ClickZ Live: Smart Analytics
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Transcript of ClickZ Live: Smart Analytics
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Smart Analytics And Metrics For SuccessHow to Monetize Customer Experience
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Agenda
Our perspectiveThe case for experience How data worksUsing data more effectivelyTools
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Our perspective
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Kristin Low
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Agenda
WhoThe case for experience AnalysisFuture
Patti Hunt
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Community & Products
Over 800 members across 5 countries in Asia.
COMMUNITIES EVENTS
Creating 100 startups in 5 cities across Asia.
Helping startups in Hong Kong, Shenzhen & Singapore
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We build our own products
Clean home. Clear conscience.
http://www.fairmaid.co
A marketplace for unique short-term spaces.
http://www.whitespaces.co
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The case for experience
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“For most of us, design is invisible. Until it fails.”
- Bruce Mau
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Making people want things vs.
Making things people want
The only designers in the room?
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1.795%
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1.795%
http://www.mobify.com/insights/2014-mobile-conversion-rate-benchmarks/
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1.795%
http://www.mobify.com/insights/2014-mobile-conversion-rate-benchmarks/
The average conversion rate for mobile usage on e-commerce websites across all categories for 2013.
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1.795%
http://www.mobify.com/insights/2014-mobile-conversion-rate-benchmarks/
As marketers, we spend a lot of our life trying to make this number go up.
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SAG
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SAG
98.205%
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98.205%
1.795%
Because this is broken.
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98.205%
1.795%
As designers, we look at this other number.
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98.205%
1.795%
Design is about solving problems.
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Creating effective experiences means addressing the service which underpins them.
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Experience is the perception of the service we deliver.
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Service businesses are one of the largest sectors in most developed economies.
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$1$20
http://www.adaptivepath.com/ideas/serious-service-sag/
Are our priorities right?
Keeping����������� ������������������ promises
Making����������� ������������������ promises
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98.205%
1.795%But we spend an awful lot on making them.
We spend very little on actually keeping our promises.
We should spend more on keeping the promises we make.
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This creates the Service Delivery Gap
0
20
40
60
80
14
80
https://www.linkedin.com/today/post/article/20140602114924-13943480-the-service-delivery-gap-you-are-missing
The Service Delivery Gap: What companies think versus whether they think their customers will agree.
Companies that believe they provide an above-average customer experience.
Companies who think their customers agree.
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This creates the Service Delivery Gap
0
20
40
60
80
1114
80
https://www.linkedin.com/today/post/article/20140602114924-13943480-the-service-delivery-gap-you-are-missing
The Service Delivery Gap: What companies think versus whether they think their customers will agree.
Companies that believe they provide an above-average customer experience.
Companies who think their customers agree.
Companies who ’s customers agree.
And����������� ������������������ also����������� ������������������ what����������� ������������������ customers����������� ������������������ think!
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How data works
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SAG
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SAG
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SAG
Most businesses don’t know how to use data.
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SAG
“The point of data is intimacy.”- Roger Martin
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It’s worth repeating.
Data can be qualitative and quantitative.
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Data can be qualitative and quantitative. should
It’s worth repeating.
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All data is subjective.
It’s worth repeating.
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Data won’t make decisions for you.
It’s worth repeating.
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Data helps you do two things: discover and validate.
It’s worth repeating.
Analysis
Synthesis
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Using data more effectively
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Understand the difference between data & metrics.
Using data more effectively
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Understand the difference between data & metrics
• Good metrics are comparative, such as a ratio or rate
• Good metrics are understandable
• Good metrics change the way you behave
• Good metrics should hint at what you need to do next
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This is not a metric.
Understand the difference between data & metrics
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This is a metric.
“Listings per seller for the past 90 days.”
Based����������� ������������������ on����������� ������������������ a����������� ������������������ time����������� ������������������ period
Ratio
Referencing����������� ������������������ a����������� ������������������ causal����������� ������������������ relationship
Understand the difference between data & metrics
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Market Research
Design Research
Learning what people doLearning what people like
Understand your research toolkit
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Design Research (the approach taken for this project) relies primarily on qualitative research techniques to discover user needs, which may then be validated using more quantitative research techniques.
Design Research (Qualitative)
Market Research (Most Often Quantitative)
Purpose To discover what is unknown, uncovering potential opportunities and risks to increase chances of success.
To analyze and understand what is already known with a view to optimizing success.
Investigative technique Researcher may only know roughly in advance what he/she is looking for.
Researcher knows clearly in advance what he/she is looking for.
Research tools Researcher is the data gathering instrument.Researcher uses tools, such as questionnaires or equipment to
collect numerical data.
Data type usedData is in the form of words, pictures or objects
(or a combination).Data is in the form of numbers and statistics.
When to use? Recommended during earlier phases of research projects. Recommended during latter phases of research projects.
Table adapted from: http://wilderdom.com/research/QualitativeVersusQuantitativeResearch.html
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Understand your research toolkit
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Research
Discover
Experiment
Operationalize
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Tools
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Inspectlet Discover
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Inspectlet Discover
Heatmaps Session Recording
Form Analytics
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Optimizely Experiment
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Optimizely Experiment
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Geckoboard Operationalize
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Geckoboard Operationalize
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Bonus tools
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