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Optimizely integration with RudderStack

Use RudderStack to Send Event Data to Optimizely Web

Configuring the Optimizely Web integration on the RudderStack dashboard is a matter of minutes. Once the integration is enabled, RudderStack automatically tracks and collects all your experimentation data and routes it securely and reliably to Optimizely Web, in real-time. With RudderStack, you don’t need to waste your time manually tracking the events. All you have to do is add the Optimizely Web snippet in the tag of your website, along with the RudderStack JavaScript snippet, and that’s it! RudderStack will take care of everything else.

By Adding Optimizely Web Support for RudderStack, you can:

  • Skip all the manual configurations to set up Optimizely Web and get started in no time
  • Route your event data across various event data sources to Optimizely Web reliably
  • Send your experiment data to Optimizely along with the associated properties in real-time
  • Provide custom campaign properties to Optimizely without the risk of incompatibility
  • Send your experimentation or campaign data to other tools or platforms, as specified by you
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What you can do with Optimizely Web

To manually configure and use Optimizely Web for A/B testing, you need to install it on the client-side by adding a code snippet into your website’s code. This is required to start running web experiments. In addition, each project will have its own JavaScript snippet which needs to be placed in the tag of your website’s source code. To add to your work, to send each tracking event to Optimizely, you will need to implement duplicate event tracking alongside all the advertising pixels, analytics and attribution tools, and so on. All of this requires a lot of time, effort, and patience.

You can easily overcome all of these challenges by adding RudderStack support for Optimizely Web, and skip all the manual configurations required to get started!

Test new website features and measures how they impact overall customer experience

Minimize the impact of the feature testing on your website’s performance

Uncover useful customer insights and create unique, long-lasting experiences for them

Visually test the experimental features and optimize your website content

Safely run multiple experiments on the same web page, even on dynamic websites

Empower multiple teams to collaborate together on experimenting with new website features through an easy to use, flexible visual editor

How to set up Optimizely Web Integration

It’s very easy! Use our step-by-step guide to set up Optimizely Web as a destination in RudderStack, and get started in no time at all.

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FAQ

How can we help you?

What is Optimizely used for?

Optimizely is a popular third-party full stack testing tool that enables A/B and other types of testing client-side and server-side.

Is it hard to set up Optimizely?

Difficulty can vary based on your tech stack and the complexity of the tests. Many users choose to simplify implementation by deploying and sending test data to Optimizely through secure A/B Testing & Feature Experimentation integration tools like RudderStack.

How much does it cost to integrate Optimizely with RudderStack?

Pricing for Optimizely can vary depending on your use case and data volume. RudderStack offers transparent, volume-based event pricing. See RudderStack's pricing.

What is an experimentation platform?

An experimentation platform allows you to try new product-related features and measure their impact on the customers and your overall KPIs, before actually implementing them. It is a critical part of your data infrastructure. An experimentation platform consists of 4 key components – a targeting engine, a telemetry system, a statistics engine and a management console.

Who uses Optimizely?

Over 3000 companies currently use Optimizely for their experimentation and feature testing needs. Some of the popular ones among these include Uber, Spotify, and Udemy.

What is A/B testing in marketing?

In marketing, A/B testing refers to an experiment where multiple variants of a web page or app are shown to the users at random. Then, based on their response or feedback, statistical analysis is used to determine which variant gives better results in relation to a specific KPI or metric. The ultimate goal of A/B testing is to boost conversion rates, increase interactions, and improve customer retention.

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