Understand Placements · ScaleSKUs MCP Academy #05

Your ads appear in different places, and the most visible placement is not automatically the most efficient. Ask ScaleSkus to compare Top of Search, Rest of Search and Product Pages for the same campaign and reporting window. In this lesson, we will read orders and cost per order together, then decide what evidence we need before a placement test. Campaign twenty-seven recorded five hundred and fifty-seven Top of Search orders at one hundred and thirty-seven rupees fifty-six per order.

Rest of Search recorded one hundred and twenty-two orders at seventy-six rupees ninety-five. Product Pages recorded fifty-six orders at two hundred and forty rupees ninety-seven. Top of Search has the largest order volume, while Rest of Search has the lowest observed cost per order. A lower cost per order does not prove that moving all spending into that placement will preserve the same result.

The traffic mix and available volume can change. Ask what happens to total campaign orders, not just the placement percentage. Equally, expensive traffic should earn its place in the plan. Use the comparison to design a focused experiment instead of automatically paying more for the topposition. Before choosing an adjustment, retrieve the current placement multipliers and bidding strategy. The base keyword bid, placement adjustment and dynamic bidding settings can interact.

Read the saved values rather than assuming that an empty field is zero. A proposed placement change should specify the campaign, the placement, its current value and the new value. Your next step is a placement-test brief. Specify one adjustment, keep other changes limited, and define a comparable review period. Track placement orders and cost per order alongside total campaign spend, orders and sales.

For your practice task, choose one campaign and explain the trade-off between volume and efficiency. Bring that evidence to the approval decision before changing the multiplier.