> Making data sexy < Turning raw data into ac.onable insights
> Making data sexy < Turning raw data into ac.onable insights
> The datalicious elevator pitch
Media A:ribu<on & Modeling
Op<mise channel mix, predict sales
Tes<ng & Op<misa<on Remove barriers, drive sales
Boos<ng ROI
Targeted Direct Marke<ng Increase relevance, reduce churn
“Using data to widen the funnel”
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Make data sexy by turning it into ac<onable insights
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Standardise metrics
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Break down data silos
> Establish a single source of truth
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Insights Repor<ng
> Combine profile data sources
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+ one-‐off collec.on of demographical data age, gender, address, etc customer lifecycle metrics and key dates profitability, expira<on, etc predic.ve models based on data mining
propensity to buy, churn, etc historical data from previous transac.ons
average order value, points, etc
CRM Profile
Updated Occasionally
tracking of purchase funnel stage
browsing, checkout, etc tracking of content preferences
products, brands, features, etc tracking of external campaign responses
search terms, referrers, etc tracking of internal promo.on responses
emails, internal search, etc
Site Behaviour
Updated Con<nuously
Geo-‐demographic data
> 3rd party data enhancements
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3rd party data
+ The whole is greater than the sum of its parts
Customer profile data
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Visualise your data
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What trends can you iden<fy in 5 seconds by looking at the raw data only?
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August 2011 © Datalicious Pty Ltd 16 RED = No single men
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Allocate a data budget
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Combine data & crea<vity
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Contact us [email protected]
Learn more
blog.datalicious.com
Follow me twi:er.com/datalicious
Data > Insights > Ac<on
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