Main Demand Side Platforms: descriptions and analyses
Afanasyeva, Evgenia (2017)
Afanasyeva, Evgenia
Jyväskylän ammattikorkeakoulu
2017
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201704114645
https://urn.fi/URN:NBN:fi:amk-201704114645
Tiivistelmä
The objective of the thesis is to suggest the most suitable demand-side-platform partners for the case company, Pixelads Media. The research task is to analyze the key features of demand-side-platforms: their interfaces, reporting, optimization capabilities, support teams’ efficiency and integration possibilities. In addition, short descriptions of the de-mand-side-platforms are provided.
Desk research is implemented and secondary data is collected from reliable sources. This method is chosen as it is considered the only way to obtain reliable information about the topic before dealing with the companies. Feedback reviews are analyzed, and information concerning the needed features is extracted and transformed in a convenient form in or-der to see their strong and weak aspects. After this, a quantitative approach, descriptive statistics, is used in order to calculate the results in such a numerical way that would clear-ly present the outcome.
The results show which demand-side-platforms have the largest set of features that were reviewed in a positive way. In addition, the results are summarized in a table presenting the strong and weak components of the platforms. The information collected in the study can be used when Pixelads Media wants choose which demand-side-platform they would like to cooperate with.
Desk research is implemented and secondary data is collected from reliable sources. This method is chosen as it is considered the only way to obtain reliable information about the topic before dealing with the companies. Feedback reviews are analyzed, and information concerning the needed features is extracted and transformed in a convenient form in or-der to see their strong and weak aspects. After this, a quantitative approach, descriptive statistics, is used in order to calculate the results in such a numerical way that would clear-ly present the outcome.
The results show which demand-side-platforms have the largest set of features that were reviewed in a positive way. In addition, the results are summarized in a table presenting the strong and weak components of the platforms. The information collected in the study can be used when Pixelads Media wants choose which demand-side-platform they would like to cooperate with.