Adversitement Web Intelligence Information 2010

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Where does it go?

Adversitement 2010 ©

Mission

Adversitement increases lifetime customer profitability by

empowering technology and intelligence, all focused on multichannel micro data for

sustainable revenue improvement and a more efficient user

experience.Adversitement 2010 ©

Vision

Adversitement provides tools, information, services (f.e. training) and innovative insights for existing and new ambitious customers /

organizations. We help them to achieve proven – data driven – optimizations in their communication channels according to their KPI’s, to increase campaign, channel and

business profitability. With our help, strategic decisions can be made through detailed and aggregated analysis. The ultimate goal is to

help our customers achieve their online business objectives.

Adversitement 2010 ©

Index

1. Market developments

2. Integration

3. Visualization

4. Future vision

5. Questions and answers

Adversitement 2010 ©

1. Market developments

• Cookies

• Flash cookies

• Social media

• Adobe and Omniture

Adversitement 2010 ©

Cookies

Adversitement 2010 ©

Flash cookies

Adversitement 2010 ©

Social media

Adversitement 2010 ©

Adobe and Omniture

Adversitement 2010 ©

Adobe and Omniture

Adversitement 2010 ©

2. Integration

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Integration, why?

Adversitement 2010 ©

SEO

Position = number 1

Apple

Egg

Cabinet

Wall

Seminar

Adversitement 2010 ©

Email targeting

Home-page

IB

13 June

Home-page

LoansLoan

module

24 June

Visitor 123 is known

Newsletter July:

"Give me all the client numbers of clients who are interested in borrowing"

Adversitement 2010 ©

Measuring social media

Adversitement 2010 ©

Data exchange

Classifications

Triggers

Data sources

Excel/email/ect.

API

Data warehouse

Adversitement 2010 ©

3. Visualization

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Draw the right conclusion

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Additional proof

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Final proof

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Make it clear

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Before and after

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Tableau analyse

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Goal visualizations

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4. Future vision

Optimizing...

Adversitement 2010 ©

Data modeling

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Data modeling

• Make a model on the basis of available (client) data and apply this model on anonymous clients to predict behavior.

• The creative part remains by the people, tools will take care of the implementation.

Adversitement 2010 ©

5. Questions and answers

Thanks!

For more information and/or questions:

info@adversitement.nl

Adversitement 2010 ©

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