New Releases
๐ซ Optimization Cycle
As consumer behavior is constantly changing and evolving, so should your personalization campaigns. Identifying what changes should be made to keep your personalization campaigns relevant is hard and time-consuming.โฑ๏ธ
Segmenting your audience, running experiments, creating/changing personalization campaigns, monitoring the results, and the list goes on. ๐ฅฑ
Introducing Optimization Cycle ๐ซ A streamlined process to seamlessly transition your experiments into personalizations and personalizations into experiments. Save time on the administrative tasks and invest time in experimenting your way to personalized relevant experiences!
๐ง Looking for more information?
๐ Read about a use case in this blog.
๐ Learn how to use Optimization Cycle here.
๐ฅ Watch the video on Optimization Cycle.
๐งช Experience Continuity
A culture of experimentation is great but not if it results in disjointed experiences and unreliable data. ๐ How do you ensure a visitor included in an experiment receives a consistent experience before and after logging in? What if this visitor starts their journey on a laptop and finishes on a mobile app? What impact does all this have on the data fueling your experimentation reports?
The answer to all these questions can be answered with Flagship & the new Experience Continuity feature! ๐งช
Even if the visitorID changes, Experience Continuity delivers the sophistication required to run experiments without delivering a disjointed experience.
๐ง Looking for more information?
๐ Read about a use case in this blog
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