Dynamic Yield calls itself an AI-powered Experience Optimization platform that promises to deliver individualized experiences at every customer touchpoint: web, apps, email, kiosks, IoT, and call centers. The platform’s data management capabilities provide for a unified view of the customer, allowing the rapid and scalable creation of highly targeted digital interactions. Marketers, product managers, and engineers use Dynamic Yield for: Launching new personalization…
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LaunchDarkly
Score 8.1 out of 10
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LaunchDarkly provides a feature management platform that enables DevOps and Product teams to use feature flags at scale. This allows for greater collaboration among team members, and increased usability testing before full-scale feature deployment.
We’re running on a Single Page Application, so we were looking to partner with a technology vendor who can seamlessly integrate with SPA environments and allow us to dynamically modify, test, and personalize various elements on our app screens. Prior to Dynamic Yield, we were working with Optimizely and encountered huge challenges integrating with our SPA infrastructure.
If a new feature should be added but unsure of how it will actually work or how users will accept the new enhancement or change, this tool allows you test and measure initial results. This saves so much time and energy knowing the results before it is deployed and might have low user adoption or acceptance.
Provide fantastic support, both in relation to strategy/best practice and troubleshooting.
An easy to use interface, as a user who is relatively new to Dynamic Yield I find that it is an intuitive platform to use.
The ability to segment and drill down on data allows for really specific insights which, whilst not necessarily being leveraged on a testing basis, can be super valuable from a greater marketing perspective.
A/B or Multi Variant Testing as a methodology to gather insight from customer usage. Experimentation as a feature within LaunchDarkly offers information around the success of one variant over another and whether the experiment has reached statistical significance.
Being able to decouple deployment of code from the release of a feature is hugely valuable.
Development teams are empowered to manage features within their production applications for reliability or testing purposes.
Greater flexibility for the out of the box templates - things such as typeface are not consistent and can require developer time to ensure a seamless site experience
Exporting datasets don't necessarily reflect the way Dyanmic Yield is implemented on site, occasionally requiring that you go through experience by experience to extract the data you want
I would like to see a more customizable homepage dashboard with the ability to modify the content of widgets, showing trends across multiple experiences rather than just being able to update the timeframe for a widget between Yesterday, Past 7 Days, or Past 30 Days before having to deep dive into a full report
implementation took a long time but also, DY has really proven that they are transforming and adapting their platform to be more user friendly and the right technology choice for their brand or company
Overall, the interface is not difficult to understand. Although to create campaigns or define strategies for recommendations, some study is required.
Also, some reports are hidden, you really need to know where to look in order to see them (e.g. strategies performance or email campaigns performance).
Also, there is a lack of context help that would improve a lot the usability, especially when you face a feature or a report for the first time.
It's very easy to create new feature flags and set them properly. It is more difficult to get LaunchDarkly integrated within a distributed system so that flags can be used. Especially on stateless servers where gating features by user is not easy. Overall though, it is very easy to get started and I like how simple it is to use.
From what I have seen, LaunchDarkly integrates well with your code and also services you might have in your tech ecosystem. We use Jenkins for automation and we were able to use it to build pipelines to automate the control of LaunchDarkly toggles in our code.
Allison Schwartz, Customer Success Manager at Dynamic Yield has been nothing less than amazing and stellar! She really sets the standard for customer success and support. Their technical support is fast and reliable, and their educational resources are top of the line
Oracle Maxymiser is very clunky and hard to code with. Previewing changes was a challenge and development for fixes were slow
Optimizely - Great for coding. Fast and efficient. Everything worked great. They were limited at personalization triggers though and their costs were expensive.
Monetate - Evaluated but their UI was hard to use.
LaunchDarkly stood out to us because it put control of the application within the hands of our engineers. We didn't want to allow business users to manipulate the production site via a third-party tool. Instead, our focus was on delivering faster as an engineering team.
Most tests have had a positive impact on either revenue or conversion rate - quite often in double digits.
Dynamic Yield has also helped us to stop some particular initiatives through direct interaction with the customer base via questionnaires or by a test proving negative quicker than rolling out a permanent feature.
Improved developer experience with some teams moving to Trunk-based Development.
Increased deployment frequency due to smaller code releases.
Validation of the technical and business value of work is achieved more quickly through smaller pieces of work and through experimenting with a small group of users before a feature gets to 100% of customers.