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Targeting

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The process of using data collected and analyzed by an MMP to segment and deliver personalized marketing campaigns to specific user groups. MMPs enable advertisers to refine audience targeting based on attribution data, user behavior, and engagement metrics.

How MMPs enable targeting

Mobile Measurement Partners (MMPs) play a central role in enabling precise audience targeting for mobile apps and digital campaigns. They collect a wide range of data, including attribution information, in-app events, session activity, engagement metrics, and purchase behavior. This data is aggregated and centralized, allowing marketers to segment users based on meaningful criteria such as traffic source, campaign type, frequency of app usage, or past purchasing patterns.

By consolidating these insights, MMPs allow advertisers to create highly targeted audiences that can be activated across multiple marketing platforms, from programmatic networks to social media and email campaigns. This ensures that marketing messages reach the right users at the right time, increasing the likelihood of engagement and conversion.

Benefits of personalized targeting

  • Higher marketing efficiency: ads are delivered to users who are more likely to engage or convert.

  • Improved relevance: messaging is aligned with user interests and behavior, increasing impact.

  • Increased click-through rates: more relevant ads encourage stronger user interaction.

  • Better conversion performance: targeted audiences are more likely to complete desired actions.

  • Stronger retention: personalized experiences help keep users engaged over time.

  • Reduced wasted ad spend: budget is focused on high-potential user segments.

  • Higher lifetime value (LTV): improved engagement and retention contribute to long-term revenue growth.

Targeting as part of campaign optimization

Effective targeting is not a one-time setup; it is an ongoing optimization process. MMPs enable marketers to continuously analyze data and refine audience segments based on real-time insights. This iterative approach allows campaigns to adapt to shifts in user behavior, engagement patterns, or external factors such as seasonality or market trends.

Key steps for using MMP-driven targeting as part of optimization include:

  • Regularly reviewing segment performance to identify high-value audiences and underperforming groups

  • Adjusting targeting criteria to respond to changes in user behavior or engagement trends

  • Testing new audience segments and creative variations to improve conversion and retention metrics

  • Scaling campaigns effectively by focusing on audiences with the highest potential for ROI

  • Integrating insights across platforms to maintain consistent and relevant messaging across all channels

By continuously refining targeting strategies using MMP data, marketers can achieve more efficient campaigns, stronger user engagement, and sustainable growth over the long term.