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Use first-party signals to prioritize people more likely to repeat, spend more, or become your most valuable customers.
Prioritize customers with the strongest signals of future value, not just likelihood to convert once.
Allocate budget toward audiences expected to drive stronger payback after the first conversion.
Expand from high-value customers to reach more that show similar potential.
Conversion and value signals flow back server-side, so platforms can learn from higher-quality outcomes.
Bring your most valuable customer signals into paid channels to drive more effective acquisition.
Predict future value: Predictive Audiences
Score customers against a goal you define, such as repeat purchase, upgrade, revenue, or high lifetime value.
Expand from high-value customers: Audience Expansion
Use high-value customers as a seed audience, then control how broadly the audience expands.
Improve downstream matching: Match Boost
Increase match at activation so more of your priority audience can be reached across paid destinations.
Route value events server-side: Conversions API
Route first-party conversion and value events to downstream ad platforms through server-side integrations.
Built to make acquisition quality actionable.
Built to make acquisition quality actionable.
Define quality on your terms
Set acquisition goals around the outcomes that matter most, from repeat purchase and upgrades to revenue or lifetime value.
Turn scores into spend-ready audiences
Activate predictive scores and high-value segments as paid audiences your channels can use.
Keep acquisition quality improving
Use outcome data to inform the next model, audience, and campaign cycle.
More growth solutions
Questions, answered
How do you predict high-value customers?
What counts as a high-value customer?
How is this different from optimizing for conversions?
Lets talk about how mParticle can get your business ready to scale. Fast.
See it yourself. See the difference one platform can make.
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