mParticle

Score8 out of 10

24 Reviews and Ratings

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.

Categories & Use Cases

Mark Gibaud View profile

CTO (Chief Technical Officer) in Information Technology at vTail (11-50 employees employees)

Use Cases and Deployment Scope

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.

Pros

Great Accelerator program for Startup companies
Best-in-class customer/technical support
Easy management of inbound & outbound data stream integrations

Cons

Debugging data issues via the dashboard
Audience/dashboard functionality
Moonshot: Being able to express integration configuration via code!

Most Important Features

Inbound/integrations or data piping
Dashboard functionality
Technical support

Return on Investment

Able to get data-shipping up and running between variety of vendors in record time and without maintenance burden
Allows us to quickly set up and use best-in-class vendors for various use cases (Analytics, Attribution, etc)
Easy to extra your raw analytics data to do any custom work yourself

Alternatives Considered

Twilio Segment

Other Software Used

Algolia, Twilio, Mixpanel

Partha Sarma View profile

Senior Data Analyst in Marketing at AKQA (201-500 employees employees)

Use Cases and Deployment Scope

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

Pros

Audience creation
Data forwarding
Data governance
ID Sync

Cons

The lag is really bad. There is no way to do real-time targteing

Most Important Features

audience creation

Return on Investment

We can target users easily by creating audiences based on user activity
We can ingest data from multiple sources
We can use data from multiple sources to create audiences

Other Software Used

Braze, Snowflake, Branch, Google Analytics 360, FullStory

Verified User

C-Level Executive in Engineering (11-50 employees employees)

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.

Pros

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.

Cons

Some documentation can be improved — incredibly best practices when connecting external services.

Most Important Features

Data Plan.

Return on Investment

Engineering time and time spent testing new data tracking have been greatly reduced.
Switching to a new setup for our user behavior analysis tool was done within one day. Thanks to backfilling support and easy setup within mParticle's dashboard.

Alternatives Considered

Amplitude Analytics

Other Software Used

Slack, Bitrise, UserTesting

Verified User

Manager in Product Management (201-500 employees employees)

Use Cases and Deployment Scope

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

Pros

Ease of setting up connections
Consistent data flow
No missing data issues

Cons

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

Most Important Features

More options for data connections
Consistent data flows
User behavior deep dives

Return on Investment

This might be less of an issue with mParticle, but often times we found ourselves troubleshooting discrepancies between what mParticle showed vs downstream analytics platforms, more so than troubleshooting the issue itself.

Alternatives Considered

Amplitude Analytics

Verified User

Partner in Product Management (10,001+ employees employees)

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.

Pros

200+ Integrations
Flexibility around what data to send (filters, rules, AWS Lambda)
Data Plans and data quarantining

Cons

UI improvements
More advanced querying interface within the UI
Livestream for production data

Most Important Features

Data Syndication
Data Governance
Data Privacy Controls

Return on Investment

Ability to send data across systems
Near real-time data syndication
Opens up innovation opportunities

Other Software Used

Google Analytics, Microsoft Teams, Miro, Jira Service Management