Users report that Optimizely Web Experimentation excels in A/B Testing with a score of 8.8, while Salesforce Marketing Cloud Personalization also performs well with a score of 8.1, but reviewers mention that Optimizely's interface is more intuitive for setting up experiments.
Reviewers mention that Salesforce Marketing Cloud Personalization shines in Behavioral Targeting with a high score of 9.2, indicating that it offers more advanced targeting capabilities compared to Optimizely's score of 7.6, which users say can limit personalized experiences.
Users on G2 highlight that Optimizely Web Experimentation provides superior Data Enrichment features with a score of 9.3, allowing for more comprehensive visitor insights, whereas Salesforce's score of 8.1 suggests it may not offer the same depth in data integration.
Reviewers say that Salesforce Marketing Cloud Personalization has a more robust Personalization Engine with a score of 9.2, which users report leads to better tailored content delivery compared to Optimizely's score of 8.1.
Users report that Optimizely Web Experimentation has a more user-friendly Ease of Use rating of 8.2, while Salesforce's lower score of 7.5 indicates that some users find it less straightforward to navigate and utilize effectively.
G2 users mention that Salesforce Marketing Cloud Personalization offers superior Quality of Support with a score of 8.9, which reviewers say is crucial for resolving issues quickly, compared to Optimizely's score of 8.0, which some users feel could be improved.
A/B testing is when you have a least two variations of something you want to test. Typically you have a control (which may be the current variant) and then...Read more
What are some ways that I can use A/B testing?
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Testing is ongoing and endless. We test new features such as additional form fields in a lead form. We test multiple CTAs to decide which produces the best...Read more
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