An order arrives late. The next invoice needs correcting. Then the customer has to chase a promised callback. Each issue gets resolved, but the customer starts sending orders elsewhere. By the time the account disappears from the sales report, the business may already have lost months of repeat orders and the introductions that customer used to make.
Look at the account across orders
A closed ticket tells you someone dealt with an incident. To see whether the relationship is weakening, link delivery exceptions, billing corrections and missed callbacks to the same account. Compare that history with the customer’s normal order rhythm. A weekly buyer who starts ordering monthly may be shifting part of its business even while the account remains active.
Referrals can slow before an account stops buying. A customer may keep ordering because switching takes time, while feeling less willing to recommend the supplier. Record who referred each new enquiry and follow it through to a first paid order. That helps distinguish fewer introductions from a problem converting them.
An illustrative case from an office supplies distributor
A customer normally places four orders a month. After recurring short deliveries and invoice corrections, it places two orders a month for the next quarter. In comparable periods it had introduced four prospects, of whom two placed a first paid order. This quarter it introduces one prospect, who places a first paid order.
Against that baseline, the distributor records six fewer repeat orders over the quarter and one fewer first order from referrals. Estimate the revenue gap using the account’s usual net order value for repeat purchases and a separate typical first-order value for referred buyers. Keep the two streams separate and deduct avoidable costs if estimating lost contribution. The baseline is an estimate. Ask the customer what changed and check for seasonality or purchasing changes before attributing the gap to service.
Measure the signs before the customer leaves
Repeat failure rate. Divide accounts with two or more logged service incidents in the period by all active accounts. Group incidents by cause so repeat problems can be assigned to the team that can fix them.
Reorder slippage. Track days since the last paid order against each account’s typical interval. Flag customers whose orders have gone quiet relative to their normal buying cycle.
Customer churn. Divide accounts that pass a defined inactivity threshold during the period by accounts active at its start. Set the threshold to fit the buying cycle and compare similar customer groups.
Referral yield. Count qualified referrals per 100 active accounts, then track the share that make a first paid purchase within a consistent follow-up window. Monitor missing referral sources so incomplete recording does not look like a decline.
Fix the recurring failure and check the next order
Give one person responsibility for contacting affected customers and another, where needed, for correcting the process. If short deliveries keep recurring, check picking and dispatch records and confirm what will change on the next shipment. Follow through on that order and watch whether the account returns to its usual buying rhythm. Review the same indicators after the fix to see whether the issue is still recurring.
If repeat orders or referrals are slipping, enquire with M&J Consultants for a tailored quote to review your service records, identify recurring failures and track whether corrective action restores repeat business.
