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It is an experimentation and feature flagging platform for websites, mobile apps, chatbots, APIs, smart devices, and anything else with a network connection. You can deploy code behind feature flags, experiment with A/B tests, and rollout or rollback features immediately. All of this functionality is available with zero performance impact via easy-to-use SDKs.
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Unternehmen
Wir haben Daten zu 7 Unternehmen, die Optimizely Full Stack verwenden. Unsere Optimizely Full Stack Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
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IKEA | Niederlande | Retail | 86K | $47B |
DPG Media | Niederlande | Transportation, Logistics, Supply Chain And Storage | 2.3K | |
The Royal Mint | Vereinigtes Königreich | Manufacturing | 652 | $370M |
Navient | Vereinigte Staaten | Financial Services | 5K | $1.9B |
![]() AllTrails | Vereinigte Staaten | Technology, Information And Internet | 306 | $22M |
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Melden Sie sich an und laden Sie die vollständige Liste der 7 Unternehmen herunter.
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
Es gibt 12 Alternativen zu Optimizely Full Stack
Optimizely Full Stack wird in 3 Ländern verwendet
Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
Optimizely Full Stack is a powerful technology that falls under the category of Feature Flags Management. It enables businesses to efficiently manage and deploy feature flags, allowing them to control the release of new features in their applications. With Optimizely Full Stack, companies can easily toggle features on or off, perform A/B testing, and gather valuable insights to make data-driven decisions about their product development and user experience. This technology plays a crucial role in helping companies optimize their software development processes and enhance their overall operational efficiency.
Optimizely Full Stack was founded in 2010 by Dan Siroker and Pete Koomen with the vision of revolutionizing the way companies approach experimentation and optimization in their digital products. The duo recognized the need for a comprehensive platform that could empower businesses to experiment with new features and functionalities at scale, leading to the birth of Optimizely Full Stack. Since its inception, the technology has evolved to become a market leader in the realm of feature flag management, catering to the diverse needs of businesses across various industries.
In terms of current market share, Optimizely Full Stack maintains a strong presence within the realm of feature flags management, with a significant portion of companies leveraging its capabilities to streamline their development processes. As businesses continue to prioritize agility and innovation, the demand for feature flag management solutions like Optimizely Full Stack is expected to grow further in the future. With an increasing emphasis on personalized user experiences and iterative product development methodologies, Optimizely Full Stack is poised to expand its market share and become a cornerstone technology for companies looking to stay ahead in today's competitive landscape.
Introduction:
Optimizely Full Stack is a powerful tool utilized by companies seeking to optimize their feature flag management process. This robust technology provides a range of benefits that set it apart from other similar solutions in the market.
Benefits of Optimizely Full Stack:
Improved Experimentation Capabilities: Optimizely Full Stack offers an intuitive interface that allows companies to set up and manage experiments with ease. Unlike traditional feature flag management tools, Optimizely Full Stack provides advanced statistical analysis, enabling users to make data-driven decisions quickly and effectively.
Seamless Integration with Existing Systems: One key advantage of Optimizely Full Stack is its seamless integration capabilities with a wide range of tech stacks. This ensures compatibility with existing systems, reducing the need for extensive customization and saving valuable time and resources compared to other solutions that may require complex integrations.
Real-Time Feature Flag Management: Optimizely Full Stack provides real-time feature flag management, allowing companies to make instant changes and updates without any downtime. This agile approach sets it apart from other technologies that may involve manual processes or delayed deployments, offering a competitive edge in rapidly evolving markets.
Advanced Targeting and Personalization Options: With Optimizely Full Stack, companies can leverage advanced targeting and personalization features to deliver tailored experiences to their users. This level of customization surpasses that of many traditional feature flag management tools, enabling businesses to improve user engagement and drive conversions effectively.
In essence, Optimizely Full Stack stands out as a comprehensive solution for feature flag management, offering enhanced experimentation capabilities, seamless integration, real-time management, and advanced targeting options that set it apart from other technologies in the market.
Optimizely Full Stack is a powerful tool used by various renowned companies for feature flags management. Below are some real-world case studies showcasing how companies are leveraging Optimizely Full Stack to optimize their development and deployment processes:
Uber: Uber, the global ride-sharing giant, utilizes Optimizely Full Stack to implement feature flags effectively in their applications. They started using Optimizely Full Stack in 2017 to manage feature releases and conduct A/B testing seamlessly. This has enabled Uber to roll out new features gradually, test different variations, and gather valuable user feedback before full deployment, resulting in enhanced user experience and product innovation.
Spotify: Spotify, the popular music streaming service, relies on Optimizely Full Stack to control feature releases across its platform. Spotify incorporated Optimizely Full Stack into its development workflow in 2018 to manage feature flags and experiments comprehensively. By using Optimizely, Spotify can selectively enable or disable features, target specific user segments, and run experiments to gather insights for data-driven decision-making, leading to continuous improvements in their service offerings.
Airbnb: Airbnb, the online vacation rental marketplace, has integrated Optimizely Full Stack into its development process to streamline feature flag management. Since adopting Optimizely Full Stack in 2016, Airbnb has improved its ability to deploy features gradually, monitor changes in real-time, and measure the impact of new functionalities on user engagement. This approach has allowed Airbnb to deliver personalized experiences to users, iterate quickly on features, and drive positive business outcomes through data-driven experimentation.
These case studies highlight how industry leaders such as Uber, Spotify, and Airbnb are harnessing the capabilities of Optimizely Full Stack for feature flags management, enabling them to innovate faster, improve user experiences, and make informed decisions based on data-driven insights.
Sie können eine aktuelle Liste von Unternehmen, die Optimizely Full Stack verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 7 Unternehmen, die Optimizely Full Stack verwenden.
Optimizely Full Stack wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Retail", "Transportation, Logistics, Supply Chain And Storage", "Manufacturing", "Financial Services", "Technology, Information And Internet", verwendet. Für eine umfassende Liste aller Branchen, die Optimizely Full Stack nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Optimizely Full Stack verwenden, umfassen IKEA, DPG Media, The Royal Mint, Navient, AllTrails und viele mehr. Sie können eine vollständige Liste von 7 Unternehmen, die Optimizely Full Stack nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Optimizely Full Stack am beliebtesten in Niederlande (2 companies), Vereinigte Staaten (2 companies), Vereinigtes Königreich (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Optimizely Full Stack verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.