Automated Segmentation with RFM

Automatically Explore Distinct Customer Segments Right Out of the Box.

Customer Data Platform
rfm eliminate guesswork

Eliminate Guesswork from Behavioral Segmentation

Who are my loyal customers? Who are most likely to churn? To engage?

Segmentation is critical to any marketing strategy. But trying to uncover key customer segments from billions of data points is cumbersome. Grouping them manually can be like finding a needle in a haystack.

Despite a need to identify actionable differences in customer behavior, marketers end up spending too much time comparing data sets.

Introducing Automated Segmentation

Our best-in-class automated segmentation technique – via recency, frequency, monetary (RFM) analysis – examines your customer activity to identify how recently and frequently they performed an action such as purchasing a product or booking a trip.

It divides your audience into distinct groups that range from champions and loyal users to at-risk and hibernating customers that are likely to churn.
automated segmentation
rfm transitions

Pinpoint Segment Transitions to Improve Retention

In one intuitive view, you can identify customers that moved from one segment to another and constantly fine-tune your engagement efforts.

Are new customers becoming champions? Recommend related products in push notifications. Are at-risk customers moving into the hibernating segment? Re-engage them with personalized reactivation offers.

Find Monetary Value to Determine Marketing Spend

Marketers often struggle to attribute the right monetary value to a segment. Without automated segmentation, it is easy to overlook high value customers or miss re-engaging at-risk customers at the right time.

Automated segmentation gives an aggregate value such as purchases, readership, or subscriptions for each customer segment. With insights into your most valuable and least valuable customers, it’s easier than ever to determine the spend on your marketing campaigns.
monetary rfm
user engagement strategy

Use Reachability Metrics for Effective Messaging

CleverTap’s automated segmentation also brings you channel-specific reachability metrics for each segment. Determine the most effective channel of communication such as mobile push, email, SMS, and web push to adapt your messaging and prioritize every segment’s unique engagement preferences.

Why our customers love us

We Drive Measurable Growth

Helping our customers succeed
View our Customers
  • 4x

    Higher CTR with ab testing


    Reduction in new user churn

    “I loved CleverTap from the moment I started using it. It’s not just a mobile engagement tool, but a tool that is helping apps continue to grow and achieve their objectives.”
    Natalia Garcia Ocampo
    Marketing & Growth Director, Movii
    See Case Study
  • 71%

    Increase in week 3 retenion rates


    Improvement in average CTRs with personalization

    “Pairing Carousell’s own AI and machine learning work and with CleverTap’s capabilities in the same domain has helped to enhance the push experience for buyers on the platform.”
    Arun Kumar
    Head of Digital Marketing at Carousell
    See Case Study
  • 12%Engagement

    With event-centric campaigns


    Using data-based insights from Pivots

    “CleverTap’s data-driven mobile marketing suite continues to play a crucial role in our growth. Using CleverTap we have been able to run omnichannel campaigns for a diverse set of use cases.”
    Mihir Shah
    VP of Product & Marketing Growth, Disney+ Hotstar
    See Case Study
  • 16%

    More Conversions


    Increased Campaign CTRs

    “The amalgamation of data science and the ability to extract data faster, real time updates to metrics, and campaign automation capabilities make CleverTap the best in the industry.”
    Manish Dhanwani
    Senior Marketing Manager, SonyLIV
    See Case Study
  • 5x

    Increase in 90-Day Retention Rate


    Increase in MAUs

    “CleverTap is an easy-to-use and intuitive tool to engage with customers. It has a wide selection of channels, and also detailed analysis tools to help get insights for all your campaigns. We are also very happy and impressed with the support the customer success team provided.”
    Maybelle Cheah
    Customer Analytics Team Lead at Boost
    See Case Study