ECHTZEIT-Architektur

Kundendateninfrastruktur, die so konzipiert ist, dass sie mit Ihrem Unternehmen skaliert werden kann

Optimieren Sie Ihr Event-Tracking auf intelligente Weise und verbinden Sie Ihre Kundendaten direkt mit Ihrem Cloud-Data Warehouse und anderen Marketinganwendungen — und schützen Sie gleichzeitig die Datenqualität und -kontrolle während der Übertragung.

Drive repeat revenue, expansion, and loyalty.

01

Keep customers coming back

Increase repeat rate from the customers you already have.

02

Expand the relationship

Surface the next best action or opportunity when customers are likely to act.

03

Turn loyalty into action

Focus loyalty journeys on the behaviors that deepen engagement.

04

Make LTV compound

Increase revenue across the full relationship, not just the next conversion.

Turn customer data into growth decisions.

Use first-party signals to decide who to prioritize, what to offer, and when to update each audience.

Predict growth potential: Predictive Audiences

Score customers against the action you define, such as repeat purchase, upgrade, lifetime value, or loyalty engagement.

Recommend the optimal next step: Next Best Action

Prioritize the offer, message, or experience each customer should receive next, without defaulting to blanket discounts.

Act on the latest customer behavior: Real-Time Audiences

Update eligibility for repeat purchase, upsell, cross-sell, and loyalty journeys as customer behavior changes.

Anchor every decision to the right customer: Advanced Real-Time Identity

Connect identifiers as new signals surface, so scores and eligibility stay tied to the right customer across interactions.

44%

lift in upsell conversions

onX accelerated marketing results with mParticle's predictive suite

Delivering upgrade offers based on predictive attributes created in mParticle’s predictive suite has allowed us to generate a 44% lift in upsell conversions. We’ve been able to keep the campaign running automatically, allowing us to remove guesswork from our campaign decisions and improve campaign targeting at scale.

Toni Kljucevic

Lifecycle Marketing Manager

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
Person holding a glass of latte with heart-shaped latte art in warm lighting.

75%

year-over-year revenue increase from loyalty app initiatives powered by mParticle.

mParticle’s real-time data insights and segmentation fuel Joe & The Juice loyalty program growth

The global QSR brand’s loyalty campaigns, powered by mParticle, led to a remarkable 75.5% year-over-year revenue surge.

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£6.5M

incremental revenue per year, powering suppression with mParticle Audiences.

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

M&S leveraged real-time data for personalized experiences and suppression — resulting in £6.5M incremental yearly revenue.

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Woman with curly hair wearing a white sweater and mustard overalls smiling while holding a sandwich and eating a french fry.

40x

better coupon redemption rate with geofencing and real-time personalization

How Burger King swerved its way to 6MM loyal app users

Learn how Burger King implemented an integrated tech stack and data strategy to launch the acclaimed Whopper Detour campaign, drive 6MM app downloads, and deliver better, real-time customer experiences.

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Built to make lifecycle growth repeatable.

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Launch programs faster

Create and adjust repeat purchase, upsell, cross-sell, and loyalty audiences without a manual build for every segment.

Protect margin while you grow

Prioritize actions and offers based on likelihood to act, instead of defaulting to blanket discounts.

Sharpen every cycle

Use purchases, upgrades, and loyalty actions to inform the next audience, model, and recommendation.

More growth solutions

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Questions, answered

How do you predict customer value?

Predictive Audiences scores customers against a value or conversion action you define — repeat purchase, upgrade, or high lifetime value — on first-party signals.

What is Next Best Action?

Next Best Action recommends the next action or offer to prioritize for a customer or audience. Your team activates it through your existing channels.

Does this replace my email or messaging platform?

No. Your engagement platform sends every message. You build and score the audiences and decide the next action; the platform sends it.

Can Audience Agent help here?

It can define value audiences when the signal already exists in your workspace, for you to review and save. It doesn't create the predictive model or value attribute — Predictive Audiences does that.