Uhm, everybody? Well, in this case all you have to do is to increase customer retention rate by 5%. But how can you do it if you don’t know anything about your customers and most importantly about their buying behaviours?
RFM segmentation let you categorize your customers into different segments according to their buying behaviour - how recent they bought from you (R), how frequent (F) and how much money they spent (M). You can read more about RFM analysis here.
Right now you need to hire a developer to export all your customers data from your database and after that manually go to each one and see how recent they bought from you, how frequent and how much money they spent and assign a 1-5 score to each category in order to understand their buying behaviour and finally put together all the data.
Waste of valuable time & money
Regular updates needed
Not scalableI want to try a better way
Times has changed and we built a way to do RFM segmentation without days of manual work, wasted money and development skills. All you have to do is to connect your Stripe account and we'll get the data we need from there. Our algorithm will do the rest and you can export your customer segments in order to start increase customer retention rate.
No more money wasted on developers
No more infinite manual work
Highly scalableGet started for free
According to a Harvard Business School article by Frederick Reichheld and Phil Schefter, increasing customer retention rates by 5% increases profits by up to 95%.
Some big ecommerce brands like Eastwood, Frederick’s of Hollywood or L'Occitane has already increased their revenue using RFM segmentation. When will you?
Eastwood increased their email marketing profits by 21% using RFM segmentation
L’Occitane saw 25 times more revenue per email after they performed RFM analysis
Frederick’s of Hollywood recorded conversion rates as high as 6-9% in their campaigns
We have good backing by Commons Accel Accelerator where we was finalist