Core Optimization Principles
Batch Smartly
Larger batches are more credit-efficient. Aim for 500+ keywords to achieve the optimal 1:1 credit ratio.
Filter First
Use research tools to identify the best keywords before running expensive full analyses.
Right-Size Limits
Only request the number of research results you actually need. Unused credits are refunded automatically.
Analysis Optimization Strategies
The "Sweet Spot" Strategy
The most cost-effective approach is to batch keywords into groups of 500+ to achieve the 1:1 credit-to-keyword ratio.
Avoid This
Do This Instead
Credit Efficiency by Batch Size
| Keywords | Total Credits | Credits/Keyword | Efficiency |
|---|---|---|---|
| 1 | 30 | 30.0 | Poor |
| 10 | 57 | 5.7 | Fair |
| 50 | 177 | 3.5 | Good |
| 100 | 213 | 2.1 | Better |
| 500 | 500 | 1.0 | Optimal |
| 1,000 | 1,000 | 1.0 | Optimal |
Research Optimization Tips
Smart Filtering Strategy
Use research to identify promising keywords before running expensive full analyses.
Automatic Refunds
Only pay for the results you actually receive. Unused credits are automatically refunded.
Advanced Optimization Strategies
The "Research-First" Workflow
A systematic approach that minimizes credit waste by identifying the best opportunities before full analysis.
Quick Optimization Tips
Do This
- • Batch keywords into groups of 500+
- • Use research to pre-filter opportunities
- • Focus on high-value, low-competition keywords
- • Save collections for future reference
Avoid This
- • Running individual keyword analyses
- • Analyzing without grouping keywords first
- • Re-analyzing the same keywords
- • Ignoring saved collection features
Monitor Your Usage
Keep track of your credit consumption throughout the month to optimize your usage patterns.