#MBLT14 Presentation AT Internet

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© COPYRIGHT 2013 ONLINE INTELLIGENCE SOLUTIONS The power of mobile analytics In a multi-device environment

description

#MBLT14: Inspired by innovations (http://mblt.ru) — international mobile conference Organizers: e-Legion (http://e-legion.com), RAEC (http://raec.ru/en/)

Transcript of #MBLT14 Presentation AT Internet

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The power of mobile

analytics In a multi-device environment

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THE COMPANYAPPLIED TECHNOLOGIES INTERNET

years experience in the web

customers from all sectors

sites measured

employees all over the world

17

3,500+

350,000+

200+

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THE COMPANYINTERNATIONAL PRESENCE

AT Internet offices

France - Bordeaux France – ParisUnited Kingdom – LondonCanada – MontrealGermany – MunichGermany - HamburgSpain – Madrid

Partners

Data Centers

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INTERNATIONAL LEADER FORRESTER WAVE 2014

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Traffic evolution

websites & apps

Period: January 2012 to December 2013 . Perimeter : 2 933 French web sites and 263 apps tagged by AT Internet.

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mail : [email protected]

MULTI-SCREEN WORLDCROSS PLATFORM CONSUMER BEHAVIOR

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mail : [email protected]

HETEROGENEOUS GROWTH

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60% of online adults use at least two devices every day and nearly

25% use three devices.

40% of all online adults start an activity on one device

and finish it on another.

Source : Econsultancy – March 2014

MULTI-SCREEN WORLDCROSS PLATFORM CONSUMER BEHAVIOR

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MULTI-DEVICE

o Adapt the offer and content to a mobile context

o Compare the use cases and keys to success for each device

o Optimise the user experience across devices

MULTI-DEVICE SEGMENTATION

Laptop | Tablet | Smartphone | Console | Smart TV

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MULTI-DEVICEMULTI-DEVICE SEGMENTATION

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MULTI-DEVICE VISIONDATA QUERY

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VISITOR JOURNEYVISTOR SEGMENTATION

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Real-time access to all analytics & metrics

Analyse across sites and across devices

Responsive (iPad, iPhone, etc.)

‘THE RIGHT INFORMATION TO THE RIGHT PERSON, AT THE RIGHT TIME’

DATA MINING & DISTRIBUTION

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DASHBOARD APPLICATION

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10% SALES

#1 USE CASEPRODUCT MERCHANDISING ADAPTATION

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#2 USE CASEMULTI SCREEN CONTENT CONSUMPTION

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# USE CASE 3INCREASING LOYALTY

OBJECTIVES

o Data driven content customization

o Increasing algorithm performance

RESULTS

o Click through rate increased by 32% on

customized content

Full case study on Atinternet.com

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100%

PERSONAS & CLUSTERS

?

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57%31%

3%

1%

2%

3%1%

1%3%

PERSONAS & CLUSTERS

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PERSONAS & CLUSTERSINCREASING LOYALTY

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Samia [email protected]

@Samia_Analytics