RFM Analysis - Marketing Strategy

by
Odoo 5

$ 218.54

v 14.0 Third Party 39
Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies • Email Marketing (mass_mailing)
• Contacts (contacts)
• Discuss (mail)
• Invoicing (account)
• CRM (crm)
• Sales (sale_management)
• Calendar (calendar)
• Inventory (stock)
Lines of code 16484
Technical Name setu_rfm_analysis
LicenseOPL-1
Websitehttps://www.setuconsulting.com
Versions 13.0 12.0 11.0 15.0 17.0 14.0 16.0
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Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies • Email Marketing (mass_mailing)
• Contacts (contacts)
• Discuss (mail)
• Invoicing (account)
• CRM (crm)
• Sales (sale_management)
• Calendar (calendar)
• Inventory (stock)
Lines of code 16484
Technical Name setu_rfm_analysis
LicenseOPL-1
Websitehttps://www.setuconsulting.com
Versions 13.0 12.0 11.0 15.0 17.0 14.0 16.0
Request a demo

RFM analysis is a data driven customer behavior segmentation technique. RFM stands for recency, frequency, and monetary value. RFM is a method used for analyzing customer value. As you can gauge, RFM analysis is a handy method to find your best customers, understand their behavior and then run targeted email / marketing campaigns to increase sales, satisfaction and customer lifetime value.

  • RFM

  • arrowRecency : Date of Last of Purchase
  • arrowFrequency : Total Number of Orders
    •
  • arrowMonetization : Total Order Value
    •

RFM analysis increases eCommerce sales. It enables personalized marketing, increases engagement, and allows you to create specific, relevant offers to the right groups of customers. RFM analysis allows marketers to target specific clusters of customers with communications that are much more relevant for their particular behavior – and thus generate much higher rates of response, plus increased loyalty and customer lifetime value.

RFM Analysis, our solution helps you to run targeted email / marketing campaigns to increase sales, satisfaction and customer lifetime value. With our solution you can easily bifurcate your customers by RFM segments which gives you a clear idea about your marketing strategy.


Key Features


  • Smart dashboard to track all activities
  • Heart of the solution from where user can track all the activities of RFM Analysis with smart navigation
    •
  • Smart technique to segmentize your customers
  • RFM analysis uses smart technique to segmentize your customers base in a meaningful way to use in a marketing activities
    •
  • Create & Track mailing campaign by customer segments
  • Easily create & track mailing activities from the RFM segment, separate mailing by each RFM segment
    •
  • Track Leads by customer segments
  • Track leads by RFM segment which helps you to focus on specific leads according to importance of RFM segment
    •
  • Track sales quotation by customer segments
  • Track sales quotations by RFM segment which helps you to focus on specific sales according to importance of RFM segment
  • Track sales orders & revenue by customer segments
  • Track sales orders & revenue by RFM segment which helps you to analyse your business
    •
  • Track customers by customer segments
  • Track total customers base by each RFM segment, how many customers are there in each segment.
    •
  • Smart report to analyse customers engagement with business
  • Compare business growth by analysing customer engagement through yearly RFM segmentation report
    •
  • Auto update customer segments in timely fashion
  • Auto update customer segment by running RFM segmentation process through the scheduler action.
    •
  • Predefined RFM segments with marketing tips
  • Marketing tips enables personalized marketing, increases engagement, and allows you to create specific, relevant offers to the right groups of customers.
    •

    • Benefits of RFM Analysis

    • Conducting an RFM analysis on your customer base and sending personalized campaigns to high value targets has massive benefits for your business.

    • arrow Personalization: By creating effective customer segments, you can create relevant, personalized offers.
      •
    • arrow Improve Conversion Rates: Personalized offers will yield higher conversion rates because your customers are engaging with products they care about.
      •
    • arrow Improve​​​​​ unit economics
      •
    • arrow Increase revenue and profits
      •
    • arrow Identify target audience easily with the help of RFM Analysis
      •
    • arrow Easy to handle marketing campaigns for the target audience
      •
    • arrow Business health checkup can be easily done with the RFM segmentation ratio analysis
      •
    • arrow Measures growth easily by comparing RFM Segment Ratio Yearly Analysis
      •


    RFM Segments


  • Champions - Your best customers
  • arrowHighly engaged customers who have bought the most recent, the most often, and generated the most revenue.

    arrowMarketing Strategy : Focus on loyalty programs and new product introductions. These customers have proven to have a higher willingness to pay, so don't use discount pricing to generate incremental sales. Instead, focus on value added offers through product recommendations based on previous purchases.
  • Loyal - Your Most Loyal Customer
  • arrowCustomers who buy the most often from your store.

    arrowMarketing Strategy : Loyalty programs are effective for these repeat visitors. Advocacy programs and reviews are also common X1X strategies. Lastly, consider rewarding these customers with Free Shipping or other like benefits.
  • Highest Paying - Your Highest Paying Customer
  • arrowCustomers who have generated the most revenue for your store.

    arrowMarketing Strategy : These customers have demonstrated a high willingness to pay. Consider premium offers, subscription tiers, luxury products, or value add cross/up-sells to increase AOV. Don't waste margin on discounts.
  • Promising - Faithful Customers
  • arrowCustomers who return often, but do not spend a lot.

    arrowMarketing Strategy : You've already succeeded in creating loyalty. Focus on increasing monetization through product recommendations based on past purchases and incentives tied to spending thresholds (pegged to your store AOV).
  • Needing Attention Customers
  • arrowCustomers who are above average recency, frequency and monetary values. May not have bought very recently though.

    arrowMarketing Strategy : Make limited time offers, Recommend based on past purchases. Reactivate them.
  • Newest Customers
  • arrowThese are customers who transacted only once or very rare, but very recently

    arrowMarketing Strategy : Most customers never graduate too loyal. Having clear strategies in place for first time buyers such as trigger welcome email will pay dividends.
  • Sleeping Customers
  • arrowGreat past customers who haven't bought in awhile.

    arrow Marketing Strategy : Customers leave for a variety of reasons. Depending on your situation price deals, new product launches, or other retention strategies.

    • Screenshots

    Suggested Apps

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    Great support!
    by
    Nguyen Thanh Tuan
    on 7/31/23, 4:52 AM

    Thanks a lot Setu team for helping us install RFM Analysis application. Hope this system will help us take better care of old customers!

    by
    Seventh Dimension
    on 8/30/22, 2:26 AM
    Great pleasure working with your company and their fast service was remarkable in order to facilitate all the requirements.

    This is a game changer for us allowed to have a better picture of the customer lifetime value and we are doing our best in order to maintain a long fruitful business relationship with our customers that lasts in more purchases for higher business profitability and service excellence especially when it comes to after-sales services to assure ultimate customer satisfaction.

    Tradução Português Brasil
    by
    Leandro Ferreira de Paula
    on 12/30/21, 5:14 AM

    Bom dia,
    Vocês conseguem colocar tradução neste módulo para o Português BR ?
    Por favor, retorne no e-mail leandro@kingx.com.br

    Grato.