Making customer retention the main attraction for revenue

Kubrick helped a global leisure operator create customer intelligence that identifies high-value customers, understand churn risk, and uncover cross-selling opportunities.

From incomplete CRM data to a clearer view of customer value

Our client is one of the world’s largest leisure operators, welcoming 60 million visitors each year across 23 countries.

However, incomplete and siloed CRM data made it difficult for marketing teams to understand customer behaviour, identify valuable audiences, and prioritize retention activity.

In eight weeks, Kubrick developed a self-service customer intelligence prototype that cleaned, enriched, and modeled the organization’s data. This gave the client a clearer view of customer value, churn risk, and where new commercial opportunities could be found.

$17m

potential additional revenue identified

95,000

high-value customers identified at risk of churn

$24m

potential customer value at risk over five years

8

weeks to develop the prototype
  1. 01

    The challenge

    Gaps and inconsistencies within the organization’s CRM data prevented marketing teams from developing a reliable understanding of their customers.

    This made it difficult to identify high-value audiences, recognize when customers were likely to leave, and determine which offers would be most relevant.

    As more data-led competitors entered the market, the organization needed a more effective way to use its customer information to guide marketing and retention decisions.

  2. 02

    The approach

    Kubrick built a customer intelligence prototype that transformed fragmented customer records into practical insights for marketing teams.

    The team:

    • Ingested customer data into Databricks
    • Cleaned and validated the data to improve its quality
    • Enriched customer records with publicly available UK census data
    • Developed recency, frequency, and monetary-value segmentation
    • Built customer churn and lifetime-value models
    • Created a self-service interface for business users
  3. 03

    The impact

    The prototype gave the client a clearer understanding of customer value, churn risk, and where new commercial opportunities could be found.

    Marketing teams could prioritize high-value customers, focus retention activity where it would have the greatest impact, and develop more relevant cross-selling campaigns.

    The analysis also revealed how customer behavior varied by location, creating opportunities for more targeted promotions and better-informed marketing decisions.

Unlock more value from your customer data

Use data and AI to improve customer insight, retention, and commercial performance.

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