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A merchant has three plausible products for a reward campaign: a desk lamp, a premium chair and a cable-management kit. The chair has the highest price, the kit has the deepest stock and the lamp has the clearest use case. Choosing the lead product by one attractive metric can hide a more important constraint.
A weighted scorecard makes the decision explicit. It does not predict campaign performance. It records what the lead product needs to accomplish and how the available candidates compare under stated evidence and judgments.
Define what the lead product must accomplish
Start with the campaign’s purpose. In this fictional example, the merchant wants one product that can anchor a clear purchase proposition for a defined office-setup audience, with sufficient stock and contribution capacity to support the proposed benefit.
Set hard requirements before scoring preferences. A product with an unresolved safety issue, an unsupported purchase promise or unavailable stock should not win merely because other scores compensate for the problem. The weighted table applies only after candidates meet the merchant’s essential conditions.
For the remaining candidates, use five criteria: fit with the customer task, stock confidence, contribution capacity, clarity of the setup requirements and expected support burden. Assign weights of 30%, 25%, 20%, 15% and 10%. These are original decision weights for the example, not a universal merchandising standard.
The contribution input should reflect the merchant’s relevant costs. Shopify’s profit-report documentation can help identify product-margin data, but the score should not assume that product gross profit alone equals available reward budget.
Score a short list against commercial and stock constraints
Use a one-to-five scale, with five indicating a stronger fit for the defined criterion. Every score needs a short reason. The numbers below are fictional judgments to demonstrate the method, not measured product results.
| Criterion and weight | Desk lamp | Premium chair | Cable-management kit |
|---|---|---|---|
| Customer-task fit, 30% | 5: directly addresses the selected lighting need | 4: relevant but a larger purchase decision | 3: useful supporting task, weaker as the main offer |
| Stock confidence, 25% | 4: adequate depth in the selected variants | 2: limited availability in common configurations | 5: broad available stock in the example |
| Contribution capacity, 20% | 4: room for the proposed concept under the model | 5: strongest contribution dollars among candidates | 3: lower contribution dollars per order |
| Setup clarity, 15% | 5: simple prerequisites to explain | 3: more fit and assembly questions | 5: clear intended use |
| Support burden, 10% | 4: manageable anticipated questions | 2: more selection and delivery questions | 5: limited expected complexity |
| Weighted score out of five | 4.45 | 3.35 | 4.00 |
The lamp’s score is 5 × 0.30 plus 4 × 0.25 plus 4 × 0.20 plus 5 × 0.15 plus 4 × 0.10, totaling 4.45. The chair totals 3.35 and the kit totals 4.00 under the same weights.
The table explains why the highest-price product does not win. The chair’s contribution advantage is outweighed by weaker stock confidence and a more demanding purchase experience in this fictional campaign. The kit is operationally attractive but less suited to the intended lead role.
Do not mistake the decimal score for scientific precision. The weights and ratings are structured judgments. Their value is that a reviewer can challenge a reason or change a priority and see how the decision responds, rather than arguing over an unexplained preference.
The RebateCardX campaign overview can frame a discussion of the selected product and offer. It does not validate the scorecard or establish that a particular product category is approved. Program fit remains a specific confirmation.
A difficult case is a product with one strong variant and several weak ones. A high product-level stock score may hide poor availability in the configurations customers actually want. Score the proposed campaign scope, not the entire catalog family, and document any variant exclusions before selecting the lead.
Select the product and document the trade-offs
For the fictional merchant, the lamp is the preferred lead under the stated objective and weights. The decision record should explain why: strong task fit, adequate stock and a clear purchase experience, with acceptable modeled contribution. It should also acknowledge that the chair offers more contribution dollars and the kit has greater stock depth.
Test whether the result depends on a fragile assumption. If the lamp’s stock score falls from four to one, its total drops by 0.75 to 3.70, below the kit’s 4.00. That change would justify reassessing the choice. The sensitivity reveals a specific fact to validate before launch: stock confidence in the intended lamp variants.
Another test changes the campaign objective. If the business primarily wants to sell a large quantity of small accessories, the kit may become the appropriate lead despite the original ranking. The scorecard should follow the objective rather than being reused unchanged for every campaign.
Keep reward formula design outside this selection exercise. The scorecard may identify contribution capacity as a criterion, but it should not choose a percentage or cap merely to force one product to win. Select a supportable lead product, then evaluate the detailed offer economics through the relevant amount and budget worksheets.
A useful decision note could read: “Select the desk lamp for the defined office-lighting campaign, subject to confirmation of stock in the named variants and the approved reward arrangement. Retain the cable-management kit as an alternative if stock confidence changes. Do not lead with the chair solely because its price is highest.”
The practical output is a weighted lead-product scorecard with reasons, a selected candidate and the assumptions that could change the result. It gives the merchant a clear merchandising decision that can be reviewed before acquisition tactics or product-page work begin.
Discuss the product you want to lead your Shopify rebate offer. Discuss program fit.
Source references
This guide is general information, not financial, legal, tax or regulatory advice. Eligibility, card availability, permitted use and responsibilities depend on the applicable offer and card terms.