Giving is Caring:

Understanding Donation Behavior through Email


Yelena Mejova,  Yahoo Labs

Ingmar Weber and Venkata Rama Kiran Garimella,

Qatar Computing Research Institute

Michael C Douga, 
University of California, Berkeley


Presenter: Mobile HCI Lab Andy

Abstract

In this paper, we describe a comprehensive large-scale data-driven study of donation behavior.

  • Intro

  • RELATED WORK
  • Observing donations in email
  • Tables
  • Contributions

Intro



 $211.77 billion  online donation in 2010

The 2008 US presidential campaign



4 respects: (1) demographics, (2) topi- cal interest, (3) social influence, and (4) external influence

RELATED WORK 



Individual capacity and inclination.

personal reputation,  “empathetic joy”,

Name-Letter Effect

Interest

To orgs, beneficiaries,  performance and accountability, 



RELATED WORK

Social influence

socially reward donors and punish non-donors,

positive in-group identity ->  individual self-esteem


email: increase the salience of social identity

External influence.
selective incentivestax incentives

After the 2010 earthquake, SMS donation over $7M in micro donations.

1/2 page about crowdfunding.


Observing donations in email

two-month period of July 19 – September 19, 2012 

all user identifiers (= email addresses) were

replaced by random numbers (“hashes”).

480 charities

100,000 users.

data anonymized

Spam Filtering

gathering user action statistics


Tables

Tables

 

average accuracy of these regular ex- pressions to be 86.2%


Tables


July 31: “Photo going around on Facebook” (Obama),  Aug 11: Paul Ryan is Republican VP candidate
Aug 18: T-shirt promotion “I built this” (Romney),  Aug 27-30: Republican National Convention

Sep 4-6: Democratic National Convention


Findings

  • Major donations coincide with major events, especially in  political.

  • Explicit solicitations for donations spur more donation activity than newsletters or updates.

  • Solicitations connected to real-world events are more ef- fective than general-purpose ones.


The effect of (number of friends who are donors to the charity) is by far the greatest: for each friend who donates to a charity, the likelihood for the user to also donate to that charity goes up by 24%.



Contribution

Our paper provides a unique exploration of the donation behavior of hundreds of thousands of user.


We take a data-driven approach in which we examine the incoming and outgoing emails for these users over the span of two months.

*Cons

illustrated by some case of public broadcasting orgs

offline donations

Future work

What messages and solicitations are the most convincing to donors? What strategies can charities employ to find new potential donors?







Thank you!

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