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  • 8/12/2019 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

    2 Location Score Index Q2 2014 @Thinknea

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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.

    @Thinknea3 Location Score Index Q2 2014

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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

    4 Location Score Index Q2 2014 @Thinknea

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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.

    6 Location Score Index Q2 2014 @Thinknea

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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

    @Thinknea7 Location Score Index Q2 2014

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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.

    @Thinknea8 Location Score Index Q2 2014

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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.

    LOS ANGELES

    SAN FRANCISCO

    NEW YORK

    CHICAGODALLAS

    Advertiser Contact Info

    [email protected]

    Media Inquiries

    [email protected]

    Twitter

    @THINKNEAR

    Copyright 2014 Thinknear by Telenav.

    The Android robot is reproduced or modified from work created and shared by Google and

    used according to terms described in the Creative Commons 3.0 Attribution License.