Affle 3i Limited · NSE:AFFLE
Affle 3i — Affle (India) — Investor Day (December 2021)
58 slides from Affle 3i's investor day presentation, Dec 13, 2021
Slide 1: Intimation to stock exchanges of Analyst/Investor Day
AIL/SE/IAM/2021-22/89 December 13, 2021 To BSE Limited National Stock Exchange of India Ltd Phiroze Jeejeebhoy Towers, Exchange Plaza, 5th Floor, Plot No. C-l, G Dalal Street, Mumbai 400 001 Block, Bandra Kurla Complex, Bandra (East), Mumbai - 400 051 Scrip Code: 542752 Symbol: AFFLE Re: Intimation
Slide 2: Affle (India) Limited Investor Day 2021
Affle (India) Limited Investor Day 2021 December 13, 2021
Slide 3: Disclaimer
Disclaimer This presentation and the accompanying slides (the “Presentation”) have been statements that are based on management’s current expectations or beliefs as well prepared by Affle (India) Limited (“Affle” or the “Company”) solely for information as a number of assumptions about the Company’s
Slide 4: Affle2.0 Consumer Platform Stack
Affle2.0 Consumer Platform Stack Ecosystem-level Transitions 7 Connected Devices I 6 Online & Offline Conversions Maximizing Consumer LTV I Conversions New User Repeat User 5 Ads into Consumer Recommendations On-Device In-App Timeline Data Science 4 Core Tech & Data Platform I Patents & Privacy mDMP
Slide 5: Affle2.0 Culture | Built to Last
15+ years Global Track record Reach & opportunity Performance driven Leading Business model In India Scalable Committed Data platforms Leadership Affle2.0 Culture I High Positive Built to Last Growth markets Cashflows Growth driven Robust Global customer base Profitability Accelerated Strategic Cons
Slide 6: Affle2.0 Culture | Entrepreneurship & Governance
Affle2.0 Culture | Entrepreneurship & Governance Key Management Team Non-Executive Board Members Anuj Khanna Sohum Kapil Mohan Bhutani Sumit Mamak Chadha Managing Director & Chief Executive Officer Chief Financial & Operations Officer Non-Executive Independent Director Chairman of the Board Anuj Kum
Slide 7: Affle2.0 Culture | Tech Innovations & Accreditation
Affle2.0 Culture | Tech Innovations & Accreditation Global Tech IP Portfolio Unified Consumer Tech Proposition Total 20 Patents with 6 granted in US and 14 other filed across jurisdictions 2.4bn1 Connected Devices Reached Award-winning Ad Fraud Detection Platform 15+ years of focused Affle’s mFaas:
Slide 8: Affle2.0 Culture | Tech & Thought Leadership
Affle2.0 Culture | Tech & Thought Leadership
Slide 9: Affle2.0 Culture | Sustainable Profitable Growth
Affle2.0 Culture | Sustainable Profitable Growth 4-Year CAGR: Revenue 45.7% I EBITDA 41.9% I PAT 54.7% Particulars in Rs. million 1,030 719 419 478 5,168 4,272 3,338 2,494 1,672 1,300 888 1,031 871 703 655 706 455 488 278 FY2018 FY2019 FY2020 FY2021 H1 FY2022 (Unaudited) Revenue from Operations EBIT
Slide 10: Affle2.0 Culture | Inclusive ESG Initiatives
Affle2.0 Culture | Inclusive ESG Initiatives Ranked amongst the leading ESG responsible companies ahead of many Indian IT/Tech Companies by ESGrisk.ai (Indian Rating Company) in its ESG Yearbook 2021 Our Guiding Values Proactive Adoption of ESG Reporting Outcomes 531 ESG Score 1 Innovation Innovatio
Slide 11: Affle2.0 Consumer Platform Stack
Affle2.0 Consumer Platform Stack Ecosystem-level Transitions 7 Connected Devices I 6 Online & Offline Conversions Maximizing Consumer LTV I Conversions New User Repeat User 5 Ads into Consumer Recommendations On-Device In-App Timeline Data Science 4 Core Tech & Data Platform I Patents & Privacy mDMP
Slide 12: Affle2.0 Strategy | Simplifying & Unifying the Ecosystem
Affle2.0 Strategy | Simplifying & Unifying the Ecosystem Advertiser Consumer Verticalization Vernacular Consumer Platform Business Converted Average CPCU1 CPCU Revenue users (mn) (INR) (INR mn) FY2021 105.3 40.8 4,294 ROI FY2020 72.3 41.0 2,965 Converted Users Notes: 1. Cost per converted user (Pric
Slide 13: Affle2.0 Strategy | Three-pronged Growth Framework
Affle2.0 Strategy| Three-pronged Growth Framework Simplify & Unify the Ecosystem Value & ROI Led Propositions Verticalized Focus to Maximise Impact 12
Slide 14: Affle2.0 Strategy | Powering Performance Driven High-ROI CPCU Model
Affle2.0 Strategy | Powering Performance Driven High-ROI CPCU Model 90.2% of Consumer Platform revenue contributed by CPCU model in H1 FY2022 and 9.8% from Non-CPCU New user conversion Existing user repeat New/existing user (online) conversion (online) conversion (offline) Use Case – Targeted new co
Slide 15: Affle2.0 Strategy | Targeting High Growth Markets and Industry Segments
Affle2.0 Strategy | Targeting High Growth Markets and Industry Segments Global business anchored in Emerging Markets Verticalized approach for leadership within fast growing (IND, SEA, LATAM & MEA) resilient industry segments Category E Category F EdTech FMCG E-commerce Fintech Entertainment Foodtec
Slide 16: Affle2.0 Strategy | Leveraging upon Strong Macros
Affle2.0 Strategy| Leveraging upon Strong Macros Fast Growing Digital Ad Market 1 Global Digital Ad Market to grow by 9% with Emerging markets like India expected to grow at 25-30% together with other emerging markets like SEA & LATAM also exceeding global trends* Growing Penetration of Connected De
Slide 17: Affle2.0 Consumer Platform Stack
Affle2.0 Consumer Platform Stack Ecosystem-level Transitions 7 Connected Devices I 6 Online & Offline Conversions Maximizing Consumer LTV I Conversions New User Repeat User 5 Vipul Kedia Chief Data & Ads into Consumer Recommendations Platforms Officer On-Device In-App Timeline Data Science 4 Core Te
Slide 18: mDMP - The Enabler of our CPCU Business
mDMP - The Enabler of our CPCU Business Usage Affinity Intent Affinity Product Affinity Who will be the Who will be the What product will next user? next shopper? they buy? 2.4Bn+ 100+ 40+ Advanced Internal Connected Pre-Defined Interest AI / ML AffleID For Devices Segments Categories Models Each De
Slide 19: Driving Scalable Growth for Our CPCU Business
Driving Scalable Growth for Our CPCU Business Converted Users – Consistent Growth over Several Quarters 18
Slide 20: mDMP in a Nutshell
mDMP in a Nutshell AUDIENCE AI/ML PROCESSING QUALITY FILTERS EXPERIENCE INSIGHT (Good Data) (Bad Data) 2 OEMs and Filtered Raw Data from Operators all Platforms Direct App Integrations Prediction of Shoppers vs. Non-Shoppers Apps via Ad Exchanges Vertical Affinity Classification Integration with Wal
Slide 21: Cutting Edge Technology Platforms to Boost ROI
Cutting Edge Technology Platforms to Boost ROI Data from Diverse • Ingestion of billions data points per day across Channels channels Advanced • 25+ checks - Deterministic & Probabilistic Traffic • Standalone + Timeseries Fraud Detection Distillation • Machine Learning Models with real time feedback
Slide 22: Sophisticated Multi-Layered Intelligence Framework
Sophisticated Multi-Layered Intelligence Framework Predictive Analysis Which products to advertise to a particular user? Classification basis Behaviour Analysis Lifetime Value AI/ML Modeling Supervised and Unsupervised Learning High / Med / Low Auto Segmentation Affinity Shoppers (Clustering / Regre
Slide 23: Sample AI & ML Driven Behavioral Models
Sample AI & ML Driven Behavioral Models Gender Prediction Attribution Lift MBA Analysis Language Affinity Models (Topic Models, word (MLlib: Random Forest) (AB testing/ RL) (Apriori Algo) embeddings) Age Prediction Fraud Detection Affluence Prediction Location Affinity (Ensemble: Isolation (Xgboost)
Slide 24: Privacy by Design and Data Security
Privacy by Design and Data Security External Frameworks Final Submissions to Auditors Privacy By Design Security By Design Internal Frameworks 23
Slide 25: Innovation-led Tech DNA
Innovation-led Tech DNA Consumer Acceptable Advertising Traffic Advertising Distillation 20 6 Patents Patents Filed Granted Vernacular Affinity Optimizations for Mobile Identification Ecosystem Multiple Vernacular Detection Engagements in Video / Audio streams 24
Slide 26: Affle2.0 Consumer Platform Stack
Affle2.0 Consumer Platform Stack Ecosystem-level Transitions 7 Connected Devices I 6 Online & Offline Conversions Maximizing Consumer LTV I Conversions New User Repeat User 5 Ads into Consumer Recommendations On-Device In-App Timeline Data Science 4 Core Tech & Data Platform I Patents & Privacy Elad
Slide 27: App Recommendation | At a Glance
App Recommendation I At a Glance End-to-end discovery solutions from the initial device setup and along the users’ daily mobile journey 514+ 18 7.2+ Million Billion Daily Smartphone Average Daily Daily App Users Interactions Recommendation Proven track record Industry leading Unique recommendation w
Slide 28: App Recommendation Timeline Technology
App ecommendation ‘ imeline’ echnology Turns behavioral data Predictions are based on the Apps are suggested based on from ads to recommendations user’s mobile daily journey predictive analytics and behavior driven AI technology Acquire new user and Patent technology that displays contextual re-enga
Slide 29: Continuous Experiences
Continuous Experiences First Experience 7:00 8:30 12:30 appnext.com SETUP PROCESS DYNAMIC PRELOAD WIDGET KEYBOARD MINUS 1 SCREEN 28
Slide 30: Folder, In-App Discovery, OEM Stores
18:00 19:30 21:00 22:30 FOLDER IN-APP DISCOVERY OEM STORES REWARDED DISCOVERY 29
Slide 31: Use Case: Powering OEM1 Ecosystem
Use Case: Powering OEM1 Ecosystem Delivering tech-powered discovery solutions to a leading OEM since 2018 Setup Wizard Keyboard Apps Minus 1 Dynamic Preloads Successfully completed the integration of our recommendation engine into leading OEM devices in India, Southeast Asia and Europe, reaching ove
Slide 32: Industry Recognitions
Industry Recognitions 1) V4 #1.Non-SRN Platform Worldwide AppsFlyer Performance Index | TOP } WY Across Multiple Categories AppsFlyer IAP Index \2) VA #2 Non-SRN Platform Southeast Asia AppsFlyer Performance Index | GOLD ] VA Gold winner , Mobile Advertising Excellence In User Acquisition Campaign M
Slide 33: Affle2.0 Consumer Platform Stack
Affle2.0 Consumer Platform Stack Ecosystem-level Transitions 7 Connected Devices I 6 Online & Offline Conversions Maximizing Consumer LTV I Conversions New User Repeat User 5 Ads into Consumer Recommendations On-Device In-App Timeline Data Science 4 Core Tech & Data Platform I Patents & Privacy mDMP
Slide 34: Q&A Session - 1
Q&A Session - 1 Participants who wish to ask questions can raise their hand and they will be taken into the Speaker Room one-by-one Once the Q&A session ends, we will resume after a 5-mins break 33
Slide 35: Affle2.0 Consumer Platform Stack
Affle2.0 Consumer Platform Stack Ecosystem-level Transitions 7 Connected Devices I 6 Online & Offline Conversions Maximizing Consumer LTV I Conversions New User Repeat User 5 Ads into Consumer Recommendations On-Device In-App Timeline Data Science Martje Abeldt 4 Chief Revenue Officer (RevX) Core Te
Slide 36: The Lifetime Value (LTV) Market Opportunity
The Lifetime Value (LTV) Market Opportunity 2020 Mobile Landscape – At a Glance Source: App Annie - State of Mobile 2021 35
Slide 37: Conquering Time-Spend to Drive LTV
Conquering Time-Spend to Drive LTV Source: App Annie - State of Mobile 2021 36
Slide 38: App Retargeting Fuels E-Commerce Revenue
App Retargeting Fuels E-Commerce Revenue Source: App Annie - State of Mobile 2021 37
Slide 39: Large Opportunity for Repeat Conversions
Large Opportunity for Repeat Conversions 38
Slide 40: High-Frequency Repeat Conversions in On-Demand
High-Frequency Repeat Conversions in On-Demand Source: App Annie - State of Mobile 2021 39
Slide 41: The Boom in Gaming and In-App Revenues
The Boom in Gaming and In-App Revenues Source: App Annie - State of Mobile 2021 40
Slide 42: App Retargeting is Key for Activation & Revenue
App Retargeting is Key for Activation & Revenue Retention Rate Aggregated Over Days Revenue Events Aggregated Over Days Days (1-30) Days (1-31) Source: https://www.adjust.com/blog/retargeting-vs-new-user-acquisition/ 41
Slide 43: Full Funnel App Retargeting Maximizes LTV
Full Funnel App Retargeting Maximizes LTV Newly Acquired Users Active Users Dormant Users Prevent churn through early Offer attractive reasons to spend Retarget users with timely and activation and a great onboarding time on your app and increase relevant ads before they lapse experience LTV 42
Slide 44: Technology-Driven Advertising Performance
Technology-Driven Advertising Performance Dynamic Real-time Targeting Placement Optimization We connect with every single user Advertising lives through its delivery. We individually to make the most out leverage inventory sources granularly of your budget based on performance Creative Innovation Co
Slide 45: Affle2.0 Consumer Platform Stack
Affle2.0 Consumer Platform Stack Ecosystem-level Transitions 7 Connected Devices I 6 Online & Offline Conversions Maximizing Consumer LTV I Conversions New User Repeat User 5 Noelia Amoedo Ads into Consumer Recommendations Chief Executive Officer On-Device In-App Timeline Data Science (Mediasmart) 4
Slide 46: Integrated Online & Offline Worlds
Integrated Online & Offline Worlds Geofenced campaigns with high precision Drive to Store with Incremental Metrics Free POI discovery tool Premium dashboard and heatmaps Location-based audiences and insights 45
Slide 47: Location Based Audiences & Insights
Location Based Audiences & Insights DISCOVER LAYER INSIGHTS ONLINE & ABOUT YOUR OFFLINE OMNICHANNEL AUDIENCE DISCOVER INSIGHTS ABOUT YOUR AUDIENCES INSIGHTS CUSTOMERS AUDIENCE OR VISITORS INTELLIGENCE CUSTOMERS OR VISITORS TARGET PEOPLE EXAMPLE BUILD AUDIENCE EXAMPLE WORKING 30% IN ALSO VISITED COMP
Slide 48: Integrating Consumer Journeys on Connected Devices
Integrating Consumer Journeys on Connected Devices Connected TV specifically refers to televisions that have access to an internet connection and can load or stream digital content Ecosystem CTV Smart TV Internet-connected devices for streaming Game consoles TVs that connect to the internet directly
Slide 49: Leveraging Programmatic Methodology
Leveraging Programmatic Methodology In Real Time Target Location Your campaigns can reach only Where the household is located your target Audiences Customize What we previously know about Your ads can be personalized for users in that household or the your different targets household itself Measure
Slide 50: Building Engagement & Driving Conversions with Household Sync
Building Engagement & Driving Conversions with Household Sync High Impact storytelling on CTV Amplified engagement on CTV exposed audience Retarget the users who saw your ad on CTV on any other connected device within the Action driven household, within a certain timeframe after and measured they ha
Slide 51: Affle2.0 Consumer Platform Stack
Affle2.0 Consumer Platform Stack Ecosystem-level Transitions 7 Connected Devices I 6 Online & Offline Conversions Maximizing Consumer LTV I Conversions New User Repeat User 5 Diego Meller Co-Founder & Co-CEO Ads into Consumer Recommendations (Jampp) On-Device In-App Timeline Data Science 4 Core Tech
Slide 52: Creating Growth Opportunities in Transitions
Creating Growth Opportunities in Transitions Joining Forces with Affle Ecosystem-level Transitions Fintech 58%* iOS + E-commerce Dominant Mobile OS Entertainment In the US Foodtech ne of Jampp’s key markets Gaming 51
Slide 53: What changed when Apple released iOS 14.5?
What changed when Apple released iOS 14.5? April 2021 All apps in iOS 14.5 are now forced to ask for permission from the user to store and use Apple’s Identifier for Advertisers (IDFA) for tracking purposes (the same way they ask permission for notifications, location, camera, etc.) With the change,
Slide 54: Delivering Conversions across Mobile Platforms
Delivering Conversions across Mobile Platforms 100% Programmatic Full Funnel Jampp’s proprietary DSP technology Focused on New User and Repeat connects directly to all major User Conversions programmatic exchanges Outcome Driven Privacy Compliant Our algorithms bid on ad impressions Our iOS product
Slide 55: Thriving in the New Environment
Thriving in the New Environment +10X 41% More efficient conversions in SKAN Increase in SKAN generated campaigns (vs. Android) thus conversions (growth since June) generating much greater campaign ROI Rapidly Growing Product Jampp’s SKAN product has been 50% More efficient conversions in SKAN growin
Slide 56: Affle2.0 Consumer Platform Stack
Affle2.0 Consumer Platform Stack Ecosystem-level Transitions 7 Connected Devices I 6 Online & Offline Conversions Maximizing Consumer LTV I Conversions New User Repeat User 5 Ads into Consumer Recommendations On-Device In-App Timeline Data Science 4 Core Tech & Data Platform I Patents & Privacy mDMP
Slide 57: Q&A Session - 2
Q&A Session - 2 Participants who wish to ask questions can share their queries over the text through the Q&A window, for our team to address them 56
Slide 58: Contact Us
Contact Us Website www.affle.com Investor Relations Contact investor.relations@affle.com