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How to build app retargeting campaigns during Ramadan

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Blog
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How to build app retargeting campaigns during Ramadan

Maria Abdull Latif, Regional Manager, INSEA, at Remerge, held a keynote session at the MMA Global Indonesia event to share her thoughts on app marketing strategies, specifically for in-app retargeting during golden seasonal opportunities like Ramadan.

You can see the entire session video here.

This blog post covers the highlights from Maria’s keynote presentation.

What is seasonality and why is it important for app marketers to consider?

We love to watch the leaves change colors as much as the next person, but when talking about seasonality in marketing, the concept takes on a different, more complex role.

Consumer decisions are directly impacted by seasonality as they often follow specific behavior patterns that are closely tied to the consumer’s way of life, the things they enjoy, and the holidays they celebrate. As a result, seasonal opportunities help mobile app marketers discern the “oh yeah’s” from the “uh-oh’s” in their app growth strategies.

Seasonality matters for app marketers because it directly impacts app growth, in-app traffic and activity, audience engagement, and brand awareness. For example, audiences await specific holidays, expecting special deals, sales, or events. Think of Mother’s Day, where everyone is looking for a florist and deals bloom left and right to help users buy flowers.

Marketing strategies during Ramadan

Many think of Ramadan as a holiday where Muslims fast from sunrise to sunset as part of their faith. While partially true, Ramadan is also an opportunity to gather with family and friends for Iftar and break the fast, join in on Eidul Fitri celebrations, build a sense of empathy with those less fortunate, and embrace the spiritual aspect of the month with mindfulness, reflection, a genuine sense of community, and focus.

From a marketing standpoint, Ramadan is a seasonal opportunity to feast in what’s typically an online shopping galore in the INSEA region. As app marketers, we encourage you to dig deeper into your audience’s local culture, practices, and sentiments as they will play a key role in your marketing strategies.

« Retargeting helps solve the challenges app marketers face when deploying UA campaigns. »
Maria Abdull Latif, Regional Manager, INSEA, Remerge

The importance of brand equity and hyper-local strategies

You can build brand equity during Ramadan with hyper-local strategies. Hyper-local strategies help you communicate your understanding of your consumers and stay relevant with your target audience by using personalized ads.

For example, Indomie, the Indonesian brand of instant noodles launched a Ramadan-based ad campaign a few years ago with two variations of the same ad. One ad didn’t show noodles during the hours when people were fasting, while the other showed noodles during the hours when people broke fast. The brand also used hashtags to empathize with consumers about their effort during Ramadan, making consumers feel understood and more likely to break their fast with Indomie.

App and mobile user behavior during Ramadan

First-party data provides mobile app marketers with a wealth of information about how shifts in daily routines influence mobile interactions.

Let’s see this exemplified by several of our food delivery clients.

Looking at the above graph of in-app events from 2021, we can see when Ramadan was observed as the overnight dip in in-app activity, whether browsing, adding items to the cart, or completing a purchase, points to when users were fasting.

Let's take a look at shopping apps. We evaluated the activity of unique users inside our client's app, one of the largest shopping apps in the South East Asia region.

In the graph above, the purple highlight represents Ramadan 2021, where we observed:

  • In week one, there was more or less the same number of unique users before Ramadan.
  • In week two, there was a declining trend in unique users.
  • In week three, there was a peak of up to 200K more unique users than before Ramadan started.
  • In week four, there was a steady decline in unique users.

These user insights help build the canvas to work with when it comes to strategizing and executing great campaigns that are relevant and loved by your audience.

Why do in-app performance marketing strategies matter?

For most marketers, tackling app growth, acquiring new users, and getting new installs are the be-all and end-all. However, app growth goes beyond new user acquisition (UA).

Retargeting, which is the heart of what we do at Remerge, is a powerful way for app marketers to improve user lifetime value (LTV) by keeping audiences engaged with highly relevant and personalized mobile app ads.

Retargeting is part of a holistic approach, but unfortunately, some marketers tend to undermine it. Let’s dive into the value of retargeting and how it can be coupled with your UA strategy.

How can retargeting succeed alongside a UA strategy?

User engagement via app verticals

Based on a report by Appsflyer, the uninstall rate between paid installs (users acquired through paid media) versus organic installs is relatively high. Across different verticals, we see an average of about 35% to 40% uninstall rates within 30 days of the install, with gaming and social apps being the highest and food and drink being the lowest.

Every user uninstall is related to the work and investment made when acquiring new users - therefore, it’s vital to think about retention and monetization after installs. Based on the same Appsflyer report, retargeting generates more revenue events in the first 30 days after the install than UA alone. It’s also significantly cheaper to re-engage a user with retargeting strategies versus acquiring new users. And we’re talking 5 to 10 times cheaper, which more than justifies the marketing need to use retargeting app strategies.

Developing a holistic approach

In combination with UA efforts, retargeting helps solve the challenges app marketers face when deploying UA campaigns, including uninstalls, inactive users, or no purchases/no conversions.

  • For uninstalls, retargeting helps understand uninstall rates and reduces losses from UA budgets.
  • For inactive users, retargeting helps reactivate existing users who stopped engaging with the app.
  • For no purchase/no conversion scenarios, retargeting helps drive first or repeat purchases and encourage user loyalty.

At Remerge, by marrying all of these retargeting strategies, we can help you have a full-funnel approach. Let’s see it up close.

  1. A user downloads your app.
  2. The user browses your app without completing an in-app purchase.
  3. The user leaves your app or uninstalls it and opens another app.
  4. We find the user through the app they are using.
  5. The user sees your ad with a personalized message.
  6. The user taps on the ad, is led back to where they left off and completes a specific action. This action can be whatever matches your goals, including re-installing the app, opening the app, completing a registration, or completing a purchase.
« A great ad experience is proven to reactivate lapsed users and drive re-installs with brand recall »
Maria Abdull Latif, Regional Manager, INSEA, Remerge

How can app marketers take advantage of retargeting during Ramadan?

Now that we’ve covered Ramadan sentiments, mobile user behavior, and how to leverage retargeting strategies for a holistic approach in your media buying strategy, here are some tips to bring this all together when creating an ad experience that’s relevant and connects you with your audience in a meaningful way.

Incorporate brand culture into your strategy

Many believe, mistakenly, that performance marketing is for conversions only and not for brand awareness. We often see app marketers undervalue their existing user base and first-party data, even though a great ad experience is proven to reactivate lapsed users and drive re-installs with brand recall.

You should extend your powerful brand into your performance marketing channels to maximize your app efforts.

Engage with conversion in mind and optimize your campaigns

Re-engagement with meaningful brand ads that are personalized helps drive conversions. You can leverage real-time segmentation to enrich ad experiences and serve ads based on user behavior during Ramadan by including:

  • Time of day
  • Day of the week
  • Week of the month
  • Location
  • Product popularity
  • Interest

For example, in a food delivery app, you can

  • Add a counter and serve ads after dawn.
  • Use a greeting to build a connection with users.
  • Suggest hassle-free options to buy a meal two hours before breaking the fast.
  • Serve visuals of food to give users an idea of what they might want to have, along with a call to action to order as soon as possible.
  • Use the feed to put information about restaurants that are still open before dawn.

In an e-commerce app, you can:

  • Give a sneak peek at new arrivals to tempt users into buying items that can help them get ready for Ramadan.
  • Based on historical data, look at when people tend to increase their purchasing habits and use that information to deploy promotional ads about a flash sale or slashes in prices.
  • Add a sense of urgency in your messaging to convey the time sensitivity of clearance events before the end of Ramadan.
  • Set up a counter to help users prepare their houses with all the necessary items for Ramadan.

Develop a creative testing plan

Gathering insights from your Ramadan campaign can improve future campaigns. Remerge supports clients with data analysis, from planning to the actual execution of the marketing campaign.

Testing is vital to understand what elements work and what can be scraped off, and there are several elements you can focus on when developing an innovative testing plan:

  • Design elements and copyrights. Test and design different graphic design elements, characters, products, animations, hashtags, taglines, CTAs, etc.
  • Ad formats. Static vs. video vs. native.
  • Personalization. Create Ramadan-specific promos, offer codes, features, in-app events, etc.

Ultimately, in combination with everything that’s been covered about dynamic segmentation of different user buckets, the goal is to define what you want to measure and learn from your tests.

To sum up

The central message from Maria’s keynote presentation is to maximize your app growth efforts via in-app retargeting to connect with your audience via relevant ads based on hyper-local strategies.

Here’s a roundup of the presentation’s key takeaways:

  • Go hyper-local and research consumer sentiments and lifestyles during Ramadan.
  • Leverage first-party data to analyze the shift in in-app behavior.
  • Increase app engagement with brand creatives.
  • Segment and personalize ads to drive conversions.
  • Employ creative A/B testing plans to gather insights for your next Ramadan campaign.
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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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