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An investigation into the instance of fraud
in in-app transactions and app installs
The Apsalar
App Install
and Transaction
FRAUD INDEX
JULY 2015
INTRODUCTION
Digital marketing has lately focused
significant attention on the issue of
mobile fraud, and its consequences
to the health and vitality of our
industry.
There have been a variety of studies
focused on impression fraud metrics.
These are important issues that
we must address to drive the best
results for our businesses. But
while impression fraud is clearly a
major issue, the Apsalar Fraud Index
examines metrics closer to the
true KPIs of most app publishers –
download marketing efficiency and
in-app transactions.
We created the Apsalar Fraud Index
to provide an accurate view of
these issues on both a global and a
country-by-country basis.
3
1
2
ABOUT THE APSALAR FRAUD INDEX
The Apsalar Fraud Index (AFI) is the result of a massive quantitative study of the
incidence of fraudulent events that take place in mobile apps. Using a proprietary
methodology and API data feeds from a variety of sources, we examined a 2015
sample of more than 10 billion click events and more than 200 million in-app
virtual goods transactions to identify the level of fraud in these critical app
business KPIs. The data in this report are for January through May 2015.
CLICK
FRAUD AND
OVERCLICK
RATE:
IN-APP
PURCHASE
FRAUD:
OUR FOCUS IS ON TWO KEY METRICS:
The incidence of fraudulent or abnormal numbers of clicks
per download, compared to a norm. There is always a big
difference between the number of clicks to download an
app and the number of downloads that actually occur.
Consumers may click in error, or decide they don’t want
the app after all, or may decide to download later. We used
the country with the lowest click-to-download ratio (Germany, at
20 clicks per download) as a conservative proxy for a no-fraud click-to-
download ratio. Our click fraud index indicates that MORE than 20 clicks
were required to drive a download. Click fraud occurs in large part because
some bad actor media vendors charge on a cost per click (CPC) basis. Driving more
clicks increases revenue, but at the expense of marketing effectiveness. Naturally, many
CPC media vendors charge only for legitimate clicks, but there are clearly some bad actors in the space.
Examples of tactics that can increase a click-to-download ratio include bot-based impressions, invisible
redirect scripts, deceptive offers, and UI/UX deliberately designed to get people to make clicks in error.
The number of virtual goods downloads that take place without revenue changing hands. Here our platform
observes a transfer of virtual goods (like special farm game “seeds” or game weapons or levels) but with
no corresponding transfer of funds. These are acts of
theft, where virtual merchandise is stolen without
payment. Rates of purchase fraud are naturally
much higher in virtual versus real world goods
because transfer of a physical asset is easier to
trace to a fraudster.
4Copyright © 2015 All rights reserved worldwide. | www.apsalar.com
CLICK FRAUD AND OVERCLICK RATE
Our research showed high levels of clicks per download in many countries around the world, including in
the US. Globally, the number of clicks per download is more than twice as high as in the country with the
lowest fraud rate, which we use as a conservative proxy for a baseline clicks per download norm.
GLOBAL CLICK TO
INSTALL FRAUD RATE
2.57
Globally, for every click that
results in a legitimate install,
there are 2.57 fraudulent or
unexplained clicks
In the US, for every click that
results in a legitimate install,
there are 2.12 fraudulent or
unexplained clicks
US CLICK TO
INSTALL FRAUD RATE
2.12
5Copyright © 2015 All rights reserved worldwide. | www.apsalar.com
HONG KONG	 318
INDIA	 282
INDONESIA	 225
BAHRAIN	 222
TURKEY	 185
KUWAIT	 162
MALAYSIA	 153
VIETNAM	 144
SAUDI ARABIA	 144
SINGAPORE	 141
HIGHEST FRAUD
REGIONS INDEX
LOWEST FRAUD
REGIONS INDEX
GERMANY	 29
FRANCE	 33
ITALY	 38
PHILLIPINES	 41
MEXICO	 42
JAPAN	 43
SPAIN	 44
COLOMBIA	 46
NEW ZEALAND	 53
NORWAY	 59
CLICK FRAUD RATE INDEX BY COUNTRY
Index reflects the rate of clicks per download versus the global average.
6Copyright © 2015 All rights reserved worldwide. | www.apsalar.com
IN-APP PURCHASE FRAUD
Globally, more than 7 fraudulent virtual goods transactions were made for every legitimate purchase. In the US,
data show that there are 1.5 fraudulent purchases for every legitimate purchase.
GLOBAL VIRTUAL GOOD
THEFT RATE FRAUD RATE
US VIRTUAL GOODS
THEFT RATE
7.49 1.50
Globally, for every virtual good
that is purchased, 7.49 are stolen
In the US, for every virtual good
that is purchased, 1.5 are stolen
Number of goods stolen
per legitimate purchase
7Copyright © 2015 All rights reserved worldwide. | www.apsalar.com
VIRTUAL GOODS PURCHASE
FRAUD RATES BY COUNTRY
Regions with the Highest Rate
of In-App Purchase Theft
China 273.2
Taiwan 54.1
Saudi Arabia 24.6
Israel 18.3
Hong Kong 18.1
UAE 8.1
Russia 7.3
Singapore 5.5
Mexico 5.2
India 3.8
Regions with the Lowest Rate
of In-App Purchase Theft
Number of goods stolen
per legitimate purchase
Norway 0.2
UK 0.4
Japan 0.7
New Zealand 0.9
Australia 0.9
Switzerland 0.9
Denmark 1.3
Canada 1.4
USA 1.5
Sweden 2.3
8Copyright © 2015 All rights reserved worldwide. | www.apsalar.com
Don’t fly blind. Deploy a robust app measurement solution that can
gauge the true effectiveness of your partners and identify “bad actors.”
Ensure that your measurement solution can deliver value for your
industry/category.
Measure everything that matters. Identify all of the customer events
throughout the buying funnel that are important to your business, and
implement measurement plans for each.
Don’t trust surrogate metrics like CPI or CPC to be good predictors of
registrations, purchase occasions, revenue and lifetime value.
Use mobile app data as the foundation for cross-device profiles and
audiences that can help improve your marketing effectiveness.
1
2
3
4
5
YOU CAN TAKE TO PREVENT IN-APP
FRAUD FOR YOUR BUSINESS
SIMPLE
STEPS
9Copyright © 2015 All rights reserved worldwide. | www.apsalar.com
ABOUT APSALAR
Apsalar, the leader in mobile data management, helps direct marketing brands get better marketing effectiveness
by providing a mobile data management platform that delivers a true understanding of customer behavior in apps
and across other marketing channels. The Apsalar Mobile DMP enables brands to measure marketing effectiveness,
enhance, manage, enrich and segment profiles to build audiences, and easily and safely connect to other marketing
partners so brands can confidently share their data and audiences.
MOBILE DMP
APSALAR
ATTRIBUTION
Collect and measure in-app
consumer behavior and marketing
performance. Measure every in-app
action relevent to your buinesss
APSALAR
AUDIENCES
Unite your first party data from all
sources, enrich it with third party
data, and build high performance
marketing audiences
APSALAR
DATASYNC
Easily and safely share customer
audiences and data with your digital
marketing platforms, including
analytics, marketing automation,
media companies and legacy DMPs
Copyright 2015, Apsalar. All rights reserved. Apsalar and Apsalar Fraud Index are trademarks of Apsalar.
All other brand names mentioned herein are trademarks or registered trademarks of their respective companies.

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Apsalar App Fraud Index Report - July 2015

  • 1. An investigation into the instance of fraud in in-app transactions and app installs The Apsalar App Install and Transaction FRAUD INDEX JULY 2015
  • 2. INTRODUCTION Digital marketing has lately focused significant attention on the issue of mobile fraud, and its consequences to the health and vitality of our industry. There have been a variety of studies focused on impression fraud metrics. These are important issues that we must address to drive the best results for our businesses. But while impression fraud is clearly a major issue, the Apsalar Fraud Index examines metrics closer to the true KPIs of most app publishers – download marketing efficiency and in-app transactions. We created the Apsalar Fraud Index to provide an accurate view of these issues on both a global and a country-by-country basis.
  • 3. 3 1 2 ABOUT THE APSALAR FRAUD INDEX The Apsalar Fraud Index (AFI) is the result of a massive quantitative study of the incidence of fraudulent events that take place in mobile apps. Using a proprietary methodology and API data feeds from a variety of sources, we examined a 2015 sample of more than 10 billion click events and more than 200 million in-app virtual goods transactions to identify the level of fraud in these critical app business KPIs. The data in this report are for January through May 2015. CLICK FRAUD AND OVERCLICK RATE: IN-APP PURCHASE FRAUD: OUR FOCUS IS ON TWO KEY METRICS: The incidence of fraudulent or abnormal numbers of clicks per download, compared to a norm. There is always a big difference between the number of clicks to download an app and the number of downloads that actually occur. Consumers may click in error, or decide they don’t want the app after all, or may decide to download later. We used the country with the lowest click-to-download ratio (Germany, at 20 clicks per download) as a conservative proxy for a no-fraud click-to- download ratio. Our click fraud index indicates that MORE than 20 clicks were required to drive a download. Click fraud occurs in large part because some bad actor media vendors charge on a cost per click (CPC) basis. Driving more clicks increases revenue, but at the expense of marketing effectiveness. Naturally, many CPC media vendors charge only for legitimate clicks, but there are clearly some bad actors in the space. Examples of tactics that can increase a click-to-download ratio include bot-based impressions, invisible redirect scripts, deceptive offers, and UI/UX deliberately designed to get people to make clicks in error. The number of virtual goods downloads that take place without revenue changing hands. Here our platform observes a transfer of virtual goods (like special farm game “seeds” or game weapons or levels) but with no corresponding transfer of funds. These are acts of theft, where virtual merchandise is stolen without payment. Rates of purchase fraud are naturally much higher in virtual versus real world goods because transfer of a physical asset is easier to trace to a fraudster.
  • 4. 4Copyright © 2015 All rights reserved worldwide. | www.apsalar.com CLICK FRAUD AND OVERCLICK RATE Our research showed high levels of clicks per download in many countries around the world, including in the US. Globally, the number of clicks per download is more than twice as high as in the country with the lowest fraud rate, which we use as a conservative proxy for a baseline clicks per download norm. GLOBAL CLICK TO INSTALL FRAUD RATE 2.57 Globally, for every click that results in a legitimate install, there are 2.57 fraudulent or unexplained clicks In the US, for every click that results in a legitimate install, there are 2.12 fraudulent or unexplained clicks US CLICK TO INSTALL FRAUD RATE 2.12
  • 5. 5Copyright © 2015 All rights reserved worldwide. | www.apsalar.com HONG KONG 318 INDIA 282 INDONESIA 225 BAHRAIN 222 TURKEY 185 KUWAIT 162 MALAYSIA 153 VIETNAM 144 SAUDI ARABIA 144 SINGAPORE 141 HIGHEST FRAUD REGIONS INDEX LOWEST FRAUD REGIONS INDEX GERMANY 29 FRANCE 33 ITALY 38 PHILLIPINES 41 MEXICO 42 JAPAN 43 SPAIN 44 COLOMBIA 46 NEW ZEALAND 53 NORWAY 59 CLICK FRAUD RATE INDEX BY COUNTRY Index reflects the rate of clicks per download versus the global average.
  • 6. 6Copyright © 2015 All rights reserved worldwide. | www.apsalar.com IN-APP PURCHASE FRAUD Globally, more than 7 fraudulent virtual goods transactions were made for every legitimate purchase. In the US, data show that there are 1.5 fraudulent purchases for every legitimate purchase. GLOBAL VIRTUAL GOOD THEFT RATE FRAUD RATE US VIRTUAL GOODS THEFT RATE 7.49 1.50 Globally, for every virtual good that is purchased, 7.49 are stolen In the US, for every virtual good that is purchased, 1.5 are stolen
  • 7. Number of goods stolen per legitimate purchase 7Copyright © 2015 All rights reserved worldwide. | www.apsalar.com VIRTUAL GOODS PURCHASE FRAUD RATES BY COUNTRY Regions with the Highest Rate of In-App Purchase Theft China 273.2 Taiwan 54.1 Saudi Arabia 24.6 Israel 18.3 Hong Kong 18.1 UAE 8.1 Russia 7.3 Singapore 5.5 Mexico 5.2 India 3.8 Regions with the Lowest Rate of In-App Purchase Theft Number of goods stolen per legitimate purchase Norway 0.2 UK 0.4 Japan 0.7 New Zealand 0.9 Australia 0.9 Switzerland 0.9 Denmark 1.3 Canada 1.4 USA 1.5 Sweden 2.3
  • 8. 8Copyright © 2015 All rights reserved worldwide. | www.apsalar.com Don’t fly blind. Deploy a robust app measurement solution that can gauge the true effectiveness of your partners and identify “bad actors.” Ensure that your measurement solution can deliver value for your industry/category. Measure everything that matters. Identify all of the customer events throughout the buying funnel that are important to your business, and implement measurement plans for each. Don’t trust surrogate metrics like CPI or CPC to be good predictors of registrations, purchase occasions, revenue and lifetime value. Use mobile app data as the foundation for cross-device profiles and audiences that can help improve your marketing effectiveness. 1 2 3 4 5 YOU CAN TAKE TO PREVENT IN-APP FRAUD FOR YOUR BUSINESS SIMPLE STEPS
  • 9. 9Copyright © 2015 All rights reserved worldwide. | www.apsalar.com ABOUT APSALAR Apsalar, the leader in mobile data management, helps direct marketing brands get better marketing effectiveness by providing a mobile data management platform that delivers a true understanding of customer behavior in apps and across other marketing channels. The Apsalar Mobile DMP enables brands to measure marketing effectiveness, enhance, manage, enrich and segment profiles to build audiences, and easily and safely connect to other marketing partners so brands can confidently share their data and audiences. MOBILE DMP APSALAR ATTRIBUTION Collect and measure in-app consumer behavior and marketing performance. Measure every in-app action relevent to your buinesss APSALAR AUDIENCES Unite your first party data from all sources, enrich it with third party data, and build high performance marketing audiences APSALAR DATASYNC Easily and safely share customer audiences and data with your digital marketing platforms, including analytics, marketing automation, media companies and legacy DMPs Copyright 2015, Apsalar. All rights reserved. Apsalar and Apsalar Fraud Index are trademarks of Apsalar. All other brand names mentioned herein are trademarks or registered trademarks of their respective companies.