The framework
Customer Love Quotient.
From sentiment to decisions.
Customer Love Quotient brings customer attachment into a disciplined conversation about commercial priorities.
Attachment is a starting point.
Customer love is an appealing phrase. For a management team, the practical question is how evidence about attachment should inform a particular choice.
In The Analytics System, Customer Love Quotient is presented as a structural metric of customer attachment, distinct from satisfaction alone. It sits within a broader discussion of how customer evidence, commercial context and managerial responsibility connect.
Context gives the evidence meaning.
A movement in a score can raise questions about experience, retention or brand priorities. Its interpretation depends on who was measured, what was asked and whether comparisons preserve their meaning. Observed purchasing and business conditions remain part of the discussion.
Stronger attachment may be commercially relevant. That relationship needs to be examined in the context where a decision is being made; the score alone does not establish causation or guarantee a business outcome.
The next step is a decision.
Which investment is under consideration? What alternatives are available? What would the organization need to learn before acting? These questions keep customer evidence connected to a real management problem.
Our selected applications explore that problem through experience investment, retention and brand decisions. They are illustrations of executive judgment, rather than reported client results or a self-service implementation guide.
The book and this site
The full conceptual treatment of CLQ is in The Analytics System. This site offers a selective introduction and complementary commercial perspectives.

The source of the framework · Now published
One framework.
A larger architecture.
The Analytics System explores how data foundations, metrics, AI and managerial judgment connect. Customer Love Quotient is one contribution within that architecture.
The book provides the full conceptual treatment. This site extends the discussion through selected commercial applications.
Amazon US · English first edition · Published October 20, 2026.
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