Data Driven Web Experimentation on Design and Personalization

Rasika Irpenwar; Nakul Gupta; Rahul Ignatius; Mathangi Ramanchandran

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Paper

Data Driven Web Experimentation on Design and Personalization

Topics: Data-Driven Models

In Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk COMPLEXIS - Volume 1, 152-158, 2017 , Porto, Portugal

Authors: Rasika Irpenwar ; Nakul Gupta ; Rahul Ignatius and Mathangi Ramanchandran

Affiliation: [24]7 Ilabs, India

Keyword(s): Design of Experiments, Big Data, Experimentation in Big Data, User Experience.

Abstract: In today's world for we use online medium for virtually every aspect of our lives. Companies run controlled web experiments to make data driven decisions, to provide an intuitive online experience. We see a big correlation between online customer behaviors and designs and personal treatment, which could be used to create better customer engagement. In this paper we have studied the impact of design elements on chat invites*, by running experiments on a small population, using machine learning algorithms. Based on this we identify significant elements and build the most opportune personalized messages on invites. Statistical results show that, more visitors on the website accept chat invites which are personalized and optimized for the design. At [24]7, we have experimented extensively on user inter- face designs and journey based personalization which resulted in positive impact on our annual revenue.

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Paper citation in several formats:

Irpenwar, R.; Gupta, N.; Ignatius, R. and Ramanchandran, M. (2017). Data Driven Web Experimentation on Design and Personalization. In Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS; ISBN 978-989-758-244-8; ISSN 2184-5034, SciTePress, pages 152-158. DOI: 10.5220/0006379801520158

@conference{complexis17,
author={Rasika Irpenwar. and Nakul Gupta. and Rahul Ignatius. and Mathangi Ramanchandran.},
title={Data Driven Web Experimentation on Design and Personalization},
booktitle={Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS},
year={2017},
pages={152-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006379801520158},
isbn={978-989-758-244-8},
issn={2184-5034},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS
TI - Data Driven Web Experimentation on Design and Personalization
SN - 978-989-758-244-8
IS - 2184-5034
AU - Irpenwar, R.
AU - Gupta, N.
AU - Ignatius, R.
AU - Ramanchandran, M.
PY - 2017
SP - 152
EP - 158
DO - 10.5220/0006379801520158
PB - SciTePress