Psychic Ads: Identifying Students for Higher Education by Analysing Google Trends Time Series for Targeted Advertising on Google Adwords

19 Pages Posted: 29 Apr 2015

See all articles by Kavya N.

Kavya N.

Nitte University, Justice K.S. Hegde Institute of Management, Students

Nishita Rai

Nitte University, Justice K.S. Hegde Institute of Management, Students

Mohsin Ahmed

Nitte University - Justice K.S. Hegde Institute of Management

Date Written: April 29, 2015

Abstract

In this paper we show how an Institute of Higher Education can predict future MBA students for targeted advertising by analysing Google query data. We extract normalized query data from Google trends and compute correlations of time shifted time series. We then conclude that highly correlated queries across time are suitable for targeted ads in Google Adwords.

Keywords: marketing, online, google, adwords, forecast, statistics, time series.

Suggested Citation

N., Kavya and Rai, Nishita and Ahmed, Mohsin, Psychic Ads: Identifying Students for Higher Education by Analysing Google Trends Time Series for Targeted Advertising on Google Adwords (April 29, 2015). Nitte University, Fourth International Conference on Higher Education: Special Emphasis on Management Education, December 29-30 2014. Available at SSRN: https://ssrn.com/abstract=2600649 or http://dx.doi.org/10.2139/ssrn.2600649

Kavya N. (Contact Author)

Nitte University, Justice K.S. Hegde Institute of Management, Students

Karnataka
India

Nishita Rai

Nitte University, Justice K.S. Hegde Institute of Management, Students

Karnataka
India

Mohsin Ahmed

Nitte University - Justice K.S. Hegde Institute of Management ( email )

NMAMIT,
Nitte
Karnataka, 574110
India

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