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Ray Poynter, The Future Place JMRX Lectures 2015 第1回 2015.4.28 19:30-21:30 What’s Hot in Market Research? レイ・ポインターの 白熱教室2015 盛況でした。 嬉しくなってこんなの つくっちゃいましたTomoko Yoshida
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Jul 28, 2015

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Page 1: Ray poynter what is hot in market research  plus by ty

Ray Poynter, The Future Place – JMRX Lectures 2015

第1回 2015.4.28

19:30-21:30

What’s Hot in Market Research?

レイ・ポインターの 白熱教室2015 盛況でした。

嬉しくなってこんなの

つくっちゃいました。 Tomoko Yoshida

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当日のスライドはこちらです

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Ray Poynter, The Future Place – JMRX Lectures 2015

What’s Hot in Market Research?

Ray Poynter

The Future Place

JMRX – Tokyo – April 28, 2015

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Now &

The near future

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Ray Poynter, The Future Place – JMRX Lectures 2015

Still Hot

Hot

Bubbling

What About?

Interaction Time

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Ray Poynter, The Future Place – JMRX Lectures 2015

Still Hot

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Ray Poynter, The Future Place – JMRX Lectures 2015

Mobiles in Traditional Research

CATI

GRIT Number 1

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Ray Poynter, The Future Place – JMRX Lectures 2015

Communities

GRIT Number 2

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Ray Poynter, The Future Place – JMRX Lectures 2015

DIY DIY Automation

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Ray Poynter, The Future Place – JMRX Lectures 2015

Comm-unities

Still Hot

Efficacy

Scalable

Mobiles in Trad. MR

DIY

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Ray Poynter, The Future Place – JMRX Lectures 2015

Hot

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Ray Poynter, The Future Place – JMRX Lectures 2015

In the Moment

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Ray Poynter, The Future Place – JMRX Lectures 2015

Location-based Research

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Ray Poynter, The Future Place – JMRX Lectures 2015

Micro Surveys

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Ray Poynter, The Future Place – JMRX Lectures 2015

Automation

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Ray Poynter, The Future Place – JMRX Lectures 2015

Hot

Efficacy

Scalable

In the moment

Micro Surveys

Auto-mation

Location

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Ray Poynter, The Future Place – JMRX Lectures 2015

Bubbling

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Ray Poynter, The Future Place – JMRX Lectures 2015

Text Analytics

Text Analytics

Sentiment analysis

Inbound comms analysis

Reaction marketing

Service delivery

Analysis of open-ended data

Bots

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Ray Poynter, The Future Place – JMRX Lectures 2015

Web Messaging

February 2014 $19billion

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Ray Poynter, The Future Place – JMRX Lectures 2015

Research Bots

John Griffiths

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Ray Poynter, The Future Place – JMRX Lectures 2015

Social Media Research

I agree most SMR has under delivered, but my company are doing it right.

1. Social is widely used, but to a much smaller extent than was forecast – in MR

2. Most clients I have spoken to have scaled back their SM stuff – within MR

3. Social answers questions we never asked – good, but there is not always a demand for those

4. Social is usually bad at answering clients’ MR questions

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Ray Poynter, The Future Place – JMRX Lectures 2015

BT Case Study

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Ray Poynter, The Future Place – JMRX Lectures 2015

BT Case Study

• BT have identified that Net Easy is a key metric in reducing churn

• DebateScape trawls social media for relevant conversations – Finding relevant comments and treating as CRM in a

workflow situation

– Also delivers key metrics

• ROI? – £2 million cost reduction, per year

– 600,000 contacts dealt with via social, instead of voice

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Ray Poynter, The Future Place – JMRX Lectures 2015

Bubbling

Efficacy

Scalable

Text Analytics

Research Bots

Web Messaging

Social Media

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Ray Poynter, The Future Place – JMRX Lectures 2015

What About? Big Data Passive Data Behavioural Economics Gamification Neuroscience Smartphone Ethnography Biometrics Facial coding Geotracking Wearables Quantified Self / Life Logging

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Ray Poynter, The Future Place – JMRX Lectures 2015

What About?

Efficacy

Scalable

Big Data

Passive Data

BE

Gami-fication

Neuro-science

Mobile Ethno.

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Ray Poynter, The Future Place – JMRX Lectures 2015

What About?

Efficacy

Scalable

Big Data

Geo-tracking Wearables

QS, LL

Facial Coding

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Ray Poynter, The Future Place – JMRX Lectures 2015

Beyond MR?

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Ray Poynter, The Future Place – JMRX Lectures 2015

THANK YOU

Q & A

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Ray Poynter, The Future Place – JMRX Lectures 2015

The Next Five Years - Global

Automation will change – Survey design

– Project management

– Reporting

– Video analysis

– Social media analytics

– Big data analytics

– Text analytics

– Online qual moderation

– MROC management

What are the implications for Japan?

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Ray Poynter, The Future Place – JMRX Lectures 2015

Automation and the Implications for Japan

Strengths Weaknesses

Opportunities Threats

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レクチャーももちろんすばらしかったけれど、

その直後(というか、リアルタイムで)、

FBでDragonflyさんが

こういう投稿をしてくださったことで、

もっともっと素敵になりました。

該当する(と思われる)

スライドと並べてみます。

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Ray Poynter先生、ありがとうございました。

Dragonflyさん、ありがとうございました。

通訳してくださったクロダさん、ありがとうございました。

ご参加くださったみなさん、ありがとうございました。

次回は5月12日(火)またお会いいたしましょう。シノプシスはこちらです。

【ビッグデータと先進アナリティクス】

ビッグデータとは何か? ビッグデータは何をしてくれて、何をしてくれないのか、実例をあげながら紹介します。たとえば

今、Predictive Analytics (※調べてみたけど、オーソライズされている日本語はちょっと見つからないのでとりあえ

ずそのまま)が注目を浴びています。果たして、この人気の正体は何なのか、 Predictive Analyticsでどのようなこ

とがわかるか、同時に、その限界や課題などについて、解説します。

フリーランスモデレイター 吉田朋子より