Adobe Target
Use Cases and Deployment Scope
Pros
- Data results
- Collaboration
- Improved conversion rates
- Tracking responses
Cons
- Refined search
- Understanding Platform
- Reporting
Return on Investment
- Effective Lead tracking
- Conversions
- Opportunities
Create and test variations of a website, changing site elements such as headlines, CTAs, images, page design and layout, technical SEO changes, and new feature additions and collect statistical results of each variation’s conversion rates or other metrics.
Category average: 8.6
Ability to test multiple site design changes at once across one or multiple variations and identify which variation impacts conversion rates, or other predefined goals, the most.
Category average: 8.2
Preview your experiment before running it live on your site or app.
Category average: 7
Ability to assign different phases of the experiment process to your team and approve next steps for an experiment or campaign.
Category average: 6.7
Ability to make tests mutually exclusive so that a given visitor is only part of one test at a time, this helps prevent tests from interfering with one another.
Category average: 6.9
Ability to set the statistical significance level, or confidence interval, of a given test, for example at the 90% or 95% level.
Category average: 7.3