liveBook · Manning

Targeted advertising

As explained in Data for All

The delivery of promotional messages to selected audiences based on information about their characteristics or behavior.

Targeted advertising delivers promotional messages to selected audiences using information about their characteristics, behavior, or immediate circumstances. A company may combine activity, relationships, and broader social or economic data to predict what you might do next, then present an offer designed to influence that moment. section 2.5

The arrangement can feel like a free exchange: you use a service, while the company uses data created through that use. Search helped normalize this model, and advertising became central to major technology platforms. Narrow targeting is therefore not a side activity; it can support most of a platform’s revenue. section 1.3.3 section 4.6

The central questions concern whose interests targeting serves:

  • Companies may tailor messages to vulnerability rather than need, encouraging purchases when a person should reduce debt or meet another priority. section 2.5
  • Individual data may be treated as a resource to process, control, reuse, or resell, raising questions about consent and benefit. section 1.5.1
  • Changing the system may require personal choices alongside government action, watchdog scrutiny, and investment in alternative business models. section 4.6

A tailored offer

Suppose data suggests that you are facing a particular financial or household situation. A company can model that situation and send an offer for groceries, clothing, gifts, or a car. The message may fit your circumstances while primarily advancing the company’s sales goals. section 2.5

Figure 1.1 Global search engine market share. Source: Reliablesoft (https://www.reliablesoft.net/top-10-search-engines-in-the-world/)

Use the search-engine market-share figure to place Google’s advertising model within the reach of a dominant search service. section 1.3.3

How Data for All covers it

How deep it goes
Connects data collection, prediction, messaging, and incentives, but stops short of implementation details.
Examples
Uses Google search, Facebook advertising revenue, and offers tailored to debt, groceries, clothing, gifts, or cars.
What it assumes
Assumes only familiarity with everyday online services and purchasing, while introducing data-driven commercial targeting from ordinary examples.
What you can do after
Evaluate who benefits from targeted messages and recognize the institutional choices shaping data-driven advertising.
How it connects
Links targeted advertising with data collection, data analysis, online services, privacy, data control, and regulation.

Related concepts

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.