Most wasted Amazon ad spend doesn’t come from one big mistake, it comes from a handful of small inefficiencies compounding over months: broad match keywords nobody’s pruned, bids set once and never revisited, budget spread evenly across campaigns regardless of which ones actually convert. This covers the core optimization strategies that address those inefficiencies directly, from keyword-level cleanup to budget reallocation logic. For where automation tools fit into executing these strategies at scale, see Amazon PPC Automation.
Search Term Mining and Negative Keyword Strategy
Every campaign generates a search term report showing the actual queries that triggered an ad and in most accounts, a meaningful share of spend goes toward search terms that will never convert well, regardless of how long the campaign runs.
The process: pull search term reports at least weekly, sort by spend with zero or low conversions, and add those terms as negative exact or negative phrase matches depending on how broadly they should be blocked. The mistake most accounts make isn’t skipping this step entirely, it’s doing it once at campaign launch and never revisiting it, even as search behavior shifts with seasonality and competition.
A secondary layer worth building: negative keywords shared across campaigns for terms that are almost never relevant to the catalog at all (competitor brand names, unrelated product categories), applied at the ad group or portfolio level rather than re-added campaign by campaign.
How to Reduce ACoS on Amazon
Reducing ACoS isn’t one lever, it’s a sequence, and doing the steps out of order is why most sellers cut bids first and wonder why nothing improved. Here’s the order that actually moves the number:
- Isolate wasted search terms first. Before touching a single bid, pull last month’s search term report and find every term that’s spent real money with zero or near-zero sales. This is the fastest ACoS win available, and it costs you nothing but time.
- Add those terms as negatives at the right match type. A term that’s clearly irrelevant (wrong product entirely) gets blocked as a negative phrase match, so nothing similar slips through either. A term that’s borderline (right category, wrong use case) gets a tighter negative exact match instead, so you don’t accidentally block a variation that does convert.
- Only then, downshift bids on underperformers. Once wasted spend is cut, look at what’s left. Any keyword sitting above your target ACoS after three-plus weeks of consistent spend gets a bid reduction, not a pause. Pausing throws away ranking data you’ll need later.
- Split winners into their own exact-match campaigns. Once a search term proves itself converting well inside a broad or phrase campaign, move it into a dedicated exact-match campaign where you control the bid precisely, instead of leaving it competing for budget inside a broader pool.
- Repeat weekly, not monthly. This is the part most in-house teams skip. ACoS creeps back up fast once search behavior shifts with the season — a cadence that worked in October is stale by December.
The mistake to avoid: cutting bids across the board as a first move. That drops ACoS temporarily by starving the campaign of impressions, but it usually drops sales volume right along with it, which isn’t optimization, it’s just less advertising.
How to Improve TACoS on Amazon
ACoS tells you if a single campaign is efficient. TACoS tells you if your business is actually getting less dependent on ads over time — and it’s possible to have a great ACoS while your TACoS quietly gets worse, because TACoS measures ad spend against total revenue, organic included, not just what the ads themselves generated.
Here’s the relationship that matters: when ads are working the way they should, they don’t just produce a sale, they nudge the listing’s organic ranking up too, since Amazon’s algorithm weights sales velocity heavily. More organic ranking means more organic sales without ad spend attached, which pulls TACoS down even if ACoS stays flat. This is the ranking flywheel — ad spend buys rank, rank buys free sales, free sales lower your dependence on the ads that started the cycle.
Practical ways to improve TACoS:
- Track organic sales share weekly, not just ACoS. If organic revenue as a percentage of total revenue is climbing month over month, the flywheel is working, even if ACoS looks unchanged.
- Don’t punish a campaign for a “high” ACoS if it’s clearly driving rank movement. A keyword sitting at 35% ACoS that’s pushing a listing from page 3 to page 1 organically is often worth more than a 12% ACoS keyword that’s not moving rank at all.
- Expect TACoS to run higher during launch, and don’t panic about it. New products need aggressive ad spend to build the review base and sales history that eventually let organic traffic carry more weight. A launch-phase TACoS of 20-25% coming down to single digits by month four is a normal, healthy pattern.
- Watch for a rising TACoS on a mature listing. That’s the real warning sign — a product that’s been live for a year and still needs heavy ad spend to hit revenue targets usually has a conversion or ranking problem ads alone won’t fix.
When ACoS matters more than TACoS: short-term, campaign-level decisions — should this specific keyword’s bid go up or down this week. When TACoS matters more than ACoS: the bigger question — is this brand building sustainable, less ad-dependent sales, or just buying revenue every month it advertises.
| ACoS | TACoS | |
|---|---|---|
| Measures | Ad spend ÷ ad-attributed sales | Ad spend ÷ total sales (ad + organic) |
| Best used for | Campaign and keyword-level decisions | Brand-level, long-term health check |
| Normal to run high during | A single aggressive campaign test | Product launch phase |
| Warning sign | Consistently above target with no rank movement | Rising on a mature, established listing |
Bid Strategy by Placement
Amazon reports performance separately by placement top of search, rest of search, and product pages and conversion rates typically differ meaningfully across the three. A flat bid applied evenly across all placements almost always means overpaying in the lowest-converting placement while underbidding in the highest-converting one.
The fix is placement-specific bid adjustments, reviewed against actual placement-level conversion data rather than assumptions. Top-of-search often converts best for established, review-heavy listings, but for newer listings still building social proof, product page placements can sometimes outperform this varies by category and listing maturity, which is why the adjustment needs to come from the account’s own data, not a generic rule.
Campaign Structure by Product Lifecycle
A newly launched product and a mature, well-ranked listing need fundamentally different campaign approaches. New launches typically benefit from broader targeting and higher initial bids to build sales velocity and gather review data quickly, even at a higher short-term ACoS. Mature listings should shift toward efficiency tighter keyword targeting, lower bids on already-ranking terms, and budget concentrated on proven converters.
A common inefficiency: campaigns built at launch never get restructured as a product matures, leaving broad, expensive targeting running long after it’s needed.
Budget Reallocation Logic
Budget often stays static or evenly distributed across campaigns regardless of which ones are actually driving profitable sales. A more effective approach: rank campaigns by their contribution to profit (not just revenue or ACoS alone), and shift budget from the bottom-performing tier toward the top, revisited on a regular cadence rather than set once.
This requires watching ACoS and TACoS together rather than either alone a campaign can show a strong ACoS while contributing very little to overall account growth, and a slightly higher-ACoS campaign can be worth more budget if it’s driving disproportionate incremental sales.
When Optimization Alone Isn’t Enough
These strategies address inefficiency within an existing account and campaign structure — for the full picture of how ongoing campaign oversight fits into an account, see how our team structures day-to-day PPC management. They don’t fix underlying problems like poor listing conversion rate, catalog issues suppressing visibility, or an account structure that was never built correctly in the first place optimization on top of a broken foundation tends to produce diminishing returns quickly. If ACoS stays high despite consistent optimization, or scaling attempts keep increasing ACoS instead of maintaining it, that’s usually a sign the issue sits outside pure PPC strategy. → See The Hard Truth About Running Ads on Amazon to diagnose which is which.
FAQ
How often should negative keywords be updated?
At least weekly. Search behavior shifts constantly, and waiting longer means more wasted spend accumulating before it’s caught.
Should bids be the same across all placements?
No. Conversion rates typically vary by placement (top of search, rest of search, product pages), and bids should reflect that rather than applying a flat rate across all three.
What’s the difference between optimizing ACoS and optimizing TACoS?
ACoS optimization focuses on ad efficiency alone. TACoS optimization considers ad spend against total revenue, which better reflects whether the business is becoming more or less dependent on paid traffic over time both matter, but for different reasons.
