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Case Study: “How to Monetize in Mobile"

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Page 1: Case Study: “How to Monetize in Mobile"
Page 2: Case Study: “How to Monetize in Mobile"

• 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…

Page 3: Case Study: “How to Monetize in Mobile"

• "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

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Effect of Mobile directly seen across Verizon channelsVZW.com Shopper Visits: Feb 2012 – June 2013

Mobile Influences Shopping Behaviors

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Shopping Aside, How Are Consumers Using Mobile Devices?

May 2013 “How US Consumers Shop On Mobile Devices”

Mobile is Not a Silo

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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

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Core Mobile Marketing Challenges

Identification & Targeting Creative & Engagement Measurement

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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

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

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The Screen Size Effect

Are mobile ads intrusive or engaging?

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Mobile Measurement Evolution

• Minimal differentiation between smartphone and tablet

• KPIs the same as desktop (i.e., CPGA, online conversions)

• Limited mobile media presence

Current 2014 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

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Monetization OpportunitiesAudience targeting App discoveryAccessory SamplingConnectivity 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

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• 20+MM Mobile Unique Visitors

• 100 Million Customers Profiles

• #1 Mobile Network Provider in the US

Audience ProfilesPrecisely Target the Right Audience with Our Mobile Solution

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Mobile Targeting Capabilities

Remarketing

Demographic & Psychographic

Content CategoriesDevice, OS, Carrier

Keyword TargetingLocation

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Sample VZW 1ST 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

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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

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• 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

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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

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

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Utilizing Mobile to Measure Digital’s ImpactIP 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

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How It Works

Integration with buying platform

UIDH UIDHUIDH

Device identification is the key to unlocking this fragmented media space – cross-device

marketing