Smarter strategy

Know who to reach, what to offer, and where to focus before a campaign goes live. Agentic and predictive intelligence turns customer data into sharper decisions before activation.

[Turn customer data into revenue outcomes]

Faster workflows

Move from idea to activation faster, in the workflows marketers already use. Build, refine, and launch audiences with fewer handoffs, less tool-switching, and less waiting on technical teams.

[Faster workflows]

Stronger outcomes

Improve the metrics that drive revenue, from CVR and ROAS to LTV and retention. Performance Accelerators build on enterprise customer data to turn strategy into measurable lift.

[Stronger outcomes]

[Turn customer data into revenue outcomes]

[Faster workflows]

[Stronger outcomes]

Move the metrics CMOs are measured on.

[mParticle image]

Capabilities that compound impact across paid media and lifecycle programs, with measurable lift in as little as two weeks.

Match Boost

Lift match rates up to 2x with one click, so more of the audiences you build can be reached and activated without increasing spend.

Audience Expansion

Grow undersized or saturated audiences from your strongest customer behaviors, increasing addressable reach without defaulting to broad targeting.

Household Reach

Reach or suppress households, not just individuals. Trusted household signals identify related people in your first-party data, so shared-purchase campaigns can reach the buying group or stop spend once someone converts.

Predictive Audiences

Score likelihood to churn, convert, or grow in value, then activate audiences before risk or opportunity passes.

117%+

lift in Meta and Google Ads match rates

How Match Boost drove major audience reach gains across CKE brands

"We saw an immediate lift in reach after enabling Match Boost. It helped us connect with more of the audiences we'd already invested in, without any incremental effort, and we're excited to see how Match Boost can become a larger part of our campaign strategy."

Cathy McGill

Director Digital Products

6.5M

incremental yearly revenue

How Marks & Spencer drove revenue growth with real-time segmentation and personalization

M&S boosted revenue with mParticle by leveraging real-time data for personalized experiences, resulting in 6.5M incremental yearly revenue.

Read customer story

8.5x

higher revenue with Predictive Audiences.

Tatcha drives 8.5 higher revenue with Predictive Audiences.

Tatcha used Predictive Audiences to identify high-intent shoppers and serve them the right offer at the right moment. 8.5 higher revenue, 5 higher conversion, no added tech or headcount.

Read customer story

Performance solutions across acquisition and lifecycle.

[Find more customers like your best ones]

Find more customers like your best ones

Use first-party data to grow your customer base for less. Use real-time suppression, leverage lookalike models, personalize content, and test your marketing effortsall in one platform.

Learn more