Convert Experiences is an experimentation platform that offers the features & support you need to run A/B tests across multiple growth channels. Its enterprise-ready advanced features include full stack experimentation, multi-page testing, post-segmentation, targeting with 40+ filters, triggering tests based on data in other apps (data sources), complex goal tracking, and a secure API. Self-service pricing starts at $99 per month (for the Community Web plan). Includes…
$499
per month
Dynamic Yield
Score 9.1 out of 10
N/A
Dynamic Yield is presented as an AI-powered Experience Optimization platform that delivers 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, to allow 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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Pricing
Convert Experiences
Dynamic Yield
Editions & Modules
Basic
$499
per month
Growth
$999
per month
Expert
$1599
per month
No answers on this topic
Offerings
Pricing Offerings
Convert Experiences
Dynamic Yield
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
1. Annual contract or monthly payments available.
2. Pricing is not feature dependent. Some features like integrations, goals, Live Logs are necessary to test successfully. This is why Convert caps by unique tested users - basically visitors who have been bucketed to see a variation and are unique to that variation. As a result the app tested users are always </= the site's net traffic.
Definitely well suited for budget conscious companies that want a solid array of functionality but without having to pay an exorbitant amount. Great for marketing and analytics team members that need the ability to get in and set up tests w/o dev assistance. But, functionality is there for developers to get in and set up more complicated tests.
Dynamic Yield is great for just about any sized organization, though to get the best bang for your buck, I recommend having a front-end web developer well-versed in JavaScript. Additionally, a front-end web designer would be advisable as well as their templates have great functions but some have lackluster UI's that can't be tweaked without developer assistance. Were it not for the above + the occassional slowness on the console/admin-side of the platform, I'd give it a 10. If you have a front-end dev/designer, then it's closer to a 9.5. Ideal utilization scenarios could include: Personalization, CRO/UX/UI testing, and audience or user-level tailored digital experience.
Over the top powerful Javascript enabled targeting. This feature is called DMP Profiling and is available in the Pro Plan, currently only +$100 more than the plus plan. An article explaining this feature is here for further reading: https://convert.zendesk.com/hc/en-us/articles/206631623-Target-experiment-based-on-a-custom-Javascript-condition-that-evaluates-true-at-a-later-stage. I wrote up a much longer explanation but TR broke it up weirdly. The gist is that you can powerfully use JS to target. This allows me to target users in our SPA in incredibly advanced ways. I can walk their entire history model and assign them an audience value, or I can exclude them. It's MUCH more powerful than just a "Site Area" tool. We recently used it against 900K users to check if they had written a review of their apartment or not yet. This allowed me to only expose the user on the homepage to an experiment that prompted them to write a review while excluding users that couldn't write a review from the experiment (because they had already written one). The experiment converted 50% better than what we do now, generating 9k reviews in a matter of hours.
Audience targeting IN ADDITION to all that fancy DMP targeting. This means I can define demographics or other data as a qualifier AS WELL as the previously mentioned qualifier. This can be setup in so many ways: Traffic source, Visitor Data, Include / Exclude users part of a current experiment (!!), Date/Time, Device/Browser/OS, JS Conditon
Real-time reporting that makes sense to the whole company to view. Seriously, I can share a Convert Report to any level of intelligence on my team and they understand what's happening.
Audiences and Goals are saved as presets, so your entire team can use them. Using the example above, we have an audience called "Wrote a Review" that we exclude from the Review Prompt treatments.
Their customer support is seriously fast at answering questions. I've never had to wait more than a day.
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.
We are aggressive testers and have demanding clients, and if there was any part of the Convert platform where I'd like to see improvement, it would be in the reporting section where I feel a vertical report could present in a more readable fashion to the users.
The impact (either positive or negative) of potentially overlapping campaigns, especially the UX personalization or custom code campaigns, may not be easily identifiable.
It would make more sense for the new deep-learning and machine learning (ML) driven strategies be made part of the standard offering, as opposed to positioning them as add-on subscription, given that many other completing services are baking in ML as part of their platform evolution.
The documentation on the API and custom code implementation can be fleshed out further.
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
To use the platform in the context of developing enhanced tests that stretch the platform there is as with most things a learning curve. However, if you're a casual user or have standard experiments that you wish to run you would be easily able to hit the ground running.
Setting up strategies, audiences, and experiences is simple and fast. It is incredibly easy to modify the appearance of your site and optimize every aspect with the Dynamic Yield Personalizations. However, while the data visualization on an experience level is easy to modify and analyze, exporting the data in meaningful ways is time consuming.
Overall, the support is very good. If you are a partner (my case), they assign you a customer success manager, that helps a lot. Also, there is a technical person to provide support to the partners, again a great help.
My only "complain" is that with some complex issues, the support may delay in providing you with a solution. Sometimes that can cause some tension with your client.
Convert was selected based on price point, feature set, and UI/UX. All three are very friendly to new testers and small to mid-market size companies. Their UI and tool workflow is the best out of all of the non-enterprise solutions that I have tried. There is some small room for improvement, but that only really affects power users or tests that require significant coding/development work to execute.
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.
Using Convert has allowed us to make quick decisions on site edits and price changes. Seeing and sharing quick results makes our operations much more profitable.
Connecting the tests with Shopify has produced very valuable and timely results that we can act upon as soon as we see statistically significant results.
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.
