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Optimizely Feature Experimentation description
Optimizely Feature Experimentation helps businesses test new website and app features on their users. It allows companies to release features gradually, targeting specific user groups and analyzing their responses. This data-driven approach helps companies create better user experiences, reduce risks associated with new releases, and increase customer satisfaction.
Who is Optimizely Feature Experimentation best for
Optimizely Feature Experimentation empowers digital teams to optimize websites and apps through targeted feature releases and A/B testing. Users praise its personalized UX, real-time analytics, and seamless integration. However, some note concerns about cost and onboarding challenges. Ideal for those seeking data-driven improvements to user experiences.
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Best fit for small to medium-sized businesses.
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A good fit across various industries.
Optimizely Feature Experimentation features
| Supported Optimizely Feature Experimentation supports server-side testing using feature flags and SDKs. |
| Supported Optimizely supports defining rules and conditions for feature flag activation. |
| Supported Optimizely supports A/B testing and analytics to optimize campaigns. |
| Supported Optimizely allows managing feature flags in different environments for targeted releases. |
| Supported Optimizely provides a centralized platform to manage feature flags for releases, A/B testing, and personalization. |
We evaluate the sentiment that users express about non-functional aspects of the software
Value and Pricing Transparency
Ease of Use
Reliability and Performance
Ease of Implementation
Scalability
Optimizely Feature Experimentation reviews
We've summarised 101 Optimizely Feature Experimentation reviews (Optimizely Feature Experimentation G2 reviews) and summarised the main points below.
- Personalized UX and granular user targeting are highly praised.
- Real-time data analytics, reporting, and insights are valuable.
- Feature flags and A/B testing are easy to implement and manage.
- Seamless integration and intuitive interface for feature management are appreciated.
- Controlled feature rollouts and experimentation enable data-driven decisions.
- High cost and limited budget constraints are a concern for some users.
- Onboarding new users and integrating with legacy systems can be challenging.
- Limited analytics capabilities and difficulty handling complex experiments are reported.
- Unresponsive mobile interface and complex navigation are cited as usability issues.
- Occasional system outages and slowdowns affect access to results.
Optimizely Feature Experimentation pricing
The commentary is based on 10 reviews from Optimizely Feature Experimentation G2 reviews.
Optimizely Feature Experimentation is considered expensive, especially for smaller businesses and solopreneurs. Some users mention the pricing structure could be more user-friendly and flexible options would be welcomed. Despite the cost, many find its feature flagging and experimentation capabilities valuable.
Users sentiment
Optimizely Feature Experimentation alternatives
FlagsmithBetter fit for developers focused on feature flag management and A/B testing. Open-source with strong community support. Flagsmith is growing faster than Optimizely Feature Experimentation. More affordable pricing, including a free plan.Read more
PostHogOpen-source, offering more flexibility and a generous free tier. It has significantly more momentum than Optimizely, growing faster in terms of web traffic and employee base. A strong Optimizely Feature Experimentation competitor and alternative for product development teams seeking session recording and integrated analytics.Read more
Netcore Email APIBetter for sending business emails, especially marketing emails, newsletters, and notifications. Focuses on email deliverability, transparent pricing, and email performance analytics. A good Optimizely Feature Experimentation alternative for small to large businesses across various industries needing robust email communication.Read more
Google AnalyticsBetter for understanding website traffic and user behavior. Free to use. A strong Optimizely Feature Experimentation competitor for businesses focused on marketing analytics.Read more
BranchBetter for mobile app marketing and attribution. Focuses on deep linking and campaign measurement. Has broader industry applicability but is losing momentum.Read more
GrowthBookOpen-source, prioritizing data privacy and integration with existing data tools. Has more momentum. Better fit for small to medium businesses.Read more
Optimizely Feature Experimentation FAQ
What is Optimizely Feature Experimentation and what does Optimizely Feature Experimentation do?
Optimizely Feature Experimentation is a feature management and A/B testing platform. It empowers businesses to release features gradually, target specific user segments, and analyze user responses to optimize user experiences and reduce risks associated with new releases. It utilizes feature flags, A/B testing, and targeted rollouts for data-driven decision-making.
How does Optimizely Feature Experimentation integrate with other tools?
Optimizely Feature Experimentation integrates with other tools through feature flags and SDKs, enabling server-side testing. It supports A/B testing and analytics tools to optimize campaigns and offers a centralized platform for managing feature flags across different environments.
What the main competitors of Optimizely Feature Experimentation?
Optimizely Feature Experimentation's top competitors include VWO Testing, Unleash, Flagsmith, and PostHog. These alternatives offer similar feature flagging, A/B testing, and experimentation capabilities, often with varying pricing and target user bases. Some, like PostHog, provide broader product analytics tools.
Is Optimizely Feature Experimentation legit?
Yes, Optimizely Feature Experimentation is a legitimate platform used by many businesses for A/B testing and feature flag management. Users appreciate its personalized UX and real-time analytics. However, some have noted concerns about cost and onboarding challenges.
How much does Optimizely Feature Experimentation cost?
Optimizely doesn't publicly disclose pricing for Feature Experimentation. Contact their sales team for a customized quote based on your specific product experimentation needs.
Is Optimizely Feature Experimentation customer service good?
Optimizely Feature Experimentation's customer service receives mixed reviews. While some users praise the quick and helpful support, others report difficulty getting answers to technical questions regarding feature implementation. More detailed analytics and reporting would also be beneficial.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.