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Here's how retargeting supports app growth for gaming

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Here's how retargeting supports app growth for gaming

Competition continues to be one of the main challenges for mobile game developers, exacerbated by the sheer number of games that are out there. On one side, we see a growing user interest in games; on the other hand, with more and more new games entering the market, it's becoming harder and harder for games to turn their new users into engaged and paying players.

In this article, we breakdown the main ways retargeting can support growth for gaming apps.

Why do gaming apps need retargeting?

How do mobile gaming apps turn a large user base into an audience that is truly engaged and drives revenue? One way is in-app retargeting.

The latest data report from Adjust highlights that gaming users are expensive to acquire, but session lengths and frequency are increasing, creating more opportunities to increase in-app revenue from loyal users. The total time spent in app per user over a 24 hour period grew in 2021. Day 1 total time in app rose from 50.3 minutes to 53.3 minutes, day 3 from 44.9 to 47.2, day 7 from 43.3 to 45.5, day 14 from 41.7 to 44.2, and day 30 from 41.1 to 43.0.

Time spent in app trends
Source: Adjust's Mobile App Trends 2022

Retargeting campaigns keep these dedicated users engaged and playing regularly through personalized ad content and can incentivize paying players to keep spending more, and more often. For the gaming industry, retaining users is critical and, considering that it costs less to retarget a user than to acquire a new one, planning long-lasting retargeting campaigns is a sound investment.

In fact, according to Appsflyer data, the average revenue uplift among paying users who were exposed to a retargeting campaign was over 50% in gaming apps, more than double the industry average.

Where are the opportunities?

According to the same Appsflyer report, only 11% of gaming apps put their chips in retargeting. This is quite a low percentage in comparison to other verticals such as e-commerce, where 53% of apps already have retargeting strategies in place.

There is still a significant margin of gaming apps waiting to benefit from retargeting to stay relevant in the face of competition. Performance uplift is high for apps that put in the effort.

How does retargeting add value?

In short, a retargeting strategy will ensure gaming apps:

  • Increase user retention
  • Improve engagement levels
  • Increase in-app conversions

A well planned retargeting strategy will ensure that a user base remains active and engaged throughout the game's lifetime. Let's dive into how retargeting can support a gaming app throughout the different stages of its lifetime.

Retargeting and the game lifecycle: launch, growth, peak, and endgame

Retargeting adoption by vertical

Stage 1 - Launch

When launching a new game, user acquisition must be accompanied by strong efforts to increase engagement and remind users to come back to a game after the install. The primary goals after acquiring new users are to provide a good onboarding experience, offer educational content, and convert them into paying users. Retargeting campaigns allow gaming apps to retain users by bringing them back to the app to complete a tutorial or start playing. These approaches will make the game more relevant to players and consequently maximize user lifetime value (LTV).

A report by Adjust mentions that, for gaming, the average time between a user’s last session and uninstall is three days; therefore, the window to retain and convert is small. Waiting for seven days of inactivity to initiate retargeting is missing a big opportunity. A large proportion of users (~40%) who uninstall an app won’t come back to re-download it. Running retargeting campaigns is instrumental in preventing churn after the install and providing valuable insights about your users early on. Retargeting partners will use in-app to optimize a campaign's segmentation strategy, thus maximizing ROI and boosting retention.

« App retargeting shouldn't be a one-off tactic. It is an ongoing project that must be monitored and nurtured over time. »

Stages 2 and 3 - Game growth and peak

Retargeting campaigns add significant value during the growth and peak stages of a mobile game by re-engaging users who have yet to convert. They allow advertisers to target paying players to avoid drops in user activity and keep users engaged by showing ads that encourage them to play the entire game or make another purchase.

Retargeting also helps increase an app's DAU (daily active users) by bringing back active users in high volumes at a low cost. It offers the chance to target users that exhibit a certain behavior or value. For instance, gaming apps that increase revenue by targeting a specific portion of their DAU can build a retargeting strategy that consistently re-engages these big spenders early in their lifetime.

At this growth stage, the focus is not only about scaling unique user numbers but, most importantly, to re-engage regular players and deepen their experience with the game before they lose interest. Retargeting assists in reaching these users whenever you want to inform them of any novelty and game areas they have not yet explored.

Identifying users that have completed certain levels or made their first in-app purchase makes it easier to target these specific segments with a different and more catered message. So, for example, users who have just completed a transaction would see an ad with a special offer for future purchases. At the same time, users who have completed a certain level will see an ad that references aspects of that level (e.g., setting, character, or prize to be redeemed) and incentivizes them to continue.

Stage 4 - Established games

For mature titles, retargeting can bring churned users back to the game. Once apps reach their peak in terms of reach and installs, it becomes increasingly challenging to reduce user churn, and the focus shifts from growth to maintenance and efficiency. Informing users efficiently, and at scale, about product updates is key to extending LTV.

At this lifecycle stage, marketers will have gathered a decent-sized chunk of data that will provide deeper insights into the entire user base and its behaviors.

Established games still have to put effort into their product in terms of improving the game and introducing new mechanics or levels, for example. Retargeting can then help reach users and encourage them to try new updates. It's also crucial to identify "whales", your most high-value user, and retarget them. These users make up a loyal user base and their interactions keep the game alive and profitable.

Recap

Retargeting remains one of the biggest missed opportunities for gaming apps as the industry is yet to fully adopt these strategies. Considering that retargeting is shown to be a more affordable strategy in the marketing arsenal than UA, there is an excellent opportunity for gaming apps that are ready to invest and implement retargeting strategies.

App retargeting shouldn't be a one-off tactic. It is an ongoing project that must be monitored and nurtured over time. The most successful campaigns are those that are continually evolving as a response to insights from performance data. Measuring incremental growth and knowing the real value of retargeting is now a straightforward process with Remerge. Measuring uplift is done transparently based on accessible raw data to give marketers maximum insights and to optimize their investments further.

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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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