Optimizely Web Experimentation Reviews & Insights

Within my organisation I have been mainly leveraging the Optimizely Web Experimentation platform to support our efforts in improving the conversation rate of our selection of products. I've gradually been growing in confidence and exploring the wider features of the tool to make the most of the various features. I started out with more basic experiments to get onboarded with the platform, and quickly found how easy it was to set up multiple variations and segments to narrow the focus. I've had a mix of results across or experiments but I'm constantly learning what works for our audiences and iterating the more familiar I become with the platform. This year is going to be a big focus on our content and webpage structure. I want to ensure I get the right information in front of our customers so they can make informed purchase decisions.

I have found Optimizely has been really useful to run some quick experiments to validate the approach to changes to the website, exploring multiple options simultaneously to save time and effort prior to making more permanent changes with our development team.

The biggest challenge has been ensure ideas from the wider business have all the necessary criteria to make them a worthwhile experiment. Encouraging stakeholders to create a proper hypothesis for each experiment has helped focus the minds on the outcomes we're expecting. This also makes the analysis easier once we've concluded a test.

Currently, we are collaborating on brain storming sessions on how to deliver more specific details to our customers. We pair that with the content management platform so we can connect the better ideas to the existing products we have to, hopefully, create a more diverse product offering then what we currently offer.

Designing custom and meaningful 1:1 experiences is one of the best examples I can give where you need to try Optimizely Web Experimentation. The way you can craft your content to very specific use-cases is worth it all alone. If you are looking for a cookie cutter generic tool, this isn't for you.

The product helps us test and optimize how we sell our packages online. Instead of just offering individual products, we want to see if promoting bundled packages performs better. We mainly use A/B testing to compare different versions of pages that lead to our package offerings. We also use personalization to tailor content based on the user’s region, so they see more relevant messaging or offers.

I have had the opportunity to use Optimizely Web Experimentation before being part of EpiServer then moving to using AB Tasty with is robust editor and ROI reporting to the new Optimizely Web Experimentation platform. Optimizely has gotten a lot better over the years. It is now equipped with great algorithm features and reporting is much robust. I really hope to see their ROI reporting come live and offer great information for my stakeholders.

Optimizely web experimentation is used within our CRO program and to test out site wide changes for typography, buttons, etc. It assists in QA and improving conversion on our pages. It also allows us to implement changes before our development team can create a fully integrated option.

Highly suited when you have a team that needs to produce web test quickly and efficiently.

We use Optimizely Web Experimentation platform to do A/B testing for different widgets on our website. Anytime we are working on creating a new page layout, and we are unsure which design/widget/layout is going to be good, experimentation seems to solve the problem. It acts in the same way how google optimize used to work but it is little complex in comparison to that.

The Optimizely Web Experimentation is well suited for scenarios where you want to test out different layouts of a webpage and do A/B testing for certain widgets. It is not good for cases where you have to do multiple testing of different widgets. As although it offers that option but it is super complicated to learn and understand it.

Our organization uses Optimizely Web Experimentation mainly for multivariate testing. It simplifies the major business problem by addressing conversion rate optimization (CRO). Utilize this to test different product page variations, landing pages, and checkout flows to enhance conversion rates and customer engagement. Increased the best-performing elements, responsible for driving sales, user interactions, and sign-ups by updating content, CTA, and page design.

Best for CRO initiatives, including testing variations of landing pages, user flows, and product pages. Optimizely may not be suitable for more complex machine learning models. To analyze the effect of the feature usage the way we will do in our solution. Using the audience to measure the success of the features Also, to the best of my knowledge, Optimizely is the only tool that can do all this.

It is used for A/B testing across all of our web pages for 6+ different channels. It is used to determine implementation for site improvements and I use it daily in my role as a CRO specialist. I launch 3-6 A/B tests per week so I am constantly in Optimizely tracking data for each of my tests and monitoring any temporary fixes that we call a Hotfix that is live on our web pages.

I love Optimziely and it has personally been my favorite platform to use for web experimentation. It has helped me fully understand testing when it comes to data interpretation due to the fact it is so detailed on the reporting and I appreciate the high level overviews it has when it comes to each tasks listed on the experiments you create.

We present multiple product offerings to our customers, but what order makes the most sense? Should we lead with our most premium product or catch their attention and then have them discover better options? Does the same work for every customer? (Not likely) - this is where web experimentation is helping us.

For use cases, it's not just about testing one feature against another but also about how some backend logic changes might impact customer behavior.

We use Optimizely Web Experimentation as part of our growth and innovation for our digital channels - increasing top of funnel conversion and connecting it to downstream revenue generation impact. We also utilize it on our product org as a design validation and pseudo-feature testing tool. We've got a robust program that delivers 100-150 tests a year and have a high win rate, with testing informing our product roadmap and winning results handed off to product to prioritize and code for production release.

If your org needs to experiment to better validate choices and outcomes but can't invest in development resources and project management then Optimizely Web Experimentation will get you started. Similarly, if you're looking to move fast and flexibly to generate value at speed then Optimizely Web Experimentation is the tool for you.

We have a specific frontend team to build quick experiments on our website. We measure the performance of these experiments, which later help us to take informed decisions about whether they are worth building in our platform. Unfortunately, it is not a straightforward tool for someone without technical knowledge to build these experiments as you still need to know about JavaScript and CSS.

Optimizely Web Experimentation is excellent for companies that want to invest an initial effort in building experiments to validate their hypotheses. I would not recommend this tool for small companies that don't have some development resources to conduct these experiments unless your experiments are simple, like changing colors, texts, or the position of some items.