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Here’s a pattern that repeats across Amazon accounts at every budget level: a seller launches campaigns, sets bids based on Amazon’s suggestions, and moves on. Six weeks later, ACoS is climbing, spend is up, and nobody can explain why. The keywords look fine. The listings look fine. The bids haven’t been touched since launch.

Amazon bid strategy involves an ongoing management system with three distinct levers, and most sellers are only using one of them.

It’s also not static: the right mix during a product launch looks very different from what a mature ASIN needs six months later. Get the structure right early, and you’re building toward lower TACoS over time. Get it wrong, and you’re optimizing campaigns that were set up to lose.

The Three Bidding Levers Amazon Gives You

Before getting into tactics, it helps to understand what you’re actually controlling.

Campaign type determines who picks the search terms: you (manual) or Amazon (automatic).

Bid type determines whether your bids are static or whether Amazon adjusts them in real time based on conversion likelihood.

Placement modifiers let you bid up or down for specific placements: top-of-search, rest-of-search, and product pages.

Most sellers manage campaign type and ignore the other two. That’s where budget leaks.

Automatic Campaigns: The Misunderstood Workhorse

Experienced sellers often dismiss automatic campaigns as beginner tools. That’s a mistake worth correcting.

Auto campaigns do one thing better than any manual campaign can: they find search terms you’d never think to test. Amazon’s algorithm has visibility into search behavior that no keyword tool fully replicates. Let it work.

What most sellers miss is that automatic campaigns contain four distinct targeting types (close match, loose match, substitutes, and complements) and Amazon lumps them together by default. Go into your ad group settings and set separate bids for each. Close match typically deserves the highest bid; loose match and complements often need to be dialed back significantly or excluded entirely.

The workflow that actually works: run auto campaigns at a controlled budget, pull the search term report weekly, and graduate converting terms into manual campaigns as exact match. Once a term has proven itself, it doesn’t need to stay in auto.

When to retire an auto campaign: when the search term report stops producing new viable terms and the proven winners have been migrated. Don’t keep feeding budget into auto campaigns indefinitely. They’re a discovery tool, not a permanent home for your best traffic.

On budget allocation: for a mature account, auto campaigns running above 20-30% of total PPC spend is usually a signal that budget is drifting toward discovery at the expense of controlled, profitable traffic. Treat that range as a starting benchmark, not a hard rule. New product launches are the exception — early on, heavier auto and broad allocation makes sense precisely because you’re still learning which terms convert.

Manual Campaigns: The Control Layer

Manual campaigns are where account structure actually matters. The match type you choose determines what you learn and what you pay.

Broad match is discovery mode. You’re casting wide, collecting data, and pruning aggressively. Broad match will surface irrelevant traffic, and that’s expected. Add negatives constantly. The goal isn’t efficiency; it’s finding phrase and exact match candidates faster.

Phrase match is the qualifier stage. You’ve narrowed the use case and you’re refining the specific phrasing buyers actually use. Phrase match campaigns typically run better ACoS than broad, but still require active negative keyword management. Left alone, they drift toward waste.

Exact match is where you deploy your best terms with maximum control. These are keywords that have proven they convert, and you’re willing to pay a higher CPC for that certainty. Exact match campaigns should have the tightest bids and the closest attention.

The lifecycle shift matters here. Early in a product’s life, broad and phrase match do the heavy lifting — you’re building a keyword library from real data. As that library matures, exact match should take on more of the budget and more of the conversions. An account where broad match is still dominant at month six usually means the graduation process stalled.

Negative keywords deserve more credit than they get. Most sellers add negatives reactively, after wasted spend shows up in the search term report. Build a negative keyword strategy before campaigns go live. Exclude obvious mismatches from day one, then refine weekly.

On running all three match types simultaneously: it works, but requires strict campaign isolation and consistent negative keyword management to prevent your match types from competing against each other. A funnel-down approach (graduating terms from broad to phrase to exact as they prove themselves) is cleaner for most accounts and easier to manage at scale.

Dynamic Bidding: What It Is and When Amazon’s Algorithm Helps (or Hurts) You

Dynamic bidding is one of the most consequential settings in Seller Central and one of the least understood. Here’s what each option actually does:

Dynamic bids, down only allows Amazon to reduce your bid in real time when a conversion seems unlikely. Your bid never goes above what you set, but it can drop. This is the safest starting point for most campaigns. You maintain a cost ceiling while letting Amazon avoid obvious waste.

Dynamic bids, up and down lets Amazon raise your bid in real time when it predicts a conversion is likely: by up to 100% for top-of-search placements, and up to 50% for all other placements. This can work well in established campaigns where Amazon has enough conversion data to make reasonable predictions. In new campaigns or accounts with thin history, it frequently overbids on low-quality traffic and inflates ACoS fast. Budget accordingly before enabling it.

Fixed bids remove Amazon’s real-time adjustments entirely. Your bid is your bid, regardless of conversion signals. This sounds limiting, but it’s useful for controlled testing: placement tests, bid threshold tests, or any situation where you need clean, consistent data without the algorithm introducing variables.

How to think about this across a product’s lifecycle: down-only is the right default for launches and early-stage campaigns, where conversion data is thin and Amazon’s predictions are least reliable. Up-and-down becomes a reasonable option once a campaign has 60+ days of history and is running at or below target ACoS. Fixed bids are situational — most useful when you’re running tests and need the algorithm out of the way.

Placement Modifiers: The Underused Bid Multiplier

Top-of-search placement consistently outperforms rest-of-search on conversion rate, often by a significant margin depending on category and product. Most sellers either ignore placement modifiers entirely or set a number and leave it.

The data you need is in your campaign reports. Pull placement performance and look at conversion rate and ACoS by placement type. If top-of-search converts at 15% and rest-of-search converts at 6%, those placements shouldn’t be getting the same bid.

To calculate the adjustment: if your base bid is calibrated to target ACoS at rest-of-search conversion rates, and top-of-search converts at 2.5x the rate, a placement modifier in the 50-100% range is a reasonable starting point. The math should drive the number for your specific account — treat that range as a benchmark to test against, not a target to hit.

Product page placement is worth separate analysis. For some ASINs (particularly those with strong cross-sell potential or in categories with weak competitor listings) product page placement performs well. For others, it’s budget going to browsing traffic that rarely converts. Run the report before assuming either direction.

One practical note on testing: changing placement modifiers on active campaigns creates noise in your data. If you’re running a placement test, give it a minimum of two weeks before drawing conclusions, and avoid changing bids or match types in the same window.

A Practical Bidding Workflow for Ongoing Optimization

Concepts don’t reduce ACoS. A repeatable weekly process does.

Here’s the five-step routine that covers most accounts:

Step 1: Pull the search term report. Flag new converting terms to graduate to exact match. Flag non-converting terms that have hit your click threshold (typically 10-15 clicks with no sale) for negation.

Step 2: Check keyword-level ACoS against your targets. Apply the bid adjustment formula to anything materially off: target ACoS divided by actual ACoS, multiplied by current bid. Don’t adjust by more than 20-25% in a single pass, and prioritize keywords with enough data to act on.

Step 3: Review placement performance by campaign. If top-of-search ACoS is running significantly below target, your modifier may be too conservative and you’re leaving volume on the table. If it’s running above target, pull it back. Same logic applies to product page placement.

Step 4: Audit dynamic bidding settings. Any campaign that has crossed 60 days of history and is running at or below target ACoS is a candidate for up-and-down bidding. Any campaign still gathering data or running above target should stay on down-only.

Step 5: Check auto campaign budget share. If auto is creeping above 20-30% of total spend on a mature account, redirect budget toward the exact match campaigns that have proven out. Rebalance accordingly.

The whole review, done consistently, takes 45-60 minutes for most accounts. Do it weekly.

Build the System, Then Work It

Amazon’s bidding tools give you more control than most sellers use. Auto campaigns find terms. Manual campaigns control them. Dynamic bidding adjusts in real time. Placement modifiers amplify what’s working. None of these work in isolation, and none of them manage themselves.

The sellers with the strongest PPC performance aren’t running more complex campaigns. They’re running cleaner ones with tighter feedback loops, and they’re adjusting the mix as products mature. Set up the structure, build the weekly cadence, and let the data tell you where to move next.

If you want to go deeper on the profitability side, our guide to ACoS vs. TACoS covers how to set targets that account for the full funnel, not just campaign-level returns.

How Canopy Management Can Help

If you’d rather have someone run the system for you, Canopy Management’s PPC team manages campaigns across brands at every stage of scale.

Canopy Management delivers end-to-end eCommerce growth, leading the industry in Amazon marketplace strategy while powering expansion through Shopify, Meta, and Google. Our full-funnel approach — from marketplace optimization to customer acquisition — has generated over $3.3 billion in partner revenue and made us the trusted growth engine for brands worldwide.

Schedule a strategy session with our team to discover exactly how our proven frameworks can accelerate your growth.

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