Use Case CSU: How CSU Aims to Reach the Right Candidates — Not the Most

Total Care, the parent company of CSU and Tzorg, provides cleaning services at 15,000 locations and household support to 70,000 clients across the Netherlands. Each year, the organization receives over 95,000 applications for cleaning and domestic help positions. But according to Alexander Duijmelinck, Manager of Recruitment Strategy & Operations at Total Care, it’s not about quantity — it’s about relevance. CSU and Tzorg don’t aim to reach as many candidates as possible; the real challenge lies in reaching the right candidates. How do they approach this? And what role does Giant from Intelligence Group play in it?

1. The Challenge

CSU and Tzorg face several recruitment challenges, both large and small:

  • Reaching the right candidates: Some applications are not a good fit, often due to travel distance or working hours. In today’s market, the question is how to attract the right people to apply at CSU.
  • Limited willingness to travel: Candidates are often reluctant to travel long distances, which makes it difficult to find suitable employees for locations in more rural areas.
  • Part-time work: Many people would like to work more hours for various reasons. Aligning the available work with the needs of (potential) employees remains a recurring challenge.
Alexander Duijmelinck, Manager Recruitment Strategy & Onboarding
Alexander Duijmelinck, Manager Recruitment Strategy & Onboarding

“Our goal is not to reach as many candidates as possible, but the right ones. It’s more cost-efficient and helps prevent disappointment among candidates.”

2. Approach

CSU and Tzorg have adopted a data-driven approach built on three pillars:

a) Data-driven recruitment

Both recruitment and employer branding are driven by data. For example, the recruitment team uses advanced dashboards that provide instant access to nationwide data and allow them to zoom in on specific locations when needed. They combine this with data from Giant, offering both regional and national insights, including:

  • Availability of cleaning talent
  • Recruitment feasibility and regional differences
  • Location profiles based on willingness to travel and current trends
Alexander Duijmelinck
Alexander Duijmelinck

“With data, we can see what’s feasible for each location and where we need to be extra focused.”

b) Process optimization through data analysis

By using the right tools — including Giant — CSU and Tzorg ensure that all relevant data is transparent and accessible. The entire recruitment process is mapped out, and by performing the right analyses, they make the process simpler, faster, and clearer for both applicants and employees.

Alexander Duijmelinck
Alexander Duijmelinck

“Good data analysis makes a huge difference. It helps you identify bottlenecks and address them first.”

c) Smart use of technology

Innovation is a key focus for CSU and Tzorg. They strive to combine the strengths of people and technology — not only in their services but also in their recruitment process. The key lies in adopting technology in the right way. Examples include:

  • Chatbots and WhatsApp for speed and personalized follow-up
  • Strategic partnerships for relevant, value-adding tools
  • User-friendly solutions that make processes simpler and clearer for both candidates and employees
Alexander Duijmelinck
Alexander Duijmelinck

“We use technology to make things simpler, faster, and clearer for both applicants and employees. That’s what it’s all about.”

3. Results

  • 95,000 applications with a focus on quality
    Despite the high volume of applicants, CSU and Tzorg maintain a strong focus on recruitment quality — supported by targeted dashboards and process management.
  • Decrease in irrelevant applications
    CSU and Tzorg have seen a clear reduction in unsuitable applications, resulting in fewer rejections and more satisfied candidates (based on qualitative feedback).
  • Improved process efficiency
    Process optimizations have shortened the time from application to placement.
  • Higher satisfaction among candidates and employees
    Faster communication, clearer messaging, and more relevant matches contribute to a better candidate and employee experience.
  • Flexible contracts aligned with employee preferences
    By understanding part-time preferences and local labor market dynamics, CSU offers work that fits employees’ needs, reducing turnover and improving continuity.

Conclusion

CSU and Tzorg demonstrate that large-scale recruitment doesn’t have to be impersonal. By integrating data-driven insights into locations, candidates, and processes, they have transformed their recruitment approach — shifting from quantity to quality, from complexity to clarity, and from process-driven to people-focused efficiency.