unlock app marketing success with rewarded ads

Post on 24-Jan-2018

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Housekeeping

- 35 Minutes

- Ask questions at any time via this panel -->

- Q&A at the end

- Recording & slides via E-mail

3

INTRODUCTION

● Vice President, EMEA & India at AppLift.

● Since joining AppLift in 2014, Chris has successfully enabled substantial growth of the existing advertiser base as well as on-boarded multiple new clients.

● Prior to joining AppLift, Chris spent 4 years working for Google across various location in Europe. His marketing expertise is complemented by a strong tech appreciation stemming from his time with Oracle.

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AGENDA

Current state of Rewarded Ads in 2017: How it has grown from being more than just incentivised traffic

Evolution of Rewarded Ads: From burst campaigns to ongoing

incentivised campaigns

Volume and scale of doing rewarded ads: How to take advantage of volume

and popularity of doing incent on organic

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WHAT ARE REWARDED INSTALLS?

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This ad model rewards a user in exchange for completing an action – such as installing an app, engaging with an app, etc. The reward is typically a virtual currency, a game item, or a discount on a product / service.

Offer Walls In-App Rewards

● Volume: High install volumes in short period of time

● Price: Cost-Per-Install (CPI) significantly lower than for non-rewarded installs

● Reach: Mass-Market Audience

Benefits:

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GOING BACK TO 2012

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● Google play store changed the way they rank apps on the store.

● 24 hour bursts which were very common back in the day were not allowed

● Agencies came into play - they learnt how to spot bot installs.

EVOLUTION OF REWARDED ADS

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WHAT HAS CHANGED?

Burst campaigns were not only used to drive rewarded

installs.

Restrictions in Google’s

policies on incentivised

installs for UA.

AppLift goes one step beyond incent with CPX

campaigns.

CPX campaigns are unique in the

industry (positive results for advertisers).

What do we offer?

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WHY & WHEN REWARDED? LAUNCH

Objective:

- Short-Term Visibility - Acquire high-value organic users - Positive ROAS (Return on ad spend)

GROW Objective:

- Long-Term Visibility - Sustainable growth - Positive ROAS

Burst Campaign

Sustained categoryburst campaign

Sustained rewardedinstall campaign

RETAIN

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FEATURES

Major Supply Aggregation

Fraud Detection & Prevention

Real-time Campaign Adjustments &

Reporting

Machine-learningBidding-Engine

Fully Managed Service

Cross PublisherLTV Optimization

- Organize data & normalize your KPIs- Maintaining multiple tools to keep track of your campaigns- Making educated marketing decisions

Your challenges as a mobile marketer

14

  

#1iOS

Attribution SDK*

22,000+Integrated

SDKs

150+Employees

100+ BillionData points

tracked monthly

1000+IntegratedPartners

2 PetabytesMonthly Traffic

How AppLift and Adjust integrate

● “Plug-and-play” integration

● Link events for sophisticated targeting

● All relevant data automatically shared

● Use Adjust’s tracker wizard to generate your tracking URL ready for action

How to measure impact of rewarded ads

● Per AppLift’s default setup, users are split using the below structure on your adjust dashboard:

○ Offer Name■ Affiliate_id

● Creative name (set manually in tracker URL)

● Adjust’s integration with AppLift uses dynamic tracking URLs, allowing for customization of this structure to best suit your needs.

Example: How to measure impact of rewarded ads

Comparing networks / campaigns / affiliates / creatives

Example: How to measure impact of rewarded ads

Cohort analysis of user behavior to identify sources of high value

Example: How to measure impact of rewarded ads

Using Adjust’s feature set for further analysis

● Use Adjust’s dynamic callbacks to pair together internal IDs and device information and send to your backend / third-party storage (like AWS)

● Use Adjust’s audience builder to create always-up-to-date segments forretargeting, A/B testing & comparison purposes

● Use real-time reporting with an infinite look-back window to accurately analyze your UA campaigns & make well-informed marketing decisions

Chris GodderidgeAppLift

Michael PaxmanAdjust

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