Finance
Customer profitability analytics
Customer profitability analytics is the process of identifying which of your customers are actually making you money.
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Customer profitability analytics vs Non-customer analytics
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Close overlapcustomerFinanceFinance
Marketing
Non-customer analytics
Non-customer analytics is about understanding what people who are currently not your customers think about your product, services or brand.
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Use this when.
Use this analysis continuously to understand where customer value is being created, and give it particular attention when revenue is falling, costs are rising or margins are under pressure. It can reveal whether the problem comes from customer mix, acquisition channels, service demands, pricing or operational cost.
Use it when a market is stagnant, declining or narrowly contested, or when customer only research keeps reproducing the same opportunities.
Extracted signals
Strengths, limits, and pitfalls.
Customer profitability analytics
- Assess profitability across the customer’s complete relationship and expected lifetime. When systems treat a person who buys five products as five unrelated customers, each product view can look weak even though the combined relationship is highly profitable. Resolve customer identities before acting on the result.
- The method also applies where “profit” means efficient use of a constrained budget. In one NHS project, only 5 per cent of patients accounted for more than 200 accident and emergency visits. Identifying these super users allowed the organisation to address their underlying needs through different support while freeing resources for other patients.
- The same logic helps broadband providers identify customers whose use of an unlimited plan makes the relationship uneconomic. Regression analysis (Regression Analysis), correlation analysis (Correlation Analysis) and data mining (Data Mining) can help identify the characteristics associated with different profitability groups.
Watch for
- Do not leave customer profitability inside the finance function. Finance understands cost allocation, while sales, service and operations understand the behaviours that create those costs. Their combined interpretation is what turns the metric into sound pricing, service and marketing decisions.
Non-customer analytics
- Ask what non customers do instead and why. The strongest opportunity often comes from removing a common barrier, not adding another feature for existing buyers.
- Define the current market and the three tiers. Use transaction data to identify lapsed or declining engagement, but do not infer reasons from absence alone.
- Recruit participants lawfully through panels, intercepts, community partners and transparent outreach. Use Quantitative Surveys, Qualitative Surveys, Focus Groups and Interviews. Do not scrape or target individuals from personal social posts merely because a purchase is visible. Obtain consent and protect privacy.
Watch for
- Do not recruit current customers and call the result non customer insight. Also avoid treating refusal as ignorance; it may be rational, ethical or structural.
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