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Copyright Broadsight Ltd 1 broadsight Measuring Conversations Where is the value? Alan Patrick (@freecloud)

Measuring Conversation

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Page 1: Measuring Conversation

Copyright Broadsight Ltd1

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Measuring Conversations

Where is the value?

Alan Patrick (@freecloud)

Page 2: Measuring Conversation

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Agenda

• How it can help you convert conversations into opportunities

• Difference in measuring quantity and quality

• Should it be governed and controlled through state of the art software, dedicated staff, or a combination?

• An overview of the software available for measuring

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Converting Conversations into Opportunities

Its just another Channel...

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Converting Conversations into Opportunities

The same old... but Different

- Feedback Loop

- Interlinked, and you are not the “star”

- They watch you too

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Quantity v Quality - Where is the value?

Revenue

Cost Reduction

Capex Efficiency

Value $$

1 1

1 1

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Revenue

Market Making

Sales Volumes

ARPU

Increasing Value

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Operating Costs

Churn

Labour Costs

Attributed Costs

CompanySpecific

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Capex

Utilisation

Efficiency

Capex Savings

Speed of Return

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Pareto

Not all conversations are equal

• Potential

• Proclivity

• Probabilities…..

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Meme Machine

Memes point to:

• Hot or Not

• Sentiment Shift

• Pointillist Patterns

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Social Capitalists

Connect the Dots

(From Mat Morrison)

• Some people are more connected than others

• This is not the same as being influential

• Gladwellian vs Wattsian models

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Measuring the Metadata

Metadata Metrics

(From Mat Morrison)

• We live in Tribes

• We can predict you from your links (friends, activities etc)

• Metadata predicts data too

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Algorithms v People

Algorithms

People

People

Integrated Systems

PeopleAlgorithms

Variety & Change

volume

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The Software

Analyse Track Aggregate SearchIdentify

Market Segmentation

• Online

• Offline

User Data

Medium (Blogs, Twitter, Search Engines, Databases)

Speed

(Real time, most popular, discrete event

Sources

(eg Feeds, Platforms)

Subject (eg a meme across platforms)

Trends

(eg Buzz, Traffic)

Comparisons (eg positional shifts vs competitors)

Statistics

(First level analysis)

Data Sifting

(2nd Level – Pattern Finding)

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The Wetware

• You can go quite a long way on open source / share ware / freely available software

• Beware “freeware” from providers that then require you to hand over your data

• Software packages – most don’t integrate to give a total picture

• System design houses – build and integrate solutions

● Open source

● Packages

● Bespoke middleware

MeasurementCamp

measurementcamp.wikidot.com

Resources and Wiki

Case Studies

Meetings

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There’s more on the Blog

blog: www.broadstuff.com