AI Autopilot

Enable AI agents to continuously optimize your campaigns automatically. Autopilot analyzes performance data and makes strategic adjustments to improve ROAS while you maintain full control.

What Autopilot Does

AI agents automatically handle:

• Budget adjustments based on performance trends
• Keyword bid optimization for better ROI
• Underperforming keyword pausing to save budget
• Negative keyword additions for traffic quality
• Cross-campaign budget rebalancing (optional)

Enabling Autopilot

Access Autopilot Settings

1. Navigate to your Campaigns page
2. Find the campaign to optimize
3. Click the robot icon (🤖) in the campaign row
4. Autopilot Settings modal opens

Configure Management Mode

Choose optimization aggressiveness:

🛡️ Conservative Mode

• Cautious approach with minimal changes
• Small bid adjustments and budget modifications
• Best for: New campaigns, tight budgets, risk-averse users

⚖️ Balanced Mode (Recommended)

• Moderate strategy with measured changes
• Balance between growth and stability
• Best for: Most campaigns, steady improvement

🚀 Aggressive Mode

• Bold optimization with larger adjustments
• Rapid testing and scaling of successful elements
• Best for: High-performing campaigns with growth room

Set Optimization Frequency

Daily Optimization

• AI analyzes and optimizes every day
• Best for: High-volume campaigns, competitive markets

Weekly Optimization (Recommended)

• Weekly cycles with comprehensive analysis
• Best for: Most campaigns, balanced approach

Bi-weekly Optimization

• Every two weeks with longer data periods
• Best for: Stable campaigns, lower volume

Advanced Settings

Budget Rebalancing

• Enable: AI redistributes budgets across campaigns
• Disable: Each campaign maintains individual budget
• Useful for managing multiple campaigns with shared goals

Performance Thresholds

• Max CPA: Upper limit for customer acquisition costs
• Min ROAS: Minimum return on ad spend requirement
• AI won't exceed these safety limits

Enable Autopilot

1. Review all configuration settings
2. Click "Enable Autopilot"
3. AI begins monitoring immediately
4. First optimization runs within selected frequency

Understanding Optimization Actions

Activity Timeline

View all optimization history with:

• Timestamp - When optimization occurred
• Action Type - Specific change made
• AI Reasoning - Detailed explanation of decision
• Performance Impact - Expected or actual results

Common Optimization Types

Budget Adjustments

💰 Campaign budget increased: $50 → $65/day
🤖 AI Reasoning: "Campaign achieving 3.2x ROAS with 85% impression 
   share. Market analysis shows opportunity for 25% traffic increase 
   while maintaining current efficiency. Competitive landscape allows 
   for budget scaling during peak conversion hours (2-4 PM)."
📊 Expected Impact: +25% conversions, maintain ROAS

Keyword Bid Optimization

📈 Keyword "handmade rings" bid: $1.50 → $2.10
🤖 AI Reasoning: "High-performing keyword with 4.5x ROAS losing 40% 
   impression share to competitors. Auction insights analysis shows 
   bid increase will capture additional profitable traffic. Keyword 
   converts 3x better than campaign average."
📊 Expected Impact: +15% impressions, maintain conversion rate

Negative Keywords

🚫 Added negative keywords: "cheap", "discount", "wholesale"
🤖 AI Reasoning: "Search term analysis over 30 days reveals these 
   modifiers generate 0% conversion rate across 127 clicks. Adding 
   negatives will improve traffic quality and reduce cost per 
   conversion by estimated 18%."
📊 Expected Impact: -20% irrelevant clicks, +15% conversion rate

Keyword Pausing

⏸️ Paused keyword "jewelry accessories"
🤖 AI Reasoning: "Keyword spent $147 with 0 conversions over 21 days. 
   Search volume declining (-30% vs. previous month) and quality score 
   below average. Reallocating budget to 'custom jewelry' keyword 
   showing 4.2x ROAS potential."
📊 Actual Impact: $7/day reallocated to high-performers

AI Reasoning Deep Dive

Understanding AI Decisions

Each optimization includes:

• Performance Analysis - Metrics triggering the decision
• Market Context - Competitive conditions and trends
• Strategic Logic - How change aligns with campaign goals
• Risk Assessment - Potential downsides considered
• Success Metrics - How results will be measured

Example Detailed Analysis:

🧠 AI Agent Analysis: Strategic Bid Optimization

📊 Performance Metrics:
• Keyword "custom jewelry" ROAS: 4.2x (campaign avg: 2.8x)
• Impression share: 45% (lost to rank: 35%)
• Conversion rate: 12.3% (campaign avg: 8.1%)
• Quality score: 8/10 (above average)

🎯 Market Intelligence:
• Competitor bid range: $1.80 - $3.20
• Search volume trending +15% (seasonal jewelry demand)
• Auction competitiveness: High (holiday season)
• Cost-per-click inflation: +8% market-wide

💡 Strategic Rationale:
Increase bid from $1.75 to $2.45 (40% increase) because:
• Superior conversion performance justifies premium positioning
• Seasonal demand spike creates temporary opportunity window  
• Lost impression share directly correlates to missed revenue
• Competitor analysis shows room for aggressive bidding

⚖️ Risk Management:
• CPA increase capped at 20% above target ($28 → $34 max)
• Daily budget limit prevents runaway spending
• 72-hour performance evaluation period with auto-rollback
• Bid increase staged over 3 days to monitor impact

📈 Success Prediction:
• Expected +40% impression volume
• Projected +25% conversion increase  
• Estimated ROAS maintenance at 4.0x+
• ROI improvement of 15-20% within one week

Managing Autopilot

Modifying Settings

1. Click robot icon on campaign row
2. Adjust mode, frequency, or thresholds
3. Click "Update Settings"
4. Changes apply to next optimization cycle

Manual Optimization

Force immediate optimization:

1. Click "Run Now" in autopilot settings
2. AI analyzes and optimizes within minutes
3. Useful for testing settings or urgent needs

Disabling Autopilot

1. Open autopilot settings
2. Click "Disable Autopilot"
3. All automatic optimizations stop
4. Re-enable anytime with previous settings

Monitoring Performance

Real-Time Task Tracking

When autopilot runs, monitor progress in Tasks panel:

Execution Phases:

• Analysis: AI reviewing campaign performance data
• Strategy: AI planning optimization actions
• Implementation: AI applying changes to campaigns
• Completion: Results summary and next steps

Performance Impact Reports

Weekly Impact Summary:

📈 Autopilot Performance Report - Last 7 Days

Campaign: "Handmade Jewelry Launch"
🤖 Optimizations Applied: 8 actions

Performance Improvements:
• ROAS: 2.1x → 3.4x (+62% improvement)
• CPA: $45 → $28 (-38% reduction)  
• Conversion Rate: 6.2% → 9.8% (+58% improvement)
• Click-through Rate: 3.1% → 4.7% (+52% improvement)

Top Contributing Optimizations:
1. High-performer bid increases: +1.8x ROAS impact
2. Negative keyword cleanup: +2.1% conversion rate
3. Budget reallocation: +15% profitable traffic
4. Underperformer pausing: +12% efficiency

Best Practices

Threshold Configuration

• Set Max CPA 20-30% above target for AI flexibility
• Set Min ROAS 10-15% below target to allow experimentation
• Review and adjust thresholds monthly based on results

Monitoring Schedule

• Daily: Check for major optimization actions
• Weekly: Review performance impact and AI reasoning
• Monthly: Analyze trends and adjust settings

Multi-Campaign Strategy

• Enable budget rebalancing for related campaigns
• Use consistent settings across similar campaign types
• Monitor cross-campaign optimization effects

Troubleshooting

Autopilot not making changes:

• Check performance thresholds aren't too restrictive
• Ensure sufficient campaign data (minimum 3 days)
• Verify management mode isn't overly conservative

Optimization tasks failing:

• Check Google Ads account status and permissions
• Verify platform connection remains active
• Review task logs for specific error details

Unexpected results:

• Review AI reasoning for decision context
• Check if market conditions changed significantly
• Consider adjusting management mode or thresholds