When you walk into an Adamanta gym on a busy evening, it feels like the future of climbing in Latin America, walls packed with routes, music, competitions, and a community that keeps growing every month.

But behind that energy, the leadership team was facing a problem shared by almost every fitness brand in the region: people were signing up, climbing for a few monthsand then disappearing.

Adamantadidn’t just want more members. They wanted lasting members. Like many highgrowth fitness operators, Adamantahad expanded faster than its data infrastructure.Multiple locations across Mexico. A growing mix of memberships, drop-ins and events. A legacy ecosystem of CRM, POS and operational tools that didn’t “talk” to each other.

Information lived in different systems and spreadsheets. Leadership could see monthly churn totals, but not the behavioral patterns behind them: Who was slipping away? At what point? Andmost importantlywhy?

Industry data already painted a worrying picture: in Mexico, roughly 7 out of 10 people abandon the gym within the first months of the year. Adamanta could feel that same pattern in their own numbers, but lacked of a reliable way to quantify, predict and act on it.

The question they brought to Aconcagua was simple and ambitious: “Can we predict which climbers are about to churnand act before they leave?”

The Business Challenge: Growth Without Visibility

Like many highgrowth fitness operators, Adamantahad expanded faster than its data infrastructure. Multiple locations across Mexico, a growing mix of memberships, dropins and events, and a legacy ecosystem of CRM, POS and operational tools that didn’t talk to each other.

Step 1 – Building a Unified Data Backbone

Our first move was not to train a model, but to clean up the data. Together with Adamanta, we centralized three core sources inside Google Cloud Platform, using BigQuery as the analytical backbone: customer & membership data, weekly activity data, and membership lifecycle history.

Step 2 – Discovering the Behavior Behind Churn

With the data ready, we moved into exploratory analysis. We confirmed what many gym operators intuitively feel, but rarely quantify: churn is overwhelmingly behavioral, not demographic. The real signals of risk came from recency, frequency, tenure and spending patterns.

Step 3 – Segmenting the Climbing Community

Before predicting churn, we wanted to understand who Adamanta was serving. Using dimensionality reduction (PCA) and clustering techniques, we grouped thousands of climbers into five actionable segments based on real behavior, from Elite Clients and Champions to AtRisk members.

Step 4 – Two Models, One Retention Engine

Rather than relying on a single algorithm, Aconcagua designed a dual-model strategy to see churn from two complementary angles. The first model, built with LightGBM, looks at consolidated variables per customer to produce a global risk score.The second model, powered by Random Forest, tracks week-by-week changes in behavior, acting like an early-warning system.

Predictions alone don’t keep anyone on the wall. Actions do. Aconcagua embedded the models directly into Adamanta’s cloud data ecosystem, adding a churn probability field that updates as new weekly data arrives. These scores feed into a suite of Power BI dashboards and are operationalized through a Churn Analytics Playbook that defines segments, plays and responsibilities across teams.

Step 6 – A 12-Week Path from Idea to Pilot

The entire engagement followed a structured 12-week roadmap: kickoff and data ingestion, EDA and business understanding, baseline model and segmentation, dashboard and playbook development, and finally user acceptance testing and pilot rollout.

The Impact: From Guesswork to Predictive Strategy

While churn is an ongoing battle, the early impact of the project is already clear in Adamanta’s strategic planning: projected churn reduction, higher customer lifetime value, more efficient marketing spend, and better facility planning. Most importantly, Adamanta now sees churn as a manageable behavior they can anticipate and influence.

Although this case was built with a climbing chain, the blueprint applies to any membership or subscription-based business: fitness clubs, co-working spaces, education platforms and subscription services. If your business depends on people coming back, you face the same questions Adamantahad,and the same kind of data-driven strategy can help you answer them.

At Aconcagua, we don’t just build models; we build decision systems that empower your team. Whether you’reoperatingone location or thirty, we can help you centralize scattered data, design churn and retention models, deploy dashboards and playbooks, and lay the foundations for a scalable cloud analytics ecosystem. If you’d like to explore how this kind of solution could look for your business, reach out to Aconcagua and let’s start mapping your route.

From Routes to Retention: How Adamanta Turned Climber Churn into a Data Driven Growth Engine 

As Adamanta aggressively expanded its footprint across Mexico and Latin America, its operational visibility began to lag behind its physical growth. The company relied on a restrictive legacy CRM with limited API capabilities, forcing the team to depend on manual Excel workflows and fragmented data silos. This lack of centralized intelligence created a "blind spot" for management, making it difficult to monitor cross-facility performance or understand customer behavior during a critical scaling phase.

Aconcagua intervened as a strategic digital partner, engineering a centralized data ecosystem to replace manual processes. We built a robust data warehouse using Google Cloud BigQuery, successfully unifying complex data streams from Adamanta’s CRM, POS, and expense reports into a single source of truth. Leveraging this foundation, we developed interactive Power BI dashboards to provide leadership with real-time operational oversight. To bridge the gap between digital strategy and customer experience, we also deployed a custom, white-labeled version of our Top Out mobile platform, specifically designed to digitize climbing tournaments and community engagement.

The transformation provided Adamanta with the scalable digital backbone necessary to support their leadership position in the region.

 Management now has a unified, broad-level view of all locations, empowering them to launch data-driven retention strategies and new product lines with confidence.

 The move from Excel to automated dashboards drastically reduced manual reporting time and improved data accuracy.

 The app integration proved highly successful for managing climbing competitions, facilitating seamless cross-facility tournaments that significantly boosted member interaction and competitive participation.

Scaling New Heights: End-to-End Digital Transformation for Latin America’s Largest Climbing Chain

When Adamanta partnered with us to implement an advanced analytics solution, we started using RGP’s API. However, we soon discovered it lacked robust functionality for multi-gym setups. Its reliance on outdated architecture made it difficult to access data across locations. Furthermore, the API’s instability—frequent bugs and limited documentation—forced us to roll back much of our initial work. These issues highlighted a broader problem: RGP, while a popular tool in the climbing industry, was not built to support the growing complexity of modern gyms. For Adamanta, this meant key performance indicators (KPIs) critical to marketing, operations, and sales were either inaccessible or required extensive manual workarounds.

Faced with these challenges, we pivoted to a new approach. By combining some creative data extraction techniques and custom-built integrations, we were able to bypass many of the API’s limitations. This allowed us to gather richer datasets and build a more reliable pipeline for analytics. With this new system in place, Adamanta gained access to a suite of KPIs tailored to their needs. For marketing, they could now track customer acquisition costs (CAC) customer engagement and net promoter scores (NPS). Operationally, they monitored peak usage times and demographics insights. Sales data opened an array of new opportunities exploring membership trends and revenue growth opportunities. Beyond individual metrics, our solution offered a holistic view of Adamanta’s business health through dashboards that integrated data across all locations.

The impact was immediate and profound. Adamanta reported improved decision-making across departments, from better allocation of resources during peak hours to more targeted marketing campaigns that increased membership retention. With actionable insights at their fingertips, the management team could shift focus from reactive problem-solving to proactive growth strategies. They now save over 10 hours each week by automating tasks that were previously tedious and time-consuming. These reclaimed hours are redirected toward strategic planning and execution, driving business growth at an unprecedented pace.

Moreover, our collaboration with Adamanta highlighted the increasing challenges climbing gyms are encountering. As they modernize and adopt technology at a rapid pace, their reliance on data continues to grow. However, they face a significant shortage of resources and tools to harness this data effectively.

This project wasn’t without its hurdles. However, these challenges also reinforced the value of innovation in overcoming technological constraints. By rethinking how we approached data extraction and analysis, we not only delivered results for Adamanta but also laid the groundwork for scalable solutions that can benefit other gyms in the future. Adamanta’s journey serves as a testament to what’s possible when businesses embrace data-driven strategies despite technological limitations.

As we continue refining our analytics services, Adamanta stands as a shining example of how advanced insights can transform operations—and ultimately help businesses climb to new heights.

Are these challenges unique to Adamanta, or do other climbing gyms face similar hurdles? To find out, we’re inviting gym owners and managers to share their experiences through a quick form. Your insights will help us identify shared challenges across the industry. If enough interest emerges, we’ll release our tailored tool to address these issues

Case Study: Transforming Adamanta’s Business with Advanced Analytics

Why Data Management and Data Governance Matter

As SMBs grow, their data becomes more complex and harder to manage. Without proper management, data can become inaccurate and chaotic. Aconcagua helps SMBs treat data as a core asset, ensuring it’s consistent, reliable, and accessible. Effective data governance also supports compliance with increasing privacy laws.

Data governance ensures that data remains accurate, secure, and trustworthy. A strong governance framework reduces the risks of data breaches, unauthorized access, and compliance issues. Aconcagua has implemented systems for data validation and cleaning that enhance quality and streamline workflows.

As data spreads across multiple systems, inconsistencies can arise. Aconcagua helps businesses consolidate their data into a centralized SSOT, eliminating silos and improving collaboration. This ensures that all departments have access to the same, accurate data, driving efficiency and informed decision-making.

Many SMBs delay data investments, thinking they’re only for larger companies. However, this delay can lead to costly issues later. By partnering with Aconcagua, SMBs can establish data best practices from the start, preventing inefficiencies and security risks and enabling growth.

At Aconcagua, we help businesses overcome this challenge by implementing a Single Source of Truth (SSOT)—a unified, centralized repository where all critical business data is stored and easily accessible. By consolidating data into a single platform, businesses eliminate silos and ensure that every department is working with the same, most accurate version of the information. This consistency empowers employees at every level of the organization to make more informed decisions, collaborate more effectively, and improve overall operational efficiency.

For SMBs, the value of SSOT is immense. When data is centralized and easily accessible, teams can focus on what matters most: driving growth and delivering results. Aconcagua has helped businesses implement SSOT solutions that integrate seamlessly with existing systems, allowing SMBs to scale operations without the headache of managing fragmented data.

For SMBs, data is a powerful tool that can drive growth, improve decision-making, and enhance customer relationships. By investing in robust data strategies early on, businesses position themselves for long-term success in an increasingly data-driven world. Partnering with Aconcagua allows SMBs to leverage the full potential of their data, optimizing processes, enhancing security, and driving innovation at every stage of their journey.

Our Insights

From Routes to Retention: How Adamanta Turned Climber Churn into a Data Driven Growth Engine

Scaling New Heights: End-to-End Digital Transformation for Latin America’s Largest Climbing Chain

Case Study: Transforming Adamanta’s Business with Advanced Analytics

Building a Strong Data Foundation: Key Practices to Scale with Confidence