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Sector
Booking management software
Services
THE COMPANY
EXORA is a technology solution focused on booking and appointment management for recurring service businesses: barbershops, beauty centers, clinics, and similar businesses.
Their offering enables digitizing business operations, facilitating appointment booking, and optimizing the organization of time and resources.
However, the real challenge wasn’t managing schedules. It was how to help these businesses improve their profitability and customer loyalty through the intelligent use of data.
The starting point was clear: it wasn’t just about organizing calendars, but about anticipating customer behavior and triggering marketing actions at the right moment.
Recurring service businesses share a structural problem:
This situation creates two direct problems for business profitability: loss of revenue during low-occupancy periods and inefficient use of promotions and discounts.
The challenge was twofold: maximize occupancy without negatively impacting recurring customers, and reactivate irregular customers at the optimal moment.
The goal wasn’t to do more marketing. It was to do better marketing, data-driven and based on predictive marketing with artificial intelligence.
At BizMarketing we propose a completely different approach to traditional marketing. Instead of working on static campaigns, we design a system based on four pillars:
The objective was to build a system capable of anticipating demand, identifying critical business moments and automatically triggering personalized actions.
To do this, we worked on the historical behavior of customers and developed analytical models that detected recurrence patterns and predicted future behaviors.
The strategy was structured into three main lines.
The first step was to analyze customers’ historical behavior to identify recurrence and segmentation patterns.
Through predictive marketing models with artificial intelligence, we achieved:
This allowed us to define key intervention moments: weeks of high occupancy, periods of low demand and critical windows for customer reactivation.
The result was moving from a completely reactive management to a predictive management of the business.
Once the patterns were identified, we designed a predictive marketing system based on automatic triggers.
The system relied on key indicators such as the percentage of active customers, the volume of reactivatable customers and the evolution of demand in real time. When relevant deviations from the defined parameters were detected, the system automatically triggered the corresponding marketing actions.
This enabled:
Each action stopped depending on manual judgment and instead had a data-driven rationale and an optimal execution time defined by the AI.
To maximize impact, we designed a multichannel activation strategy that integrated:
Each channel was activated based on the customer’s specific behavior and the precise timing of the business, which allowed increasing campaign effectiveness, improving personalization, and scaling the system without increasing the team’s operational load.
Marketing ceased to be a manual task and became an automated, intelligent system.
The implementation of the predictive marketing model with artificial intelligence completely transformed the business’s commercial management.
Among the main impacts achieved:
Additionally, the system proved to be scalable: the model developed for EXORA can be transferred to any recurring services business that wants to anticipate customer behavior and act before losing them.
This project was awarded the award for best digital marketing strategy at the E-TECH 2024 Awards, granted by AENTEG.
The recognition highlights the innovative use of predictive marketing with artificial intelligence as a lever of real and measurable growth for companies in the services sector.
