11:48
Amazon PPC
Amazon sellers who don't actively set and tune placement (bid) modifiers for top of search, rest of search, and product pages are ceding the cheapest, highest-converting clicks to competitors, and mastering these modifiers — set at the campaign level, informed by ACoS and order-count data, and paired with isolating important keywords into their own campaigns — is presented as a core, ongoing lever for both profit and organic rank.
Sponsored product ads can appear in three main placements: top of search, rest of search, and product pages.
Placement modifiers let Amazon raise your base bid by a percentage for just one specific placement.
Top of search has the highest CTR and usually the highest conversion rate, is the most expensive, and has the biggest impact on driving organic rank.
Rest of search has lower CTR but is often much cheaper per click, making it a better fit when economics matter more than ranking impact.
Product pages has the least ranking impact but usually the cheapest clicks and least sales volume — the 'leanest' placement.
A new 2025 'business buyer' placement modifier raises bids to reach Amazon Business buyers specifically, who place larger and more frequent repeat orders.
Even keyword-targeted campaigns can show ads on product pages, and product-targeted campaigns can still show in keyword search results (top/rest of search).
The modifier max is 900%, but starting that high used to work and no longer does — it now disrupts Amazon's algorithm and campaign economics, so the video recommends starting at 20-40%.
Rest of search and product pages modifiers are generally left unboosted at campaign launch and only adjusted later using performance data.
Bid/placement modifiers apply at the campaign level, not the ad group or keyword level.
Important keywords should be isolated into their own single-keyword campaigns so their placement modifiers can be tuned independently.
Optimization is done by pulling a data window (e.g., last 30 days), then comparing ACoS and order counts across the three placements to decide which modifier to raise or lower.
You need statistically significant data (multiple orders/sessions) before trusting a placement's ACoS enough to act on it.
To reduce traffic to a placement already sitting at a 0% modifier, lower the overall campaign base bid and raise the other two placements' modifiers to compensate.
The video's stated case study: smart bid/placement adjustments were a primary strategy used to double a partnered brand's profit within one month.
Top of Search (TOS) placement modifier — A campaign-level bid adjustment that raises your bid by a percentage specifically for ads shown in the top-of-search slot, described as having the highest CTR and usually the highest conversion rate and cost. Apply: Start at 20-40% (not the 900% max) when the goal is to drive organic rank for an important keyword, then raise it over time based on performance data.
Rest of Search (ROS) placement modifier — A bid adjustment for ads shown in search results outside the top-of-search fold, described as lower CTR but often much cheaper on a cost-per-click basis. Apply: Leave unboosted at campaign launch and raise it later only once data shows it delivers good economics or meaningful sales.
Product Pages placement modifier — A bid adjustment for ads shown on product detail pages, described as having the least ranking impact but usually the cheapest clicks and lowest sales volume. Apply: Leave at default when launching a campaign and adjust later based on data, treating it as a lean cost-efficiency lever rather than a ranking lever.
Business Buyer placement modifier — A modifier described as new in 2025 that increases bids specifically to reach Amazon Business placements/buyers, who the video says tend to order larger quantities and repurchase more often. Apply: Raise this modifier when you want to provide extra incentive to reach business/bulk buyers rather than individual consumers.
Single-keyword campaign isolation — A campaign-structuring tactic where one important keyword is placed alone in its own campaign because placement modifiers apply at the campaign level, not the ad group or keyword level. Apply: Move any keyword you consider especially important for ranking or sales into its own dedicated campaign so its top-of-search/rest-of-search/product-pages modifiers can be tuned independently of other keywords.
Data-driven bid adjustment optimization — A recurring review process comparing ACoS and order counts by placement over a data window (e.g., last 30 days) to decide which placement modifiers to raise or lower. Apply: Compare each placement's ACoS and order volume and raise the modifier on the placement that best balances low cost with the sales/ranking outcome you're targeting, e.g., raising TOS by 30% when it produces the most orders and the second-lowest ACoS.
Statistical significance threshold before adjusting — The principle that a placement's ACoS figure shouldn't be trusted until enough orders/sessions have accumulated to be meaningful. Apply: Wait days or weeks as needed until multiple orders have come in for a placement before changing its bid modifier off a single data point.
Indirect placement-traffic reduction via base bid — A workaround for reducing traffic to a placement already at its 0% modifier floor, since modifiers cannot go negative. Apply: Lower the campaign's overall base bid, then raise the other two placements' modifiers to compensate, so effective bids hold steady everywhere except the targeted placement, which drops.
The video frames placement choice as a rank-vs-economics tradeoff rather than a simple cost-minimization problem: in the walkthrough example, product pages produce the cheapest clicks but the fewest sales and least rank impact, so the video argues for boosting top of search instead, since it's the second-cheapest ACoS while producing far more orders and ranking impact.
The 19% vs 1% click-through-rate gap cited between top of search and rest of search is used as the specific justification for prioritizing top of search's modifier over the cheaper rest-of-search placement.
Historically maxing out the top-of-search modifier near 900% was viable, but the video claims this recently stopped working and can now suppress ad delivery or distort economics — implying Amazon's ad algorithm behavior around modifiers has changed over time.
Because modifiers are campaign-level only, mixing multiple important keywords in one campaign silently prevents you from ever tuning placements per-keyword — the isolation-campaign tactic is presented as a structural workaround, not just an optimization preference.
Since modifiers can't go negative, the only way to actually pull traffic away from a placement already at its 0% floor is to cut the base bid campaign-wide and raise the remaining placements' modifiers to offset the cut everywhere except the targeted placement.
«without an understanding of how to use placement modifiers on your Amazon ads somebody else is taking all the best clicks and leaving you with the crappiest most expensive least converting ones»
— 00:00
«now what these placement modifiers do is it allows Amazon to increase your bid from that bid that you put further up when you created the ad a certain percentage for just that placement»
— 02:05
«you actually used to be able to do that but recently that just doesn't work anymore it like messes up Amazon's algorithm to think that it could nearly 10x your bid and it it can just mess up the economics or it can cause you not to be shown properly»
— 04:40
«so for very important keywords they need their own campaigns and this is the reason why»
— 06:34
«there's a 19% click theough rate for top of search and a 1% click theough rate for rest search»
— 09:19
«smart bid adjustments is one of the primary strategies we used to double the profit of this brand when we partnered with them within one single month»
— 10:25
Reception
Viewers are overwhelmingly appreciative and engaged, praising the strategy explanations and asking detailed follow-up questions with no negative feedback.
The video maps a concrete, campaign-structure-first framework for Amazon PPC placement modifiers, grounding each recommendation in a live example with real ACoS and order-count figures rather than staying abstract.
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