Statistical relevance analysis is a process used by software programs to determine the statistical significance of data. This feature is commonly found in data mining, machine learning, and analytics software. It enables the user to analyze a large amount of data to determine the correlation between different variables and identify any patterns that may exist. The process of statistical relevance analysis starts by defining the variables that need to be analyzed and determining the type of relationship between them. This can include variables such as customer demographics, sales data, or
Product | Free Trial | Starting Price | Spot Score | Rating | Actions |
---|---|---|---|---|---|
Optimizely | - | 9.8 | 4.3 | Visit Website | |
AB Tasty | - | 9.6 | 4.5 | Visit Website | |
Kameleoon | - | 9.2 | 4.6 | Visit Website | |
SplitMetrics | - | 8.9 | - | Visit Website | |
SiteSpect | - | 8.9 | 4.4 | Visit Website | |
Google Optimize | - | 8.9 | 4.1 | Visit Website | |
VWO Testing | - | 8.8 | 4.4 | Visit Website | |
Omniconvert | $324, | 8.8 | 4.3 | Visit Website | |
Zoho PageSense | $16, Billed Yearly | 8.8 | 4.1 | Visit Website | |
Yieldify | - | 8.7 | 4.5 | Visit Website | |
Intellimize | - | 8.7 | 4.8 | Visit Website | |
Twik | - | 8.6 | - | Visit Website | |
Webtrends Optimize | - | 8.6 | 4.9 | Visit Website | |
Apptimize | - | 8.5 | 4.2 | Visit Website | |
UseItBetter | - | 8.4 | - | Visit Website |