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

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

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Year of publication:	2015
Authors:	N., Kavya ; Rai, Nishita ; Ahmed, Mohsin
Publisher:	[S.l.] : SSRN
Subject:	Suchmaschine \| Search engine \| Studierende \| Students \| Zeitreihenanalyse \| Time series analysis \| Online-Marketing \| Internet marketing \| Werbung \| Advertising \| Zielgruppe \| Target group \| Hochschule \| Higher education institution \| Studium \| University education

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Extent:	1 Online-Ressource (19 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: Nitte University, Fourth International Conference on Higher Education: Special Emphasis on Management Education, December 29-30 2014 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments April 29, 2015 erstellt
Other identifiers:	10.2139/ssrn.2600649 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014136023