Checks their phone 150x per day Has 20 apps installed on their device Goes to their phone 12x per day to play games The Average Smartphone User…

"M-Commerce" is growing: 55% of time on retail sites is spent on mobile devices 142 million U.S. consumers owned smartphones, 69 million owned tablet devices (6/13) –close to one of every 10 e-commerce dollars was transacted via smartphones and tablet devices –spending per buyer was higher on smartphones than on tablet devices. M-Commerce

Effect of Mobile directly seen across Verizon channels VZW.com Shopper Visits: Feb 2012 – June 2013 Mobile Influences Shopping Behaviors

Shopping Aside, How Are Consumers Using Mobile Devices? May 2013 “How US Consumers Shop On Mobile Devices” Mobile is Not a Silo

Mobile Media: In-App vs Mobile Web 82% of all time spent on mobile is in-app CONSUMER LANDSCAPE Device: Smartphone is mostly in-app, while tablet is growing in mobile web Shopping: Smartphones used more for browsing and tablets for transactions VERIZON APPROACH Focus on in-app, with some mobile web across segments/devices – For in-app, app download KPI – Some mobile web for broad reach – More conversion driving environments, sales KPI

Core Mobile Marketing Challenges Identification & TargetingCreative & EngagementMeasurement

Identification: Operating Systems Fragmentation “ Without sophisticated tracking, running mobile advertising is like throwing money out the window. It's worse than buying TV advertisements”. - Ravi Kamran, CEO of Trademob Mobile Web and App have separate tracking mechanisms - not in sync with ad networks and publishers

Targeting: A single user may look like one or more separate individuals

The Screen Size Effect Are mobile ads intrusive or engaging?

Mobile Measurement Evolution Minimal differentiation between smartphone and tablet KPIs the same as desktop (i.e., CPGA, online conversions) Limited mobile media presence Current2014 and beyond Unique goals by device based on user behavior Evolve measurement capabilities and performance goals Increase mobile spend Account for consumer behavior and measurement advances to enhance mobile approach and justify investment

Monetization Opportunities Audience targeting App discovery Accessory Sampling Connectivity and smart appliances and hardware, to and through the device -In the home -On the go -For business Goal: Use mobile tech + big data to empower & simplify people’s lives

20+MM Mobile Unique Visitors 100 Million Customers Profiles #1 Mobile Network Provider in the US Audience Profiles Precisely Target the Right Audience with Our Mobile Solution

Mobile Targeting Capabilities Remarketing Demographic & Psychographic Content Categories Device, OS, Carrier Keyword Targeting Location

Sample VZW 1 ST Party Data Segments Age Presence of Children Device Profile Primary Language Education Ethnicity Gender Current Location Homeowner Status Household Income Marital Status Mobile Operating System Top Browsers Top 100 Apps. Used Top 100 Apps. Downloaded Top 25 App. Categories Top 25 Site Categories Top 100 Sites Visited

Quiz Top grossing app? Percentage of total app revenue the top 100 apps account for? What portion of apps in the App Store have never been downloaded? A: A: 85% A: Two-Thirds (900K apps available for iOS

Formats – Mobile Display Mobile Web or In-App Banners or Full-Screen Usually CPI Static or Rich Media – Appwalls CPI Revenue Share Appvertising On Mobile Source: AppTap Source: AppLift

Appvertising on VZW Desktop App marketing not as prevalent on Desktop, but still significant opportunity – even with a CPI model New ad networks allow users to text themselves links to download the app on their mobile device Source: Txtmeapp.com

How to Solve Mobile Non PII Cookie-less tracking that enables accurate identification, targeting and measurement across Mobile (app+web) and cross device

Utilizing Mobile to Measure Digital’s Impact IP Matching User clicks on Mobile Ad User parameters are logged in a database for future identification on desktop devices User is sent to mobile landing page User does not complete specified activity (purchase or App install) User is identified later on a desktop device by matching IP address and referring URL patterns User is retargeted on desktop device Several measurement opportunities are based on the concept of IP Address Matching

How It Works Integration with buying platform UIDH Device identification is the key to unlocking this fragmented media space – cross-device marketing