In today’s digital age, companies face a significant challenge of capturing and maintaining the attention of customers in a highly competitive and crowded marketplace. An effective strategy to address this challenge involves the customization of content to match individual customer preferences. Personalization is a powerful tool that enables businesses to build strong customer relationships. By embracing personalization strategies, companies can establish meaningful relationship with customers, encourage engagement and drive increased sales.

EpisXperience platform is the tool that automatically generates personalized messages and boosting the relevance of a company’s messaging content for its customers.

By leveraging user data, EpisXperience platform analyzes preferences, behaviors, and historical customer interactions. This understanding enables companies to create relevant content that perfectly aligns with individual customer interests and needs.

The platform provides 3 main features for personalization.

1. Content personalization

Personalized discounts offer of the same product

Platform tailors personalized discounts for the same product, adjusting offers based on individual user behavior.

Personalized product offer

Platform provides personalized product offers, adapting them based on individual user behavior and specific needs.

Personalized messaging

Platform personalizes messaging in perfect alignment with customers’ preferences and behavior.

2. Personalized communication channel

Automatically, the platform selects communication channels where customers engage most with company messages, ensuring effective outreach. The available channels for messaging include email, SMS, WhatsApp, Viber, and more. It also offers the option for customers to select their preferred channel.

3. Personalized time delivery

Messages could be automatically sent at times when customers are most engaged with company content, ensuring better response and engagement. Message sending can be also triggered by external factors, such as after a purchase, to further enhance customer interaction and satisfaction.

System Functionality Workflow

The System Functionality Workflow includes six essential stages.

Gather data

The systematic approach used to collect diverse and relevant datasets. This stage defines the various sources, methods, tools, and procedures to accumulate the required data sets, ensuring completeness, accuracy, and reliability. This stage also enables fully automated customer experience measurement.

Cleaning and consistency of data

Focus is on the process of data cleaning or data preprocessing. It uses methods to cleanse the gathered data, ensuring consistency, removing duplicates, handling missing values, standardizing formats, and preparing the data for further analysis. Manual data cleaning is included to guarantee and ensure the data is precisely cleansed.

Data modeler

Provides methodologies and techniques to structure the data for analysis or processing. It covers how raw data is transformed into meaningful models or structures that facilitate efficient analysis. Possible models as outcomes are RFM (Recency, Frequency, Monetary Value), Clustering, Customer Value Gap, Customer Churn Score, etc. The data module offers a pre-defined catalog of models that can be easily used with just a few clicks and enables the creation of customized models.

Insights

Applying strategies used to categorize or segment users based on various criteria such as transactions, behavior, demographics, preferences, etc. It elaborates on the methodologies employed to identify distinct user groups, which helps in personalization or targeted approaches. Based on the generated segment, it is possible to create targeted actions or content specifically tailored to that segment.

Action

Actions focuses on the actionable steps or decisions derived from the analyzed data. It offers that insights gained from the data analysis phase are translated into meaningful actions or strategies, emphasizing the practical applications and implementations derived from the data-driven insights.

Read more information about EpisXperience platform at http://episxperience.com/

Episcenter joined us at The MarTech Summit London in November 2023. Find out what we discussed in the Post-Summit Report.

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