Vouchers or service: Where should you invest to bring customers back?

One shop, two different approaches

A hypothetical scenario: a coffee shop has made initial sales and wants customers to return. Some do not understand storage; some found their first choice unsuitable for their taste; others are satisfied but do not yet need replenishment. The shop is considering vouchers or spending time on guidance and renewed advice.

If price is the main barrier, an offer may be worth testing. If customers face usage difficulties, a discount may not solve them. Before choosing, collect feedback from customers who have had sufficient time to try the product. Do not infer motivation solely from the absence of a second order.

Calculate contribution, not just revenue

A hypothetical example, with all figures on a consistent basis and not an accounting report: an order has net revenue before incentives of VND 300,000; cost of goods and other variable costs total VND 210,000. Contribution is VND 90,000 before fixed costs. If a shop-funded voucher reduces revenue by VND 30,000 while other costs stay unchanged, contribution falls to VND 60,000.

If support adds VND 10,000 in variable costs to an equivalent order, contribution is VND 80,000. These calculations illustrate individual orders only; they do not prove which option is better because volumes and campaign costs may differ. Staff time must also be recorded; do not assume service is free.

Compare campaign scale using a simple model

Practical formula: campaign contribution = total net revenue after discounts and refunds − cost of goods for eligible orders − variable selling, delivery, and support costs − campaign-specific additional costs not already included. Avoid deducting the same cost twice. This contribution is not the business’s final profit.

Continuing the hypothetical example: the voucher option generates twenty orders contributing VND 60,000 each, or VND 1.2 million; the support option generates sixteen orders contributing VND 80,000 each, or VND 1.28 million, before separate costs not yet included. This is a mathematical illustration, not a forecast. More orders can mean lower contribution, but may also create future value outside a short observation window.

Design the experiment to reduce confusion

When enough suitable customers are available, choose groups similar in product, first-purchase timing, and experience status; randomly assign them where feasible. The baseline group continues receiving normal service, the second gets an additional offer, and the third gets additional support. Do not withdraw necessary support to create a comparison group.

Choose the observation window in advance according to the product cycle and record criteria: completed second-order rate, contribution per customer observed long enough, returns, and opt-outs. Record the whole campaign’s time and costs, including customers supported who have not bought. State small sample sizes or seasonal differences clearly when interpreting results.

When should you choose vouchers, and when service?

Vouchers are worth testing when the experience is already satisfactory, customers have a need, and the offer has a specific objective. Prioritize service when customers do not know how to use the product, have not found the right product, or are awaiting resolution of a problem. The two can be combined, but test each change first to know what is genuinely useful.

After the experiment, decide according to the initial objective and sustainability. If orders rise but contribution drops sharply, review offer conditions. If support helps but overloads the team, standardize guidance and ownership. Long-term value requires further observation; one messaging campaign cannot establish it.

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