mParticle Reviews & Insights

To support a wide variety of customer journeys, we collect user behavior data from our apps, backend, and external services. mParticle helps us to ensure we have accurate and trustworthy data to drive those journeys. It checks all incoming customer data to match our data plan and only forwards data that is valid. All or parts of the data are then forwarded to external services we use for user behavior analysis, sending customer journey notifications, and many more.

If you can't trust the data you get into your customer journey service or user behavior analysis tool, mParticle can make a difference quickly. We used it to great success getting from untrustworthy data to reliable data in no time. If you already have a great data pipeline or use a user behavior analysis tool that includes checks for ensuring the trustworthiness of data, you might not need mParticle. If you have a lot of external or internal services you need to connect to your customer data, then mParticle is definitely worth looking at.

We initially started using Mparticle as a CDP. Starting using it to ingest first-party events from the mobile apps and use the Service to service integrations to ingest data from our APIs. The main use case was to sync data downstream to other 3rd party applications like Iterable, mParticle, etc.

If you have a small/medium company with no data & Insights team or a very small engineering team, it could work to connect the different apps and consolidate your customer data in one place. As soon as it starts growing and requirements become more complex to link external data.