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Customer Profitability in the AI Era — Series Index

Customer Profitability in the AI Era is a 10 part series. Use this index as the table of contents and read the posts in order. Read the series in order...
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Customer Profitability in the AI Era Series #10: The Customer Profitability Review

Customer profitability becomes useful only when it changes the operating cadence. A quarterly spreadsheet leaves too much out. The company needs a review where finance, product, sales, success, support, and leadership look at the same customer base and ask what the accounts are doing to the business. The question goes
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Customer Profitability in the AI Era Series #9: When to Reprice, Automate, or Exit

Once a company sees customer profitability clearly, it has to decide what to do with the truth. There are four common moves: reprice, automate, redesign, or exit. The mistake is treating every bad-margin customer the same. Some customers should pay more. Some should be served differently. Some reveal product work
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Customer Profitability in the AI Era Series #8: Pricing Is Customer Selection

Pricing does more than capture value. Pricing selects customers. A company that underprices heavy usage attracts customers who use heavily. A company that bundles implementation for free attracts customers who need implementation. A company that discounts aggressively attracts buyers trained to renegotiate. A company that prices by seats when cost
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Customer Profitability in the AI Era Series #7: Expansion Quality Beats Expansion Volume

Expansion is usually treated as proof of customer health. The customer bought more seats, more usage, more modules, or a larger contract. The account is growing. The team celebrates. Customer profitability asks a harder question: what kind of expansion? Some expansion is clean. The customer adds users in the same
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Customer Profitability in the AI Era Series #6: Roadmap Drag Is a Customer Cost

Some customers look inexpensive in the margin report and expensive in the roadmap. They ask for special workflows, uncommon integrations, unusual permissions, custom reporting, edge-case compliance features, executive-requested dashboards, and exceptions that only make sense inside their organization. Each request may sound reasonable. Together, they can pull the product away
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Customer Profitability in the AI Era Series #5: Implementation Burden Is Part of the Product

Implementation is where many customer-profitability fantasies go to die. The contract says software. The work says process mapping, integration cleanup, data migration, training, change management, executive alignment, workflow redesign, permissions, security review, and adoption follow-up. The company may call these activities onboarding, customer success, solutions engineering, or professional services. Economically,
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Customer Profitability in the AI Era Series #4: Support Load Is a Margin Signal

Support is often treated as a customer-experience function. It is also a margin signal. The number of tickets matters less than what the tickets reveal. Some customers ask normal questions while adopting a product. Others expose confusing onboarding, brittle integrations, missing permissions, weak documentation, or unreliable product behavior. A third
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