mima minneapolis 2014 the future of mobile
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1
2014 MIMA CONFERENCE
YOUR MOBILE DEVICE IS HERE
44.9727466, -93.2738237
THE FUTURE OF MOBILE
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BEACON DEMONSTRATION
1. Go to the following url:http
://tinyurl.com/lqk9npu
2. Click on the ad
3. Tap to add to passbook
4. Make sure Bluetooth is turned on
Or, follow @DanielMaxwell on twitter
and link from there
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The Mall of America in Bloomington, MN (44.854865,-93.242215) is the largest mall in the US and is equal in size to:
A. 95 Olympic-Size Swimming Pools
B. 25,243 African Elephants
C. 78 Football Fields
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A. 95 Olympic-Size Swimming Pools
B. 25,243 African Elephants
C. 78 Football Fields
The Mall of America in Bloomington, MN (44.854865,-93.242215) is the largest mall in the US and is equal in size to:
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VERVE MOBILE – MOBILE TRENDS
+ IT IS A MOBILE WORLD!
+ BIG DATA
+ PROGRAMMATIC / XP
+ ATTRIBUTION
MIMA CONFERENCE 2014
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STEPPING BACK:IT’S A MOBILE WORLD
TELEVISION
1939
PERSONAL COMPUTER
1973
GAMING CONSOLE
1972
TABLET
2010
PROJECTED 2014 GLOBAL SHIPMENTS
TVS
240MM
42MM
PCS
333 MM SMARTPHONES
919MM
TABLETS
190 MM
SMARTPHONES ARE THE NEW PERSONAL COMPUTER
GAMING CONSOLES
SMARTPHONE
2007
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SMARTPHONE SALES
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Q4 2009
Q4 2010
Q4 2011
Q4 2012
Q4 2013
0 50 100 150 200 250 300 350
Global Smartphone Quarterly Units Shipped (MM)
Global Smartphone Quarterly Units Shipped (MM)
SOURCE: Morgan Stanley Research
TABLETS
CONSUMERS ARE RELIANT ON MOBILE DEVICES
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61%Penetration
6% in 2008
VS.
40%Penetration
VS. 0% in 2009
SMARTPHONES
FASTEST GROWING PRODUCT IN HISTORY
TABLET SALES GROWING FASTER THAN PC SALES
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Q1 2009 Q1 2011 Q1 20130
20
40
60
80
100
120
Global Units Shipped (MMs) Desktop Global Units Shipped (MMs) TabletSOURCE: Morgan Stanley Research
AMERICAN’S SPEND 2 HOURS A DAY ONLINE WITH A SMARTPHONE
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Live TVRadioSmartphoneInternet on a PCTimeshifted TVGame ConsoleDVDMultimedia Device
SOURCE: NIELSEN Q4 2014
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MOBILE MEDIA CONSUMPTION
Print Radio TV Internet Mobile0
20
40
60
80
100
120
140
160
3344
8170
145
Time Spent
Mins A Day
SOURCE: Small business Yahoo: Mobile: The Future of Local Search. 2/25/2014
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MOBILE USAGE: 160 TIMES A DAY
6:35 AMTrack news and traffic conditions
2:31 PMHow is the market doing?
5:25 PMWho’s playing tonight?
7:45 PMCheck social media feeds
Check the news while watching TV
9:18 PM
SOURCE: Journal Personal Computing / Helsinki Institute Information Technology
CONSUMERS EVEN WATCH TV CONTENT ON MOBILE
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MOBILE DEVICE
4%
CIRCA 1950
TV SET (LIVE)
100% OF VIEWING
CIRCA 2014
COMPUTER
6%TV SET (LIVE)
57%
SOURCE: Horowitz Associates, State of Cable and Digital Media Report, 4/14
US TIME SPENT VS. MEDIA SPEND
TV Mobile Online Radio Print Other$0
$10,000,000,000
$20,000,000,000
$30,000,000,000
$40,000,000,000
$50,000,000,000
$60,000,000,000
$70,000,000,000
0%
5%
10%
15%
20%
25%
30%
35%
40%
Ad Spend (Billions) Time Spent
Ad
Spen
d (b
illio
ns)
Tim
e Sp
ent
SOURCE: Advertising spend based on IAB data for full 2013
PROJECTED GLOBAL MOBILE AD $s
16SOURCE: eMarketer: Mobile Internet Ad Spending Worldwide
2012 2013 2014 2015 2016 2017 20180
10
20
30
40
50
60
70
80
90
100
Mobile Internet Ad Spend
Bil
lio
ns
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IN THE NOW:BIG DATA
AS COMPELLING A SIGNAL AS ANY THAT HAVE COME BEFORE, LOCATION DATA GIVES A NEW 360° VIEW OF THE CONSUMER – WHERE THEY GO, WHAT THEY DO, WHAT THEY LIKE AND WHO THEY ARE.
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QSR2:15 PM40.76163,-73.96818
GRAMMAR SCHOOL9:30 AM40.76357,-73.96359
CHILDREN’S APPAREL STORE12:05 PM40.76291,-73.96516
PLAYGROUND2:47 PM
40.7660479,-73.9645556
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PATH TO PURCHASETARGETED ADVERTISING
PURCHASE LOCATION3:32 PM40.75462,-74.00491
PROXIMITYTARGETING
AUDIENCETARGETINGMom With Children In Household
AUDIENCE RETARGETING
PATHANALYSISInsights and Attribution
*For illustrative purposes only. Verve utilizes substantially more datapoints and 3 rd party data to calculate actual proximity, audience segments and sales analysis.
VERVE DRIVES CONSUMERS TO POINT OF PURCHASE TO BUY PRODUCT…AND PROVES IT
COMPETITOR LOCATION4:55 PM40.7621749,-73.9728615
ONLINE DESKTOP PROFILESDAY 1 DAY 2 DAY 3 DAY 4 DAY 5
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CONSUMER JOURNEY: BEFORE
NBCSPORTS YELP TWITTER BUZZFEEDYOUTUBE
FACEBOOK NETFLIX PINTERESTYAHOOSPORTSIMDB
NY TIMES ESPN CNN THE ECONOMISTTUMBLR
FORBES THE NEW YORKER NY TIMES GOODREADSCBS
SPORTS
MOBILE HAS CHANGED THE GAME
+You and only you use your mobile phone
+Your mobile phone is always with you
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MIMA CONFERENCE 2014
HOTEL10:15 AM
40.76163,-73.96818
CONVENTION CENTER1:15 PM
40.76357,-73.96359
RESTAURANT12:05 PM
40.76291,-73.96516
OFFICE BUILDING3:32 PM
40.75462,-74.00491
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BUSINESS TRAVELERCONSUMER JOURNEY: AFTER
CHICAGO O’HARE AIRPORT
6:00 AM41.974162,-87.907321
JFK INTERNATIONALAIRPORT
8:45 AM35.9350121,-75.6014349
Mobile devices allow us to understand the consumer like no other medium – You are what you do and where you go
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Verve’s VLS™ technology consumes, analyzes and weights the following factors/data to create the most verifiable and precisely-targetable audience segments available:
DEVICE LOCATION PATTERNS / PATHS
Using 1st party data Verve collects device activity/movement, providing insights into the consumer’s journey.
HOUSEHOLD-LEVEL DEVICE MATCHING: DEMOGRAPHICS
Device-to-Home matching connects demographic data to 50MM mobile devices.
HOUSEHOLD-LEVEL DEVICE MATCHING: TRANSACTIONAL
Device-to-Home matching connects transaction and purchase data to 50MM mobile devices.
CUSTOMCONSUMERSEGMENT
PLACEANALYSIS
Analysis of areas that show high propensity for target prospects.
PEOPLE TARGETING
METHODOLOGY
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COLLEGESTUDENT
0e1034bd-f780-4f3a-b2ac-b9a9b3fee775ANON. ID
CURRENT LOCATION41.8844, -87.6258Starbucks
HOME LOCATION38.9990, -77.1604
WORK LOCATION38.9526, -77.1307
OTHER SEGMENTSMillennials Movie Goer
RECENTLY VISITEDTargetGapDunkin’ DonutsExpress
IDENTIFYING HOME LOCATIONVERVE CONSUMER SEGMENTS
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BUT WAIT…THERE’S MORE!
HIGH TRAFFIC AREAS FOR TOYOTA CONSUMERSMAP-BASED INSIGHTS: CONSUMER TRAFFIC HEAT MAP
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Lowest traffic activity for your consumers
Medium-high traffic activity for your consumers
Highest traffic activity for your consumers
Medium traffic activity for your consumers
Competitor Locations
Your Locations
HIGH TRAFFIC AREAS FOR HONDA CONSUMERSMAP-BASED INSIGHTS: CONSUMER TRAFFIC HEAT MAP – COMPETITOR
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Lowest traffic activity for Competitor consumers
Medium-high traffic activity for Competitor consumers
Highest traffic activity for Competitor consumers
Medium traffic activity for Competitor consumers
Competitor Locations
Your Locations
CONSUMER HABITS FOR TOYOTA SHOPPERS: COMPETITOR LOCATIONS
VERVE’S PRE-PATH ANALYSIS
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AutoZone
Nissan
Chrysler
Honda
Volkswagen
Hyundai
Subaru
Kia
Acura
15x
42x
55x
78x
84x
95x
112x
126x
294x
Relative Visitation
+ Insights
PRE AND POST VISIT
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Simon Malls
Wells Fargo Bank
Duane Reade
Honda
Walgreens
Acura
Subaru
Sally Beauty Supply
Burger King
Chrysler
Volkswagen
The Little Gym
The Home Depot
Kia
AutoZone
Hyundai
-1 2 0 0 -1 1 0 0 -1 0 0 0 -9 0 0 -8 0 0 -7 0 0 -6 0 0 -5 0 0 -4 0 0 -3 0 0 -2 0 0 -1 0 0 0 1 0 0 2 0 0 3 0 0 4 0 0 5 0 0 6 0 0 7 0 0 8 0 0 9 0 0 1 0 0 0 1 1 0 0 1 2 0 0
Post VisitPre Visit
PRE AND POST VISIT
Chart depicts the relative volume of consumers visiting other locations 1 hour before and 1 hour after..
Toyota
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AND WE’RE JUST SCRATCHING THE SURFACE!
LOOKING FORWARD:PROGRAMMATIC / XP
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HAND IN HAND
+ Programmatic platforms have been primarily focused on “cookie based” buying with the following goals:
+ Greater efficiency – cross buy frequency capping+ Reduced cost + More control
+ Cross platform buys aim to reach the consumer across multiple mediums with the following advantages:
+ Greater share of voice at an individual consumer level+ Relevant advertising based on the medium “mindset”+ Greater efficiency - Cross platform frequency capping
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PROGRAMMATIC / XP
CHALLENGES
+ However, there are challenges that remain to be solved:+ Display advertising = cookies+ Mobile app advertising = Device IDs+ Android mobile web = cookies+ iOS mobile web = no cookies
+ Most DMPs and DSPs have no concept of a device ID + DSPs are set up to optimize around cookie buying and
click or conversion goals
Mobile campaigns target based on location and place value on secondary actions and real world behaviors
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PROGRAMMATIC / XP
LOOKING FORWARD:ATTRIBUTION
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CLOSING THE LOOP
THERE ARE SEVERAL METHODS FOR ATTRIBUTION AVAILABLE IN MOBILE:
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MOBILE ATTRIBUTION
SKU Level - Shopper Loyalty Panel
FOOT TRAFFIC
Geo-Panel
Impression Attribution
App Panel
PURCHASE BASED
Retail Level – Credit Card
Product Level – Scanner Panel
HOW IT WORKSFOOT TRAFFIC INSIGHTS
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Other locations
Your location
HOW IT WORKS
Your campaign launches. There will be consumers who see an ad and others who do not.
Exposed to the campaign*
Control*
*Exposed and Control groups determined post-campaign (not pre-selected). Campaign reach not impacted. Campaign served in full and without prejudice.
HOW IT WORKSFOOT TRAFFIC INSIGHTS
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HOW IT WORKS
We measure who goes toyour location.
Other locations
Your location
Exposed to the campaign*
Control*
*Exposed and Control groups determined post-campaign (not pre-selected). Campaign reach not impacted. Campaign served in full and without prejudice.
HOW IT WORKS
HOW IT WORKS
We measure who goes toyour location and where else they go.
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THE CONSUMER PATH
Other locations
Your location
Visited your location
Did not visit your location
CAMPAIGN EXPOSURE QUADRUPLED FOOT TRAFFIC PERFORMANCE INSIGHTS: TRAFFIC & FREQUENCY RESULTS
Consumers exposed to the campaign were almost 300% more likely to visit locations than those who were unexposed.
Index* % Foot Traffic Lift
FOOT TRAFFIC LIFT 395 295%
FREQUENCYLIFT 232 132%
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LEVERAGE GEO-CONQUESTING TO DRIVE FOOT TRAFFIC
100 150 200 250 300 350 400100
200
300
400
500
600
700
800
Frequency Index
Tra
ffic
Ind
ex
Retargeting
Geo-Fencing LocationsGeo-Conquesting
PERFORMANCE INSIGHTS: FTI BY TARGETING TACTIC
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TARGET SMALL DMAS TO MAXIMIZE FOOT TRAFFIC LIFT
100 120 140 160 180 200 220 240 260 280100
150
200
250
300
350
400
450
500
Small DMAs
Medium DMAs
Large DMAs
Frequency Index
Tra
ffic
Ind
exPERFORMANCE INSIGHTS: FTI BY DMA
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VERVE PURCHASE BASED SEGMENTS & ATTRIBUTION
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METHODOLOGY:
2
NCS HH DATABASE
VERVE PURCHASE
BASED SEGMENTVERVE / NCS COMBINED
VERVE HH MATCHING
DEVICE USER PROFILE
(50+ MILLION HHs)
DEVICE GPS
COORDINATES
TARGETED MEDIA TO PURCHASE
SEGMENT
CUSTOMERPURCHASES
NCSSHOPPER
DATA
ROIINCREASED
SALES
1
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AND NOW WE CAN GET EVEN MORE GRANULAR
WHAT ARE BEACONS:
44
45
WRONG, WRONG, WRONG!!!
BEACONS CANNOT:
Track your location
“Tell” advertisers (or anyone else anything)
Identify your smartphone
Identify who you are
Track your every move
46
Beacons
A “DUMB” DEVICE
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Beacons
Think of a beacon as a dog whistle:+ Emits a signal+ Can be listened for by certain
devices/apps+ Apps can be programmed to perform an
action when in proximity to a beacon+ POS Advertising+ Attribution!
BEACON AVAILABILITY
+ All iPhones since the 4S (and Macs, iPods, iPads)
+ High-end Android devices since 2013, Android version 4.3+ (13.1% in March 2014)
+ Range of 50 to 150 feet
+ Hardware either battery or USB powered
+ Beacon prices range from $5 to $40
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iBeacon: Apple’s standard, supported in iOS 7+ Ubiquitous+ Simple+ Immediate deployment with Passbook
Gimbal: Qualcomm’s standard, requires SDK+ Management, deployment tools+ Secure: permissions control visibility+ Dual-mode support for iBeacon
BEACON PROTOCOLS
HOW IT WORKS
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1
2 3
Person near the location (lat / long) sees offer on their iPhone
While in the location, theBeacon triggers the offer to display Guest redeems
offer-based messages
SAVE 10%
BEACONS
51
BEACON DEMONSTRATION
1. Go to the following url: http://tinyurl.com/lqk9npu
2. Click on the ad
3. Tap to add to passbook
4. Make sure bluetooth is turned on
BENEFITS
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OFFERS+ Beacons trigger contextually relevant offers+ Impact consumer behavior at/close to the point of sale
CREATE LOYALTY SEGMENTS TO RETARGET+ Create Best Western segments and retarget them
PATH INTELLIGENCE+ Leverage consumer path knowledge in marketing
ATTRIBUTION+ Measure the impact of advertising efforts
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US PROXIMITY MOBILE PAYMENT TRANSACTION VALUE 2012-2017
2012 2013 2014 2015 2016 20170
10
20
30
40
50
60
-0.4
0.1
0.6
1.1
1.6
2.1
2.6
3.1
$0.54 $1.04 $2.59
$9.69
$26.45
$58.42
93.4%
148.6%
273.8%
173.0%
120.8%
Proximity Mobile Payment Transaction Value % Change
SOURCE: eMarketer, July 2013
Note: Point-of-sale transactions made by using a mobile device as a payment method; includes scanning, tapping, swiping or checking in with a mobile device at the point of sale to complete transaction.
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SINGLE-SOURCE CLOSED LOOP ATTRIBUTION
Served an Ad on Mobile
Purchase Made Using Mobile Wallet
Direct Attribution
MOBILE WALLET
Follow the Path to Purchase
AD
3
21
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THE END
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