APP ADVERTISING (MOBILE)

App advertising, also known as mobile advertising, refers to the practice of promoting products, services, or brands through advertisements displayed on mobile devices such as smartphones and tablets. This specialized form of digital marketing encompasses all mobile formats and platforms, targeting users within mobile applications, mobile web browsers, and other mobile-specific environments. Mobile advertising leverages the unique capabilities of mobile devices—including location awareness, touch interfaces, and personal usage patterns—to deliver targeted, engaging, and measurable advertising experiences.

Historical Development

Mobile advertising has evolved significantly alongside mobile technology:

• 2000-2005: Early mobile ads appear as SMS text messages and basic WAP banner ads
• 2007-2008: Introduction of the iPhone and Android platforms creates new advertising opportunities
• 2009-2012: In-app advertising emerges as app ecosystems develop
• 2013-2015: Programmatic mobile advertising gains traction, enabling automated buying and selling
• 2016-2018: Video becomes a dominant mobile ad format; native advertising gains popularity
• 2019-2021: Privacy regulations and platform changes (IDFA restrictions) transform targeting approaches
• 2022-Present: Advanced creative formats, contextual targeting, and AI-driven optimization become standard

Mobile Ad Formats and Specifications

Banner Ads

• Description: Rectangular graphic displays that appear at the top or bottom of the screen
• Standard Sizes:
  • 320×50 (Mobile Banner)
  • 300×250 (Medium Rectangle)
  • 728×90 (Leaderboard, primarily for tablets)
  • 320×100 (Large Mobile Banner)
• File Types: JPEG, PNG, GIF, HTML5
• File Size Limitations: Typically 50-150KB
• Performance Metrics:
  • Average CTR: 0.1-0.3%
  • Typical CPM: $0.50-$3.00
• Best Practices:
  • Simple, clear messaging
  • High contrast for visibility
  • Strong call-to-action
  • Responsive design for different screen sizes

Interstitial Ads

• Description: Full-screen ads that cover the interface at natural transition points
• Specifications:
  • Dimensions: Typically designed to cover the entire screen (varies by device)
  • Portrait and landscape orientations required
  • Close button required (typically after 5 seconds)
• File Types: JPEG, PNG, GIF, HTML5, Video
• File Size Limitations: 100-200KB for static; 1-2MB for rich media
• Performance Metrics:
  • Average CTR: 1-3%
  • Typical CPM: $3.00-$10.00
• Implementation Considerations:
  • Natural placement at content breaks
  • Frequency capping to prevent user fatigue
  • Pre-loading to prevent display lag

Native Ads

• Description: Advertisements that match the form and function of the user experience in which they are placed
• Common Formats:
  • In-feed ads (social platforms)
  • Content recommendation widgets
  • Promoted listings (e-commerce)
  • In-article ads
• Components:
  • Headline (25-40 characters)
  • Body text (90-140 characters)
  • Brand name/logo
  • Image (aspect ratios vary by platform)
  • Call-to-action button
• Performance Metrics:
  • Average CTR: 0.8-1.5%
  • Typical CPM: $3.00-$8.00
• Best Practices:
  • Matching the visual design of surrounding content
  • Transparent disclosure as advertising
  • Relevance to surrounding content
  • Non-disruptive user experience

Rewarded Video Ads

• Description: Opt-in video advertisements that provide in-app rewards upon completion
• Specifications:
  • Duration: Typically 15-30 seconds
  • Resolution: 720p minimum, 1080p recommended
  • Orientation: Both portrait and landscape supported
• Technical Requirements:
  • VAST-compliant video assets
  • End card (static or interactive)
  • Skip option (optional, typically after 5 seconds)
• Performance Metrics:
  • Completion Rate: 80-95%
  • Average CTR: 3-5%
  • Typical CPM: $10.00-$20.00
• Implementation Best Practices:
  • Clear value exchange communication
  • Strategic placement at resource-need moments
  • Appropriate reward value
  • User-initiated viewing

Playable Ads

• Description: Interactive mini-game experiences allowing users to sample gameplay before downloading
• Technical Specifications:
  • File Size: Typically 2-5MB
  • Duration: 15-30 seconds of gameplay
  • Technologies: HTML5, WebGL, Unity Web
• Components:
  • Tutorial element
  • Core gameplay mechanic
  • End card with download CTA
• Performance Metrics:
  • Engagement Rate: 3-7%
  • Conversion Rate: 2-4x higher than static formats
  • Typical CPM: $10.00-$25.00
• Best Practices:
  • Simplified version of actual gameplay
  • Clear instructions
  • Engaging first few seconds
  • Smooth performance optimization

App Open Ads

• Description: Ads displayed when users open an app
• Specifications:
  • Shown during loading screen
  • Duration: 3-5 seconds
  • Full-screen format
• Performance Metrics:
  • Viewability: 90-100%
  • Typical CPM: $3.00-$8.00
• Implementation Considerations:
  • Minimal impact on app load time
  • Non-intrusive user experience
  • Frequency capping

Audio Ads

• Description: Audio-only advertisements delivered through music streaming, podcasts, and audio content apps
• Specifications:
  • Duration: 15-30 seconds
  • Audio Quality: 128-256kbps
  • Companion Display Elements (optional)
• Performance Metrics:
  • Completion Rate: 70-90%
  • Typical CPM: $8.00-$15.00
• Best Practices:
  • Clear, concise audio messaging
  • Brand mention in first 3 seconds
  • Contextual relevance to audio content
  • Call-to-action with memorable URL or action

Platform-Specific Considerations

iOS Advertising

• Ad Framework: Apple’s SKAdNetwork for attribution post-IDFA restrictions
• Privacy Features:
  • App Tracking Transparency (ATT) framework
  • Privacy-preserving ad measurement
  • Limited IDFA availability (explicit user opt-in required)
• Ad Formats:
  • Apple Search Ads
  • Third-party ad networks integration
  • StoreKit-rendered ads
• Implementation Requirements:
  • SKAdNetwork integration for conversion tracking
  • Privacy manifest for tracking transparency
  • App Store guidelines compliance
• Targeting Capabilities:
  • First-party data utilization
  • Contextual targeting
  • On-device processing for personalization
• Performance Benchmarks:
  • ATT Opt-in Rates: 25-40%
  • iOS CPMs: Typically 30-50% higher than Android

Android Advertising

• Ad Framework: Google’s Android Advertising ID (AAID)
• Privacy Features:
  • User ability to reset or delete AAID
  • Google Play data safety section requirements
  • Progressive privacy controls
• Ad Formats:
  • Google Ads integration
  • AdMob implementation
  • Third-party SDK support
• Implementation Requirements:
  • Google Play policy compliance
  • Appropriate permission declarations
  • Ad ID usage disclosure
• Targeting Capabilities:
  • Audience segmentation
  • Behavioral targeting
  • Geographic positioning
• Performance Benchmarks:
  • Generally higher install rates than iOS
  • Lower CPMs but often better ROI

Cross-Platform Strategies

• Unified Measurement: Implementing consistent attribution across platforms
• Creative Adaptation: Optimizing assets for platform-specific requirements
• Audience Segmentation: Developing platform-specific targeting strategies
• Budget Allocation: Balancing investment based on platform performance
• Testing Framework: Platform-comparative A/B testing methodology

Targeting Capabilities

Demographic Targeting

• Available Parameters:
  • Age ranges
  • Gender
  • Income brackets
  • Education level
  • Language preferences
• Data Sources:
  • Self-reported user information
  • Inferred demographics from behavior
  • Third-party data providers (where permitted)
• Implementation Approaches:
  • Platform-provided demographic segments
  • Custom audience creation
  • Lookalike modeling

Behavioral Targeting

• Trackable Behaviors:
  • App usage patterns
  • In-app purchase history
  • Content preferences
  • Engagement frequency
  • Session duration
• Methodology:
  • Event-based segmentation
  • Recency, frequency, monetary (RFM) analysis
  • Sequential pattern identification
• Privacy Considerations:
  • Consent requirements
  • Data minimization practices
  • Aggregated data approaches

Contextual Targeting

• Targeting Parameters:
  • App category
  • Content topic
  • User activity
  • Time of day
  • Weather conditions
  • Surrounding content sentiment
• Implementation Methods:
  • Keyword targeting
  • Category targeting
  • Semantic analysis
  • Dynamic content matching
• Benefits:
  • Privacy-friendly approach
  • Less reliance on user identifiers
  • Often higher relevance and engagement

Location-Based Targeting

• Capabilities:
  • Geo-fencing (targeting specific locations)
  • Proximity marketing (to physical stores/locations)
  • Regional targeting
  • Location history targeting (where permitted)
• Technical Implementation:
  • GPS integration
  • Beacon technology
  • WiFi triangulation
  • IP-based geolocation
• Use Cases:
  • Retail foot traffic driving
  • Event-based marketing
  • Tourism and hospitality
  • Local service providers

Advanced Targeting Technologies

• Artificial Intelligence:
  • Predictive behavioral modeling
  • Automated creative optimization
  • Dynamic user valuation
• Machine Learning Applications:
  • Conversion probability prediction
  • Optimal frequency determination
  • Audience expansion algorithms
• Contextual Intelligence:
  • Natural language processing
  • Image recognition for content matching
  • Sentiment analysis

Measurement and Analytics

Key Performance Indicators

Awareness and Exposure Metrics

• Impressions: Number of ad displays
• Reach: Unique users exposed to the ad
• Viewability Rate: Percentage of impressions where at least 50% of the ad was in view for at least 1 second
• Cost Per Mille (CPM): Cost per thousand impressions

Engagement Metrics

• Click-Through Rate (CTR): Percentage of impressions resulting in clicks
• Engagement Rate: Interactions with rich media or playable ads
• Video Completion Rate: Percentage of video ads viewed to completion
• Average Session Duration: Time spent engaging with ad content

Conversion Metrics

• Cost Per Install (CPI): Cost to generate one app installation
• Cost Per Action (CPA): Cost to generate a specific in-app action
• Install Rate: Percentage of clicks resulting in installations
• Return On Ad Spend (ROAS): Revenue generated relative to advertising costs

Attribution Methodologies

Deterministic Attribution

• Click-Through Attribution: Tracking users who click on ads and install
• View-Through Attribution: Tracking users who view ads without clicking before installing
• Impression-Level Attribution: Tracking based on ad exposure
• Implementation Methods:
  • Device IDs (where available)
  • Fingerprinting (with limitations)
  • Install referrers

Probabilistic Attribution

• Methodology: Statistical modeling to attribute conversions without direct tracking
• Data Points Used:
  • IP address
  • Device type
  • Operating system
  • Time patterns
• Accuracy Range: 80-95% depending on implementation
• Privacy Advantages: Reduced reliance on individual identifiers

Platform-Specific Attribution

• iOS: SKAdNetwork conversion values and postbacks
• Android: Google Play Install Referrer
• Web-to-App: Deferred deep linking

Analytics Implementation

Event Tracking Framework

• Key Events to Track:
  • Ad impressions
  • Ad clicks
  • App opens
  • Tutorial completion
  • Registration
  • In-app purchases
  • Level completion
  • Subscription activation
• Technical Implementation:
  • Server-side vs. client-side tracking
  • Event naming conventions
  • Parameter standardization
  • Data validation processes

Reporting Dashboards

• Real-Time Monitoring: Live performance tracking
• Cohort Analysis: Performance by user acquisition groups
• Campaign Comparison: Side-by-side performance evaluation
• ROAS Projections: Predictive return calculations
• Implementation Options:
  • Self-service platforms
  • API integrations
  • Custom BI solutions
  • Automated reporting

Advertising Networks and Platforms

Major Mobile Ad Networks

• Google Ads/AdMob: Google’s comprehensive mobile advertising platform
• Meta Audience Network: Facebook’s extension of its advertising platform to third-party apps
• AppLovin: Specialized in mobile app and gaming advertising
• ironSource: Focus on app monetization and user acquisition
• TikTok for Business: Rising platform leveraging TikTok’s engaged audience
• Apple Search Ads: Promotional placements within the App Store

DSPs (Demand-Side Platforms)

• The Trade Desk: Enterprise-level programmatic platform
• DV360 (Display & Video 360): Google’s integrated DSP solution
• Liftoff: Mobile-first DSP specializing in app marketing
• Moloco: Machine learning-powered mobile advertising platform
• Jampp: Specializing in programmatic user acquisition and retargeting

Ad Mediation Platforms

• Definition: Technology that manages multiple ad networks to optimize fill rates and revenue
• Key Players:
  • AppLovin MAX
  • Google Ad Manager
  • ironSource Mediation
  • MoPub (acquired by AppLovin)
• Benefits:
  • Increased fill rates
  • Yield optimization
  • Simplified management
  • Unified reporting

Self-Serve vs. Managed Service

• Self-Serve Platforms:
  • Advertiser controls campaign directly
  • Lower minimum spends
  • Greater transparency
  • Higher learning curve
• Managed Service:
  • Network/agency handles optimization
  • Access to premium inventory
  • Expert campaign management
  • Typically higher minimum spends
• Hybrid Approaches:
  • Managed onboarding with transition to self-serve
  • Self-serve with strategic consulting
  • Performance-based management fees

Campaign Strategy and Optimization

Campaign Structure Best Practices

• Segmentation Approach:
  • Geographic targeting layers
  • Device and OS segmentation
  • User intent grouping
  • Creative theme clusters
• Budget Allocation:
  • Testing budgets vs. scaling budgets
  • Platform-specific investment
  • Performance-based reallocation
  • Dayparting considerations
• Creative Rotation:
  • Frequency controls
  • Performance-based weighting
  • Creative fatigue management
  • Automated optimization rules

Creative Optimization

• A/B Testing Framework:
  • Variable isolation methodology
  • Statistical significance thresholds
  • Test duration calculation
  • Implementation workflow
• Creative Elements to Test:
  • Visual styles and themes
  • Copy variations and messaging
  • Call-to-action phrasing and design
  • User incentives and offers
• Dynamic Creative Optimization (DCO):
  • Automated creative assembly
  • Personalized element selection
  • Performance-based adaptation
  • Machine learning implementation

Bidding Strategies

• Automated Bidding:
  • Target CPA (Cost Per Action)
  • Target ROAS (Return On Ad Spend)
  • Maximize Conversions
  • Value-based bidding
• Manual Bidding:
  • Bid adjustment methodology
  • Dayparting bid modifications
  • Audience segment bid multipliers
  • Competitive analysis-based bidding
• Hybrid Approaches:
  • Semi-automated bidding with manual overrides
  • Segmented automation by campaign maturity
  • Performance threshold-based management transitions

User Acquisition vs. Retargeting

• User Acquisition Focus:
  • Ideal audience definition
  • Install optimization
  • New user experience alignment
  • Cost Per First Action (CPFA) measurement
• Retargeting Strategy:
  • User segmentation by behavior
  • Lapsed user reactivation
  • Cross-promotion techniques
  • Incrementality measurement
• Budget Balance:
  • New user economics modeling
  • Retention-based budget allocation
  • Lifetime value projections
  • Blended CAC calculation

Privacy and Regulatory Considerations

Major Regulations

GDPR (General Data Protection Regulation)

• Territorial Scope: European Union and EEA
• Key Requirements:
  • Explicit consent for personal data processing
  • Data minimization principles
  • Right to access and erasure
  • Data breach notification
• Mobile Advertising Impact:
  • Consent management implementation
  • Data retention limitations
  • Third-party data restrictions
  • Privacy policy requirements

CCPA/CPRA (California Consumer Privacy Act/California Privacy Rights Act)

• Territorial Scope: California residents
• Key Requirements:
  • Right to know what personal information is collected
  • Right to delete personal information
  • Right to opt-out of data sales
  • Right to non-discrimination for exercising rights
• Mobile Advertising Impact:
  • “Do Not Sell My Personal Information” functionality
  • Privacy notice requirements
  • Data inventory and mapping
  • Service provider agreements

COPPA (Children’s Online Privacy Protection Act)

• Territorial Scope: United States, applies to children under 13
• Key Requirements:
  • Parental consent for data collection
  • Limited permitted data uses
  • Strict privacy policy requirements
  • Data security and retention restrictions
• Mobile Advertising Impact:
  • Age-gating implementation
  • Restricted behavioral advertising
  • Limited data collection
  • Alternative targeting approaches

Platform Privacy Changes

Apple’s Privacy Framework

• App Tracking Transparency (ATT):
  • Explicit user permission requirement
  • Limited IDFA availability
  • Implementation requirements
  • Consent language restrictions
• SKAdNetwork:
  • Privacy-preserving attribution
  • Conversion value framework
  • Postback mechanisms
  • Attribution limitations
• Private Click Measurement:
  • Web-to-app attribution
  • Limited data parameters
  • Delayed reporting

Google’s Privacy Sandbox

• Privacy Sandbox for Android:
  • AAID limitations and alternatives
  • Topics API for interest-based advertising
  • FLEDGE for remarketing
  • Attribution Reporting API
• Implementation Timeline:
  • Phase-out schedule
  • Testing windows
  • Migration guidelines

Consent Management

• Consent Management Platforms (CMPs):
  • IAB TCF 2.0 compliance
  • Cross-platform consent storage
  • Preference management
  • Consent logging and documentation
• Implementation Best Practices:
  • User-friendly consent interfaces
  • Granular consent options
  • Preference centers
  • Consent refresh mechanisms
• Measurement Impact:
  • Consent-segmented reporting
  • Modeling for non-consented users
  • Alternative measurement approaches

Privacy-Centric Advertising Approaches

• Contextual Targeting Revival:
  • Content categorization
  • Sentiment analysis
  • User intent signals
  • Contextual optimization
• Aggregated Measurement:
  • Privacy-preserving analytics
  • Differential privacy implementation
  • Cohort-based analysis
  • Statistical modeling
• First-Party Data Strategies:
  • Customer data platforms
  • Zero-party data collection
  • Authentication benefits
  • Value exchange for information

Case Studies and Examples

User Acquisition Campaign: Mobile Gaming

Campaign Objective: Achieve cost-effective user acquisition for a casual mobile game

Strategy Implemented:

• Creative Approach: Developed playable ads showcasing core gameplay
• Targeting Strategy: Focused on lookalike audiences based on high-value players
• Platform Mix: Split budget between Meta, Google App Campaigns, and TikTok
• Optimization Method: Automated bidding toward tutorial completion events

Results:

• 42% lower cost per install compared to industry benchmarks
• 3.5x higher day 7 retention compared to other acquisition channels
• 28% higher ROAS after 30 days
• Successfully scaled from $5K to $50K daily spend while maintaining performance

Key Learnings:

• Playable ads outperformed video assets by 35% for retention metrics
• Platform performance varied significantly by region
• Post-install event optimization drove better quality users than install optimization
• Creative refresh every 2-3 weeks was critical for preventing ad fatigue

E-commerce App Retargeting Campaign

Campaign Objective: Re-engage users who abandoned shopping carts

Strategy Implemented:

• Segmentation: Created three user segments based on cart value and browsing history
• Creative Strategy: Dynamic product ads featuring abandoned items with tiered discounts
• Channel Approach: Coordinated mobile ads with push notifications and email
• Measurement Framework: Incrementality testing with holdout groups

Results:

• 23% incremental increase in purchase completion
• 15% higher average order value from retargeted users
• 4.2x ROAS across all retargeting segments
• 8% reduction in overall customer acquisition costs through improved conversion

Key Learnings:

• Time-limited offers showed 30% higher conversion than open-ended promotions
• Coordinated multi-channel approach performed 40% better than single-channel retargeting
• High-value cart abandoners responded better to free shipping than percentage discounts
• 72-hour retargeting window proved most effective for conversion

Subscription App User Acquisition

Campaign Objective: Acquire trial users with high conversion potential to paid subscriptions

Strategy Implemented:

• Creative Testing: A/B tested 30+ creative concepts focusing on different value propositions
• Advanced Targeting: Utilized similar app usage and purchase behavior targeting
• Bidding Strategy: Value-based bidding optimizing toward predicted LTV
• Platform Focus: Apple Search Ads and Google UAC as primary channels

Results:

• Reduced cost per trial start by 35%
• Increased trial-to-paid conversion rate by 24%
• Achieved 180-day ROAS of 3.2x
• Scaled to 50,000 new trial users per month

Key Learnings:

• Creatives highlighting specific features outperformed general brand messaging
• iOS campaigns delivered higher quality users despite 40% higher CPIs
• Optimizing toward 7-day usage patterns better predicted subscription conversion than immediate actions
• Contextual targeting performed within 15% of identifier-based targeting post-ATT

Comparative Analysis with Other Advertising Channels

Mobile vs. Desktop Web Advertising

Factor	Mobile Advertising	Desktop Web Advertising
User Attention	Shorter, more frequent sessions	Typically longer engagement periods
Ad Formats	Mobile-specific (interstitial, rewarded)	Larger format display ads, more text
Targeting Capabilities	Location, app usage, device data	Cookies, browsing history, larger screens
User Intent	Often task-focused, immediate needs	Research-oriented, comparison shopping
Conversion Path	Generally shorter, more immediate	Often multi-session consideration
Privacy Challenges	App-specific permissions, IDFA/AAID	Cookie deprecation, browser privacy
Measurement	In-app events, installations	Site engagement, longer conversion paths
Typical CPM Range	$1-20 depending on format	$0.50-15 depending on placement

Mobile In-App vs. Mobile Web

Factor	In-App Advertising	Mobile Web Advertising
Engagement Level	Higher average session time	Typically lower engagement duration
Data Availability	Rich in-app behavior data	More limited without cookies
Ad Experience	Native to app environment	Sometimes disruptive
Viewability	Generally higher viewability rates	More variable viewability
User Targeting	App usage behavior, interests	Browser-based behavior
Ad Blocking Impact	Limited (except VPN-based)	Higher vulnerability to blockers
Measurability	Direct attribution to in-app events	Often requires cross-environment tracking
Implementation Control	Greater control over placement	Subject to browser rendering

Mobile vs. Connected TV (CTV)

Factor	Mobile Advertising	Connected TV Advertising
Viewing Context	Personal, often on-the-go	Shared, lean-back experience
Ad Formats	Diverse formats, smaller screen	Primarily video, large screen impact
Interactivity	High (taps, swipes, etc.)	Limited (basic remote input)
Targeting Precision	Individual-level targeting	Often household-level targeting
Attribution Challenges	Post-IDFA complexity	Cross-device measurement
CPM Range	$1-20 depending on format	$20-50 for most placements
Engagement Metrics	Clicks, installs, app actions	Completion rates, brand lift
Audience Reach	Extremely high penetration	Growing but more limited reach

Future Trends and Innovations

Emerging Technology Impact

Augmented Reality Advertising

• Format Evolution: AR try-on experiences, location-based AR activations
• Implementation Methods: WebAR, native SDK integration, social AR platforms
• Measurement Frameworks: Engagement depth, interaction quality metrics
• Brand Applications: Virtual product demonstrations, immersive storytelling
• Current Limitations: Technical requirements, development complexity

Advanced AI Applications

• Creative Generation: AI-powered ad creative production and testing
• Predictive Analytics: Conversion likelihood scoring before campaign launch
• Dynamic Optimization: Real-time campaign adjustment based on performance patterns
• Audience Discovery: Identifying unexpected high-performing segments
• Natural Language Processing: Contextual understanding beyond keywords

Blockchain in Mobile Advertising

• Ad Fraud Prevention: Verified impression and click authentication
• Transparent Supply Chain: Visible transaction tracking throughout the ecosystem
• Token-Based Incentives: Rewarding users for attention and data sharing
• Identity Solutions: Decentralized identity management for privacy compliance
• Current Limitations: Scalability challenges, adoption barriers

Privacy-First Future

Cookieless Targeting Evolution

• Probabilistic Models: Advanced modeling with limited identifiers
• Cohort-Based Approaches: Group-level targeting without individual identification
• On-Device Processing: Moving personalization logic to user devices
• Federated Learning: Machine learning without centralizing user data
• Permission-Based Marketing: Value exchange for explicit data sharing

Authenticated Advertising

• Identity Solutions: Industry collaboration on privacy-compliant identification
• Single Sign-On Integration: Leveraging authentication across properties
• Value Exchange Models: Providing benefits for authenticated experiences
• First-Party Data Activation: Strategies for using owned customer data
• Implementation Challenges: User adoption, regulatory compliance

Format Innovation

Interactive Video Evolution

• Shoppable Video: Direct purchase capabilities within video ads
• Choose-Your-Own-Adventure: Branching narrative experiences
• Interactive End Cards: Post-video engagement opportunities
• Mini-Games Within Video: Gamified elements in video content
• Performance Metrics: Interaction rate, path analysis, conversion attribution

Voice-Activated Advertising

• Smart Speaker Integration: Advertising through voice assistant platforms
• Voice-Commerce Capabilities: Direct purchase through voice commands
• Audio Branding Elements: Sonic identities for brand recognition
• Measurement Challenges: Attribution in audio-only environments
• Privacy Considerations: Voice data collection and processing regulations

5G-Enabled Formats

• High-Definition Video: Premium video experiences without buffering
• Complex Interactive Elements: Reduced latency for responsive interactions
• Cloud Gaming Ads: Streaming game experiences as advertisements
• Volumetric Content: 3D and holographic ad experiences
• Edge Computing Applications: Distributed processing for ad experiences

Related Terms and Concepts

• User Acquisition: The process of gaining new users for mobile applications
• App Store Optimization (ASO): Techniques to improve app visibility in app stores
• Attribution: Determining which marketing efforts lead to installations or actions
• Click-Through Rate (CTR): Percentage of impressions that result in clicks
• Cost Per Install (CPI): Amount paid to acquire one app installation
• Demand-Side Platform (DSP): Technology used to buy digital advertising inventory
• IDFA (Identifier for Advertisers): Apple’s device identifier for ad targeting
• Impressions: Number of times an advertisement is displayed
• Lifetime Value (LTV): Total revenue a user generates throughout their relationship with an app
• Programmatic Advertising: Automated buying and selling of digital ad inventory
• Retargeting: Targeting users who have previously interacted with an app
• SDK (Software Development Kit): Tools that integrate advertising functionality into apps
• Supply-Side Platform (SSP): Technology that enables publishers to sell ad inventory
• Viewability: Measurement of whether ads had the opportunity to be seen by users