Customer Base Analysis is Soluta's new product for collecting data and using it to enhance the value of the customer base. This can help companies make data-driven decisions to turn them into real value for the company with an innovative approach based on CRM and commercial customer clustering.
What can you use it for?
-
Increased sales: By analyzing purchasing behavior, opportunities can be identified to increase average spending and order frequency.
-
Identifying high-value customers: Improving the efficiency of marketing actions by targeting campaigns to specific clusters.
-
Customer loyalty: Improve the average value per customer by focusing on purchasing behaviors that indicate loyalty.
-
Reducing churn: In-depth analysis allows you to identify signs of churn and take preventive action to retain customers.
What you can gain:
-
Business-oriented data: With an analysis in CRM and sales data, make more accurate and strategic decisions to achieve your business goals.
-
Real-time monitoring: Keep track of your customers' behavior, including overlooked ones, optimizing each interaction with dynamic and personalized management.
-
Identifying sales opportunities: Through clustering, discover new paths to increase sales and capitalize on your customer base.
-
Dynamic customer engagement: With diverse analytics and a customer-facing methodology, improve the way you communicate and create increasingly personalized experiences for your customers.
Essential functions:
-
Churning Analysis
Managing churn is critical in CRM. With CBA, you can identify customers at risk of churn and take timely action to keep their loyalty high. -
RFM Based Analysis
Integrate the RFM model into your CRM to optimize sales! Focus on customers who interact with the most frequency and economic value, maximizing the ROI of your CRM strategies with analysis based on Recency, Frequency and Monetary value. -
Customer Clusterization
Not all customers are the same! This clustering tool allows you to identify and segment high-value customers, enabling you to create customized marketing campaigns to maximize results. -
Predictive Analysis
CRM is a time machine. With predictive analytics, you can anticipate your customers' needs and actions, improving strategic decisions through advanced insights.
Analytical approach:
-
Data Extraction: Gathering data from the various touchpoints to create a solid base of information for input into CRM.
-
CRM Enrichment: CRM enrichment with detailed information and integration of internal and external data to have a complete view of the customer within the CRM system.
-
Advanced Data Analytics: Application of advanced analysis techniques on CRM to identify patterns, segment customers, and generate insights that support CRM-based business decisions.
-
Marketing Automation: Based on analytics in CRM, automating campaigns to reach the right customers, at the right time, with the most relevant message.
-
Reports and Dashboard: Customized reports and dashboards, directly from CRM, to monitor campaign performance and evaluate return on investment.
With Customer Base Analysis you can make decisions based on CRM data and to improve your relationship with your customer base. Find out more by visiting the site!
