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What To Expect From Mobile Advertising in 2020: From The Experts

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What To Expect From Mobile Advertising in 2020: From The Experts

A new year always brings new challenges and tremendous opportunities. With the end of 2019 approaching fast, 12 mobile marketing professionals in APAC share with us their views about the mobile industry in 2020. Don't expect predictions or trends — only real perspectives from seasoned professionals sharing what is on their minds and what they would like to see happening in the year ahead.

From the broader application of AI, the need to be more connected to customers to deliver real value, to the desire for more innovation and disruption in the industry, we can expect to see quite a few important topics shaping the app marketers' world next year.

Let's hear from experts in Asia what is in their minds for 2020 when it comes to mobile advertising.

CHI DONGBIN, UA Team Lead, Flerogames

What's on your mind when it comes to mobile marketing in 2020?

As UA solutions become more and more sophisticated, we are thinking about how to improve the capabilities of our in-house marketing managers. We are very interested in how to efficiently measure performance and make decisions to achieve the appropriate strategy for each app and genre.

What concerns me is the trend in which strategy and execution are applied like a formula that can solve all problems without considering the product that they are marketing. With this kind of direction, there are concerns that, in the long run, in-house marketing managers will no longer be needed.

JEFF, Marketing Leader, China's leading mobile gaming company

What's on your mind when it comes to mobile marketing in 2020?

Machine learning is a big topic, and it can make most optimizers lose their jobs in the future.

JINA HAN, Manager, W Concept Korea

What's on your mind when it comes to mobile marketing in 2020?

As many businesses are regarding app as a major area of business nowadays, it now seems that app is more important than the mobile web. In 2019, we started to increase our investment in in-app marketing. For 2020, we are preparing to make further shifts to app marketing. What we are looking to do in 2020 is increasing retention and retargeting, advancing targeting, and producing competitive content.

Where are you betting your chips on?

We are planning to advance the app re-engagement further and use solutions to automate targeting. Also, we are planning to blend performance marketing and branding and finding appropriate media platforms for this strategy that can show different content to each target. At the same time, we are preparing to diversify creative content for the same reason. Furthermore, we are looking to invest more on SNS and YouTube channels to create "shoppable" content to support sales.

What are you looking forward to the most in 2020?

Previously, the majority of mobile app purchasers were in their 20'-30's. Still, we are hearing and seeing that users above 40's are increasing purchases on mobile as well, thus reassuring the movement toward the app environment. Although users in '40s are not our core target, we would like to widen our audience, with the support of the right media partners, to target and show appropriate products to these users.

What do you see changing in mobile marketing in 2020?

As content consumption continues to increase in video channels such as YouTube, there is much need for channel expansion and utilization. As in 2019, it will be important to see who can move content more quickly towards the trends that users might be interested in.

JOOYOUNG KIM, User Acquisition Manager

Where are you betting your chips on?

There are several points currently on my mind. Among them is the topic of enhancing the utilization of DSP media (with lower reliance on Facebook and Google and also deliver higher performance overall). Along with that, there is a need to increase marketing results by using the company's internal user information (DMP) customers. I'm particularly interested in understanding how other companies are approaching this. Finally, one of the main focus for 2020 will be how to reach and acquire users with high ROAS or ROAS potential. I'm talking of paying users and loyal users.

What are you looking forward to the most in 2020?

I'm looking forward to increasing the efficiency of marketing performance analysis, in particular, linking marketing performance analysis results to business and development from a growth hacking perspective.

What do you see changing in mobile marketing in 2020?

I expect to see new ad fraud taking a different shape from what we see today. It seems like there is always a new fraud coming.

LINUS ANTLOV, Head of Performance Marketing & Marketing Analytics, HappyFresh

Where are you betting your chips on?

There are several topics that will deserve our attention in 2020. With both Facebook and Google moving more towards campaign budget optimization and machine-powered app campaigns, we see that AI and machine learning will become central themes for advertisers. Advertisers will have to adapt and learn how to support the machine learning process. As a result, we believe strong creatives and copywriting will also play a more prominent role in ads while machine learning defines which target audience reacts best to it.

Another big topic for 2020 will be retargeting. As more and more advertisers and brands turn to mobile, users are overloaded with new apps. To break through the noise and stay relevant, we believe in having a reliable retargeting partner who focuses on driving incremental ROAS. This will be a key effort to ensure customers are reminded of our app and continue to engage with it. Simply put, retargeting: if you don't do it, your competitor will.

Traditionally, the marketing role is to 'sell' its brand's promise. In this sense, we believe, in 2020, it becomes marketing's duty to ensure the brand fulfills this promise to the customer. There is a need for marketers to look beyond traditional advertising, get more engaged with the customer experience, and involve other departments to ensure the brand delivers on its promise.

What are you looking forward to the most in 2020?

We are most excited to see mobile and desktop web being able to attribute sales to a mobile app, which is something we are working closely with AppsFlyer to understand. This would enable us to fully understand the impact our web has on our app conversions, and eventually fuel our mobile app growth.

What do you see changing in mobile marketing in 2020?

Advertising competition and scaling beyond the duopoly are two topics currently on our minds. As advertising costs increase on the duopoly (Facebook & Google) for mobile app marketing, advertisers will need to find other scalable programmatic partners to ensure their marketing ROI remains positive. We believe we will see more ad spend going into partners that are capable of doing both user acquisition and retargeting since they can guide the customer through its entire lifecycle.

MINCHEOL BAE, Sr. Manager, Birdview

What's on your mind when it comes to mobile marketing in 2020?

A smooth user loop. We're noticing a rising interest in the usage of video assets. The major points of future discussion would be about branding and creatives related to branding.

A top focus for the coming year would be maximizing performance via video assets; thus, major topics would be the quality, resources, and efficiency of these video assets.

SALLY, Marketing Leader of Retargeting, China's tier 1 cross-border e-commerce platform

What is on your mind when it comes to mobile marketing in 2020?

With the decline of the Internet demographic dividend, remarketing is becoming increasingly important.

SAMUEL NAM, CEO, Remake

Where are you betting your chips on?

We're betting all of our chips on creative optimization and automation. Computer vision techniques, and generative models to a certain extent, as seen in deep fakes that have matured enough for machine learning to be finally applied to ad design. Our team is preparing for this wave 1) technologically by building a new design automation service called CROLO 2) organizationally by realigning our design team to be totally data-driven.

What are you looking forward to the most in 2020?

I'm looking forward to more collaboration between Remerge and Remake. Let us 'REvolutionize'.

What do you see changing in mobile marketing in 2020?

2019 felt a lot like 2018 replayed again. I'm hoping to see more innovation coming in 2020!

SEBIN IM, Director, Marketing, Devsisters Corp.

Where are you betting your chips on?

Recently, we are paying careful attention to the creative trend represented by Fake Ads.

What are you looking forward to the most in 2020?

We expect the combination of AI and AdTech to bloom, which will deliver both convenience and performance to advertisers, including Facebook's Automated App Ads.

What do you see changing in mobile marketing in 2020?

We are also concerned about the change in advertising response rates due to the growing resistance to Fake Ad Creative by end-users.

SHOHEI OCHI, Corporate Planning Headquarters Web Strategy Dept., General Manager, Nano Universe Co., Ltd

What is on your mind when it comes to mobile marketing in 2020?

Japan's mobile e-commerce market, which had shown the potential for a grand scale, is predicted to slowdown in growth. To be more precise, brands that relied on traffic from investing in SEM will be facing their limits.

There is a particular phenomenon in customer behavior to take note of – the boundary between the online/digital and the real/offline is almost gone. To be more precise, the user would first see the product online, come to the actual store, try out the product, consider and go back to online/digital and make the purchase.

With that said, we should aim to assist all of that customer journey within mobile apps and provide a product with originality and a stress-free buying experience. In other words, the usage of mobile apps will not be limited to e-commerce but will be a trend in 2020 for actual offline real store experiences.

SHUHEI OGITA, Executive Officer, Septeni America Inc.

What is on your mind when it comes to mobile marketing in 2020?

As next year brings the 2020 Tokyo Olympics, we expect to see changes both in the market and in the services offered. In Japan, the "work style reformation" is being pushed by both government and the private sector. This focus on shortening working hours and achieving results will eventually lead to increased time spent on hobbies and leisure.

We expect this trend to lead to increased expenditure in the hobbies/entertainment sector when compared to 2019. Accordingly, there is a big market opportunity for this sector, and we believe that the scale of marketing needs will also expand in this vertical.

What are you looking forward to the most in 2020?

In the advertising and tech area, we look forward to a broader development in voice advertising, diversification of OOH, and integration of online and offline events.

On the other hand, we believe that advertisers should prepare to face increasingly diverse challenges in the future.

With that said, as a global agency, we will continue to support advertisers to maximize their return by responding to the changes and diversification of the market and striving to deliver flexible services that meet their needs beyond just media operation and creatives.

WEIHAO ANG, Mytona

Where are you betting your chips on?

For 2020, AI technology and advances in marketing will continue to be one of the most important developments in the industry. AI tools that can cover the entire marketing funnel will be a valuable tool, and automation will continue to progress when more players start to adopt the technology. Social media and content sharing platforms like Youtube will likely continue to dominate mobile marketing.

What are you looking forward to the most in 2020?

We are hoping to see more disruption in the mobile space. More innovative games, control mechanics, and continued development in the AR/VR space will greatly improve the industry as the pace of innovation in games has slowed down recently. With device manufacturers implementing different ways of interacting with devices, maybe we will see more games and services utilizing these new methods as a way of interacting with their products.

What do you see changing in mobile marketing in 2020?

We expect the bigger publishers to continue dominating over the mobile market through their strong presence and branding in the mobile space and lesser chances for smaller companies to break out and gain more prominence. The battle of technologies and constant product innovation of UA tools and platforms will bring more benefits to consumers like us. We also hope for more reliable traffic sources and technologies to emerge to improve competitiveness within the mobile marketing space.

Note: Some responses were edited for length and/or clarity. A special thank you to all the professionals featured for giving their time and expertise for this piece.

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Retargeting lexicon
Programmatic Advertising

The automated process of buying and selling advertising space through digital platforms.

View-Through Attribution
view-through-attribution

Refer to: Attribution Methodology

Uplift Test
uplift-test

A randomized control trial test conducted by Remerge to measure the incremental impact of one or more campaigns.

See also: Randomized Controlled Trial

Uplift Report
uplift-report

A report by Remerge showing the results of an uplift test. It presents the incremental revenue generated, on top of organic and other marketing-driven conversions. Also contains observed values such as ad spend, group sizes, amount of conversions, converters, and revenues per group, plus other metrics.

SKAdNetwork
skadnetwork

Stands for Store Kit Advertising Network. Apple’s measurement framework for tracking mobile attribution. Introduced in 2018 and widely implemented in 2020 with the iOS 14.5 update.

Segment
segment

A group of users with common attributes such as location, demographics, activity level, value or amount of purchases, and how recently they last opened a specific app.

Retention Rate
retention-rate

The share of users active in the app within certain time frames after install, reengagement, or other events.

Retargeting
retargeting

A type of marketing channel used by an app owner to engage with their existing users through other channels within the same device. Usually, the aim is to encourage users to complete a particular task e.g. completing a purchase, buying in-game currency, placing a first order. The conventional way of retargeting relies on user IDs, such as AAID and IDFA.

Reshuffle
reshuffle

Reshuffle indicates the randomization and marking of users when they were once part of a test or control group.

In incrementality measurement, reshuffling the group assignment for a specific application fights aggregated bias over time where one group doesn't see any ads while the other group is constantly exposed to them.

Reshuffling is relevant in cases where a test has been running for a long time and/or in campaigns the experience more extensive changes to the campaign setups, segmentation, or creative strategy.

Real-Time Bidding (RTB)
real-time-bidding-rtb

The process by which individual ad placements are bought and sold via programmatic auctions that happen instantaneously. With real-time bidding, ad buyers bid on an ad space, which, if the auction is won, instantly displays the buyer's ad. This lets demand-side players such as advertisers or DSPs optimize the purchase of ad placements from multiple sources.

Randomised Controlled Trial (RCT)
randomised-controlled-trial-rct

A method that randomly separates a specific population into two groups that are as similar to each other as possible, namely the test group and control group.

further reading
Queries Per Second (QPS)
queries-per-second-qps

The number of ad placements a DSP is able to process in order to determine on how to bid on them.

Publisher
publisher

Within the sphere of app marketing, a publisher is an App Developer that gets paid for placing ads within their app. For example, an advertiser wants to reach their users via App Y, so they pay App Y to display their ads.

further reading
Public Service Announcement Ad (PSA Ads)
public-service-announcement-ad-psa-ads

An incrementality testing methodology where devices in the control group are shown PSA ads, like donation drives or road safety reminders. By serving real ads, information on the devices within the control group that would have been exposed can be obtained. Unexposed devices are excluded from the measurement to reduce noise.

Probabilistic Attribution
probabilistic-attribution

Refer to: Attribution Methodology

Organic Behavior
organic-behavior

A user’s behavior not directly attributable to specific marketing efforts.

Multi-Touch Attribution
multi-touch-attribution

Refer to: Attribution Methodology

Mobile Measurement Partner (MMP)
mobile-measurement-partner-mmp

Within the sphere of app marketing, MMPs are a service provider that specializes in measuring activities that are happening within and leading to the app. An app publisher may incorporate an MMP into their app to track activity and events e.g. time spent on a certain screen, sources of incoming traffic, app opening frequencies etc.

Lifetime Value (LTV)
lifetime-value-ltv

The amount of revenue generated by the user for the App Developer during the entire duration of the relationship with the user, beginning with the app install.

Last-Click Attribution
last-click-attribution

Refer to: Attribution Methodology

Key Performance Indicator (KPI)
key-performance-indicator-kpi

The key metrics used to assess the effectiveness of an effort in achieving its objective. In programmatic advertising, the common types of performance indicators depend on the goals and nature of each campaign. These can include ROAS, cost per action, and retention rate.

Intent-to-Treat (ITT)
intent-to-treat-itt

An incrementality testing methodology where no ads from the campaign are shown to devices within the control group. Also known as a ‘holdout test’. Cost-free and easy to implement, but with a relatively high level of noise.

This method compares the behavior of all users in both groups. In the test group, this includes both exposed and unexposed users

Incrementality
incrementality

A method of measuring the impact of a specific activity, on top of organic and other activity.

Incremental Revenue (iRevenue)
incremental-revenue-irevenue

The estimated revenue caused directly by the campaign.

Formula:Revenue from test group – revenue from control group = iRevenue

Incremental Return On Ad Spend (iROAS)
incremental-return-on-ad-spend-iroas

A KPI used in calculating how cost-efficient a campaign is. This is used to evaluate the relationship between incremental revenue and the amount of money spent on the campaign. The figure is typically represented in percentage.

Formula:
Percentage: [IRevenue ÷ ad spend] × 100 = IROAS%
Ratio: IRevenue ÷ ad spend = IROAS

Incremental Cost Per Action (iCPA)
incremental-cost-per-action-icpa

A KPI used to evaluate the cost of incremental conversions.

Formula:Ad spend ÷ [test group actions – control group actions] = iCPA

Incremental Conversions
incremental-conversions

The estimated amount of conversions caused directly by the campaign.

Formula:
Test group conversions – control group conversions (scaled) = Incremental conversions

In-app Event
in-app-event

Actions made by a user within the app, such as log-in, registration, completion of onboarding, or purchases. These events can be tracked with the help of an MMP.

Impression
impression

The deployment of the ad to the ad placement. An impression might not necessarily mean that the ad has been viewed.

Identifier for advertisers (IDFA)
identifier-for-advertisers-idfa

A unique random device identifier Apple generates and assigns to every iOS device. Advertisers can use this to track user activity across apps, show them personalized ads, and attribute ad interactions.

Ghost Ads
ghost-ads

A testing methodology that shows devices in the control group an ad ran by another advertiser on the platform, therefore removing any additional cost for clicks and impressions. The control group behavior is then marked with a ‘ghost impression’, which gives the information on which control group users would have been exposed.

further reading
General Data Protection Regulation (GDPR)
general-data-protection-regulation-gdpr

A regulation under the EU (European Union) law on data protection and privacy within the EU and the EEA (European Economic Area), that grants users control over how their data is stored and used by organizations. To comply with GDPR, programmatic sellers must clearly communicate to users how their data will be stored and used. When a user gives consent to an organization to process their data, it enables targeted advertising.

Exposure Rate
exposure-rate

The percentage of devices within a test group that received at least one ad impression, versus the total number of devices within the test group targeted within a campaign during an uplift test. For example, if 900 out of 1,000 users are shown an ad, the exposure rate is 90%.

See also: Uplift Test

Deterministic Attribution
deterministic-attribution

Refer to: Attribution Methodology

Deep link
deep-link

A link that sends users directly to a specific in-app location, instead of the app marketplace. Deep links bypass the steps needed to go through to reach a conversion point, bringing the user directly to where they can perform the intended action e.g. completing a purchase, buying coins, placing an order.

Test Group
test-group

Within the sphere of app marketing, this refers to the group of devices that may be shown ads from a specific campaign in the test. The actions on these devices are then compared to the actions on the devices in the control group.

Compare with: Control Group

further reading
Control Group
control-group

Within the sphere of app marketing, this refers to the group of devices within the target audience that are not shown ads from a specific campaign in the test. The actions on these devices are then compared to the actions on the devices in the test group.

Compare with: Test Group

further reading
Contextual targeting
contextual-targeting

A type of targeting that works with contextual signals only, such as location data (country, city, postal code), language setting, mobile operating system, device model, as well as publisher information.

California Consumer Privacy Act (CCPA)
california-consumer-privacy-act-ccpa

A bill that enhances privacy rights and consumer protection for residents of California, United States. The CCPA took effect on January 1, 2020.

The CCPA provides these rights to consumers:

- Know what personal data is being collected about them.
- Know whether their personal data is sold or disclosed, and to whom.
- Say no to the sale of personal data.
- Access their personal data.
- Request a business to delete any personal information that was collected from that consumer.
- Equal service and price, even if they exercise their privacy rights.

Attribution Window
attribution-window

A specific time frame that is taken into consideration when determining the source of a user’s action.

Attribution Provider (AP)
attribution-provider-ap

A role played by an MMP to credit the in-app activity of users to the correct media sources.

Attribution Methodology
attribution-methodology

Refers to the process of identifying which conversions belong to which preceding click or impression. Common attribution methodologies include:

  • Click-Through Attribution - Determines the source of a conversion based on the user’s click activity.

  • View-Through Attribution - Determines the source of a conversion based on the ad impression delivered to the user.

  • Deterministic Attribution - A model that establishes the origin of a user’s conversion from a specific click or impression, based on unique device IDs.

  • Probabilistic Attribution - A model that establishes the likelihood of a user’s conversion originating from a specific click or impression, based on the data logged on both occasions, such as device language, timezone, IP address, and OS version.

  • Last-Touch Attribution - A model that establishes a match between the action taken by a user (e.g. app open, purchase) and its corresponding ad click or impression. When a user converts from an ad, the DSP that delivered the respective ad is given full credit for that conversion event.

  • Multi-Touch Attribution - Also known as multi-channel attribution. A model determines the value of every touchpoint on the way to a conversion. Rather than giving full credit to one ad, multi-touch attribution divides the credit among all advertising channels that the user has interacted with, leading to the conversion.
Attribution
attribution

A method of identifying the touchpoints a user has encountered within a specified period before making a conversion.

App Tracking Transparency (ATT)
app-tracking-transparency-att

The privacy framework from Apple that, among other things, manages the process of obtaining user consent before accessing their Identifier for Advertiser (IDFA).

App Monetization
app-monetization

The strategy a publisher employs to earn money from their app. This can be done through in-app advertisements, paid membership, and charging for premium features or an ad-free experience, among others. For example, some gaming apps are free to download and play, but users may need to pay in order to progress to the next level quickly.

Android Advertising identifier (AAID)
android-advertising-identifier-aaid

Also known as Google Advertising Identifier. A unique device identifier that Android generates and assigns to every device. Advertisers can use this to track user activity across apps, show them personalized ads, and attribute ad interactions.

Advertisers
advertisers

The advertiser is a person or legal entity focusing on generating sales and leads through serving ads that convey the right message to the right audience at the right time.

In mobile advertising, the advertiser is on the client-side and is the one interested in promoting an app.

Causal Impact Analysis
causal-impact-analysis

A measurement framework developed by Google that works without device IDs. It measures the incremental uplift of one or more conversion events, removing the influence of other campaigns and organic conversions. Used to assess the effect of ID-less campaigns.

Similar to measuring the effect TV ads have, the principle is based on running campaigns on identifiable sub-markets (test group), while leaving other sub-markets unexposed (control group).

Ghost Bids
ghost-bids

An incrementality testing methodology based on Ghost Ads, adapted for retargeting campaigns. The difference is that it removes all devices that are not seen on ad exchanges, or that would not be bid on, from both test and control groups, to reduce noise. A bid is placed as usual for the test group, while the control group is tracked with ‘ghost bids’ (bids that could have been placed, but weren’t in the end).

Return on Advertising Spend (ROAS)
return-on-advertising-spend-roas

A KPI that measures the relationship between the revenue generated by specific advertising efforts and the money spent on them.

Formula

Percentage: [Revenue ÷ ad spend] × 100 = ROAS%

Ratio: Revenue ÷ ad spend = ROAS

See also: Incremental Return On Ad Spend

Supply-Side Platform (SSP)
supply-side-platform-ssp

A company that works with publishers to sell ad inventory across ad networks.

Demand-Side Platform (DSP)
demand-side-platform-dsp

A company that works with advertisers to purchase ad inventory across ad networks. Their platforms are built to identify a desired ad space and place bids on it.

Compare with: Supply-Side Platform

Open RTB
open-rtb

A digital marketplace where ad inventory from multiple publishers are available for advertisers to bid on in real time.

See also: Real-Time Bidding

Self-Attributing Network
self-attributing-network

An ad network like Meta, Snap, and Twitter, that attributes its traffic internally, without the involvement of third-party MMPs.

Variable Bidding
variable-bidding

The dynamic adjustment of bid prices based on a user's in-app behavioral patterns, contextual information, time of day, and ad placement performance.

Dynamic Product Ad (DPA)
dynamic-product-ad-dpa

Also known as a dynamic ad. It is dynamically assembled based on the user’s behavior and information sourced from a feed. This type of ad delivers a tailored experience for individual users.

Real-Time Audience Segmentation
real-time-audience-segmentation

The division of an audience into distinct segments based on real-time events, thus enabling targeted advertising and alignment with a user's behavioral patterns and preferences.

User Acquisition (UA)
user-acquisition-ua

A mobile marketing effort used to attract new users to an app. Paid UA may refer to ads shown in mobile ad networks or social media channels, while non-paid UA involves app store optimization and promotion on the advertiser’s own channels.

Programmatic Advertising
programmatic-advertising

The automated process of buying and selling advertising space through digital platforms.

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