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Quinn Ye

dblp:183/3761 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorTheory of computation · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 70% Computational finance and economics · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities
causal inference
0.212016
The Seasonality Of Paid Search Effectiveness From A Long Running Field Test · EC 2016
Computational social science and digital humanities
field experiments
0.212016
The Seasonality Of Paid Search Effectiveness From A Long Running Field Test · EC 2016
Computational finance and economics
online advertising
0.212016
The Seasonality Of Paid Search Effectiveness From A Long Running Field Test · EC 2016
Computational social science and digital humanities › computational marketing
marketing analytics
0.112016
The Seasonality Of Paid Search Effectiveness From A Long Running Field Test · EC 2016

Methods — techniques the papers use, named apart from their topics

user experiment · 0.2geo experiments · 0.2causal inference · 0.2
YearPublicationVenuePosition
2016 The Seasonality Of Paid Search Effectiveness From A Long Running Field Test
abstract
Paid Search, also known as Search Engine Marketing (SEM), has been the largest channel in online advertising by revenue. Yet its causal effectiveness has been difficult to measure. At eBay marketplace we have developed a hybrid Geo+User experiment approach, and conducted a long-running field test over 17-month period to understand the incrementality of paid search on one of the largest e-commerce platforms in the U.S. The experiment results indicate that paid search campaigns drive statistically significant sales lift to the eBay site, and a portion of the direct sales made via paid search is incremental. More importantly, such incrementality demonstrates strong seasonality during the year, and do not necessarily correlate with the paid search spend levels. Our results also show that the new user acquisition lift is higher than the immediate sales lift on the eBay site from paid search campaigns. These findings provide critical insights for paid search and overall online advertising investment strategies.
Quinn Ye, Saarthak Malik, Haijun Zhu
EC1