The mParticle customer data platform supports data collection from a wide variety of sources and provides standardization, cleansing and deduping, and tags, as well as data enrichment via scoring, contextual or behavioral data, as well as segmentation and customer profile management.
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Zaius (discontinued)
Score 7.7 out of 10
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Zaius, or Optimizely Data Platform after being acquired by Optimizely in March 2021, was a a customer data platform, or as the vendor describes it, B2C CRM. It helped B2C marketers grow revenue from their existing customer base using segmentation, personalization, marketing automation, and attribution tools. It is discontinued.
We are definitely aware of Amplitude CDP and how they are constantly making updates to their CDP to make it better. If their offerings are a lot better than mParticle's, it might make sense to jump ship to Amplitude since we already use them for Analytics anyway.
mParticle has a bigger catalog of services you can interface with and provides a more complete check for data integrity. It also allows you to use any analytics solution.
Optimizely Data Platform has a friendlier interface than most and feels more custom. If we have an idea we would like to implement, we know that it's possible to do so with ODP - it may take a bit of time and it might not be the most intuitive implementation, but it is …
Optimizely Data Platform is a natural step up from Mailchimp, with a more robust platform designed to help companies with a growing list size and send volume. Similar to Mailchimp, Optimizely Data Platform is super easy to navigate from the get-go. Ultimately, we decided to …
We have a fairly custom business model that includes a subscription membership. Grin wasn't able to tailor their platform to suit our needs. Zaius was able to easily make it happen. We still use Klaviyo as our ESP.
Do not integrate multiple analytics / customer messaging / download attribution SDKs into your mobile or web apps, duplicating data and risking a fragemented view of the customer. Instead integrate mParticle as a CDP, and configure the necessary integrations which will enable you to progress towards a world of the single-view of the customer. Also works great to import historical data into a newly onboarded/integrated tool.
During high-volume communication times such as Black Friday and the holidays, Optimizely Data Platform's ability to allow us to seamlessly target (or exclude) certain audiences has enabled us to effectively interact with our customers without overdoing things. However, we would like to have the ability to send auto-order updates during peak volume times, as this would alleviate pressure on our customer service department.
They finally have gotten on-site recommendations, hooray! I wish it happened sooner, and it is still early in its development, so I would say some things take longer than I would hope to do. But who does not feel that way about everyone? The key here is it gets done, and they keep improving things, which I love.
I would like there to be more opportunities to use it outside of eCommerce. I would love to use it for content-specific sites, but honestly, that is not what it was built for, so I will shut up about that now.
It's a great tool for beginners but not scalable to advance use cases. It's not it's a fault in our case, because any platform is as good as the data collected
There's so much that needs to be improved and it seems like not much has happened since Optimizely first took over. When Optimizely did take over, they reduced the UX of campaign reporting.
Positive - Onboarding was quick and easy. Positive - Access to a Zaius data analyst has been wonderful. Negative - I don't know who our CSM is if we even have one.
We have a home built CRM. From start to finish our implementation was a nightmare loaded with problems that destroyed my initial trust with the platform.
mParticle has a bigger catalog of services you can interface with and provides a more complete check for data integrity. It also allows you to use any analytics solution.
Optimizely Data Platform has a friendlier interface than most and feels more custom. If we have an idea we would like to implement, we know that it's possible to do so with ODP - it may take a bit of time and it might not be the most intuitive implementation, but it is possible. With other platforms, there is less room for creativity, and many ideas that you may come up with will, unfortunately just not be possible to implement.
This might be less of an issue with mParticle, but often times we found ourselves troubleshooting discrepancies between what mParticle showed vs downstream analytics platforms, more so than troubleshooting the issue itself.