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"Predictive Analytics: The future of social media"

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Predictive Analytics The future of Social Media David Uribe - Global VP/Creative Director at Asylum Marketing LLC Co-founder & CMO at smartBeemo LLC Miami Ad School Professor @david_digital
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Page 1: "Predictive Analytics: The future of social media"

Predictive Analytics The future of Social Media

David Uribe - Global VP/Creative Director at Asylum Marketing LLCCo-founder & CMO at smartBeemo LLC

Miami Ad School Professor

@david_digital

Page 2: "Predictive Analytics: The future of social media"

Digital made everything measurable…

Page 3: "Predictive Analytics: The future of social media"

Then it became a constant transformation

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Now, we just cannot agree on what success is…

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Because we’re focused on numbers, forgetting than numbers are the consequence… not the cause.

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Do we want to know/see numbers or identify behaviors?

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How do you measure qualitative behaviors then?

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BIG DATA “Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.”1

1: Source: Google

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What is the right method to find those patterns?We’re not even looking for them. Client/Boss happy = Happy agency.

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Digital Mktg 2015: Data rich - Insights poor

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Introducing: Predictive Analytics

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Intelligent Data vs Big DataData - Patterns - Actions

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How do we find valuable patterns?

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Key: Mathematical AttributionValue to qualitative data (behavioral metrics) and enter the equation.

To find patterns: Mix quantitative (n) data with qualitative (b) data by attributing a value to what you

can’t directly measure / timeframe (t)

P = n * b (f) / t

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Existing metric vs Creating a new metricWelcome to the metrics revolution

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Example IThe social voice of a brand model

Content Pillar A Content Pillar B Content Pillar C Content Pillar D

30% 30% 30% 10%

Timeframe

= 7+%SustainedEngagement

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Example IIDynamic Fluctuating Weighing System (DFWS)

Topic A: Product 33% Topic B: Gym 33% Topic C: Lifestyle 33%

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Example IIIsmartBeemo’s scoring metric

Likes = 1Comments = 3Shares = 7

Now predict B*#ch!!

Fav = 1Rep = 3RT = 7

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Example IVView-ability engagement metric

VEM = topic (x3) * ER * ATS / Tribe

ER = L + C Avg time spent = #”

Tribe = Targeted audience

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Page 21: "Predictive Analytics: The future of social media"

Predicting is better than guessing

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Science/Math rule the worldIt’s time for scientific social media marketing

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Predict influential content Set the trend

$

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Let’s not forget the essentials...

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Content: SoMe Marketing has to be

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Meet the Bee-mo Teamwww.smartbeemo.com

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Thank [email protected]

@david_digital


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