mParticle Reviews and Ratings

Use Cases and Deployment Scope

We have multiple uses of mParticle

<ul><li>as the hub that sends data to all other platforms - GA, Braze, Snowflake, Branch, FB and Google Ads . </li><li>As the activation platform to create and share audiences</li><li>As a data governance tool</li></ul>

Likelihood to Recommend

It just does its job. Very basic. Reporting is minimum. Error messages don't provide any details to self trouble shoot.

Use Cases and Deployment Scope

This is our main customer data platform where we funnel multiple data sources into specific downstream tools/platforms.

Likelihood to Recommend

mParticle is very well suited for a company trying to funnel data without creating its own proprietary data pipeline/infrastructure.

Use Cases and Deployment Scope

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.

Likelihood to Recommend

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

Use Cases and Deployment Scope

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.

Likelihood to Recommend

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.

Use Cases and Deployment Scope

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

Likelihood to Recommend

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

Use Cases and Deployment Scope

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.

Likelihood to Recommend

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.

Use Cases and Deployment Scope

We use mParticle as our central CDP along with a variety of inbound &amp; outbound data integrations powering our data platform. Inbound integrations include our mobile app, web app, and backend services. Outbound integrations include Mixpanel, Branch, Algolia, Iterable, S3 and custom webhooks. We rely on mParticle to receive and ship data between various services that operate the business.

Likelihood to Recommend

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.

Use Cases and Deployment Scope

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.

Likelihood to Recommend

If you have a small/medium company with no data &amp; 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.

Use Cases and Deployment Scope

Our company leverages mParticle to ingest data from multiple client-facing platforms and backend services. This allows us to properly aggregate all our data into a single source of truth. We then are able to utilize this data downstream for customer engagement, analytics, and other technical event-driven needs(ie, feature flags).

Likelihood to Recommend

Works well for multiple platforms. Easy to aggregate all your data across multiple platforms into a single source of truth. Integrates with many downstream vendors making it easier to get the most out of your partners( customer engagement platforms, analytics, attribution, feature flagging, etc.). The interface takes some time to get used to in the mParticle dashboard, but the support from the mParticle team is always responsive and available to solve all needs!

Use Cases and Deployment Scope

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

Likelihood to Recommend

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