Real account result: We took a home & kitchen brand from 91% ACoS to 18% in 90 days. Monthly ad spend went from โน4.2L to โน3.8L while revenue grew from โน4.6L to โน21.1L. This guide is the exact playbook we ran.
Why ACoS Goes Out of Control
Most sellers don't have a bidding problem โ they have a structure problem. High ACoS is almost always caused by one or more of the following:
- Broad match keywords with no negatives โ Amazon matches your ads to irrelevant searches and you pay for clicks that never convert.
- Auto campaigns left running unsupervised โ Auto campaigns are great for discovery but terrible for efficiency when not harvested weekly.
- Duplicate keywords across campaigns โ Your own campaigns compete against each other, driving up CPCs.
- No match type separation โ Broad, phrase, and exact keywords sharing one budget dilutes data and prevents proper bid management.
- Listing doesn't convert โ Even perfect targeting fails if the listing page loses visitors. ACoS is a conversion ร CPC equation, not just a bid problem.
The 5-Step Framework
Step 01
Pull the Search Term Report โ All 90 Days
Go to Advertising โ Reports โ Search Term Report. Pull the last 90 days. You need at least 90 days of data to see statistically significant patterns. Sort by Spend descending. The top 20 rows by spend tell you 80% of what's wrong.
What to look for: Any search term with spend > โน500 and zero orders is a confirmed budget drain. Any term with ACoS > 3ร your break-even ACoS needs immediate action.
Step 02
Segment Into 4 Buckets
Sort every search term into one of four buckets:
- Scale โ Low ACoS (< target), 3+ orders. These become your exact match targets. Raise bids 15โ20%.
- Optimise โ Moderate ACoS (1โ2ร target), 1โ2 orders. Keep but reduce bids by 10โ15%.
- Watch โ High spend, no orders yet (<10 clicks). Too early to negate โ give it more data.
- Negate โ High spend (>โน300), zero orders after 15+ clicks. Add as exact negative immediately.
Step 03
Rebuild Campaign Structure
Delete or pause your existing campaigns and rebuild with this 3-campaign structure for each ASIN:
- Campaign A โ Exact Match (Performers): Only your confirmed scale keywords on exact match. Higher bids (110โ130% of suggested). Daily budget: 50% of total.
- Campaign B โ Phrase Match (Discovery): Your optimise-bucket terms + new keywords you want to test. Moderate bids. Budget: 30%.
- Campaign C โ Auto (Harvesting): Low bid, minimum budget. Run purely to find new search terms to harvest into Campaigns A and B. Budget: 20%.
Pro tip: Add all your negate-bucket terms as phrase-level negatives to Campaign C and as exact negatives to Campaign B. This prevents wasted auto spend immediately.
Step 04
Implement Dayparting & Weekly Bid Rules
Bids are not set-and-forget. Run these checks every Monday:
- Any keyword with ACoS > break-even for 2 consecutive weeks โ reduce bid by 20%
- Any keyword with ACoS < target ACoS for 2 consecutive weeks โ increase bid by 15%
- Any keyword with 0 impressions for 7 days โ bid is likely too low; increase by 25% or move to phrase
- Check Campaign C search terms weekly โ harvest any term with 2+ orders into Campaign A as exact match
Step 05
Fix the Listing Conversion Rate
Remember: ACoS = CPC รท (Price ร CVR). You can cut ACoS by improving CVR without touching bids at all. For the brand we took from 91% to 18%, their listing CVR went from 4.2% to 11.6% โ that alone cut ACoS by 40% before we touched a single bid.
The highest-impact listing fixes: Main image showing the outcome/use case (not just product on white), title front-loading the primary keyword and benefit within 80 characters, first bullet addressing the #1 objection, A+ content with comparison chart if you have variants.
The Timeline to Expect
Don't expect overnight results. The ACoS reduction curve typically looks like this:
- Week 1โ2: Negatives kick in, wasted spend stops. ACoS drops 20โ30% from the peak. Revenue may dip slightly as broad match volume reduces.
- Week 3โ4: New structure starts generating data. Exact match campaigns begin performing. Revenue stabilises.
- Month 2: First full month of weekly bid optimisation. ACoS should be at or below break-even. Revenue recovering.
- Month 3: Compounding effect. Good keywords are getting more budget, bad ones are gone. ACoS at target, revenue growing. This is when you scale spend.
Common mistake: Scaling spend in Month 1. The worst time to increase budget is before the structure is fixed. You'll just spend more on the same bad traffic. Fix structure first, then scale.
Calculating Your Target ACoS
Before you can know if your ACoS is "bad," you need to know your break-even. Here's the formula:
Break-even ACoS = (Selling Price โ COGS โ Amazon Fees) รท Selling Price ร 100
Example: Price โน999, COGS โน300, fees โน180 โ Break-even = (999โ300โ180) รท 999 = 51.9%
Target ACoS (for 20% net profit) = 51.9% โ 20% = 31.9%
Use our free ACoS calculator to get your numbers instantly.
Quick Checklist
- โ Search term report pulled for last 90 days
- โ Terms sorted into Scale / Optimise / Watch / Negate buckets
- โ Negate bucket added as exact negatives to all campaigns
- โ Campaign structure rebuilt into Exact / Phrase / Auto separation
- โ Weekly bid review calendar set (every Monday)
- โ Listing CVR checked โ main image, title, first bullet optimised
- โ Break-even ACoS calculated and documented
- โ Scale keywords on exact match with 110โ130% bid
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