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Gremial — Customer Intelligence and Automation with an RFM Model

Client: Gremial — Business Services / Trade Association

The challenge

The company needed to better understand the consumption behavior of its members in order to design differentiated loyalty strategies. Its KPI dashboard required constant manual updates and lacked an analytical model to segment customers by value and purchasing patterns. This limited the capacity for commercial action and service personalization, making it difficult to focus efforts on the segments with the greatest potential for retention and growth.

The solution

We optimized the consumption KPI dashboard with incremental automation and implemented an RFM (Recency, Frequency, and Monetary value) model to segment members. Based on the segments identified, we designed differentiated loyalty strategies integrated into the executive dashboard, enabling timely, evidence-based business and service decisions. The process was documented and made replicable so it can be extended to new service lines and marketing campaigns.

How does Arcetec strengthen your customer intelligence and automation?

Your company, like Gremial, may face the challenge of thoroughly understanding the consumption behavior of its customers or members. When KPI dashboards require constant manual updates and lack a robust analytical model to segment customers by value and purchasing patterns, the ability to design effective loyalty strategies and personalize services is limited. This makes it difficult to focus commercial efforts on the segments with the greatest potential for retention and growth.

At Arcetec, we address these needs by optimizing your KPI dashboards with incremental automation. We implement advanced models such as RFM (Recency, Frequency, and Monetary value) to segment your customers precisely. Based on these segments, we design differentiated loyalty strategies that are integrated directly into your executive dashboard, allowing you to make timely, evidence-based business and service decisions. We also make sure the process is documented and replicable, making it easier to extend to new service lines and marketing campaigns.

Technologies used

Services in this case

Frequently asked questions

What problem does implementing an RFM model solve?
It addresses the need to better understand members' purchasing behavior, making it possible to design differentiated loyalty strategies. It tackles the limitations of manual KPI dashboards and the lack of an analytical model to segment customers by value and purchase patterns, which made it hard to focus sales efforts and personalize services.
What technologies were used in this solution?
This solution used key technologies such as Python, which was likely used for data processing and implementing the RFM model. In addition, Azure SQL was used for database management and Power BI for visualizing and optimizing the KPI dashboard, enabling automation and analysis.
How does this solution support business decision-making?
The solution optimizes the KPI dashboard with automation and segments members using the RFM model. By building differentiated loyalty strategies directly into the executive dashboard, your company can make timely, evidence-based sales and service decisions, focusing efforts on the segments with the greatest potential.
Can this solution be replicated in other areas of my company?
Yes, the process implemented was fully documented and designed to be replicable. This means your company can extend this solution to new service lines or future sales campaigns, using the same methodology and structure to keep improving customer intelligence and automation in other areas.

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