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App Talk by Remerge in Seoul 2025: Where Trends Meet Tomorrow

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App Talk by Remerge in Seoul 2025: Where Trends Meet Tomorrow

Remerge returned to Seoul in 2025 with the latest edition of its App Talk series, a strategic event designed to bring together leading voices in app marketing to explore emerging trends and share actionable insights.

Held on September 18 under a crisp autumn sky, App Talk by Remerge in Seoul 2025 welcomed speakers from top global and local companies including AppsFlyer, Olive Young, Aleph, CJ OliveNetworks, CJ CheilJedang, SK Incross, and MADUP. Each speaker offered a unique perspective on the evolving landscape of mobile marketing.

The event featured seven sessions covering the present and future of app marketing, with topics ranging from privacy-first strategies to AI-driven brand innovation. Key takeaways were:

  • Remerge's vision for app marketing in a privacy-first world
  • AppsFlyer's global data analysis on e-commerce app marketing
  • Olive Young's private brand strategy and global expansion
  • Pinterest's role as a visual discovery engine for mobile commerce
  • The evolution of eWOM (Electronic Word of Mouth) and the rise of the X platform
  • CJ CheilJedang's smart use of AI in brand and consumer engagement
  • A roundtable discussion with top media planners from leading agencies

Each session was built around hands-on strategies and case studies, offering practical insights that brands could apply immediately.

Opening session
A video message from Remerge CEO, Pan Katsukis

Pan Katsukis, CEO and Co-founder of Remerge, opened the event with a video message. By leveraging an AI dubbing tool, this introductory message captured the tonal nuances of Korean speech, demonstrating both technical innovation and a refined approach to cross-cultural communication.

Where Is Privacy Headed? Remerge's Vision for the Future of App Marketing

In the first session of App Talk by Remerge in Seoul 2025, Remerge offered a comprehensive analysis of how shifts in the privacy landscape are impacting app marketing strategies, examining the issue from both macro and micro perspectives.

On a macro level, antitrust regulations are increasingly impacting major tech companies. In addition, the rollout of Privacy Sandbox has been put on hold. On a micro level, iOS's App Tracking Transparency (ATT) opt-in rate has remained steady at around 50–60%, prompting greater adoption of probabilistic modeling and advanced targeting technologies to address the limitations of IDFA-based targeting.

As a DSP specializing in app retargeting, Remerge has responded swiftly to these shifts, emphasizing the proactive integration of new technologies, especially within the iOS ecosystem. While Android's AAID is expected to remain in place for the time being, the broader trend calls for a balance between user data protection and technological innovation.

Hide Cho presenting

"ATT opt-in rates are expected to decline over time, and probabilistic targeting that leverages signals beyond IDFA is gaining traction. Rather than worrying excessively about stricter privacy regulations, embracing new technologies can actually be an opportunity to refine and elevate your marketing strategy."
— Hide Cho, Senior Regional Director for Korea & Japan at Remerge

AppsFlyer's Global Marketing Data Analysis for E-commerce Apps

In the following session, AppsFlyer applied its extensive cross-industry experience to present an analysis of global marketing data for e-commerce apps, highlighting three key trends:

  1. Platform-Based Purchase Behavior: In most countries, Android users take an average of 1.5 to 2.5 days longer than iOS users to make their first purchase after installing an app. In Korea, where Android has a high market share, Android users tend to make their first purchase more quickly, while iOS users show faster repeat purchase behavior. Notably, the proportion of iOS users in Korea who make more than two in-app purchases is 60% higher than the global average. For Android, Japan leads with an 80% higher rate than the global average, followed by Korea and Saudi Arabia.
  2. Web-to-App Strategy: As the year-end shopping season approaches, brands are ramping up web-to-app strategies to drive early app installs and capture demand ahead of the peak.
  3. Utilizing 'Audience': Audience targeting has become a decisive factor in app success. It is evolving through multi-channel orchestration, privacy-centric approaches, and AI powered predictive modeling. According to AppsFlyer's data, 60% of Korea's top 11 e-commerce clients actively use Audience features, and that percentage climbs even higher among the top three.
Charlie Moon from AppsFlyer

"Since November and December are naturally peak seasons for e-commerce apps, it's crucial to lay the groundwork early, encouraging users to install apps in advance as part of a proactive strategy. In addition, it's essential for e-commerce apps to strategically leverage 'Audience' targeting features. Especially with the help of AI, businesses can swiftly identify actual purchasing users across various channels, which can be a significant advantage."
— Charlie Moon, Country Manager of AppsFlyer Korea

Olive Young's Private Brand Strategy: Marketing Innovation for Global Expansion

Olive Young leads Korea's beauty market with 12 private brands (PBs). As its international customer base continues to grow, global targeting has become a key priority. To meet this demand, Olive Young has adopted Remerge's solution, enabling tailored strategies for each brand and enhancing both PB-level campaigns and performance marketing.

Building on this strategic foundation, Olive Young selects specific brands to grow each quarter and integrates them into performance driven marketing efforts for more precise campaigns. On platforms like Twitter, where customers actively seek product information, Olive Young uses 'challenge' content to naturally attract high-intent shoppers. Ultimately, the brand aims for human centered marketing, grounded in a deep understanding of customer behavior and needs.

Jae-young Kang from Olive Young

"Customers often come in with a specific product in mind. So what matters more than rankings is the moment they add it to their cart after searching. The key is to target the exact channels where they explore information, clearly define the audience, and connect through viral content. That's what truly drives sales."
— Jae-young Kang, Manager at Olive Young

Pinterest: A New Growth Channel for Mobile Commerce Through Visual Discovery

Pinterest is a discovery platform that visually inspires users based on their tastes, leading to organic purchases. Unlike the traditional linear purchase journey, users form brand preferences while exploring images and content, creating a flow that naturally connects discovery to actual buying decisions. To leverage this unique behavior, Pinterest offers a variety of ad formats including Standard Pins, Standard Video, Max Video, Carousel, and Collections, helping brands deliver their messages in creative and immersive ways.

Pinterest is emerging as a strategic channel for mobile first brands, going beyond traditional social media. Its audience has expanded from teens to users in their 20s and 30s, broadening targeting opportunities. With advanced integrations like mobile deep linking and MMP connectivity, brands can now engage customers through emotional and visual appeal, moving beyond price and features to drive both awareness and sales.

Seung-jun Kang from Aleph

"Pinterest connects with over 6 million Korean consumers at the exact moment they're seeking visual inspiration. We offer brands a touchpoint before users search online or shop on e-commerce platforms, turning the 'Pinterest vibe' into commerce."
— Seung-jun Kang, Business Head - Pinterest (Korea) at Aleph

The Evolution of Digital Word-of-Mouth: Why the X Platform Is Gaining Attention

WOM (Word of Mouth) marketing has evolved into eWOM (Electronic Word of Mouth), offering scale, accessibility, and rich content. As user opinions shape buying decisions, X stands out with active trendsetters and fast content spread. In a recent survey of APAC users, X ranked highest in information sharing at 18%, proving its strong role in connecting brands and consumers.

On Platform X, where community driven information exchange is active, engagement is key. Rather than simply consuming content, users participate and respond, playing a vital role in brand amplification. Through interactive campaigns, third party ads, and scheduled notifications, brands can guide customer behavior and deliver messages organically. This environment allows for stronger connections with target audiences and enables more sophisticated marketing strategies.

Won-yeop Kim from Aleph

"X is incredibly effective at boosting engagement during the consideration stage of the marketing funnel. Its culture encourages spontaneous interaction and viral spread. The key is helping users create their own stories through retweet events and interactive content."
— Won-yeop Kim, Business Head - X (Korea) at Aleph

AI, Evolving Brands, and Smarter Consumers: How CJ CheilJedang Is Leveraging AI

As part of its digital transformation efforts, CJ CheilJedang established the DX Lab in 2023 and has actively integrated technologies such as cloud computing, data analytics, and generative AI into brand operations. This goes beyond simple tech adoption, demonstrating how AI is being used as a practical tool for innovation across workflows and organizational culture.

CJ presentation

In line with this strategy, CJ CheilJedang is developing Food 360, a platform that collects real time data from social media and reviews, and applies AI driven topic classification, sentiment analysis, and image captioning to uncover food trends and consumer insights. Designed for immediate use by marketers, the platform enables agile responses to fast changing consumer needs and supports more informed, data backed decision making.

CJ CheilJedang has also built a secure environment for using generative AI models like GPT, Claude, and Gemini through its Snap AI system. But rather than focusing solely on technology, the company emphasizes a human centered approach to AI. Guided by the belief that brand success lies in collaboration between humans and machines, and in listening to the voice of the consumer, CJ CheilJedang is evolving into a smarter, more refined brand powered by thoughtful AI integration.

Agency Roundtable: Insights from Top Media Planners

The final session of App Talk by Remerge in Seoul 2025, the Agency Roundtable, brought together industry professionals for a practical exchange of ideas on the front lines of app marketing. Led by Donghyun Kim, Director of Account Management at Remerge, the discussion featured Eunbi Lee, Team Lead at SK Incross, and Jihee Lee, Team Lead at MADUP. Their discussion provided meaningful insights into the evolving app marketing landscape, backed by practical expertise.

Panel session

In today's fast-changing digital landscape, campaign cycles are becoming shorter, while high-value user targeting and AI-driven automation are emerging as core pillars of marketing strategy. Audience-based approaches remain effective, and growing interest in short-form content and contextual advertising is diversifying how brand messages are delivered. As a result, KPIs and media mixes are being adjusted with greater flexibility, and the expansion of commerce campaign channels is prompting deeper consideration of how to measure and optimize performance. Retargeting campaigns are also evolving to become faster and more precise, with strategies increasingly powered by real-time data and predictive modeling.

Looking ahead, data-driven tools like MMM and incrementality testing are set to become core to marketing. As boundaries between marketing disciplines continue to blur, brands must adopt outcome-driven strategies that balance performance with long-term value. This roundtable marked a strategic turning point, encouraging agencies and brands to rethink app marketing's next chapter.

"AI is such a hot topic that some even call it a revolution, but in reality, many in the field are still grappling with which AI tools to use and how to use them effectively. We're still at a stage where there are more questions than answers. Going forward, planners will need to focus on two key areas: boosting productivity and adding value."
— Jihee Lee, Team Lead at MADUP

Event closing

More than just a forum for information exchange, App Talk by Remerge in Seoul 2025 established itself as a strategic event for shaping the future of app marketing. This year's discussion provided actionable insights for industry professionals and offered brands the inspiration and direction they need to stay agile in a rapidly changing landscape. By clearly outlining the path forward for brand strategy in the digital age, it has set the stage for even more exciting transformations to come.

Event photos
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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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