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Identify and Analyse Your Most Loyal Customers

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Dmitry C. and 2 others
Identify and Analyse Your Most Loyal Customers

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Valencia Codes would like to welcome you all to our #11 edition of Level Up at the comfy offices of commercetools.

What is Level Up? It's a monthly meet-up where we will be inviting speakers from inside and outside of our community to introduce you to interesting technical topics and share their experiences with you.

This month the talk will be a 1 hour deep-dive on a single topic, RFM Segementation.

Identify and analyse your most loyal customers
by Imtiaz Ullah - Head of BI and Data @ Zizoo
RFM (Recency, Frequency, Monetary Value) is a simple but highly effective customer analysis model that has been in use for over 30 years. In particular, it evaluates customers’ recency (how long ago they made a purchase), frequency (how often they make purchases), and monetary value (how much money they spend). RFM segmentation and analysis is a marketing technique used to quantitatively rank and group customers to identify the best customers and perform targeted marketing campaigns. RFM is not just limited to transactional history in e-commerce, but can also work for Social Media interactions, online gaming or discussion boards.

Our Sponsors:
- Monad, the platform that lets you face vulnerabilities faster with a holistic view of your vulnerability data. For software engineers looking for a new adventure, they’re hiring! Find out more https://jobs.lever.co/monad or email them at valenciacodes@monad.com
- Commercetools is a German company and a world leader in ecommerce software powering brands like Audi, Danone and Just Eat.
- realizon is a digital solutions company which connects German companies with development centres in Spain.

Our Partners:
- Valencia Nomads is a thriving community & network of digital nomads, entrepreneurs and creatives, living and working in Valencia.

COVID-19 safety measures

Event will be indoors
The event host is instituting the above safety measures for this event. Meetup is not responsible for ensuring, and will not independently verify, that these precautions are followed.
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