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      <image:title>KDA &amp; Segmentation Landing Page - key drivers of satisfaction, loyalty and rebooking</image:title>
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      <image:title>KDA &amp; Segmentation Landing Page - six unique client segments</image:title>
      <image:caption>Uncover six unique client segments that have different attitudes and preferences when it comes to home cleaning. Six distinct psychographic segments were identified through k-means cluster analysis. Each segment represents a meaningfully different mindset towards cleanliness, home identity, and the cleaning service relationship.</image:caption>
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      <image:title>KDA &amp; Segmentation Landing Page - why trust the data</image:title>
      <image:caption>We built our cleaning business from $0 to $250,000 in a year using this exact data. With over 10 years of research and insights experience, we created this study to understand what the drivers are and how to best segment our clients. The results? Higher satisfaction scores, more rebookings and more referrals. The biggest concern we hear is around sample size. At 469 residential cleaning clients, your error range is 2%. Adding more clients returns diminishing returns in terms of data quality compared to cost.</image:caption>
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