Find the Ideal Month to Launch Your Website
Choosing the Right Time to Launch
Timing your website migration is critical to its success. A poorly timed launch can mask technical issues behind seasonal growth, making problems invisible until significant damage occurs. This free tool analyzes your traffic and revenue patterns to identify launch windows where migration issues will be immediately detectable, helping you avoid costly hidden problems.
Important Note: While this tool provides valuable directional analysis based on traffic and revenue trends, it represents just the starting point for migration planning. We strongly recommend conducting a comprehensive assessment with your strategy team and cross-functional stakeholders, including development, marketing, customer support, and business operations, before finalizing your launch date. Critical factors such as technical readiness, team availability, competing business priorities, and infrastructure capacity require careful evaluation alongside the seasonal patterns this tool identifies.
Data Privacy & Security
Your data privacy is our priority. This tool operates entirely in your browser with zero data collection:
- All calculations happen locally on your device
- No data is transmitted to our servers
- Closing your browser tab permanently erases all entered data
Poor launch timing can lead to:
- Lost revenue during critical periods
- Overwhelmed support teams
- Inadequate testing time
- Rushed implementations
- Poor user experience
Smart timing enables:
- Thorough testing and validation
- Proper team preparation
- Minimal business disruption
- Better problem resolution
- Smoother transitions
What This Tool Detects
Our Website Launch Window Risk Detection evaluates traffic and revenue factors that impact migration success:
- Seasonal Traffic Patterns: Understand your peak and low seasons
- Business Impact: Consider revenue and traffic impacted for forecasted launch dates
How to Use This Tool
- Gather Your Data - Collect traffic and revenue info
- Analyze & Review Risk Scores - See risk levels for different launch windows
- Make Informed Decisions - Start to identify your ideal launch window
Website Migration Risk Score
Our free tool helps find the best month to launch your website.
Learn more about our Risk Score Methodology below.
Drag and drop your CSV file here, or click to browse
CSV Header Format: Year, Month, Sessions, Revenue
| Year | Month | Sessions | Revenue ($) |
|---|
Analyzing data...
12-Month Risk Timeline
Monthly Risk Ranking
Quarterly Risk Ranking
Migration Timing Recommendations
Risk Score Methodology
+The Risk Score quantifies how difficult it will be to identify migration problems by measuring positive growth that masks technical issues.
Direction absolutely matters for migration risk. A month with +20% traffic growth is much riskier for launch timing than -20% decline. Growing periods mask migration issues until significant damage occurs, while declining periods immediately reveal any additional problems caused by migration.
Sessions and revenue growth patterns create measurement challenges - organic search problems are hidden when metrics are naturally increasing due to seasonal shopping patterns, marketing campaigns, or business growth. Migration impact only becomes visible when it overcomes positive trends. Thus we've created the following formula to measure detection difficulty.
Risk Score = (Growth Risk × 0.7) + (Baseline Risk × 0.3)
Where: Growth Risk = Max(0, Session % Change) + Max(0, Revenue % Change)
Baseline Risk = Monthly Rank (1-12) × (10/12)
The formula combines two key components:
- Growth Risk (70% weight): Measures YoY growth that masks problems. Only positive growth adds to risk score.
- Baseline Risk (30% weight): Identifies naturally low-traffic months (ranked 1-12) where issues are easier to detect.
Example Calculations:
- November (High growth + High baseline): Growth Risk = 25.0, Baseline = 11 → Risk Score = (25.0 × 0.7) + (11 × 10/12 × 0.3) = 20.25 EXTREME
- February (Declining + Low baseline): Growth Risk = 0.0, Baseline = 2 → Risk Score = (0.0 × 0.7) + (2 × 10/12 × 0.3) = 0.5 VERY FAVORABLE
- June (Moderate growth + Mid baseline): Growth Risk = 8.0, Baseline = 6 → Risk Score = (8.0 × 0.7) + (6 × 10/12 × 0.3) = 7.1 MODERATE
This approach prioritizes migration impact detectability over performance stability, providing a metric that identifies when technical problems can be quickly identified and resolved versus when they remain hidden until major damage occurs.
Why Baseline Rankings Matter
Baseline rankings (1-12) identify your naturally lowest-traffic months based on absolute traffic and revenue levels:
- Low baseline months (1-4): Your slowest periods. Migration issues are immediately visible because there's minimal natural traffic to mask problems.
- Medium baseline months (5-8): Average traffic periods. Moderate ability to detect issues.
- High baseline months (9-12): Peak traffic periods. Even without growth, high volume makes it harder to spot percentage-based losses from migration problems.
This baseline component ensures that peak seasons (like November/December for e-commerce) are always considered riskier for migrations, even if they show flat or declining YoY growth.
| Risk Score | Rating |
|---|---|
| 0.0 - 2.5 |
VERY FAVORABLE Low baseline traffic and/or declining performance |
| 2.6 - 5.0 |
FAVORABLE Good visibility for issue detection |
| 5.1 - 10.0 |
MODERATE RISK Some masking from growth or high baseline |
| 10.1 - 15.0 |
HIGH RISK Strong growth and/or peak season masks problems |
| 15.0+ |
EXTREME RISK Peak season with high growth - issues stay hidden |
Need Expert Help?
Sometimes you need more than a tool. Our migration experts can provide:
- Custom risk assessments
- Detailed launch planning
- Migration project management
- Technical implementation support
Contact us to discuss your specific migration needs.
Additional Resources
While you're planning your migration timing, check out these related resources: