Aftersell
mParticle
MPARTICLE BY ROKT

Compound Outcomes with Real-Time Relevance

Activate first-party data to deliver precise targeting, relevant experiences, and measurable growth.

Learn more at mParticle.com
A man in business attire with a backpack walks past a modern stone wall in the late afternoon sun. A digital overlay displays his name—John Smith—and identifies him as an iOS app user. A promotional prompt offers a 10% off coupon when detected at a specific location, emphasizing geo-targeted marketing.
for ecommerce partners

Unlock more value at checkout

Maximize AOV, reduce churn, and deliver relevant upsells with real-time data activation.

Convert more prospects

Turn unknown visitors into actionable customer profiles to boost personalization and drive conversions.

Smarter upsells, bigger revenue

Surface the most relevant cross-sells and sponsorships at the perfect moment to boost AOV.

Monetize every transaction

Turn the Transaction Moment™ into a profit center by improving margins and lifetime value.

Privacy-first data collaboration

Enable secure partnerships through encrypted clean rooms for high-performing sponsorships.

A man wearing a cream-colored cap and patterned shirt looks confidently toward the camera in warm natural lighting. Overlaid UI identifies him as John Williams with a unified profile and high purchase likelihood score (0.9). Additional attributes include average order value, preferred channel (email), and a suggested next product—Puma Crew Tracksuit—indicating data-driven personalization.
A predictive analytics dashboard displays a panel titled “Predictive Attributes” showing 27 available metrics. It includes active predictions like likelihood to purchase in the next 7 days, place a high-value order, engage with a cross-sell, or redeem a discount code. To the left, segments show user likelihood ranges categorized from top users to least likely, and to the right is a curved prediction graph indicating model confidence.
An infographic shows a secure and compliant data-sharing model. On the left and right, ecommerce and advertiser partners collect real-time user data, which flows into a central “Data Clean Room.” The central area features icons of user groups and text emphasizing encrypted, privacy-first collaboration with no personally identifiable information (PII) exchanged, enabling safe cross-brand data matching.

Convert more prospects

Turn unknown visitors into actionable customer profiles to boost personalization and drive conversions.

A man wearing a cream-colored cap and patterned shirt looks confidently toward the camera in warm natural lighting. Overlaid UI identifies him as John Williams with a unified profile and high purchase likelihood score (0.9). Additional attributes include average order value, preferred channel (email), and a suggested next product—Puma Crew Tracksuit—indicating data-driven personalization.

Smarter upsells, bigger revenue

Surface the most relevant cross-sells and sponsorships at the perfect moment to boost AOV.

A predictive analytics dashboard displays a panel titled “Predictive Attributes” showing 27 available metrics. It includes active predictions like likelihood to purchase in the next 7 days, place a high-value order, engage with a cross-sell, or redeem a discount code. To the left, segments show user likelihood ranges categorized from top users to least likely, and to the right is a curved prediction graph indicating model confidence.

Monetize every transaction

Turn the Transaction Moment™ into a profit center by improving margins and lifetime value.

Privacy-first data collaboration

Enable secure partnerships through encrypted clean rooms for high-performing sponsorships.

An infographic shows a secure and compliant data-sharing model. On the left and right, ecommerce and advertiser partners collect real-time user data, which flows into a central “Data Clean Room.” The central area features icons of user groups and text emphasizing encrypted, privacy-first collaboration with no personally identifiable information (PII) exchanged, enabling safe cross-brand data matching.
for advertisers

Unlock higher ROAS with first-party data

Reduce wasted spend, improve targeting precision, and drive more conversions in real time.

Precision audience targeting

Build high-value lookalikes with real-time LTV signals to scale smarter acquisition campaigns.

Stop wasting ad spend

Suppress converted users and low-intent audiences instantly to improve CPA efficiency.

Optimize and scale in real time

Feed live conversion data into ad platforms to refine targeting, bidding, and ROAS continuously.

Activate safely, perform better

Use first-party data to drive performance with privacy-safe activation and campaign exclusivity.

A woman stands confidently outdoors in a light beige top with a castle-like structure blurred in the background under a bright blue sky. A transparent UI overlay displays a dynamic filter-building tool, showing “Product Purchase was completed where Cart Value is greater than...” with a dropdown for conditions, visually representing real-time audience segmentation or rules-based personalization.
A smiling man with glasses and a bald head sits in a warmly lit room, holding a pen near his chin. Overlaid UI elements show a menu of marketing actions, with “Sync ad audiences” (highlighted with the Meta logo) selected. Other options like “Send SMS personalized offer” and “Update ad suppression list” appear grayed out, suggesting campaign setup or audience targeting in a digital marketing platform.
An infographic on a black background illustrates the flow of real-time data from an unknown user to actionable insights. The process includes five stages: Discovery, Enrichment, Activation, and Measurement—each contributing to “Real-Time Relevance.” Arrows show how data is collected, segmented, enriched, used in campaigns, and measured for performance. The bottom section highlights governance and privacy controls, and platform integrations including Google Ads, Meta, Braze, and 300+ others.
Diagram illustrating secure and compliant data sharing through a "Data Clean Room" model. In the center, a cluster of icons representing anonymized user profiles is labeled “Data Clean Room,” which enables encrypted, privacy-compliant collaboration without exchanging personally identifiable information (PII). To the left, an “Ecommerce Network Partner” collects real-time data from multiple sources and feeds it into the clean room. On the right, an “Advertiser Brand Partner” also contributes real-time data, similarly resolving it into a single profile. Security and compliance standards like AICPA SOC 2, ISO 27001, MFA, SSO, GDPR, CCPA, and LGPD are displayed at the top.

Precision audience targeting

Build high-value lookalikes with real-time LTV signals to scale smarter acquisition campaigns.

A woman stands confidently outdoors in a light beige top with a castle-like structure blurred in the background under a bright blue sky. A transparent UI overlay displays a dynamic filter-building tool, showing “Product Purchase was completed where Cart Value is greater than...” with a dropdown for conditions, visually representing real-time audience segmentation or rules-based personalization.

Stop wasting ad spend

Suppress converted users and low-intent audiences instantly to improve CPA efficiency.

A smiling man with glasses and a bald head sits in a warmly lit room, holding a pen near his chin. Overlaid UI elements show a menu of marketing actions, with “Sync ad audiences” (highlighted with the Meta logo) selected. Other options like “Send SMS personalized offer” and “Update ad suppression list” appear grayed out, suggesting campaign setup or audience targeting in a digital marketing platform.

Optimize and scale in real time

Feed live conversion data into ad platforms to refine targeting, bidding, and ROAS continuously.

An infographic on a black background illustrates the flow of real-time data from an unknown user to actionable insights. The process includes five stages: Discovery, Enrichment, Activation, and Measurement—each contributing to “Real-Time Relevance.” Arrows show how data is collected, segmented, enriched, used in campaigns, and measured for performance. The bottom section highlights governance and privacy controls, and platform integrations including Google Ads, Meta, Braze, and 300+ others.

Activate safely, perform better

Use first-party data to drive performance with privacy-safe activation and campaign exclusivity.

Diagram illustrating secure and compliant data sharing through a "Data Clean Room" model. In the center, a cluster of icons representing anonymized user profiles is labeled “Data Clean Room,” which enables encrypted, privacy-compliant collaboration without exchanging personally identifiable information (PII). To the left, an “Ecommerce Network Partner” collects real-time data from multiple sources and feeds it into the clean room. On the right, an “Advertiser Brand Partner” also contributes real-time data, similarly resolving it into a single profile. Security and compliance standards like AICPA SOC 2, ISO 27001, MFA, SSO, GDPR, CCPA, and LGPD are displayed at the top.
1000s

of hours saved for the data engineering team

How HBO Max launched personalized reengagement campaigns

Read customer story
40%

increase in Sports+ membership using mParticle’s AI engine

How the New York Post tripled campaign conversions for its premium sports membership

Read customer story
52%

improvement in marketing operational efficiency

GOAT’s scalable lifecycle marketing strategy

Read customer story
44%

lift in upsell conversions driven by Predictive Audiences via Cortex

How onX accelerated marketing campaigns with mParticle's AI engine

Read customer story

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