohorts. RFM cohort examples. It’s a common practice to use quintiles instead of tertiles for RFM analysis. This concatenation will create the cohorts.

Drivers/motivators 117

Drivers/motivators Non-Profits E-commerce Promote 117

ConversionXL

SEPTEMBER 25, 2019

Python is a better fit for marketers who specialize in data analysis and visualization. Here are some practical marketing use cases for Python: RFM modeling. Segment customers into groups based on their behavior with RFM (Reach, Frequency, Monetary) modeling. Here’s a guide to creating an RFM model in Python. Conclusion.

SQL 117

SQL GTM Campaign Start-ups 117

SaaStr

DECEMBER 26, 2019

We use HubSpot, Salesforce, Blueshift for human marketing, we have Xavier, so Amplitudes, a Tablo for data analysis. Guillaume : And then I need to be able to like do some BI, some analysis. Based on the analysis. But that’s basically my stack, data collection, data analysis, and data action is how I break it down.

B2C 62

B2C CRM Product Engineering 62

ConversionXL

JUNE 8, 2017

You need to find the support to do proper research, proper implementation, proper QA and proper analysis. There are also tools focused on UI analytics like click maps ( CrazyEgg , Hotjar , FullStory , Yandex Metrica ) or form analysis ( Formisimo , Yandex Metrica ). Support messages and chat logs analysis. Usability testing.

A/B testing 97

A/B testing UX User Experience Cross-sell 97

ConversionXL

FEBRUARY 26, 2020

That knowledge will help you go from mere identification to high-value analysis. From UTM identification to UTM-based analysis. While it’s nice to identify the source, medium, campaign, and other properties of a single click, serious analysis requires organizing traffic into meaningful categories based on their shared properties.

Referrals 118

Referrals Campaign Objectives and Key Results Strategize 118

ConversionXL

AUGUST 21, 2014

When it came to the RFM of time spent on a specific task, Groove hypothesized that the customers who took considerably longer were encountering problems of some kind. These inputs are weighted according to HubSpot’s analysis of thousands of customers over years. Rather than reaching out for help, those users simply quit.

Referrals 106

Referrals Objectives and Key Results Follow-up Service 106