Predict fashion trends and generate designs using advanced AI
Designovel uses AI to analyze global fashion data and forecast upcoming trends. It automates design generation and market analysis, making these tasks faster and more affordable. This helps fashion professionals save time and resources while staying competitive.
Forecast fashion trends using global data analysis
Automatically create fashion designs based on user inputs
Provide insights for business decisions with data-driven reports
Process and generate 3D fashion data for advanced applications
Apply AI to enhance e-commerce and retail experiences
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Recent data shows that Designovel has 3.6K monthly visits (-9.4% decrease from the previous month), 32.0% bounce rate, and average 1.87 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 2 countries worldwide, led by Korea, Republic of contributing 77% of total traffic. SEO performance is shown by 5 tracked keywords, with "㈜디자이노블" being the top-performing keyword with 0 monthly searches. See below for more info.
Monthly Visits
3.6K
Pages per Visit
1.87
Bounce Rate
32.0%
Average Time on Site
33s
| SEO Keyword | Volume | CPC |
|---|---|---|
| ㈜디자이노블 | 0 | - |
| designovel | 50 | - |
| 디자이노블 | 30 | - |
| 노블ai | 930 | - |
| 노블 | 570 | $1.76 |
| Source | Traffic Share |
|---|---|
| Direct | 40% |
| Search | 41% |
| Social | 7% |
| Referrals | 11% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 77% |
 | 23% |
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