Amplitude Analytics vs. Hull CDP, from MessageBird

Amplitude Analytics is well suited for scenarios where you have multiple data points to understand customer behavior and journeys and utilize simple to medium complexity graphs/charts. It may not be suitable for scenarios where you need to slice and dice data into highly customizable dashboards as that requires significant effort from technical teams.

Incentivized

Hull is definitely the leading CDP for the small to mid-sized business in which the marketing team wants or needs to have a fair amount of autonomy from engineering, or when it's unrealistic or cost-prohibitive to use internal engineering resources to maintain the marketing database. It's also a great choice for companies who are trying to bring newer and smaller best-of-breed elements into place in their marketing--enabling you to sync customer data records to CTAs/ Chat scenarios/ Email Service Providers, or any type of 3rd party campaign tools. It's probably not the best fit for companies trying to stay in a larger Marketing Cloud Ecosystem, e.g. Adobe/ Oracle.

Incentivized

• Feature analytics - measuring frequency of usage
• Time taken by users to convert in funnels
• Actions that drive certain user behaviors in funnels via correlation
• Actions that lead to user drop off in funnels via correlation
• Comparing behavior of two custom user cohorts

Incentivized

• Slack integration - we revolve around slack as our central comm hub and having our customer information surfaceable is just gold.
• Making back-end data easy to read and digest - there is a lot of data that gets generated by our customers and it's impossible to sift through without Hull consolidating that information for us.
• Customer support - we have only had a couple issues in the many months using Hull and it's always been a quick resolution. They use Slack to support BTW which I love.

Incentivized

• Some more clarity and examples of implementation with GDPR in mind
• Some segregation inside user properties can be difficult to implement
• Splicing information inside funnels could be more intuitive
• User support for the cheaper tiers is hard to access
• Pricing transparency really needs to be improved

• Needs a deduplication engine
• Needs to be able to perform bulk and automated data cleansing (unified data is messy)
• Needs to integrate with more tools
• Needs to be able to be tailored to different use cases, such as a retail/ecommerce use case, with RFM metrics

Incentivized

I haven't used the Amplitude support other than their training docs so I can't speak too much to the in-person support but the docs are serviceable. Nothing too crazy but between the user tips, email notifications, and the decent number of docs I was able to get the support I needed to ramp up on the tool.

Incentivized

It's the best in class with all the bells and whistles. Other options could suit you just fine at a lower price point, but you need to be sure of what you are not getting and the switching cost associated with when you do need it.

Incentivized

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

Incentivized

• It collects data of great importance which allows to make product improvements.
• It easily identifies problems a user may have with the product.
• The flow of users who have used the product has improved, thus being able to generate more income thanks to the improvements and new functions.

Incentivized

• Positive: No longer asking engineering for customer activity data
• Positive: Allowing additional data integrations for where our customer activity data can be seen

Incentivized