Hull CDP was a real-time rule and action engine that provided SaaS and Ecommerce businesses with more control over their customer data. Hull was acquired by MessageBird in April, 2021, and is no longer available.
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mParticle
Score 8.0 out of 10
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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.
Hull provided a visual interface for contact profiles. I needed something more robust than a CRM (Pipedrive), and certainly more robust than a spreadsheet tool like AirTable. The built-in segmentation engine is powerful if the data is clean.
We had initially identified Segment as a solution due to the number of integrations they supported. The problem is that with Segment we would have still had to build and maintain a database along with query tools. Overall Hull emerged as a better starting point for us.
We actually use Segment as well as Zapier so I don't think I answered this part of the question correctly. Here's the piece, aggregating and connecting your systems is a challenge. Segment and Zapier will help connect your systems together but they will not necessarily help you …
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.
If you are a fast scaling team using segment and slack, Hull is a must. For your sales reps trying to understand the activity of customers/prospects/users of your applicaiton, there is no easier way to surface that information than using Hull. We've been thoroughly impressed by the wide use cases and integrations Hull can offer and we use it many times a day. 100% would recommend this tool
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.
Good fit for our SME marketing/ Sales Tech stack. Integrations like HubSpot and Clearbit are native and easy to use within Hull- and it was one of the only providers that fit that criteria when we were vetting options.
Ease of Use. Hull is fairly intuitive for a casual user. The only real questions that came up for us were doing the data-mapping phase when we mapped fields against Hull.
No database to maintain. A critical selling point for us, and something which has freed up a fair amount of engineering time on an ongoing basis has been that Hull, unlike Segment, didn't require us to maintain a database.
I am not sure about new features, if they are rolling out or what!
It might also be valuable to see the responsiveness of things triggered through Hull, sometimes data takes a bit longer than expected to trigger a workflow (but never really more than a minute so not a huge deal really...)
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
We had initially identified Segment as a solution due to the number of integrations they supported. The problem is that with Segment we would have still had to build and maintain a database along with query tools. Overall Hull emerged as a better starting point for us
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.
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.