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Bot Trends 2017
The document outlines key trends in global messaging and bot usage, emphasizing the increasing importance of messaging apps as platforms for bots. It discusses various aspects of bot functionality, including conversational interfaces, structured inputs, and group messaging, as well as the potential for monetization through subscriptions, analytics, and virtual goods. Additionally, it highlights the shift in user behavior towards mobile and the role of bots in facilitating communication and commerce.
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Bot Trends 2017
- 1. David Pichsenmeister @3x14159265 BOT TRENDS2017 David Pichsenmeister david@orat.io Jan, 2017 Intelligence orat.io/bot-trends
- 2. David Pichsenmeister @3x14159265 Outline 1) GlobalMessaging Trends 2) Global Bot Trends 3) Conversational Interfaces 4) Structured Inputs & Webviews 5) Canonical Interfaces 6) Group Messaging 7) Human Supervision 8) Bot Discovery 9) Monetization
- 3. David Pichsenmeister @3x14159265 “Messaging isone of the few things that people do more than social networking.” Mark Zuckerberg, Founder of Facebook
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- 6. David Pichsenmeister @3x14159265 https://www.statista.com/statistics/325926/monthly-app-downloads-of-us-smartphone-users Monthly appdownloads of US Smartphone users 49%zero apps
- 7. David Pichsenmeister @3x14159265 https://www.statista.com/statistics/473831/number-of-daily-smartphone-apps-used-usa # ofapps used per day by US Smartphone users
- 8. David Pichsenmeister @3x14159265 https://www.statista.com/statistics/473831/number-of-daily-smartphone-apps-used-usa # ofapps used per day by US Smartphone users 72% use <= 6 apps
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- 12. David Pichsenmeister @3x14159265 Source: http://flurrymobile.tumblr.com/post/155761509355/on-their-tenth-anniversary-mobile-apps-start *Time spent in Messaging & Social in Q2 2015: 68min (https://yahoodevelopers.tumblr.com/post/127636051988/seven-years-into-the-mobile-revolution-content-is) Messaging and social app time spent grows 394% Year-over-Year
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- 14. David Pichsenmeister @3x14159265 https://www.appannie.com/jp/insights/understanding-global-messaging-app-user Most engagedmessaging app users by country Avg. 48 minutes
- 15. David Pichsenmeister @3x14159265 https://www.similarweb.com/blog/messaging-apps Average timespent per day in messaging apps
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- 17. David Pichsenmeister @3x14159265 Global BotTrends 1) 72% of US smartphone users use less than 6 apps on a daily basis Existing platforms are becoming more important, apps opening possibility to build applications on top of their platform 2) Digital growth mostly coming from mobile usage Instant messaging is driven by mobile with 91% of digital time spent in this category 3) Platform shift In 2008 people started using smartphones over desktops, in 2016 people shifting to use applications built on top of existing platforms → Bots
- 18. David Pichsenmeister @3x14159265 > > WebappsApps Bots Distribution channels are shifting
- 19. David Pichsenmeister @3x14159265 Chatbot A computerprogram designed to simulate an intelligent conversation with one or more human users via conversational interfaces.
- 20. David Pichsenmeister @3x14159265 Bots lightweight appswithin messengers
- 21. David Pichsenmeister @3x14159265 “Chat appswill come to be thought of as the new browsers; bots will be the new websites. This is the beginning of a new Internet.” Ted Livingston, Founder of Kik
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- 23. David Pichsenmeister @3x14159265 https://www.statista.com/statistics/325706/global-internet-user-penetration ~ 3.5Bn ~ 4.5% Y/Y Global Internet Users
- 24. David Pichsenmeister @3x14159265 * Registeredusershttps://orat.io/blog/current-numbers-for-mobile-messengers-q4-2016 Skype 300 Mio MAU Messenger 1.1 Bn MAU WhatsApp 1.2 Bn MAU WeChat 806 Mio MAU Kik* 300 Mio users Line 220 Mio MAU Viber 240 Mio MAU Telegram 170 Mio MAU Global Messaging Users
- 25. David Pichsenmeister @3x14159265 Messaging Apps NaturalLanguage Understanding / ML Drivers in Bot Trend
- 26. David Pichsenmeister @3x14159265 intent: restaurant_search entities: cuisine:mexican area: vienna I’m looking for a Mexican restaurant in Vienna.
- 27. David Pichsenmeister @3x14159265 … andmore TensorFlow (Google) Api.ai (Google) Rasa NLU (LastMile) Google Cloud Platform NLU API Wit.ai (Facebook) LUIS (Microsoft) Watson (IBM) NLP & AI Tools
- 28. David Pichsenmeister @3x14159265 Messaging Apps NaturalLanguage Understanding / ML Voice Drivers in Bot Trend
- 29. David Pichsenmeister @3x14159265 http://www.slideshare.net/kleinerperkins/2016-internet-trends-report/125?src=clipshare ● 2014Baidu - 1 of 10 searches through voice ● 2016 Android - 1 of 5 searches through voice ● 2020 Baidu - At least 50% searches through voice and images
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- 31. David Pichsenmeister @3x14159265 Conversational Interfaces ●Understanding natural language Chatbots understand and answer in natural human language ● Multimedia Users can interact through text, voice or even images ( → image recognition). ● Human-like conversation Users can communicate with the service as they would do with a person, keeping track of the context from previous messages or ongoing conversation. In many cases the bot represents a persona.
- 32. David Pichsenmeister @3x14159265 Siri (Apple) Cortana (Microsoft) Echo (Amazon) Google Home/ Google Assistant Smart Assistants
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- 34. David Pichsenmeister @3x14159265 Structured Inputs 1)Enriched UI Elements Predefined templates and elements can be used to enrich UI and UX within conversation 2) Specific to every messaging network Quick replies, buttons, persistent menus, list templates, carousels, ... 3) Supportive conversation Structured inputs are used to support user flows & shortcuts, advance user input and minimize typing effort for users
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- 36. David Pichsenmeister @3x14159265 Webviews 1) HTML5Webviews Webviews or micro HTML sites can be used within a conversation 2) Enrich chat with custom elements Webviews can be used to create custom rich elements, e.g. datepicker, galeries, forms, profiles, ... 3) App-like rich interaction Custom visual elements or mini HTML sites support providing an app-like experience within a chat
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- 42. David Pichsenmeister @3x14159265 Canonical Interfaces 1)Separated channels → Unification Instead of having different channels for different usecases (e.g. newsletter = email, product discovery = app, Support => livechat), bots can combine this channels into a canonical interface, providing different usecases through chat and enriched interaction elements 2) Companies combine their well established channels into one canonical interface Discovery, Website, Customer Support, RSS, Newsletter, Email, eCommerce, … => all within one chat
- 43. David Pichsenmeister @3x14159265 Canonical Interfaces 3)Transfer existing usecases into new channel Rather than creating new usecases, existing ones are transferred and combined into a single chat. 4) History of every interaction User and business get a log of every interaction 5) Streamlined interface Instead of a state-based interface (e.g. apps) all interaction is in one single stream
- 44. David Pichsenmeister @3x14159265 Companies alreadytransferring usecases into chat
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- 47. David Pichsenmeister @3x14159265 Group messaging 1)Add bots to group chats Bots can be added to groups making it possible for multiple people to interact with the bot as a group chat member. 2) Inline bots Inline bots can be called on-the-fly within every conversation just by mentioning the bot. This is possible in 1-1 chats and group chats.
- 48. David Pichsenmeister @3x14159265 Group messaging Botin group Inline Bots
- 49. David Pichsenmeister @3x14159265 Supported Typeof Chats Private Chat Group Chat Bot Chat Bot Group Chat Inline Bot ✅ ✅ ❌ ❌ ❌ ✅ ✅ ✅ ❌ ❌ ✅ ✅ ✅ ❌ ❌ ✅ ✅ ✅ ✅ ❌ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
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- 52. David Pichsenmeister @3x14159265 Human supervision 1)Customer Care Agent → Supervisor Traditional customer care agents transition to supervisors of bots 2) Human Assistance/ Human Takeover Humans can takeover conversations when needed or assist users if they got stuck 3) Human assisted AI Bots are trained from humans and can learn based on their interaction and dialogs with users
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- 54. David Pichsenmeister @3x14159265 Bots canbe discovered through ● Bot stores ● Search within messaging network ● Featuring in messaging network ● Shortlinks ● QR Codes ● External listing sites (Botlist, Chatbottle, …) ● PR ● Ads
- 55. David Pichsenmeister @3x14159265 Discovery Options BotStore QR Codes Shortlinks Featured Bots ❌ ❌ ❌ ❌ ❌ ✅ ✅ ✅ ✅ ✅ ❌ ✅ ✅ ❌ ❌ ❌ ✅* ❌ ✅ ✅* ✅ ✅ ❌ ✅ ✅ ✅ ✅ ✅ * Unofficial Store
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- 57. David Pichsenmeister @3x14159265 Monetization 1) Subscription Providingan ongoing service that the user pays for
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- 60. David Pichsenmeister @3x14159265 Monetization 1) Subscription Providingan ongoing service that the user pays for 2) Analytics and Market research Helping brands understand the audience through engaging conversations or games
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- 63. David Pichsenmeister @3x14159265 Monetization 1) Subscription Providingan ongoing service that the user pays for 2) Analytics and Market research Helping brands understand the audience through engaging conversations or games 3) Selling goods Bots are becoming new channels to sell goods and services
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- 65. David Pichsenmeister @3x14159265 Monetization 4) Referralfees Bots helping to decide which service to consume
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- 68. David Pichsenmeister @3x14159265 Monetization 4) Referralfees Bots helping to decide which service to consume 5) In-Bot virtual goods Sell virtual goods inside bots, e.g. games
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- 70. David Pichsenmeister @3x14159265 Monetization 4) Referralfees Bots helping to decide which service to consume 5) In-Bot virtual goods Sell virtual goods inside bots, e.g. games
- 71. David Pichsenmeister @3x14159265 Disclosure This presentationhas been compiled for informational purposes only. The presentation relies on data and insights from a wide range of sources, including public and private companies, market research firms and government agencies. Specific sources are cited where data are public. Updates, revisions and clarifications will be posted to the oratio website. Thanks Thomas Schranz (Lemmings I/O), Peter Buch (Swell), David Pfluegl (nuwings, Lemmings I/O) for input and feedback