Bot Trends 2017

David Pichsenmeister@3x14159265

BOT TRENDS 2017David [email protected], 2017

Intelligence

orat.io/bot-trends

https://orat.io/bot-trends

https://orat.io/bot-trends


Outline1) Global Messaging 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


“Messaging is one of the few things that people do more than social networking.”

Mark Zuckerberg, Founder of Facebook


Global Messaging Trends


https://www.statista.com/statistics/325926/monthly-app-downloads-of-us-smartphone-users

Monthly app downloads of US Smartphone users


https://www.statista.com/statistics/325926/monthly-app-downloads-of-us-smartphone-users

Monthly app downloads of US Smartphone users

49%zero apps


https://www.statista.com/statistics/473831/number-of-daily-smartphone-apps-used-usa

# of apps used per day by US Smartphone users


https://www.statista.com/statistics/473831/number-of-daily-smartphone-apps-used-usa

# of apps used per day by US Smartphone users

72% use <= 6 apps


https://www.comscore.com/layout/set/popup/Request/Presentations/2015/The-2015-US-Mobile-App-Report

Digital growth coming mostly from mobile


https://www.comscore.com/layout/set/popup/Request/Presentations/2015/The-2015-US-Mobile-App-Report

Digital growth coming mostly from mobile


http://www.businessinsider.de/the-messaging-app-report-2015-11


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


https://www.appannie.com/jp/insights/understanding-global-messaging-app-user

Most engaged messaging app users by country


https://www.appannie.com/jp/insights/understanding-global-messaging-app-user

Most engaged messaging app users by country

Avg. 48 minutes


https://www.similarweb.com/blog/messaging-apps

Average time spent per day in messaging apps


Global Bot Trends


Global Bot Trends1) 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 usageInstant messaging is driven by mobile with 91% of digital time spent in this category

3) Platform shiftIn 2008 people started using smartphones over desktops, in 2016 people shifting to use applications built on top of existing platforms → Bots


> >Webapps Apps Bots

Distribution channels are shifting


ChatbotA computer program designed to simulate an

intelligent conversation with one or more human users via conversational interfaces.


Bots

lightweight apps within messengers


“Chat apps will 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


Messaging Apps

Drivers in Bot Trend


https://www.statista.com/statistics/325706/global-internet-user-penetration

~ 3.5 Bn

~ 4.5% Y/Y

Global Internet Users


* Registered usershttps://orat.io/blog/current-numbers-for-mobile-messengers-q4-2016

Skype300 Mio MAU

Messenger1.1 Bn MAU

WhatsApp1.2 Bn MAU

WeChat806 Mio MAU

Kik*300 Mio users

Line220 Mio MAU

Viber240 Mio MAU

Telegram170 Mio MAU

Global Messaging Users


Messaging Apps Natural Language Understanding / ML



intent: restaurant_searchentities:

cuisine: mexicanarea: vienna

I’m looking for a Mexican restaurant in Vienna.


… and moreTensorFlow(Google)

Api.ai(Google)

Rasa NLU(LastMile)

Google Cloud Platform NLU API

Wit.ai(Facebook)

LUIS(Microsoft)

Watson(IBM)

NLP & AI Tools


Messaging Apps Natural Language Understanding / ML Voice



http://www.slideshare.net/kleinerperkins/2016-internet-trends-report/125?src=clipshare

● 2014 Baidu - 1 of 10 searches through voice

● 2016 Android - 1 of 5 searches through voice

● 2020 Baidu - At least 50% searches through voice and images


Conversational Interfaces


Conversational Interfaces● Understanding natural language

Chatbots understand and answer in natural human language

● MultimediaUsers can interact through text, voice or even images ( → image recognition).

● Human-like conversationUsers 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.


Siri(Apple)

Cortana(Microsoft)

Echo(Amazon)

Google Home /Google Assistant

Smart Assistants


Structured Inputs & Webviews


Structured Inputs1) Enriched UI Elements

Predefined templates and elements can be used to enrich UI and UX within conversation

2) Specific to every messaging networkQuick replies, buttons, persistent menus, list templates, carousels, ...

3) Supportive conversationStructured inputs are used to support user flows & shortcuts, advance user input and minimize typing effort for users


Structured Inputs


Webviews1) HTML5 Webviews

Webviews or micro HTML sites can be used within a conversation

2) Enrich chat with custom elementsWebviews can be used to create custom rich elements, e.g. datepicker, galeries, forms, profiles, ...

3) App-like rich interactionCustom visual elements or mini HTML sites support providing an app-like experience within a chat


Webviews


Webviews


Canonical Interfaces




Canonical Interfaces1) 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 interfaceDiscovery, Website, Customer Support, RSS, Newsletter, Email, eCommerce, … => all within one chat


Canonical Interfaces3) 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 interactionUser and business get a log of every interaction

5) Streamlined interfaceInstead of a state-based interface (e.g. apps) all interaction is in one single stream


Companies already transferring usecases into chat


Group Messaging



Group messaging1) 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 botsInline 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.


Group messaging

Bot in group Inline Bots


Supported Type of Chats

Private Chat Group Chat Bot Chat Bot Group Chat Inline Bot

✅ ✅ ❌ ❌ ❌

✅ ✅ ✅ ❌ ❌

✅ ✅ ✅ ❌ ❌

✅ ✅ ✅ ✅ ❌

✅ ✅ ✅ ✅ ✅

✅ ✅ ✅ ✅ ✅

✅ ✅ ✅ ✅ ✅


Human Supervision



Human supervision1) Customer Care Agent → Supervisor

Traditional customer care agents transition to supervisors of bots

2) Human Assistance/ Human TakeoverHumans can takeover conversations when needed or assist users if they got stuck

3) Human assisted AIBots are trained from humans and can learn based on their interaction and dialogs with users


Bot Discovery


Bots can be discovered through● Bot stores

● Search within messaging network

● Featuring in messaging network

● Shortlinks

● QR Codes

● External listing sites (Botlist, Chatbottle, …)

● PR

● Ads


Discovery Options

Bot Store QR Codes Shortlinks Featured Bots

❌ ❌ ❌ ❌

❌ ✅ ✅ ✅

✅ ✅ ❌ ✅

✅ ❌ ❌ ❌

✅* ❌ ✅ ✅*

✅ ✅ ❌ ✅

✅ ✅ ✅ ✅* Unofficial Store


Monetization


Monetization1) Subscription

Providing an ongoing service that the user pays for






2) Analytics and Market researchHelping brands understand the audience through engaging conversations or games






2) Analytics and Market researchHelping brands understand the audience through engaging conversations or games

3) Selling goodsBots are becoming new channels to sell goods and services



Monetization4) Referral fees

Bots helping to decide which service to consume






5) In-Bot virtual goodsSell virtual goods inside bots, e.g. games





5) In-Bot virtual goodsSell virtual goods inside bots, e.g. games


DisclosureThis presentation has 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.

ThanksThomas Schranz (Lemmings I/O), Peter Buch (Swell), David Pfluegl (nuwings, Lemmings I/O) for input and feedback

https://lemmings.io

https://swell.wtf

http://nuwings.at

https://lemmings.io

https://lemmings.io

Date post:	13-Apr-2017
Category:	Social Media
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Bot Trends 2017

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