Updated 13 October 2026 · Business advisory and management in Tunisia
Loyalty programmes in Tunisia: linking benefits to profitability
A loyalty programme becomes useful when it encourages behaviour that strengthens the customer relationship while preserving a sufficient economic contribution. An increase in revenue can conceal excessive discount, service or administration costs.
In Tunisia, start with your customers, margins and operational capacity. A foreign statistic cannot predict your business’s results. The programme must be understandable, workable and measurable using your own data.
This approach covers selecting and testing benefits. Our article on customer loyalty explores the relationship, satisfaction and value over time in greater depth.
1. Choose the commercial problem to solve
First describe the situation: customers who do not return, purchases too far apart, low adoption of a category or difficulty maintaining a relationship after a first order. These problems need different responses. A points system does not fix an unsuitable product or a poor experience.
Review complaints and a few real customer journeys. Ask customers what prevents another purchase. Price may matter, but so may availability, lead times, uncertainty about service or a lack of information. These observations should precede the reward mechanism.
Specify verifiable behaviour: returning within a period consistent with product use, renewing a contract or buying a useful complementary category. Do not choose an objective that encourages unnecessary purchases or puts pressure on the customer.
Define the scope: channel, category, customer group and test duration. A period too short for the normal repurchase cycle will produce a weak conclusion. Record changes in price or availability that could influence the result.
2. Compare benefits by value and cost
An immediate discount is easy to understand, but directly reduces the sale’s contribution. A service can be perceived as useful while taking up time or scarce capacity. No benefit is free simply because it is not a price reduction.
| Benefit | Value for the customer | Cost to document |
|---|---|---|
| Discount | Visible price reduction | Lost margin and possible stacking |
| Additional service | Easier use or time saved | Time, materials and capacity |
| Priority access | Availability that meets a real need | Organisation and effect on other customers |
| Deferred reward | Benefit after a clear condition is met | Rewards redeemed and tracking of commitments |
The choice depends on purchase frequency and need. A business customer who orders infrequently may prefer suitable documentation or support to accumulating points that are difficult to use.
Present conditions clearly: eligible purchases, allocation, redemption, stacking and handling returns. Have the terms and accounting treatment checked by the relevant professionals for your situation.
3. Calculate contribution before promising benefits
Work on a consistent basis, such as the amount excluding tax when that is the basis used in your margin analysis. Distinguish the price, the sale’s variable cost and programme cost. Taxes must not be confused with available margin.
A transaction’s contribution after a benefit can be expressed as: the sales amount used minus the transaction’s variable costs minus the benefit’s cost. Then add setup, communication and administration expenses to examine the result of the entire test.
A benefit may reach customers who would have purchased at the same rate without the programme. In that case, the discount is a cost without a demonstrated additional purchase. Members’ total sales therefore do not, on their own, measure the economic effect of loyalty activity.
Prepare several assumptions: benefit redemption, basket value, frequency and processing costs. Do not present the favourable assumption as a certain forecast. A review of commercial strategy helps select decision criteria.
4. Prepare the necessary rules and data
Define how a customer is identified, how purchases are matched and how errors are corrected. One person may use several channels or contact details. Without rules, duplicates undermine tracking and the experience.
Limit collection to the information needed. Explain its uses and organise access, updates and deletion under the applicable rules. Programme membership must not become a pretext for indiscriminate data collection.
Prepare a scenario for each exception: a return, a benefit awarded twice, a forgotten account or an unavailable product. Teams must know the authorised response and who to involve in a disagreement.
Before launch, test a purchase, a redemption and a return from start to finish. Check what the customer sees, what the team sees and what enters the tracking system. A simple, controlled spreadsheet may suffice for the pilot; the choice of tool comes after the process.
5. Build a reasonable comparison
Define measures before the test: frequency, amount, contribution, complaints and operational cost. Track benefits awarded and redeemed too. A programme with little use may be poorly understood or fail to meet the need.
Compare periods and groups that are as consistent as possible. The most active members did not necessarily become active because of the programme: they may already have been your best customers. Record this limitation in every presentation.
A comparison with a relevant unexposed group can strengthen the analysis when volume and organisation allow it. Nevertheless, check initial differences, promotions and stockouts. A simple before-and-after comparison does not neutralise these factors.
Set a review rule: continue if the target behaviour improves with acceptable contribution and controlled service; adjust if usage is low; stop if cost exceeds plausible benefit. Thresholds depend on your economics, not a universal figure.
6. Fictional example: a reward that reduces margin
Fictional example in Tunisian dinars, with no tax or tax rule modelled. A retailer analyses a transaction of TND 100 on the basis used in its spreadsheet. Variable costs are TND 70. The initial contribution is therefore TND 30.
With a TND 10 benefit redeemed on the sale, contribution falls to TND 20 before administration costs. If the customer would have purchased anyway, the programme has reduced that contribution by TND 10. An increase in membership is not enough to justify this expense.
The retailer then considers an additional service costing TND 4 that helps prepare the product. It still needs to check perceived value, available capacity and the effect on repurchasing. Lower cost does not guarantee a better result.
The pilot tracks transactions, usage and costs over a duration compatible with the purchase cycle. The decision concerns plausible additional contribution and service quality, without extrapolating these fictional amounts to the Tunisian market.
7. Decide what comes next and answer common questions
The review should bring together the relevant commercial, operational and financial managers. Present observations, limitations and full costs. A summary showing only members’ purchases encourages a misleading decision.
Keep the test rules and a record of changes. If you change the price, benefit and communication simultaneously, it becomes difficult to understand what caused the change. Where possible, favour an identifiable change at each stage.
Does a programme have to use points?
No. Points are one possible mechanism. Choose it if it remains understandable and suits the purchase cycle.
Does a deferred reward cost less?
Its cost depends, among other things, on redemption, administration and associated commitments. Have its accounting treatment examined; do not treat it as a nonexistent expense.
Can we announce an expected sales increase?
Present test assumptions with their conditions. Another business’s result is not a promise for yours.
Link your programme to its economic value
Socials Analytica helps you define the target behaviour, compare benefits and prepare a review based on costs, usage and the customer relationship. Legal and accounting rules are examined with the relevant professionals.
Sources and references
Documentation consulted on 13 October 2026. Methods and illustrative examples are provided by Socials Analytica.
