tnv location score index-q2 2014-300dpi
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Q2 2014
MOBILE ADVERTISINGSGUIDE TO LOCATIONACCURACY
LOCATIONSCORE
INDEX
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THIS REPORT FOCUSES ON HELPING
MARKETERS UNDERSTAND:
The current state of
location data quality in
the mobile ecosystem
How location data is
generated
The impact of accurate
location data on
campaign performance
INTRODUCING LOCATION SCORE
: THE FIRST TOOL TOMEASURE LOCATION ACCURACY IN MOBILE ADVERTISING
Location is front and center in the mobile industry and the pace of technological change
has been amazing. First-generation geofences have been replaced with advanced prox-
imity targeting, as well as location-driven audience targeting and behavioral retargeting.
Location is solving the mobile cookie dilemma, and continued improvements in location
data will deliver an even greater supply of targeting opportunities.
In 2012, approximately 10% of all ad requests contained location data, while in 2014
the number is closer to 67%. As advertiser demand for location data has grown, so too
has the number of publishers, ad networks, and other inventory sources willing to share
location data. But, is this flood of new location data good for the industry? It all depends
on the quality of the data.
Accurate targeting is reliant on accurate location data. This report seeks to help
marketers understand the state of the industry in terms of the quality of location data.
The goal of the Location Score Index is to provide transparency and understanding to
the marketers who will influence the direction of mobile marketing. The quality of
location data will continue to improve and we hope this report helps to educate and
accelerate the pace of change.
LOCATIONACCURACYMATTERS
There are enormous opportunities in mobile but as marketers, we are
constantly evaluating tools to help us get to the best data possible. Location
Score helps us to be smarter, ROI driven buyers and will help accelerate the
industry to move towards more accurate location data.
Amit Shah, VP of Marketing, 1-800-Flowers.com
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DATA POINTS PULLED FROM MOBILE CAMPAIGN TARGETING SPECIFIC LOCATIONS WITHIN THE DALLAS/FORT WORTH DMA, Q2 2014.STATED USER LOCATIONS AT LEFT REPRESENT THE STATED USER LOCATION PER THE AD REQUEST. ACTUAL USER LOCATIONS AT RIGHT
REPRESENT THE TRUE USER LOCATION AT TIME OF AD REQUEST BASED ON REAL-TIME COLLECTION OF USER LOCATION DATA.
STATED USER LOCATIONS ACTUAL USER LOCATIONS
Senior-level marketers are seeking more
transparency and a better understandingof data quality related to location-based
marketing. With this report, Thinknear
announces the launch of Location Score,
the first technology designed to give mar-
keters deep insight into the quality and
accuracy of the location data used in
mobile campaigns.
The technology will provide marketers with
a transparent and objective measurement
tool that will enable more accurate target-
ing and better consumer experiences with
location-based advertising.
The technology is also the power behind
this report, the inaugural edition of the
Location Score Index. The Location Score
Index is a summary of the overall state of
location for the mobile industry. Marketers
know that data quality can vary signifi-cantly, and it is our goal to help marketers
understand how both accurate and inaccu-
rate location data can impact campaigns.
DEFINING LOCATION ACCURACYLocation Accuracy is defined as the prox-
imity of a users stated location per the
ad request, compared to the users actual
location in the real world. Stated vs. actual
location can vary by a matter of feet, or a
matter of miles. Identifying the users true
location is the goal of any ad network, as it
enables enhanced targeting opportunities.
METHODOLOGYThe Thinknear platform accesses the major
sources of location-enabled mobile inven-
tory in the U.S. To compile this report, we
sampled and analyzed data from over 3.5
billion publisher ad requests, 53 million adimpressions and have run location accuracy
tests on over 20,000 consumer ad experi-
ences. Our analysis focuses specifically on:
o Quantifying the volume of ad requests
that include both high-quality and
low-quality location data
o Measuring the accuracy of location
data with regard to the stated vs.
actual location of a mobile user
o Quantifying the impact of location
accuracy on mobile campaigns
INTRODUCING LOCATION SCORE
ANDTHE LOCATION SCORE INDEX
LOCATION ACCURACY REFERS TO THE PROXIMITY OF A USERS STATED LOCATION PER AN ADREQUEST COMPARED TO THE USERS TRUE LOCATION IN THE REAL WORLD. THINKNEAR FOUNDSIGNIFICANT ISSUES IN LOCATION ACCURACY THROUGHOUT THE INDUSTRY, PROMPTING THECREATION OF THE LOCATION SCORE INDEX.
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49LOCATION SCORE
VOLUME BY ACCURACY LEVEL
34%HYPER LOCAL Location data was accurate to within 100
meters of the users true real-time location.
9% LOCAL Location data was accurate between100 and 1,000 meters of the users truereal-time location.
30% REGIONAL Location data was accurate between
1,000 and 10,000 meters of the users
true real-time location.
20% MULTI-REGIONAL Location data was accurate between
10,000 and 100,000 meters of the
users true real-time location.
7% NATIONAL Location data was not accurate within
100,000 meters of the users true
real-time location.
OUT OF 100
Weve seen that the quality of location data makes a significant impact on
campaign performance. Location Score is a great tool that will help us ensure
the targeting is accurate and that performance is optimized for our clients.
Alex Richter, Camelot Strategic Marketing & Media
BY OPERATING SYSTEM
51 ANDROID
48 iOS
BY POPULATION DENSITY
50 URBAN
44 RURAL
INDUSTRY AVERAGE
LOCATION SCORE
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NOT ALL LOCATIONDATA IS CREATEDEQUAL. TO GET THEMOST OUT OF YOURMOBILE ADVERTISINGDOLLAR, ITS CRITICAL
TO UNDERSTAND HOWLOCATION DATA ISCOLLECTED
Most marketers are just beginning to
understand the complexity of mobile
data. The location ecosystem can be
difficult to navigate, but its important
for marketers to know the sources and
relevant levels of quality associated
with mobile location data.
While the growth in available data is
conceptually a good thing, the prob-
lem is that growth often comes at the
expense of quality. App publishers
understand that location data results
in higher eCPMs and better moneti-
zation rates. Therefore, app develop-
ers are incentivized to include location
data in their ad requests, regardless of
the source and accuracy of the data.
The problem facing the industry is that
app developers are not location experts
and the data being passed to adver-
tisers is often of very low quality. The
result is that a mobile users true loca-
tion is often very different from the app
developers stated location for the user.
This impacts targeting, mobile creative
mobile content, and the overall engage-
ment experience between advertisers
and consumers.
67% OF AD REQUESTSINCLUDE LOCATION DATA,BUT ONLY 34% OF THOSEREQUESTS ARE ACCURATE TOWITHIN 100 METERS OF THEMOBILE USERS LOCATION.
App developers know that sharing location data improves monetization, and they have
several methods of collecting location data. Some methods, such as GPS, are more diffi-
cult to collect consistently, but produce very accurate location data. Methods such as IPaddress lookup and registration data are much less accurate. Regardless of the source,
the data is typically translated into a set of latitude and longitude coordinates that are
passed to the advertiser. It is very difficult for the advertiser to assess the quality and
accuracy of the data without the help of a location expert.
LOCATION DATA IN THEMOBILE ECOSYSTEM
MOST RELIABLE
GPS satellites maintain a constant orbit around the
earth, sending signals to the ground allowing asmartphone to calculate location within a few feet
under optimal conditions.
A-GPS can be a battery d rain, so developers choose
other solutions. Additionally, weather and building
interference can reduce effectiveness.
LEAST RELIABLE
A-GPSAssisted Global Positioning System
1
3
Cell towers are typically three-sided with a transmitter
on each side. Location accuracy to within of a square
mile is possible when three towers are present andthere is no interference.
When a user has coverage from a single cell tower, or
even two towers, the location approximation can range
over many miles. Building interference can also
reduce accuracy.
CELL TOWERS
Its typical practice for an app developer to ask a user
to share their postal code or home city when registering
for an app. The app developer then pinpoints the centerpoint of that geographic region.
Real-time location data is effectively always wrong
for this type of location information.
USER REGISTRATION
2
4
5
A devices location can be approximated
using its IP address as assigned by the
network operator; however, in terms of
identifying the true location of the user
using standard network techniques,
its almost universally wrong.
IP
Nearly all Wi-Fi connection points have
been mapped to a location, so depending
upon the availability of Wi-Fi networks,
triangulation within 10 to 100 meters is
relatively easy.
The downside: Users are not always near a
network, or they may simply have turned off
the phones Wi-Fi.
WI-FI
Regardless of source used, location
data is typically translated into
latitude and longitude.
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Accurate data means accurate tar-
geting. If advertisers are reaching
the wrong audience, performance
will suffer. Location also impacts
user experience. Most mobile cre-
ative involves some level of dynamic
content, which allows marketers to
incorporate local context into the
ads they serve. Poor location data
makes for a poor user experience.
Accurate location data impacts
performance in a variety of ways.
Preferred performance metrics in
mobile vary by brand, agency and
vertical, but marketers have contin-
ued the move away from CTR as the
defining KPI. Brands are increas-
ingly considering engagement met-
rics such as store visit lift, time-on-
site and post-click conversions.
LOCATION ACCURACYDRIVES PERFORMANCE
LOCATION IMPACTS TIME-ON-SITE
We found that time-on-site for mobile campaign landing pages improved dramatically forthe highest scoring location data as compared to the lowest scoring location data, providing
further evidence that location context plays a key role in consumer engagement.
GETTING CUSTOMERS TO THE STOREFor brick & mortar marketers, driving store visits is another typical KPI. We found that store
visitation rates (the lift in store visits from mobile advertising) increased substantially when
high-quality location data was used. Store visitation lift improved 30%51% when compar-
ing the use of top-tier location data vs. bottom-tier location data.
LIFT IN STORE VISITATION BY LOCATION SCORE TIER
RETAIL VERTICAL RESTAURANT VERTICAL
THIRD-PARTY REVIEW OF LOCATION ACCURACYThinknear has partnered with Placed, Inc. to validate the performance impact of accurate
location data on store visitation rates. Placed is an independent third party partner and
manages the largest opt-in mobile user panel on the globe.
INDEXED
LIFT
TOP TIERLOCATION SCORE
TOP TIERLOCATION SCORE
INDUSTRY AVGLOCATION SCORE
INDUSTRY AVGLOCATION SCORE
In working with Thinknear,
Placed has directly measured
a clear correlation betweenaccuracy of location and in-
store visitation. Thinknears
Location Score provides
a metric to advertisers
to quantify the quality of
location as it relates to their
mobile ad campaigns.
David Shim, CEO, Placed
1.10
1.00
0.90
0.80
0.70
1.60
1.40
1.20
1.00
0.80
INDEXED
LIFT
BOTTOM QUARTILELOCATION SCORE
INDUSTRY AVERAGE
TOP QUARTILELOCATION SCORE
45% LIFT FROMBOTTOM QUARTILETO TOP QUARTILE OFLOCATION SCORE
LIFT IN TIME-ON-SITE BY LOCATION SCORE
0.75
1.00 1.00
1.08
1.30
1.51
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Location Score is the first step in providing the mobile industry with an
understanding of the importance of location accuracy and the impact on
marketers. The good news is that there is an enormous amount of high
quality location data available in the ecosystem.
Thinknear is focused on building the tools and platform needed to
ensure that brands have access to extremely accurate data with high
Location Scores. Better data correlates with higher conversions across
the metrics that matter most and the industry will continue to improve
and expand over time.
Marketers should focus on finding sources of high quality location data
and using location to its fullest potential to help brands connect with
consumers on their mobile devices. The results will include higher confi-
dence surrounding the targeting data and better performing campaigns.
Location Score was designed to help marketers build and deliver better
mobile campaigns. Transparency and measurement are key factors in
growing the mobile industry and Thinknear is committed to delivering
tools to improve mobile marketing.
THE FUTURE OFLOCATION ACCURACY
EVEN WITH THE LARGE AMOUNT OF INACCURATEDATA IN THE INDUSTRY, THERE IS AN INCREDIBLEAMOUNT OF HIGH QUALITY LOCATION DATAAVAILABLE TO MARKETERS.
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Thinknear is a location technology company and full-service mobile advertising
network focused on delivering amazing advertising campaigns for agencies, brands
and consumers. Thinknears platform delivers the accuracy, scale and technology
required to effectively leverage mobile location data to power better consumer
experiences. In mobile, precision matters, and as a division of Telenav, Thinknear
leverages exclusive access to over 14 years of proprietary location data. To learn
more, please visit www.thinknear.comand follow @thinknearon Twitter.
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