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Copy testing

Field of marketing research

  • 5 min read
  • 4 chapters

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Through Internet, Social media and Digital marketing

Automated Copy Testing is a specialized type of digital marketing specifically related to digital advertising. This involves using software to deploy copy variations of digital advertisements to a live environment and collecting data from real users. These automated copy tests will generally use a Z-test to determine the statistical significance of results. If a specific ad variation out performs the baseline in the copy test, to a desired level of statistical significance, this new copy variation should be used by the marketer.

Features

In 1982, a consortium of 21 leading advertising agencies — including N. W. Ayer, D’Arcy, Grey, McCann Erickson, Needham Harper & Steers, Ogilvy & Mather, J. Walter Thompson, and Young & Rubicam — released a public document laying out the PACT (Positioning Advertising Copy Testing) Principles that constitute a good copy testing system. PACT states a good copy testing system must meet the following criteria:

  1. Provides measurements which are relevant to the objectives of the advertising.
  2. Requires agreement about how the results will be used in advance of each specific test.
  3. Provides multiple measurements, because single measurements are generally inadequate to assess the performance of an advertisement.
  4. Based on a model of human response to communications – the reception of a stimulus, the comprehension of the stimulus, and the response to the stimulus.
  5. Allows for consideration of whether the advertising stimulus should be exposed more than once.
  6. Recognizes that the more finished a piece of copy is, the more soundly it can be evaluated and requires, as a minimum, that alternative executions be tested in the same degree of finish.
  7. Provides controls to avoid the biasing effects of the exposure context.
  8. Takes into account basic considerations of sample definition.
  9. Demonstrates reliability and validity.

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