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mParticle

mParticle

Overview

What is mParticle?

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…

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Recent Reviews

mParticle Review

7 out of 10
January 17, 2023
Incentivized
This is our main customer data platform where we funnel multiple data sources into specific downstream tools/platforms.
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Pricing

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What is mParticle?

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.

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.mparticle.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is mParticle?

mParticle Video

Learn what mParticle is and how it can help your team simplify your customer data infrastructure today!

mParticle Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

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.

Reviewers rate Support Rating highest, with a score of 8.

The most common users of mParticle are from Enterprises (1,001+ employees).
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Reviews and Ratings

(22)

Attribute Ratings

Reviews

(1-10 of 10)
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Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
  • Ensure trustworthiness of data.
  • Connect different data sources at a central point.
  • Allow to define where data should be sent to.
  • Debug any data related issues that come from bugs in internal or external services.
  • Some documentation can be improved — incredibly best practices when connecting external services.
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.
Partha Sarma | TrustRadius Reviewer
Score 5 out of 10
Vetted Review
Verified User
Incentivized
We have multiple uses of mParticle
  • as the hub that sends data to all other platforms - GA, Braze, Snowflake, Branch, FB and Google Ads .
  • As the activation platform to create and share audiences
  • As a data governance tool
  • Audience creation
  • Data forwarding
  • Data governance
  • ID Sync
  • The lag is really bad. There is no way to do real-time targteing
It just does its job. Very basic. Reporting is minimum. Error messages don't provide any details to self trouble shoot.
January 17, 2023

mParticle Review

Score 7 out of 10
Vetted Review
Verified User
Incentivized
This is our main customer data platform where we funnel multiple data sources into specific downstream tools/platforms.
  • Ease of setting up connections
  • Consistent data flow
  • No missing data issues
  • Support - often times it feels like they're trying to create a sales opportunity rather than actually provide support - whether it's technical or non-technical.
  • Some connection setups are not as consistent with respect to the procedure of setting up the connection, e.g. setting user identities in Braze.
  • Audiences...definitely not as robust as Amplitude
mParticle is very well suited for a company trying to funnel data without creating its own proprietary data pipeline/infrastructure.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
  • 200+ Integrations
  • Flexibility around what data to send (filters, rules, AWS Lambda)
  • Data Plans and data quarantining
  • UI improvements
  • More advanced querying interface within the UI
  • Livestream for production data
mParticle is a flexible solution for data syndication between myriad inputs and outputs to different and disparate systems.
Score 5 out of 10
Vetted Review
Verified User
Incentivized
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.
  • Easy to use
  • Links to multiple platforms
  • Good customer service
  • could have a better troubleshooting guide
  • errors aren't explained well
  • the monthly limits based on MTUs
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.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Send server to server events to several platforms simultaneously Send audiences to external platforms.
  • Audience segmentation
  • Server data ingestion
  • Client services
  • Lookback window for events
  • Number of audiences available
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
Mark Gibaud | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use mParticle as our central CDP along with a variety of inbound & 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.
  • Great Accelerator program for Startup companies
  • Best-in-class customer/technical support
  • Easy management of inbound & outbound data stream integrations
  • Debugging data issues via the dashboard
  • Audience/dashboard functionality
  • Moonshot: Being able to express integration configuration via code!
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.
Score 6 out of 10
Vetted Review
Verified User
Incentivized
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.
  • Forwarding Data.
  • Built in connectors.
  • Easy to use interface.
  • UI for events for customers takes time to update, its unreliable.
  • Hard to inspect the data once its inputted.
  • Not possible to link data with other non-customer related data.
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.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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).
  • Collect customer data from multiple sources.
  • Integrated with wide breadth of vendors and verticals.
  • Helps track unregistered user data into registered user data.
  • As more partners are integrated often takes communication between both companies to properly implement. Helping solve more of this cross-communication tech implementation through more detailed documentation would smooth the process out even more.
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!
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use it to capture the main events and metrics from our communication efforts to then integrate this information to Amplitude.
  • Data availability.
  • Data governance.
  • Data accuracy review.
  • Having more analytics features to transform variables.
To capture real-time data is excellent. In terms of transforming the data into new variables to create user attributes it could improve.
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