The Power of Hindsight: Using Historical Data to Make Better Decisions

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1 #brandwatcht ips © 2014 Brandwatch.com Webinar/ The Power of Hindsight: Using historical data to make better decisions CMO, Brandwatch @willmcinnes Hosted by Will McInnes

description

How many times have you looked back and thought, ‘If only I’d known x’? We’ve all experienced the power of hindsight, and luckily now businesses can harness that power by analyzing historical social data. In these webinar slides we're exploring the benefits of using historical Twitter data for your business.

Transcript of The Power of Hindsight: Using Historical Data to Make Better Decisions

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© 2014 Brandwatch.com

Webinar/The Power of Hindsight: Using historical data to make better decisions

CMO, Brandwatch@willmcinnes

Hosted by Will McInnes

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© 2014 Brandwatch.com

Our speakers

VP, Data & Analytics,Text100

@MrPhilipKam

Phil KamDirector of Professional Services, Brandwatch

@molten_tofu

Nate WaltonData Scientist,

Twitter@DrSkippy

Scott Hendrickson

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© 2014 Brandwatch.com

Coming up

• Presentations

• Panel Discussion: The value of Hindsight

• Q&A

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© 2014 Brandwatch.com4

Don’t be shy/We’d love your participation

• Ask questions in the session chat

• Tweet about our discussion

@brandwatch

#brandwatchtips

A download and recording of the webinar will be made available after the event

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© 2014 Brandwatch.com© 2014 Brandwatch.com

Nate Walton, Brandwatch

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Really big stuff has happened more than once

• Back to 2008 to get more than one US presidential election

• Back to 2008 (again) to get more than one olympics (summer only)

• Can just squeeze in 3 world cups going back to 2006

Fool me once…

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The First Time Second Time Third Time

Things about to get interesting?

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It’s (probably) the best picture we have of a social network’s growth

• Even if other big networks have good historical data, $100 says they have no great way of mining it

• Twitter is a relatively sparse - every connection counts for marketing and for analysis

• From the time before the New York Times and Lady Gaga – can we figure out whether to invest in new networks before "everybody's doing it"?

Conversation about “obama” at 10:30 this morning

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New ways of measuring influence

• Track people's contributions across time, and include consistency as a measure of influence

• Extend our understanding of how current influencers became endemic to the social network – people whose celebrity is rooted in Twitter vs just an outlet through Twitter

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Historical Data Examples

and Strategies@drskippy

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SXSW 2006-2012

(Top scale 0-4k tweets/hr; bottom scale 0-15k tweets/hr)

• 6 years of growth of Twitter and SXSW

• Main event and summer “panel picker” season

• See more detail at http://drskippy.github.io/netarcs/sxsw_stacked.png

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© 2014 Brandwatch.com© 2014 Brandwatch.com

Q & A

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Q & A

Interact and zoom at http://drskippy.github.io/netarcs/Big

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© 2014 Brandwatch.com© 2014 Brandwatch.comInteract and zoom at http://drskippy.github.io/netarcs/

https://www.mapbox.com/labs/twitter-gnip/brands

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3 Tips

1. Hypothesize, sample, analyze, visualize—repeat

2. Years of data – take into account changes in volume, language use, product names, etc.

3. Plan analysis strategies

– Mentions & frequency time series

– Natural Language Processing (NLP) – topics and sentiment

– Networks – Interactions and social graph

– Meta data – Images, links, geo-tagging

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Panel Discussion

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Q & A

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Find out more: brandwatch.com/hindsight

[email protected]

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@brandwatch

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