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Aftersell
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mParticle
rokt mparticle

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.
Flowchart showing Real-Time Identity Resolution from Unknown User to Customer 360, Enrichment, and Segmentation with Governance and Privacy Controls, leading to Real-Time Relevance with Rokt Brain and Transaction Moment™ achieving up to 30% higher value per transaction; includes logos for Google Ads, Meta, Braze, and 300+ integrations.
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.

Flowchart showing Real-Time Identity Resolution from Unknown User to Customer 360, Enrichment, and Segmentation with Governance and Privacy Controls, leading to Real-Time Relevance with Rokt Brain and Transaction Moment™ achieving up to 30% higher value per transaction; includes logos for Google Ads, Meta, Braze, and 300+ integrations.

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
A smiling couple sitting barefoot on a mustard yellow couch, the man holding a mug and a TV in the foreground.
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
Smiling older man with gray hair and glasses sitting in a chair using a smartphone.
52%

improvement in marketing operational efficiency

GOAT’s scalable lifecycle marketing strategy

Read customer story
Portrait of a man wearing a yellow beanie, white padded vest, and white textured long sleeve shirt in sunlight.
44%

lift in upsell conversions driven by Predictive Audiences via Cortex

How onX accelerated marketing campaigns with mParticle's AI engine

Read customer story
Smiling woman wearing a gray beanie and red jacket with an orange backpack in an open grassy field with mountains in the background.

FAQs

What is Rokt mParticle?

Rokt mParticle is a real-time customer data platform (CDP) that helps partners unify fragmented customer data, activate audiences across channels, and deliver more personalized customer experiences. With identity resolution, data governance, predictive insights, and 350+ integrations, Rokt mParticle helps teams improve relevance, efficiency, and marketing performance.

How does Rokt mParticle work?

Rokt mParticle unifies customer data from apps, websites, servers, and other touchpoints into governed customer profiles, with enterprise-grade controls including SOC 2 Type II, ISO 27001, configurable consent controls, and PII detection and classification. It supports real-time identity resolution and activates customer data across analytics, marketing, advertising, and ecommerce systems through 350+ integrations. As part of the Rokt ecosystem, Rokt mParticle helps power targeting, personalization, attribution, and measurement at the Transaction Moment, improving relevance and supporting better conversion and lifetime value outcomes.

How is Rokt mParticle different from other CDPs?

Rokt mParticle combines the speed of a real-time CDP with the flexibility of a composable, warehouse-native architecture. The hybrid platform helps clients resolve identities, unify customer profiles, build and activate audiences, and apply predictive insights across their marketing and commerce stack. This flexible approach gives teams the flexibility to use real-time infrastructure for high-value personalization use cases while connecting to existing data warehouses for analytics and broader activation.

What are the benefits of using Rokt mParticle?
  • Unified customer profiles: Real-time identity resolution helps unify fragmented customer signals across devices, channels, and systems into a single customer view.
  • Personalization at scale: Predictive audiences, real-time activation, and customer segmentation help teams deliver more relevant experiences across channels.
  • Faster activation: Rokt mParticle helps teams stream, govern, and activate customer data across their marketing, analytics, advertising, and ecommerce stack in real time.
Which industries and platforms does Rokt mParticle support?

Rokt mParticle is designed for enterprise partners across industries such as retail, travel, financial services, media, entertainment, and other customer-centric sectors with complex data and personalization needs. With 350+ integrations, Rokt mParticle supports web, mobile app, server, warehouse, marketing, analytics, advertising, and customer engagement use cases across a broad technology ecosystem.

What integrations does Rokt mParticle support?

Rokt mParticle supports 350+ integrations across data warehouses, marketing clouds, analytics tools, advertising platforms, and customer engagement systems. Examples include Snowflake, Braze, Google Marketing Platform, Meta, Adobe, and The Trade Desk. Prebuilt connectors and partner integrations help teams activate customer data across their stack with less custom engineering effort.

How does Rokt mParticle handle data privacy and security?

Rokt mParticle is built with enterprise-grade security and privacy controls, including SOC 2 Type II, ISO 27001, and GDPR/CCPA-aligned compliance practices. Clients retain ownership and control of their data, and Rokt mParticle supports governance, consent controls, PII detection, and encryption in transit and at rest.

How do partners integrate Rokt mParticle with their existing stack?

Rokt mParticle supports flexible integration paths, including SDKs, APIs, data warehouse connections, and prebuilt connectors across marketing, analytics, advertising, and customer engagement systems. Teams can configure Rokt mParticle to collect and route event data, identifiers, and customer attributes across their stack, helping improve targeting, personalization, attribution, and measurement.

Is a CDP the same as a CRM?

No. A customer data platform (CDP) like Rokt mParticle by Rokt helps unify customer data from apps, websites, servers, and other touchpoints into a real-time customer profile that can be used for segmentation, personalization, activation, and measurement. A CRM is typically used to manage customer relationships and sales or service interactions. Rokt mParticle can work alongside CRM and marketing technology systems by helping teams activate unified, governed customer data across their broader stack.

Rokt products

Unlock the Transaction Moment

Rokt Catalog

Bring over 1.2 million third-party products from 4,600+ premium brands directly into the Transaction Moment.

Rokt Upcart

Recommend relevant upsells in-cart for up to 25% more revenue from every customer.

Rokt Pay+

Transform payment processing from a cost center into a profit engine.

Rokt Aftersell

Recommend relevant upsells post-purchase for up to 30% more revenue from every customer.

Rokt Thanks

Monetize the post-purchase moment and turn thank you into joy and profit.

Rokt Ads

Acquire customers while they shop and only pay for outcomes.

Rokt mParticle

Resolve identities. Activate data. Drive results.