New integration automatically syncs Optimizely updates within leading collaboration platform to reduce friction in the experimentation process and increase productivity and efficiency
Optimizely, the world’s leader in digital experience optimization, announced an integration with Slack, the leading global collaboration hub, that makes experimentation seamlessly accessible. This new integration allows businesses to receive updates on and make changes to experiments via Slack channels instead of logging into Optimizely’s platform, increasing team visibility, accelerating the development process, and fostering an environment ripe for additional experimentation.
Optimizely’s new Slack integration brings information about experimentation into a central and ubiquitous location, allowing businesses to increase productivity, efficiency, and time management for product and marketing teams tasked with improving the customer experience. This integration allows businesses to link together within their existing Slack environment all experiments running within Program Management, Optimizely’s offering used by large enterprises to manage, scale and report on their experimentation.
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“Optimizely continues on its mission to help companies develop a culture of experimentation, bringing data-driven decision making into every employee’s workflow,” said Claire Vo, SVP of Product, Optimizely. “With today’s announcement, the number one experimentation platform meets the gold standard in business collaboration. Businesses that use experimentation to understand and improve customer experiences are the ones that succeed, and this integration will help businesses rapidly accelerate those processes to realize greater business benefits. Moving forward, we’ll continue to reinforce our position as an open platform that takes advantage of new integrations with industry-leading solutions to make the lives of our customers easier.”
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Optimizely’s Program Management is an industry-first solution that allows its customers to operationalize experimentation across their entire organization and across the entire experimentation lifecycle. Key features include the ability for teams to collaborate, capture ideas, prioritize projects, and manage experiments, as well as gain powerful insights into the performance of their experimentation programs.
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