With periodic placement of advertisement, the efficient audience coverage
changes over time, growing during the flight and reducing during the advertising
silence. In this regard, it is incumbent to study the relation between the size of
audience coverage and such parameters of periodic advertising as flights duration,
advertising silence period and memory lag. It is also required to calculate and
forecast the size of average efficient periodic advertising coverage. These tasks
can be solved with methods of the mathematical media planning theory developed
in author’s earlier works. This paper outlines the methods of analyzing some
performance indicators of periodic advertisement placement developed within the
mathematical media planning theory. Methods of assessing the efficient audience
coverage in case of changes in the abovementioned parameters of periodic advertising
are described. The method of managing the level of periodic advertising’s
communicative efficiency by changing the advertising silence time, the size of
efficient flight coverage, its duration and memory lag is outlined. The obtained
results enable the analysis and forecasting of the sizes of maximum, minimum and
average audience coverage by periodic advertising depending on parameters of
advertising impact intensity, flight duration and advertising silence. The described
methods make it possible to solve the tasks of managing the level of periodic
advertising’s communication efficiency, which is achieved by finding the optimal
ratio of the abovementioned parameters of periodic advertisement placement.
Specifically, the paper demonstrates the existence of the optimal ratio between the
advertising silence duration and the memory lag that ensure maximum advertising
impact enhancement with periodic advertisement placement. The paper introduces
the notion of periodic advertising efficiency – the allowable interval of changes in
the efficient audience coverage that satisfies the advertisement placement efficiency
criterion established by the advertiser. The author presents the method of assessing
the sizes of periodic advertising efficiency areas and provides these areas’
dependency on the advertising silence time and memory lag.