mParticle Reviews & Insights

mParticle provides the capability to collect and syndicate customer data in secure way through several integrations with our technology partners and vendors. The added flexibility of filters to transform or remove data from feeds, or leverage AWS Lambda functions makes it easy to only send the data we need, in the right format. We are also able to leverage their Data Privacy Controls to support our compliance with regulations and laws.

mParticle is a flexible solution for data syndication between myriad inputs and outputs to different and disparate systems.

We use MParticle to port segments we create through ADP to our respective platforms. These are ACR segments that are valuable for our digital campaigns.

I believe my team only has MParticle for a particular use case, so I can't really say for other scenarios where it is less appropriate. For our needs, Mparticle works well in order to port the audiences we need to most of our necessary platforms. The drop off isn't too significant either, so these audiences are scalable which is important as well.

Send server to server events to several platforms simultaneously Send audiences to external platforms.

Well suited for enterprise companies that can afford the full extent of the product (not light versions) and has many millions of customers to manage

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.

We use it to capture the main events and metrics from our communication efforts to then integrate this information to Amplitude.

To capture real-time data is excellent. In terms of transforming the data into new variables to create user attributes it could improve.