Expert analysis · reviewed 6 Oct 2026

Share of wallet: measuring a customer's potential before trying to grow it.

SUPPORTED DECISIONConcentrate development effort on the customers with the largest gap between estimated total spend and captured spend, not on those who already buy the most.

Key distinctions

Three conditions before calculating.

01

What has been won is not what remains

A customer's revenue measures what they already buy. Share of wallet shows what they buy elsewhere, and therefore the real room for growth.

02

Total spend is estimated, not observed

With rare exceptions, a company sees only its own sales. Total spend is rebuilt from surveys, industry data or models based on the customer's size and activity.

03

A high share is defended, a low share is won

Customers with a high share mainly call for retention; those with a low share and high potential justify a development effort. The two do not call for the same actions.

Method

Measuring and using share of wallet in four steps

  1. 01Define the spending category

    Specify which of the customer's spending falls within scope — the whole category, or only the part the offer can really serve.

  2. 02Estimate total spend

    Rebuild the spend of each customer or segment from surveys, panels or a model linked to their size, and document the margin of error.

  3. 03Calculate share and potential

    Divide captured sales by estimated spend, then calculate the remaining potential in value, not only as a percentage.

  4. 04Allocate effort to potential

    Rank customers by remaining potential valued at margin, concentrate commercial or marketing effort on them, then measure its effect against a control group.

ORIGINAL ASSET

Same revenue, opposite potential

Four customers, their captured revenue and their estimated category spend. Remaining potential, expressed in value, reorders the priorities.

CustomerRevenue capturedEstimated category spendShare of walletRemaining potential
Customer A€40,000€50,00080%€10,000
Customer B€40,000€200,00020%€160,000
Customer C€10,000€15,00067%€5,000
Customer D€10,000€120,0008%€110,000
A and B weigh the same in revenue, but B leaves sixteen times more potential.

Remaining potential is an estimate: it is shown with its source and its margin of error.

ILLUSTRATIVE EXAMPLE · SIMULATED DATA

At equal revenue, a visit sixteen times more profitable

01 · SITUATION

Illustrative example: customers A and B each generate €40,000 of revenue. Their estimated category spend is €50,000 for A and €200,000 for B. Assume a sales visit captures 2% of the remaining potential, with a margin of 30%.

02 · CALCULATION

Customer A: (€50,000 − €40,000) × 2% × 30% = €60 of margin per visit. Customer B: (€200,000 − €40,000) × 2% × 30% = €960 of margin per visit.

03 · DECISION

At equal revenue, a visit to B brings in sixteen times more than a visit to A. Allocating visits in proportion to revenue would have split them equally between two customers with opposite potential.

Acceptance conditions

What must be true to act.

  1. 01

    Always express remaining potential in value, not only as a share.

  2. 02

    Document the source and margin of error of every estimate of total spend.

  3. 03

    Do not allocate development effort in proportion to current revenue.

  4. 04

    Distinguish retention actions, for high shares, from conquest actions, for low shares.

Limits

What this analysis does not prove.

  • A wrong estimate of total spend shifts every priority; it must be checked on a sample.
  • A low share may reflect a deliberate choice by the customer, such as a multi-supplier policy, which is hard to change.
  • Share of wallet says nothing about the margin the customer would leave on the potential won.
  • A customer's potential changes with their activity; it must be re-estimated regularly.

References

Works cited.

  1. Du, Kamakura and Mela (2007), Size and Share of Customer Wallet (opens in a new tab)
  2. Cooil, Keiningham, Aksoy & Hsu (2007), A Longitudinal Analysis of Customer Satisfaction and Share of Wallet (opens in a new tab)
  3. Keiningham, Cooil, Aksoy, Andreassen & Weiner (2007), The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Customer Retention, Recommendation, and Share-of-Wallet (opens in a new tab)