liveBook · Manning

Audience targeting

As explained in Data for All

The selection of particular people or groups for a communication, offer, intervention, or other action based on relevant information.

Audience targeting selects particular people or groups for messages, offers, interfaces, or interventions using information about their behavior and circumstances. The same practice can support helpful action or manipulate people at scale. section 2.5.1 section 2.4.8

Companies build targeting systems from the data people create through connected devices, games, browsing, purchases, and other activities. Enough data can make an offer seem perfectly timed, even when accepting it conflicts with someone’s long-term interests. section 2.5.1 section 3.5.3

Targeting can affect people in different ways:

  • Commercial platforms use collected data to shape attitudes, actions, offers, and engagement. section 2.5.1
  • Games and interfaces can be designed to engage younger children by analyzing and targeting their activity. section 3.5.3
  • Institutions can target support rather than persuasion, such as identifying first-generation students at risk of dropping out and sending tailored messages. section 2.4.8

A targeted student-support program

A college combined attendance, assessment results, and engagement data to identify first-generation students at risk of dropping out. Tailored analyses, messages, and actions significantly reduced that group’s dropout rate. section 2.4.8

How Data for All covers it

How deep it goes
Explains data sources, predictive modeling, targeted messages, and consequences, but stops short of technical implementation.
Examples
Uses social media, children’s games, connected devices, and college dropout-risk programs as concrete targeting cases.
What it assumes
Starts with everyday device and game use while teaching how names, locations, activity, and engagement become targeting data.
What you can do after
Evaluate how organizations use personal data to target people and recognize both manipulative and supportive applications.
How it connects
Connects audience targeting to data collection, analytics, personalization, messaging, privacy, manipulation, and intervention.

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This explainer was generated by Manning's knowledge graph from the text of Data for All. The section links point to the parts of the book it draws on.