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Epsilon PeopleCloud vs. Optimizely Feature Experimentation

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Epsilon PeopleCloud

    Score8 out of 10
    N/AEpsilon PeopleCloud (formerly the Agility platform with Agility Harmony) is an enterprise-level email marketing and cross-channel campaign management platform competing with Responsys, Cheetah Mail, ExactTarget, etc. The vendor has a strong international presence with staff in 14 countries.N/A

    Optimizely Feature Experimentation

    Score8.4 out of 10
    N/AOptimizely Feature Experimentation unites feature flagging, A/B testing, and built-in collaboration—so marketers can release, experiment, and optimize with confidence in one platform.N/A
    Pricing
    Epsilon PeopleCloudOptimizely Feature Experimentation
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Epsilon PeopleCloudOptimizely Feature Experimentation
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeRequired
    Additional Details——
    More Pricing Information
    Community Pulse
    Epsilon PeopleCloudOptimizely Feature Experimentation
    Considered Both Products
    Epsilon
    No answer on this topic
    Optimizely
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    89%
    Would buy again
    41 Answers
    Delivers good value for the price
    No answers on this topic
    97%
    Delivers good value for the price
    33 Answers
    Happy with the feature set
    No answers on this topic
    91%
    Happy with the feature set
    42 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    88%
    Lived up to sales and marketing promises
    21 Answers
    Implementation went as expected
    No answers on this topic
    80%
    Implementation went as expected
    28 Answers
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    Enterprises
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    Epsilon PeopleCloudOptimizely Feature Experimentation
    Likelihood to Recommend
    7.0
    (1 ratings)
    8.2
    (47 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    4.5
    (2 ratings)
    Usability
    -
    (0 ratings)
    7.6
    (26 ratings)
    Support Rating
    -
    (0 ratings)
    3.6
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    Epsilon PeopleCloudOptimizely Feature Experimentation
    Likelihood to Recommend
    Epsilon
    Appropriate for large organizations who want customization in their emails. The tool - while intuitive if you have previous background - is hefty and large in scope of capabilities. It's great for organizations who have multiple users and shows the name of person who last made changes. The reporting is really good - but may be a bit overwhelming for organizations who don't need a lot of detailed information
    Incentivized
    Read full review
    Optimizely
    Based on my experience with Optimizely Feature Experimentation, I can highlight several scenarios where it excels and a few where it may be less suitable. Well-suited scenarios: - Multi-Channel product launches - Complex A/B testing and feature flag management - Gradual rollout and risk mitigation Less suited scenarios: - Simple A/B tests (their Web Experimentation product is probably better for that) - Non-technical team usage -
    Incentivized
    Read full review
    Pros
    Epsilon
    • Fairly intuitive if you have previous experience with high-end email tools.
    • The training opportunities are good - they offer both online and/or live training.
    • The support we receive is very good.
    • The reporting feature is good - a lot of detailed information.
    Incentivized
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    Optimizely
    • It is easy to use any of our product owners, marketers, developers can set up experiments and roll them out with some developer support. So the key thing there is this front end UI easy to use and maybe this will come later, but the new features such as Opal and the analytics or database centric engine is something we're interested in as well.
    Incentivized
    Read full review
    Cons
    Epsilon
    • The tool could be improved to "remember" where you last left off (specific user). Having to constantly retrace steps if you get logged out is annoying.
    • Hitting the "back" arrow sends you back to a main section, when it should send you back to where you previously were.
    • It would be nice to see performance reports available within the campaign itself, as well as within the reporting section.
    • Ability to NOT be able to change anything in a campaign after it has launched. This has happened multiple times. We usually copy a previous campaign to start a new one but often, we end up changing content on the version we are copying from -- this is very annoying and dangerous.
    Incentivized
    Read full review
    Optimizely
    • Would be nice to able to switch variants between say an MVT to a 50:50 if one of the variants is not performing very well quickly and effectively so can still use the standardised report
    • Interface can feel very bare bones/not very many graphs or visuals, which other providers have to make it a bit more engaging
    • Doesn't show easily what each variant that is live looks like, so can be hard to remember what is actually being shown in each test
    Incentivized
    Read full review
    Likelihood to Renew
    Epsilon
    No answers on this topic
    Optimizely
    Competitive landscape
    Incentivized
    Read full review
    Usability
    Epsilon
    No answers on this topic
    Optimizely
    Easy to navigate the UI. Once you know how to use it, it is very easy to run experiments. And when the experiment is setup, the SDK code variables are generated and available for developers to use immediately so they can quickly build the experiment code
    Incentivized
    Read full review
    Support Rating
    Epsilon
    No answers on this topic
    Optimizely
    Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams
    Incentivized
    Read full review
    Implementation Rating
    Epsilon
    No answers on this topic
    Optimizely
    It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it
    Incentivized
    Read full review
    Alternatives Considered
    Epsilon
    While both Epsilon Agility Harmony and Oracle Responsys are great for larger organizations that send a lot of emails, I think Epsilon Agility Harmony is more robust than Responsys and is easier to use. It is significantly more complex than HubSpot and requires previous knowledge of using an email tool that has content blocks and or dynamic content.
    Incentivized
    Read full review
    Optimizely
    When Google Optimize goes off we searched for a tool where you can be sure to get a good GA4 implementation and easy to use for IT team and product team. Optimizely Feature Experimentation seems to have a good balance between pricing and capabilities. If you are searching for an experimentation tool and personalization all in one... then maybe these comparison change and Optimizely turns to expensive. In the same way... if you want a server side solution. For us, it will be a challenge in the following years
    Incentivized
    Read full review
    Scalability
    Epsilon
    No answers on this topic
    Optimizely
    had troubles with performance for SSR and the React SDK
    Incentivized
    Read full review
    Return on Investment
    Epsilon
    • Increased email production = more communication to customers.
    • Better reporting = determine areas for improvement or scale up efforts.
    • Working on getting our triggered emails optimized - there's a great opportunity for this with this tool.
    Incentivized
    Read full review
    Optimizely
    • We have improved various metrics throughout the course of our experimentation program with Optimizely and therefore sharing numbers is tricky. Essentially we only implement versions of the product that perform the best in terms of CVR, revenue/visitor, ATV, average order value, average basket size and so forth dependent on the north star we are trying to move with each release.
    Incentivized
    Read full review
    ScreenShots

    Optimizely Feature Experimentation Screenshots

    Screenshot of Feature Flag Setup. Here users can run A/B and multi-armed bandit tests, as well as:

- Set up a single feature flag to test multiple variations and experiment types
- Enable targeted deliveries and rollouts for more precise experimentation
- Roll back changes quickly when needed to ensure experiment accuracy and reduce risks
- Increase testing flexibility with control over experiment types and delivery methodsScreenshot of Audience Setup. This is used to target specific user segments for personalized experiments, and:

- Create and customize audiences based on user attributes
- Refine audience segments to ensure the right users are included in tests
- Enhance experiment relevance by setting specific conditions for user groupsScreenshot of Experiment Results, supporting the analysis and optimization of experimentation outcomes. Viewers can also:

- examine detailed experiment results, including key metrics like conversion rates and statistical significance
- Compare variations side-by-side to identify winning treatments
- Use advanced filters to segment and drill down into specific audience or test dataScreenshot of A Program Overview. These offer insights into any experimentation program’s performance. It also offers:

- A comprehensive view of the entire experimentation program’s status and progress
- Monitoring for key performance metrics like test velocity, success rates, and overall impact
- Evaluation of the impact of experiments with easy-to-read visualizations and reporting tools
- Performance tracking of experiments over time to guide decision-making and optimize strategiesScreenshot of AI Variable Suggestions. These enhance experimentation with AI-driven insights, and can also help with:

- Generating multiple content variations with AI to speed up experiment design
- Improving test quality with content suggestions
- Increasing experimentation velocity and achieving better outcomes with AI-powered optimizationScreenshot of Schedule Changes, to streamline experimentation. Users can also:

- Set specific times to toggle flags or rules on/off, ensuring precise control
- Schedule traffic allocation percentages for smooth experiment rollouts
- Increase test velocity and confidence by automating progressive changes