What is RFM analysis?

Il modello RFM è un sistema di classificazione che ordina i clienti secondo un punteggio individuale, calcolato attraverso tre metriche:

  • Recency: l’ultima volta in cui un utente ha fatto un acquisto.
  • Frequency: quanto spesso un utente compie i propri acquisti.
  • Monetary: spesa media dell’utente dato un periodo di riferimento.

L’Analisi RFM consente di segmentare i clienti in base al loro comportamento di acquisto e definire quanto sia attivo e redditizio ciascun gruppo.

What is RFM Analysis and Why is it so important
RFM segmentation is a method to identify the most important types of customers grouping by scores based on their recency, frequency and monetary values. The purpose is to predict which customers are more likely to buy again in the near future.

How can I uplift my e-commerce conversion rate?

Personalization of the complete customer experience is a journey based on exploration, data collection, validation and insights to finally improve the customer experience of every audience member.

Conversion Rate Issues in Retail Industry — How Much Brands are Potentially Losing on E-Commerce
How to uplift conversion rate fixing some common issues to drive more sales and optimize the user navigation.

How can I generate more sales?

Segmentation is one of the core tasks of every marketer. It involves classifying customers or prospects into homogeneous clusters in order to better understand how they behave and to identify their mutually-common attributes.

Given the constant need of customers to be recognized as being unique, it has now become more complex to understand or segment them.

To archive the optimal customer experience, companies need to embrace a personalization maturity journey with different stages which combine data, segmentation optimization and insight generation.

Transform newsletter subscribers in paying customers
how triggers generate important sales opportunities for a cycled increase of your customer base, and to optimize your acquiring costs.

What is Customer Lifetime Value?

It's the value of a customer for a company over the entire duration of their relationship. This metric is extremely relevant as in most cases it is cheaper to maintain existing relationships with customers rather than acquiring new ones.

2 Data-Driven Email Marketing Automation to Uplift Commerce Retention
Use a data-driven approach using RFM Analysis to create retention tactics

How can I analyze my Customer Base?

RFM segmentation is a method to identify the most important types of customers grouping by scores based on their recency, frequency and monetary values. The purpose is to predict which customers are more likely to buy again in the near future.

Knowing this "customer features" allow companies to target specific customer groups based on their behaviors.

Thereby using wisely these insights you can generate an higher response rates, increased loyalty, and better customer lifetime value.

[Step by Step Guide] Map Customer Segmentation using Google Analytics and Google Sheets
Aumentare le vendite dai clienti acquisiti: Google Analytics ed ExcelConoscere,poi, i segmenti di pubblico a cui stai vendendo o cercando di vendere il tuoprodotto, ti aiuta a parlare la loro lingua, a creare comunicazioni molto piùefficaci, a comprendere i loro comportamenti e preferenze, agendo…

What is AARRR?

The Pirate Funnel could help you find this bottleneck. If you follow the steps below and fill in all the numbers, you’ll see what part of your funnel is hurting your customers the most.

  • Awareness – How many people do you reach?
  • Acquisition – How many people visit your website?
  • Activation – How many people take the first important step? (E.g. Sign-up, install an app or post their first comment)
  • Retention – How many people come back for a second/third/tenth time?
  • Revenue – How many people start paying? And how much do they pay?
  • Referral – How many people refer friends to your business?
AARRR — A framework for SaaS business, examples and template sheet
Keep tracked your SaaS business with AARRR framework — The “How to” guide with examples on how the pirate metrics can help your product to grow.


Acquiring new customers means understanding what makes your customers tick. A successful company should have a continuous flow with prospects and be careful for not wasting money in the wrong channels.

  • Increase your traffic and generate leads
  • Optimize your marketing campaigns
  • Get traction for new product launches
  • Enhance your SEO and Content Marketing
  • Make your followers actual customers
  • Discover new customer acquisition channels


Having traction and visitors is good. But, what you really want is to put a name, (or email address :-)) behind every click. Nurturing visitors is the only way forward. This is the first time that people experience your “Aha!” moment and they benefit from the value proposition that you promised them.

  • Optimize your onboarding process
  • Automate your onboarding communication
  • Remove activation bottlenecks


Acquisition and Activation mean nothing if people don’t stick to your product or service. This is one of the most vital factors if you want to achieve sustainable growth. Retention is the essence of growth hacking.

  • Accurate retention analysis
  • Advanced techniques for pulling users back
  • Optimize digest and educational communication


People who pay for using your product or service are those that put the real fuel to your company. Increasing MRR and finding new revenue streams is part of the Growth Hacking Mindset you need to have.

  • Increase your payable customer base
  • Maximize your free trial and freemium conversions
  • Engage your customers and decrease churn
  • Capture & Measure the correct Metrics i.e. MRR

What is GDPR?

The General Data Protection Regulation (GDPR) is European Union legislation that will apply from May 25, 2018, however its purpose can be summarized very simply: Its aim is to strengthen the rights of European Union (EU) citizens with regard to how their personal data is used and how it’s protected. (‘Personal data’ means any information that relates to an identified or identifiable natural person).

The GDPR applies to any organization inside or outside the EU who is marketing goods or services to, and/or tracking the behaviors of, EU citizens. If you do business with Europeans that involves the processing of their personal data, this legislation applies to you.