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Win–loss analytics

Known as: Win–loss, Win-Loss Analytics, Win loss analytics 
Win–loss analytics involves identifying and analyzing the reasons why a visitor to a website was or wasn't persuaded to engage in a desired action… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Despite being one of the most controversial issues to be recently treated within climate negotiations, Loss and Damage (L&D) has… 
2013
2013
AbstractThe international construction business is witnessing a trend toward the delivery of projects through the adoption of… 
2013
2013
In game theory, the concept of Nash equilibrium reflects the collective stability of some individual strategies chosen by selfish… 
Highly Cited
2009
Highly Cited
2009
This paper makes a contribution to ongoing debates about whether and how we can empirically assess the potential, limitations… 
2008
2008
This Article examines cognitive and cultural barriers creating the relatively infrequent use of mediation to resolve private… 
Review
2004
Review
2004
Past research shows that consumers tend to equate higher prices with higher value. However, it remains unclear whether consumers… 
Highly Cited
2002
Highly Cited
2002
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for… 
Review
2002
Review
2002
This field study tested whether the basking-in-reflected-glory phenomenon would emerge in a political context. Two days before… 
Highly Cited
1994
Highly Cited
1994
Current processes and support systems for software requirements determination and analysis often neglect the critical needs of… 
1993
1993
An exponential smoothing technique operating on the margins of victory was used to predict the results of Australian Rules…