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Tips & Tricks for Building Your Experimentation Program

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Using Optimizely

Tips, advice, best practices, and examples for using Optimizely product features.

Improving Snippet Performance and Matching with 3rd Party Analytics

Today, we’re pleased to share a pair of new updates to the Optimizely JavaScript snippet which are launching in general availability: a more performant event logging endpoint (/events), and new JavaScript methods for event timing. /events Logging Endpoint: Better performance through batching Our customers care a lot about the performance impact of including our snippet […]

Scale your Experimentation Program with Optimizely’s REST API

When most people think of Optimizely, they picture a visual user interface: filling in forms to create experiments, dragging and dropping content to make variations, and clicking on buttons to track conversions. This visual interface is a great way to get started with experimentation, but what many users don’t realize is that it’s just scratching […]

Introducing Extensions – Helping Teams Collaborate Better

Introducing Extensions – Helping Teams Collaborate Better

No one wants to write code for one-off use cases. However, too often developers have to build one-off solutions to help a marketing team run a promotion or make a change to their marketing site.  We created extensions, reusable templates built using HTML, CSS and JavaScript, to help both technical and non-technical teams run experiments […]

8 Things You Didn’t Know You Could Do With Optimizely

8 Things You Didn’t Know You Could Do With Optimizely

Optimizely gives us a strategic advantage when building and validating solutions for our clients. To date, we’ve used the platform to run hundreds and hundreds of tests. During this time, we’ve discovered that we can dramatically scale our strategic advantage by becoming more nuanced in how we craft and deploy Optimizely experiments.

Specifically, my Rocket Code colleagues and I have discovered eight core insights and workarounds that empower us to deliver some truly awesome e-commerce firepower. Collectively, these tips will help your Optimizely experiments run faster with fewer errors and more visibility into how users are interacting with the test variants.

Personalization Begins With People

Personalization Begins With People

Today we’re introducing Dynamic Customer Profiles, an actionable, single view of the customer for optimizing experiences with Optimizely Personalization.

Dynamic Customer Profiles are built from behavioral data collected by Optimizely coupled with the data collected by companies across their customer touch points—both online and offline.

This capability empowers businesses to leverage existing data and investments in business intelligence to create experiences that will keep their customers coming back for more.

Headline A/B Testing to Boost Ad Impressions: A Case Study from Ringier

Headline A/B Testing to Boost Ad Impressions: A Case Study from Ringier

Blick, the leading online and print tabloid in Switzerland, has boldly ventured into unchartered territory for most in the media industry: editorial A/B testing. By experimenting with headlines and teaser images, Blick’s editorial team is able to better understand what readers are most interested in, in real time.

How The Next Web Scaled Their A/B Testing Output 100x

How The Next Web Scaled Their A/B Testing Output 100x

About two years ago we started intensifying our A/B testing program here at The Next Web, one of the world’s largest online publications for news about Internet technology, business, and culture. We’ve found A/B testing to be a very powerful way to increase reader engagement — our primary website goal.

In this blog post I’d like to dive into some aspects of the testing program at The Next Web to provide you with some ideas to incorporate into your own testing program.