1The Scaling Dilemma: Growth vs. Efficiency
Why Manual Scaling Often Fails
The common approach:
- Monitor campaigns daily
- Check performance metrics manually
- Increase budgets when results look good
- Hope performance maintains as you scale
- Realize too late that scaling degraded results
The Problems with Manual Scaling
| Problem | Impact |
|---|---|
| Time-intensive | Requires constant attention and decision-making |
| Reactive | You scale after noticing good results, potentially missing optimal timing |
| Inconsistent | Weekends, vacations, and busy periods mean irregular scaling decisions |
| Risk of over-scaling | Manual increases can be too aggressive, destroying profitability |
| No automatic pullback | When performance degrades, you must notice and manually reduce |
Result: Inconsistent scaling that either leaves money on the table or wastes budget on declining performance.
2The Automated Solution: Rules-Based Scaling
How Automated Rules Solve These Problems
Consistency
- Rules run on schedule regardless of your availability
- Every day, budgets adjust according to actual performance
- No human error or oversight gaps
Performance-Based
- Budget increases only when specific conditions are met
- Automatic decreases when performance declines
- Dynamic adjustment maintains profitability
Hands-Off Growth
- Set criteria once, let automation handle execution
- Focus on strategy and creative rather than daily budget management
- Scale multiple campaigns simultaneously without manual workload
The Core Logic
Increase Rule: IF campaign performance meets profitability criteria THEN increase budget by specified percentage ELSE do nothing
Decrease Rule: IF campaign performance falls below threshold THEN decrease budget ELSE do nothing
This ensures you only spend more when results justify it, and automatically pull back when they don't.
3The Budget Increase Rule
Core Components
| Component | Setting | Why |
|---|---|---|
| Trigger Metric | ROAS or CPA | Primary profitability indicator |
| Threshold | Above target (e.g., ROAS > 300%) | Ensures profitability before scaling |
| Lookback Window | 7 days | Smooths daily fluctuations |
| Increase Amount | 3% | Small enough to prevent destabilization |
| Frequency | Daily | Consistent, gradual scaling |
| Maximum Budget | Set cap | Prevents runaway spending |
Step-by-Step Implementation
- Navigate to Tools & Settings → Bulk Actions → Rules
- Create new rule for campaigns
- Set condition: ROAS > [your target] for last 7 days
- Set action: Increase budget by 3%
- Set frequency: Daily
- Set maximum budget cap
- Enable email notifications
Why 3% Increase?
- Small enough that smart bidding doesn't reset learning
- Compounds to 142% monthly growth if conditions met daily
- Large enough to see meaningful volume increases
- Reversible without major impact if performance dips
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4The Budget Decrease Rule
Core Components
| Component | Setting | Why |
|---|---|---|
| Trigger Metric | ROAS or CPA | Same as increase rule |
| Threshold | Below target (e.g., ROAS < 200%) | Indicates unprofitability |
| Lookback Window | 3 days | Faster response to declining performance |
| Decrease Amount | 10% | Larger to quickly stop losses |
| Frequency | Daily | Prevents extended unprofitable spend |
| Minimum Budget | Set floor | Prevents pausing entirely |
Why Decrease Is Faster Than Increase
- 3-day lookback vs 7-day: Faster response to problems
- 10% decrease vs 3% increase: Stop losses quickly
- Asymmetric by design: Protect profits more aggressively than pursue growth
The Safety Net Principle
Automated decreases act as a safety net. Even if you're not watching, the system protects you from extended unprofitable spending.
5The Compound Effect
How 3% Daily Becomes 142% Monthly
| Day | Budget (Starting $100) |
|---|---|
| Day 1 | $103 |
| Day 7 | $123 |
| Day 14 | $151 |
| Day 21 | $185 |
| Day 30 | $242 |
Result: $100/day → $242/day in one month (142% increase)
The Reality Check
In practice, you won't hit 3% every single day because:
- Some days won't meet profitability threshold
- Decrease rules may trigger on poor days
- Seasonal fluctuations affect performance
Realistic expectation: 30-80% monthly growth during profitable periods, with automatic protection during unprofitable periods.
Long-Term Growth Trajectory
| Month | Realistic Budget Growth |
|---|---|
| Month 1 | $100 → $150/day |
| Month 2 | $150 → $220/day |
| Month 3 | $220 → $320/day |
| Month 6 | $320 → $700/day |
6Advanced Rule Configurations
Multi-Condition Rules
Combine multiple conditions for more precise control:
- ROAS > 300% AND Conversions > 5 in last 7 days
- CPA < $50 AND Spend > $200 in last 7 days
This prevents scaling campaigns with good metrics but insufficient data.
Campaign-Specific Rules
| Campaign Type | Increase Threshold | Decrease Threshold |
|---|---|---|
| Brand | ROAS > 500% | ROAS < 300% |
| Non-Brand | ROAS > 250% | ROAS < 150% |
| Performance Max | ROAS > 300% | ROAS < 200% |
Day-of-Week Rules
- If weekends perform worse: Set separate rules with different thresholds
- If certain days spike: More aggressive scaling on those days
Seasonal Adjustments
- Q4/holiday season: Higher increase percentage (5%)
- Slow season: Tighter profitability thresholds
- Sales events: Temporarily pause decrease rules