PPC AI Optimizer
Let SellerMagnet's AI continuously monitor and optimize your Amazon PPC campaigns, from bid adjustments and keyword management to budget allocation and anomaly detection.
Difficulty: 🔴 Advanced · Reading time: ~15 min
Open this page in your dashboard: Go to PPC AI Optimizer [BETA] →
BETA: The PPC Manager is currently in beta. Some features may behave unexpectedly or change based on user feedback. Please report any issues at info@sellermagnet.com.
📋 Overview
The AI Optimizer (also called AI Autopilot) is SellerMagnet's most advanced PPC feature. It continuously analyzes your campaign data and generates smart recommendations : from keyword-level bid adjustments to campaign budget reallocation and anomaly detection. Depending on your automation mode, these suggestions are applied automatically or sent to your Approval Center for review.
The AI Optimizer is not a black box. Every recommendation comes with a confidence score, a human-readable explanation, and a projected impact estimate so you always understand why a change is suggested and what to expect if you approve it.
What "Autopilot" means here. "AI Autopilot" refers to recommendations the AI applies automatically, the behavior you get in Auto-Apply mode. In Manual Review mode nothing is applied on its own: suggestions wait in the Approval Center until you approve or reject them. The mode is set by your Approval Mode in PPC Settings (Manual Review / Auto-Apply / Paused). When a change is applied automatically, it is recorded in the Activity Log with AI Autopilot as its source, so you can always tell auto-applied changes apart from ones you approved manually. Whichever mode you choose, every change still passes through your safety guardrails (Min/Max Bid and daily change limits) on its way to Amazon.
Prerequisites: Before using the AI Optimizer, make sure you have completed the setup on the PPC Settings page, specifically your Target ACoS (Advertising Cost of Sale), bid boundaries, and approval mode. The AI uses those values as guardrails for every recommendation it generates.
🎥 Video Walkthrough
Video tutorial coming soon. A full guided walkthrough of this feature will be available here shortly.
Strategy Selection
Choose how aggressively the AI should optimize. Your strategy selection tells the AI what to prioritize when making trade-offs between impressions, clicks, sales volume, ACoS, and profit.
Balanced (default)
Equal weight on growth and profitability
Even balance of sales volume and ACoS control
Most sellers, good all-around starting point
Aggressive / Growth
Maximize impressions, clicks, and sales volume
Visibility and market share, even at higher ACoS
Product launches, category expansion, ranking pushes
Conservative / Profit
Minimize ACoS and protect margins
Low-waste spending, pausing underperformers
Mature products with stable demand, margin-sensitive sellers
Profit Maximizer
Maximize net profit per keyword (revenue minus ad cost)
Absolute profit, not percentages
Sellers who know their exact COGS (Cost of Goods Sold) and want dollar-optimized returns
Select your strategy in the hero section at the top of the page. The AI adjusts its optimization logic, bid aggressiveness, and keyword management behavior accordingly.
Strategy Comparison: Detailed Breakdown
Bid increase frequency
Moderate
High
Low
Variable (profit-dependent)
Bid decrease frequency
Moderate
Low
High
Variable (profit-dependent)
Keyword pause threshold
ACoS > 2x target for 14+ days
Rarely pauses
ACoS > 1.5x target for 7+ days
Negative profit for 14+ days
Keyword harvesting
Active
Very active
Selective
Selective (high-margin terms only)
Budget reallocation
Balanced across campaigns
Shifts toward highest-impression campaigns
Shifts toward lowest-ACoS campaigns
Shifts toward highest-profit campaigns
Negative keyword suggestions
Moderate
Conservative (avoids blocking potential traffic)
Aggressive (blocks anything above target)
Profit-based (blocks anything unprofitable)
Risk tolerance
Medium
High
Low
Medium
Typical ACoS outcome
Near target
Above target (by design)
Below target
Variable, optimizes for dollars, not percentages
Pro Tip: You can change your strategy at any time. The AI re-evaluates all campaigns within one optimization cycle (typically within 24 hours). A common approach: start with Aggressive during a product launch to build keyword data, then switch to Balanced once you have 30+ days of data, and finally move to Conservative or Profit Maximizer for mature products.
Important: Switching strategies does not undo previous changes. If the Aggressive strategy increased bids on 50 keywords yesterday, switching to Conservative today does not automatically roll those bids back. The Conservative strategy will evaluate those keywords fresh and may suggest decreases in the next cycle.
AI Status Panel
The status panel at the top of the page gives you a real-time view of the AI's operational state.
Current Mode
Manual Review / Auto-Apply / Paused
Ensure this matches your intended level of automation
Active Strategy
Which optimization strategy is currently selected
Verify this aligns with your current business goals
Last Optimization
Timestamp of the most recent AI analysis run
If stale (24+ hours), check sync schedule and API status
Next Scheduled Run
When the AI will analyze data next
Helpful for planning review sessions
Pending Actions
Number of recommendations awaiting your decision
High numbers mean the Approval Center needs attention
Actions Applied (Last 7 Days)
Count of changes executed in the past week
Gives you a pulse on AI activity level
System Health
Green (healthy), Yellow (delayed), Red (error)
Yellow or Red requires attention, see Troubleshooting
Quick Win: Bookmark a time each morning to check the AI Status Panel. A 2-minute glance tells you whether everything is running smoothly or if something needs attention.
📊 Portfolio Health Score
The AI Optimizer summarizes your account's overall PPC health as a single 0--100 score, color-coded from red (needs work) through amber and blue to green (healthy). It is an equal-weighted blend (25% each) of four sub-scores:
ACoS vs target
How your achieved ACoS compares to your Target ACoS
Conversion
Your portfolio conversion rate (CVR)
Efficiency
The share of your spend that is profitable
Data quality
How much of your portfolio has enough click data to judge
The score is shown alongside (and is distinct from) the per-keyword average score and the period momentum trend.
The Score Is Graded Relative to Your Target ACoS
This is the single most important thing to understand about the score: the ACoS component is graded against your Target ACoS, not against an absolute benchmark. That means a healthy, profitable account can read "Critical" purely because its Target ACoS is set far below what it is actually achieving.
A "Critical" score is not always bad, check your Target ACoS first. If your Target ACoS is set implausibly low (for example 5%) while your account is genuinely achieving a healthy 11%, the score grades every profitable keyword as "too expensive" and drags the whole portfolio down. The AI surfaces a warning in exactly this case, telling you the target you set versus the ACoS you are achieving and suggesting you raise the target if that low value was not intentional. Before reacting to a low score, confirm your Target ACoS reflects your real margins.
Read the score with confidence and data volume in mind. A score built on thin data is less trustworthy than one built on thousands of clicks. The individual recommendations carry their own confidence levels and click-count notes, weigh those alongside the headline score rather than treating the number as an absolute verdict.
Smart Recommendations
The AI generates several types of recommendations, each shown as an actionable card in the Approval Center (Manual Review mode) or executed automatically (Auto-Apply mode).
Recommendation Types
Bid increases
Raise bids on high-converting, profitable keywords that can capture more traffic
Daily to weekly
Bid decreases
Lower bids on high-ACoS or underperforming keywords to reduce waste
Daily to weekly
Keyword pauses
Pause keywords with consistently poor performance (high spend, zero or near-zero conversions)
Weekly
Keyword harvesting
Promote high-performing search terms from auto campaigns into manual campaigns as exact or phrase match keywords
Weekly
Budget reallocation
Shift budget from low-ROI campaigns to high-ROI campaigns to maximize overall portfolio efficiency
Weekly to biweekly
Negative keywords
Block search terms that generate clicks but no conversions, wasting ad spend
Weekly
Placement adjustments
Modify Top of Search or Product Pages bid modifiers based on placement-level performance data
Biweekly
Campaign state changes
Enable or disable entire campaigns based on aggregate performance trends
Rare, only when a campaign is clearly failing or succeeding
Recommendation Card Details
Each recommendation card displays:
Type icon and descriptive title (e.g., "Increase bid for 'wireless charger stand'")
Affected items count (e.g., "12 keywords across 3 campaigns")
Estimated impact: Projected ACoS change, estimated additional sales, or estimated spend savings
Confidence score: Data reliability percentage (higher = more historical data supports the recommendation)
Reasoning: Plain-language explanation of why the AI is suggesting this change
Action buttons : Approve (apply the change), Preview (expand to see all affected keywords/campaigns), Reject (dismiss with optional feedback)
Pro Tip: When you reject a recommendation, use the optional feedback field to tell the AI why. For example: "This keyword is for a seasonal product, keep bid as-is until Q4." The AI uses rejection feedback to refine future suggestions.
Scenario: Reviewing a Bid Increase Recommendation
You open the Approval Center and see a recommendation: "Increase bid on 8 keywords in Campaign 'Wireless Chargers - DE'". You click Preview and see:
The AI explains: "These keywords are converting well below your Target ACoS of 25%. Increasing bids should capture more impressions at profitable CPCs."
You approve the recommendation. The bids are updated in Amazon Ads within 15 minutes.
wireless charger stand
0.85
1.05
+24%
18%
16%
92%
qi charger desk
0.62
0.78
+26%
22%
19%
87%
fast wireless charger
1.20
1.45
+21%
15%
14%
95%
Estimated Savings & Growth
The AI Optimizer summarizes the projected upside of its recommendations as two headline figures, estimated savings (mainly from bid decreases and negations that cut waste) and estimated growth (additional sales from scaling profitable terms). The savings figure is derived from the size of the suggested bid reductions projected forward, so you can gauge the value of acting on the decrease suggestions before you approve them.
Mixed currencies are not directly comparable. If your account spans multiple marketplace currencies, the savings and growth totals are summed across currencies and are flagged as not directly comparable. Select a single marketplace for an accurate figure.
Duplicate Keyword Detection
The AI can detect the same keyword running across multiple campaigns or ad groups, where your own campaigns end up bidding against each other for the same term. When it finds duplicates, it offers a one-click action to pause the duplicates and keep the best-performing instance enabled (the confirmation reads "N duplicate keywords will be paused. The best-performing instance stays enabled.").
Why this saves money: When the same term lives in two campaigns, you can negate a wasteful query in one and still bleed spend on it through the other. Consolidating to the single best-performing instance closes that gap and removes self-competition across your portfolio.
Performance Insights
The AI generates plain-language insights based on your campaign data. These are not actionable recommendations, they are observations designed to help you understand what is happening and why.
Categories of insights:
Key Findings: e.g., "Your top 5 keywords drive 60% of total sales but only account for 35% of spend, these are your most efficient performers"
Optimization Opportunities: e.g., "3 keywords have ACoS above 50% and have spent more than 20 combined with zero conversions in the last 14 days"
Anomalies Detected: e.g., "CTR dropped 25% on Monday across Campaign 'Bluetooth Speakers - US', investigate potential listing suppression or competitor activity"
Trend Analysis: Yesterday vs. today, week-over-week, and month-over-month changes in key metrics (spend, sales, ACoS, impressions, CTR)
Competitive Signals: e.g., "Average CPC for 'portable speaker' has increased 18% in the last 7 days, competitor bidding activity may be rising"
Tip: Performance Insights update after each optimization run. Read them before reviewing recommendations, they provide the context you need to make faster approve/reject decisions.
Keyword Optimization Table
A detailed, sortable, filterable table of all AI-suggested bid changes for the current cycle.
Keyword
Keyword text and match type (Exact, Phrase, Broad)
Campaign / Ad Group
Parent campaign and ad group
Current Bid
Your current bid in Amazon Ads
Suggested Bid
AI-recommended bid
Change
Percentage and absolute change (e.g., +15%, +0.12)
Current ACoS
ACoS for this keyword over the lookback period
Projected ACoS
Estimated ACoS after the bid change is applied
Clicks (Period)
Total clicks during the lookback period
Conversions (Period)
Total conversions during the lookback period
Confidence
AI confidence level (0--100%) based on data volume and consistency
Reason
Human-readable explanation of the recommendation
Status
Pending, Approved, Rejected, Applied
Bulk actions: Select multiple keywords using checkboxes and approve or reject them in batch. You can also filter by recommendation type, confidence level, campaign, or ACoS range to focus on the most impactful suggestions first.
Best Practice: Sort by Confidence (descending) and approve high-confidence suggestions first. These are backed by the most data and carry the lowest risk. Review lower-confidence suggestions more carefully, they may be based on limited clicks or short time periods.
Budget Allocation Suggestions
The AI analyzes your entire campaign portfolio and recommends budget shifts to maximize overall efficiency.
Current Allocation: Pie or bar chart showing how your daily budget is distributed across campaigns today
Recommended Allocation: Where the AI suggests reallocating spend, with specific dollar amounts
Projected Impact: Estimated sales increase, ACoS improvement, or profit gain from the reallocation
Reallocation Details: Table showing each campaign's current budget, suggested budget, and the net change
Actions: View Details, Apply Recommendation, Dismiss
Scenario: Budget Reallocation Across EU Campaigns
You have 5 campaigns across DE and FR with a total daily budget of 200.
The AI projects that this reallocation would increase total portfolio sales by 12% while reducing overall ACoS from 24% to 21%.
DE - Exact Match
60
80
+20
Highest ROAS campaign (4.2x), limited by budget
DE - Broad Match
50
35
-15
High ACoS (38%), diminishing returns
DE - Auto
30
25
-5
Sufficient for discovery; excess goes to Exact
FR - Exact Match
40
45
+5
Growing market, strong conversion rate
FR - Auto
20
15
-5
Low volume, adequate at reduced budget
Important: Budget reallocation suggestions are based on recent performance trends. If you are planning a promotion, product launch, or seasonal push for a specific campaign, consider that context before applying the recommendation. The AI does not know about your future marketing plans.
Anomaly Detection
The AI continuously monitors your campaign data for unusual patterns that may indicate problems requiring immediate attention.
CTR drop
Sudden click-through rate decrease on a campaign or keyword set
Medium to High
Spend surge
Unexpected spike in daily spend (e.g., 2x normal level)
High to Critical
Impression drop
Significant decrease in ad impressions (possible listing or keyword issue)
Medium
Budget exhaustion
Campaign hitting daily budget cap before midday
High
Conversion rate drop
Sharp decline in conversion rate (possible listing, pricing, or stock issue)
High
Quality issues
Impression share dropping for key terms (competitors outbidding you)
Medium
CPC spike
Average CPC jumps significantly (possible competitor bid war)
Medium
Each anomaly shows:
Severity: Critical (red), High (orange), Medium (blue), Low (gray)
Timestamp and affected entity (campaign, keyword, or ad group)
Metric details: What changed, by how much, and compared to what baseline
Suggested remediation: AI-recommended action to address the anomaly
Approve / Dismiss buttons
Critical anomalies require immediate attention. A spend surge or budget exhaustion flagged as Critical means your advertising budget may be draining faster than expected. Review these within hours, not days.
Tip: Not all anomalies are bad. A sudden impression surge after launching a Lightning Deal is expected behavior. Use the Dismiss button to tell the AI this anomaly is not a concern, which helps it calibrate future detection sensitivity.
💡 Opportunities: Products Worth Advertising
Beyond optimizing existing campaigns, the AI Optimizer surfaces Opportunities, products in your catalog that are not yet being advertised (or are under-advertised) but look like strong candidates for a campaign. Each opportunity is scored 0--100 and sorted into a tier:
STAR
Strongest candidates, advertise these first
GROWTH
Solid candidates with room to scale
TEST
Worth a small, controlled test
SKIP
Not recommended right now
Each opportunity card shows the supporting evidence, sales rank, margin, profit per unit, units sold, sales velocity, and days of cover, along with a projected outcome (suggested budget, estimated sales, ACoS, implied ROAS, orders, and bid) and a confidence level.
Products are automatically excluded with a clear reason when they are not eligible, for example: Already advertised, Listing inactive, Missing price, No stock, No organic sales (30d), or Negative margin. You can also export the opportunities list (CSV or Excel) with the tier, score, suggested template, suggested budget, and the daily sales/orders/ACoS estimates.
Pre-Flight Estimate (Before You Launch)
When you choose to create a campaign from an opportunity, a Pre-flight estimate modal opens before anything is created, so you see the economics first.
The pre-flight estimate covers:
Economic impact : projected daily spend, the 30-day spend range, projected 30-day revenue lift, implied ROAS, and estimated orders and clicks per day
Profitability : projected net profit over 30 days (revenue lift × product margin, minus ad spend) and a comparison of your break-even ACoS vs Target ACoS, with a headroom badge that warns when your target sits above break-even
Risk and confidence : Low / Medium / High labels, plus the evaluation window the estimate is based on
Campaign setup preview : the template, daily budget, default bid, and Target ACoS that would be used
Keyword seeds : the proposed keywords (a mix of Amazon recommendations and proven winners)
Conflict detection : keywords that already appear in a sibling campaign are flagged ("keyword bleed") so you do not create internal competition
From the modal you can Continue to review, Pick a different preset, or Cancel.
Why the pre-flight step matters: It turns "should I advertise this product?" into a numbers-backed decision. Check that the projected net profit is positive and that your Target ACoS sits below break-even (headroom) before continuing, and watch the keyword-bleed flags so a new campaign does not cannibalize an existing one.
Optimization History
A time-series chart showing the cumulative impact of AI optimizations over time:
Total Spend (line): How your daily/weekly spend has changed
Total Sales (line): Revenue attributed to PPC campaigns
ACoS Trend (line): Advertising cost of sale over time
Orders (bars): Number of orders per period
AI Actions Applied (markers): Dots on the timeline showing when the AI made changes
This visualization helps you answer the critical question: "Is the AI making my campaigns better over time?"
Before/After: AI Optimizer Impact Examples
Example 1: Mature Product Portfolio (Conservative Strategy, 60-Day Window)
Average ACoS
32%
22%
-10 percentage points
Monthly Ad Spend
4,200
3,600
-14%
Monthly PPC Sales
13,100
16,400
+25%
Wasted Spend (zero-conversion keywords)
890/month
210/month
-76%
Active Keywords
620
485 (135 paused by AI)
Quality over quantity
Example 2: Product Launch (Aggressive Strategy, 30-Day Window)
Average ACoS
55%
42%
-13 percentage points
Daily Impressions
8,500
22,000
+159%
Monthly PPC Sales
1,200
4,800
+300%
Keywords Harvested from Auto
0
47 new exact match keywords
Expanded manual targeting
Organic Rank (main keyword)
Page 4
Page 1, position 8
PPC-driven ranking improvement
Note: Results vary based on product category, competition level, and starting campaign quality. The examples above are based on aggregated anonymized data from SellerMagnet users. Your results may differ.
Configuration
These settings are also accessible from the PPC Settings page. Changing them here has the same effect.
Strategy
Optimization approach: affects all AI decisions
Balanced, Aggressive, Conservative, Profit Max
Lookback Period
How far back the AI looks when analyzing performance
7, 14, 30, 60, or 90 days
Run Schedule
How often the AI analyzes data and generates recommendations
Every 6 hours, Daily, Every 3 days, Weekly
Blackout Dates
Days when no automated changes should be made
Date picker
Daily Change Limit
Maximum percentage a single bid can change per day
5%--50% (default: 20%)
Minimum Data Threshold
Minimum clicks before the AI will suggest changes to a keyword
5--100 clicks (default: 10)
Best Practice: Set the Minimum Data Threshold to at least 10 clicks. Suggesting bid changes on keywords with only 2--3 clicks is statistically unreliable and can lead to premature pauses of potentially good keywords.
Recommended Strategy by Seller Type
New seller, first product
Aggressive
7 days
Daily
Prioritize data collection and visibility
Established seller, stable catalog
Balanced or Conservative
14 days
Daily
Focus on efficiency and incremental improvement
High-volume seller (100+ daily orders)
Profit Maximizer
14--30 days
Every 6 hours
Dollar-optimized with frequent re-evaluation
Seasonal seller (holiday/Q4 focus)
Aggressive pre-season, Conservative in-season
7--14 days
Daily
Switch strategies as the season progresses
Agency managing 10+ clients
Per-client (typically Balanced start)
14 days
Daily
Use Manual Review for all client accounts
Private label launching new ASIN (Amazon Standard Identification Number)
Aggressive for 30--60 days, then Balanced
7 days
Daily
Build keyword data fast, then optimize
⚠️ Common Mistakes to Avoid
Never reviewing AI suggestions (leaving hundreds pending)
The AI cannot learn your preferences; suggestions become stale and irrelevant
Set a daily or weekly review cadence; approve or reject every suggestion
Using Aggressive strategy on a low-margin product
AI prioritizes volume over profitability, you may drive sales at a loss
Switch to Conservative or Profit Maximizer for low-margin products
Setting Lookback Period too short (7 days) on stable products
Short windows amplify noise, a single bad day skews all suggestions
Use 14--30 days for products with consistent demand
Ignoring anomaly alerts
A spend surge or CTR drop can waste hundreds in hours if left unchecked
Enable notifications and respond to Critical/High anomalies within 24 hours
Approving everything without reading the reasoning
Teaches the AI that all suggestions are good, even ones based on limited data
Read the confidence score and reasoning; reject low-confidence suggestions you are not sure about
Running Auto-Apply without setting a Daily Change Limit
Bids can swing dramatically in a single day, destabilizing campaign performance
Always set a Daily Change Limit (20% is a safe default) before enabling Auto-Apply
Expecting results in 48 hours
The AI needs at least 1--2 optimization cycles (and sufficient historical data) to generate meaningful recommendations
Give the AI at least 14 days of campaign data and 2--3 optimization cycles before evaluating its effectiveness
## 🔧 Troubleshooting
AI Not Generating Recommendations
"Insufficient data" message
Less than 14 days of campaign data available
Wait for more data to accumulate; ensure sync is running
Zero pending actions for 7+ days
Approval mode may be set to Paused
Check PPC Settings, switch to Manual Review or Auto-Apply
Recommendations only for some campaigns
Other campaigns have too few clicks to meet the Minimum Data Threshold
Lower the threshold or wait for more traffic; consider increasing bids to generate clicks
Strategy card shows "Inactive"
AI Optimizer may be disabled at the account level
Check the main toggle at the top of the AI Optimizer page
Unexpected AI Behavior
AI suggesting bids above your comfort level
Max Bid in Settings is too high for your risk tolerance
Lower the Max Bid ceiling in PPC Settings
AI pausing keywords you want to keep
Keywords have ACoS far above your Target ACoS and the AI's pause threshold
Either increase your Target ACoS or manually un-pause the keyword and reject the suggestion (the AI will learn)
AI not suggesting changes for a specific campaign
Campaign may be excluded, paused in Amazon, or have insufficient data
Verify the campaign is active in Amazon Ads and has enough clicks in the lookback period
Projected impact estimates seem too optimistic
Projections are based on historical trends and assume stable competition
Treat projections as directional estimates, not guarantees, actual results may vary by 20--30%
System Health Issues
System Health shows Yellow (delayed)
Sync delay or high processing load
Usually resolves within a few hours; check API Status in PPC Settings
System Health shows Red (error)
API connection issue, expired token, or Amazon Ads outage
Check PPC Settings > API Status for error details; reconnect if token is expired
"Last Optimization" timestamp is 48+ hours old
Run schedule may be set to Weekly, or a sync error is blocking the pipeline
Verify sync schedule and API status; click Sync Now to force a refresh
❓ FAQ
How long does it take for the AI Optimizer to show results?
Most sellers see meaningful impact within 2--4 weeks. The AI needs at least 14 days of historical data to generate reliable suggestions. The first 1--2 weeks are a "learning phase" where the AI is calibrating to your campaigns.
Can the AI Optimizer make things worse?
The guardrails (bid boundaries, daily change limits, blackout dates) let you prevent destructive changes. In Manual Review mode, nothing changes without your approval. In Auto-Apply mode, the Daily Change Limit caps how much any single bid can move per day. That said, no optimization tool is perfect, monitoring the Optimization History chart regularly is recommended.
Does the AI learn from my approve/reject decisions?
Yes. Every approve or reject decision feeds back into the AI's model. Over time, the AI generates suggestions that increasingly align with your preferences. Consistent feedback (especially rejections with reasons) accelerates this learning.
Can I run different strategies for different campaigns?
Currently, the strategy is set at the profile level (one strategy per marketplace). Campaign-level strategy overrides are on the roadmap. For now, if you need different strategies for different campaigns, focus on using the Keyword Optimization Table to selectively approve or reject suggestions per campaign.
What happens during Blackout Dates?
The AI still runs analysis and generates recommendations, but no changes are applied (even in Auto-Apply mode). Recommendations accumulate in the Approval Center and can be reviewed and applied after the blackout period ends.
How does the Profit Maximizer strategy differ from Conservative?
Conservative minimizes ACoS (percentage). Profit Maximizer maximizes absolute profit (dollars). A keyword with 30% ACoS but 500 in monthly attributed sales might be kept or increased by Profit Maximizer (because it generates strong profit) but decreased by Conservative (because 30% ACoS exceeds a typical conservative target). Profit Maximizer requires accurate COGS data for best results.
Can I undo a change the AI made?
Yes. In the Optimization History, you can view every change the AI has made. Each change has a Revert option that restores the previous bid or setting. Note that reverting does not undo the market impact, if a bid was increased for 3 days before reverting, the impressions and spend from those 3 days are not refundable.
How does keyword harvesting work?
The AI monitors search terms in your auto campaigns that are converting well (high CTR, good ACoS, multiple conversions). It then suggests adding these search terms as exact or phrase match keywords in your manual campaigns, giving you more control over bids for proven performers. The original auto campaign continues to discover new search terms.
Is there a limit to how many recommendations the AI generates per cycle?
There is no hard limit, but the AI prioritizes recommendations by expected impact. In a typical cycle, you might see 10--50 suggestions for an account with 20 campaigns and 500 keywords. Larger accounts may see more.
Use Case Scenarios
Scenario 1: Managing 500 Keywords Across 3 EU Marketplaces
You sell kitchen accessories on Amazon DE, FR, and IT. You have 500 active keywords across 12 campaigns.
Challenge: Manually reviewing bids for 500 keywords across 3 markets is a full-time job. Different marketplaces have different CPCs, conversion rates, and competition levels.
Solution:
Expected Outcome: The AI handles the 500-keyword bid management across all three markets. You spend 15 minutes per week reviewing the history chart and anomaly alerts instead of 2+ hours per day manually adjusting bids.
Scenario 2: Launching a New Product with Zero History
You are launching a new product in the US marketplace. You have one auto campaign and one manual campaign with 30 seed keywords.
Challenge: No historical data means the AI has nothing to analyze. You need traffic fast to build keyword data and organic ranking.
Solution:
Expected Outcome: Within 30 days, the AI has harvested 30--50 new keywords from your auto campaign, identified your top 10 performers, and paused any seed keywords that proved unprofitable. You switch to Balanced strategy for the next phase.
Scenario 3: Agency Onboarding a New Client
You are an agency onboarding a new client who has been running Amazon PPC for a year without optimization tools. Their current ACoS is 45% against a target of 25%.
Challenge: The client has years of accumulated inefficiency, wasteful keywords, outdated bids, and no negative keyword strategy. You need to show results within 30 days to retain the client.
Solution:
Expected Outcome: Within 30 days, ACoS drops from 45% to 28--32% through waste elimination. The client sees clear, data-backed results in the weekly reports. You switch to Balanced strategy for month two to start growing profitable sales.
➡️ What's Next?
PPC Approval CenterPPC AnalyticsLast updated