Seller playbook

Weekly Seller Review Playbook

Most seller problems become expensive when they are noticed too late. This weekly review playbook helps operators catch margin, traffic and inventory issues before they compound.

When to use this playbook

A seller has several live products and multiple traffic sources. Instead of reacting to daily revenue swings, the seller needs a repeatable weekly review that connects metrics to decisions.

This playbook is useful when the next decision has financial consequences. It helps you slow down enough to separate real contribution margin from optimistic launch assumptions. Use it before raising spend, placing a reorder, approving a coupon, changing a listing or moving a product into another marketplace.

Step-by-step workflow

1. 1. Review product contributionCheck whether each main product still earns contribution profit after fees, returns and ad spend.
2. 2. Review campaign qualityCompare cost per order, ROAS, ACoS and profit after ads by campaign type.
3. 3. Review listing healthLook for conversion changes, review issues, unclear offers or image problems.
4. 4. Review inventory timingCompare daily orders with days of stock and reorder lead time.
5. 5. Choose one action per productEach product should have a next action: scale, maintain, improve, pause or retire.

Planning table

How to read the result

The output should become a decision rule, not just a saved number. If the numbers show enough contribution room, the seller can test the next step with a clear limit. If the numbers are weak, the seller should improve price, cost, listing quality, bundle structure or traffic efficiency before scaling. A good review also records what is unknown, because unknown costs often become real costs after launch.

After the decision is made, revisit the playbook with actual data. Replace estimates with real order, payout, campaign and return information. The value of a playbook grows when it becomes part of a repeatable review habit rather than a one-time document.

Common mistakes

Daily dashboards encourage reactive decisions. A weekly review gives enough time for signal while still catching problems early. The goal is not to review every number; it is to choose the few actions that protect profit.

Related tools and guides

How to turn this page into an operating habit

Do not use this resource only once. The value comes from repeating the same review after new information arrives. Start by recording the current assumption, the source of the number and the date it was checked. Then decide which number is most likely to change the conclusion. For Weekly Seller Review Playbook, the most important lens is usually product economics. That means the seller should review selling price, product cost, fulfillment cost, platform fees, return allowance and ad spend before treating the result as reliable.

A product that appears profitable at gross margin level can become weak after fees, returns, discounts and acquisition cost are included. A good review does not need to be complicated. It needs to be consistent. Use the same rows, the same definitions and the same decision threshold each time. When the product changes, update the assumptions rather than starting from memory.

Seller review notes

The next practical step is to build base, conservative and scale scenarios before making a larger commitment. Write down the answer in a short note: continue testing, improve the offer, reduce spend, adjust price, delay inventory or pause the product. This written decision matters because ecommerce dashboards can change quickly. Without a note, it is easy to forget why a product was approved or rejected.

If several people work on the same store, use the note as a shared decision record. The operator, media buyer and sourcing person should be able to see the same assumptions. That makes the resource more useful than a private calculation because it turns numbers into a team workflow.

Questions to answer before acting

• Which input is estimated rather than confirmed by real store data?
• What happens if acquisition cost is 20% higher than expected?
• What happens if returns, refunds or shipping cost increase?
• Is the decision based on one product, one campaign or enough data to be trusted?
• What specific action will be taken if the result is below target?