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How to re-engage newly acquired users after the holiday season

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How to re-engage newly acquired users after the holiday season

It’s the start of a new year. If you’re anything like me, your social feeds and email inboxes will have been awash with the latest facts, figures, data points, charts, and insights about the state of mobile advertising and how it fared in over the last 12 months. I’ve enjoyed catching up on all of this content from various partners and thought-leaders, and from what I have seen, it’s abundantly clear that our industry continues to thrive in the face of many uncertainties.

Ad tech consolidation, the rollout of Apple’s privacy changes, and the immense growth of app usage and revenues ensured 2021 was one of the most eventful years for mobile advertising. Mobile transactions accounted for more than $116 billion. A drop in ID users on iOS changed how marketers allocated budgets across operating systems (OS). Users spent a third of their daily waking hours on devices, and advertisers spent a staggering $295 billion on mobile ads.

A great deal happened throughout 2021: I know I’m not alone to have felt like the busy year aged me quite a bit, and no time was busier than the holiday season. As the dust settles on one of the most crucial times for app growth, how do we keep up with the momentum throughout the rest of the year?

The holiday season brings joy to app marketers

E-Commerce, quick service restaurants (QSR), and entertainment apps are often among the big winners during the holiday season.

It is predicted that global holiday e-commerce sales for 2021 will hit $910 billion (an 11% increase over 2020), with mobile shoppers spending enormous amounts during Black Friday, Cyber Monday, and the remaining seasonality period. In 2020, 58% of US consumers stated they planned to shop more online during the holiday season than they did before the pandemic.

For QSR apps, almost 60% of US consumers downloaded at least one new restaurant app in the lead-up to the holiday period. Much of the country has been dealing with a mix of cold temperatures and a new Covid variant, so it's no surprise to see huge growth for this vertical, which will most likely continue as 2022 progresses.

« One popular retargeting tactic employed by app-savvy marketers is in-app retargeting. »
Stephen Massaro, Director of Channel Alliances at Remerge

The popularity of entertainment apps is also high around Christmas and New Year. This vertical generated the most revenue from a non-gaming category on iOS and Android during this period in 2020, while the Covid-19 crisis led to an eye-watering uptake in app usage for video streaming platforms. It’s worth mentioning that revenues for video streaming apps exploded during the pandemic, as many people stayed at home amid numerous lockdowns; this market could be worth $42 billion by 2025.

That said, the holiday season is an expensive time to acquire new users: CPMs (cost per mille) are typically higher than other months in the year as advertisers compete to attract customers who are investing in gifts and activities with loved ones. Advertisers pay a premium to acquire users during this period - but how do they keep them coming back to the app in the months that follow?

App retargeting provides an opportunity to stay relevant

The goal of any retargeting campaign is to encourage users to reinstall or re-engage with an app and complete an event such as a mobile purchase. One popular retargeting tactic employed by app-savvy marketers is in-app retargeting. This remains a powerful mobile marketing strategy for both Android and iOS and can help to reduce user churn rates after the busy festive season. It offers a chance to create meaningful relationships with customers by adding value at the right time, meaning advertisers can stay relevant after all the present-buying, take-out tasting, and Christmas movie watching sessions have subsided.

Is retargeting still a viable option in the privacy-first era?

You might wonder, how can retargeting still be effective? And this is a fair question since the initial market perception following the rollout of the App Tracking Transparency (ATT) framework was that such approaches would become obsolete. However, it hasn’t panned out that way just yet. Leading apps continue to invest in retargeting, and at Remerge we are delivering some of our highest-performing engagement campaigns.

Furthermore, Apple’s privacy changes do not affect Android. We’ve observed that retargeting on this operating system has remained a profitable marketing strategy for our clients. Evidently, the overall impact on certain aspects of the industry was not as catastrophic as many anticipated.

Despite the arrival of ATT, we delivered more ad clicks and recorded a jump in re-engagements (unique app opens) for all of our retargeting campaigns combined. When looking at our November year-on-year performance, we saw a substantial increase in the number of ad clicks (+231%) and re-engagements (+221%) for our retargeting campaigns on Android, globally. During the same period for iOS, we registered 50% more ad clicks and 71% more re-engagements.

« Start building a solid segmentation strategy if you want to re-engage newly acquired users after the holidays. »
Stephen Massaro, Director of Channel Alliances at Remerge

How is iOS still attractive for app marketers running re-engagement campaigns?

The Android market has not been affected by Apple’s privacy changes. It accounts for approximately 200 billion ID-based bid requests every day, which means retargeting on this OS can still provide a very favorable return on investment (ROI).

Even with a decline in ID traffic, the available inventory for identifiable Apple users is still attractive for app marketers who want to run re-engagement campaigns on iOS following the holiday period. As it stands, we see that more than half of the inventory on iOS still has an IDFA - that’s close to 40 billion bid requests per day. App marketers are taking advantage of this opportunity to maximize their lifetime value (LTV) and increase revenues by re-engaging their high-value users.

How do I set my re-engagement campaign up for success?

Start building a solid segmentation strategy if you want to re-engage newly acquired users after the holidays. Consider splitting users by in-app events, such as install, interaction with an ad or last purchase, and timeframe (i.e., those who last used the app before the holiday period).

From here, you can create specific ads and messaging for these segments to boost your chances of sparking their interest. Here are a few quick tips from different industries on how to keep your customer visiting your channels frequently and nudge them to convert faster.

E-commerce

  • Offer limited time-deals for the months immediately after the holiday period. These can focus on upcoming events such as Valentine’s Day or Easter.
  • Upsell other items that match what your users purchased during the holiday season.
  • Entice holiday browsers or those yet to purchase with 2022 discounts for similar products they have abandoned in their carts.
  • Start building brand awareness for spring and summer product ranges - many, like me, have warmer weather on their mind, and now is the perfect time to get users back into the app.

Entertainment

  • Are there new episodes of your users’ favorite shows available from the early months of the year? Encourage subscribers to upgrade their memberships (if possible) by highlighting new content for 2022
  • Target those that did not renew their subscription or never converted from a trial in 2021. Use New Year messages to bring them back in for a new free trial.
  • Did your users start a show before Christmas or stop listening to an artist over New Year? Remind them about existing content or highlight new content in the same category.

QSR

  • Retain acquired customers by showcasing new restaurants or local options that have changed their menus for 2022.
  • Continue to take advantage of times of the day. Show ads during peaks times such as lunch and dinner.
  • So many of us have a New Year’s resolution to spend less, so encourage users to place new orders by offering the right benefits, such as a coupon code for a discount or free delivery.


You can entice customers to return with the above best practices. And this year, we are on the lookout for some industries that may take center stage as 2022 unfolds. Let’s take a quick look at what lies in store for them.

Travel

We’ll likely see a spike in travel app adoption as countries around the world ease Covid-19 restrictions in the run-up to spring and summer. In the US, travel apps recorded an 86% increase in downloads in July 2021 vs. July 2020 - a sign that this vertical could experience some serious growth in 2022 when people return to their previous level of mobility.

Health & Wellness

In January of this year alone, mobile fitness and workout apps saw 16.2 million downloads worldwide. And going back to January 2020, we saw an 80% increase in downloads year-over-year. The demand for professional and high-quality training sessions for the home soared during the pandemic, with many consumers now opting for apps over gyms. I would expect this trend to continue.

Banking

The pandemic also had a considerable impact on the finance industry: consumers were drawn to banking and payment apps as they limited personal contact with others to avoid contracting the virus. Additionally, last year’s Gamestop and AMC events highlighted just how many consumers are becoming retail investors via the many mobile investment apps within the space.

According to the most recent report on US consumers from Branch and M&C Saatchi Performance, there is no doubt that the general rise of finance apps: there was a 22% increase in downloads when comparing H1 2021 with H1 2020. Many companies are already starting to roll out new features and incentives, which could lead to a further surge in the adoption of mobile services in 2022.

Parting words as we dive into the new year

You could adopt many more potential strategies. The intention here is not to be exhaustive but rather to highlight some of the major campaign strategies you should explore. In an app ecosystem where we need to balance out the ability to map user journey so extensively with the need to be mindful of end-user privacy concerns, constant innovation is vital to ensuring our retargeting is impactful.

Retargeting has proven immensely useful in supporting apps to retain and bring customers back to experience new buying cycles. And it’s key that brands remain flexible and enthusiastic about experimenting with which festive season besides the end-of-year holiday period. For example, Valentine’s Day is just around the corner - this is an ideal time to get customers back to your app with some web-to-app campaigns, new user journeys, and advertising via your most impactful channels.

About the author

Stephen Massaro is a veteran within the mobile advertising space. He is currently Director of Channel Alliances at Remerge, where he works with agencies, tech, and supply partners to help clients grow their apps in the privacy-first era.

This article was first published by Branch and has been reposted with their permission. Branch is a leading mobile linking platform, with solutions that unify user experience and measurement across different devices, platforms, and channels. This article is a guest post by Stephen Massaro, Director of Channel Alliances at Remerge.

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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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