killing zombie online campaign myths -- with data

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ZOMBIE ONLINE POLITICS: Killing some online myths. Steve Olson Senior Strategist Trilogy Interactive @SteveOlson TRIL GY Friday, November 30, 12

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Presented by Steve Olson at Rootscamp '12, Washington DC, November 30, 2012

TRANSCRIPT

Page 1: Killing Zombie Online Campaign Myths -- With Data

ZOMBIE ONLINE POLITICS:Killing some online myths.

Steve OlsonSenior StrategistTrilogy Interactive

@SteveOlson

T R I L G YFriday, November 30, 12

Page 2: Killing Zombie Online Campaign Myths -- With Data

HOUSEKEEPING

T R I L G YFriday, November 30, 12

Page 3: Killing Zombie Online Campaign Myths -- With Data

Goals

T R I L G Y

• Knit together folks who are interested in talking about -- and sharing -- data regarding online organizing.

• Present some data to help ground what we do in some form of reality.

•Discuss your myth-busting data

• Gather ideas for future research -- and sharing of results

Friday, November 30, 12

Page 4: Killing Zombie Online Campaign Myths -- With Data

Ground Rules

T R I L G Y

• Apologies in advance for the language. I only curse because I care about you.

• Feel free to interrupt.

• Email: [email protected]

• #Roots12 #ZombieRoots

• Your mileage may vary

Friday, November 30, 12

Page 5: Killing Zombie Online Campaign Myths -- With Data

Agenda

T R I L G Y

• Zombie Politics Defined

• Online Zombie Myths

• Discussion: Next Research Steps

• Discussion: Building a Learning Infrastructure

Friday, November 30, 12

Page 6: Killing Zombie Online Campaign Myths -- With Data

WHO THE HELL ARE YOU?

T R I L G YFriday, November 30, 12

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Steve Olson (@SteveOlson)

T R I L G Y

• First Website: 1994 (first for pay: 1998)

• Field Organizer 2000

• 2002-2003 NYU Political Campaign Management Graduate School

• DCCC Online Operations (2003-2005)

• Planned Parenthood Fed. of Am. (2005-2007)

•Udall for Us All (2008)

Friday, November 30, 12

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Trilogy Interactive (2012)

T R I L G YFriday, November 30, 12

Page 9: Killing Zombie Online Campaign Myths -- With Data

ZOMBIE ONLINE POLITICS

T R I L G YFriday, November 30, 12

Page 10: Killing Zombie Online Campaign Myths -- With Data

Zombie Online Politics: A Short History

T R I L G Y

TheMonkeyCage.org

Friday, November 30, 12

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Myth: The First

T R I L G Y

Email is dead.

Friday, November 30, 12

Page 12: Killing Zombie Online Campaign Myths -- With Data

Myth: The First

T R I L G YFriday, November 30, 12

Page 13: Killing Zombie Online Campaign Myths -- With Data

Myth: The Second

T R I L G Y

Candidates who “win” on Facebook win the race.

Friday, November 30, 12

Page 14: Killing Zombie Online Campaign Myths -- With Data

Myth: The Second

T R I L G Y

• Background: We were grumpy with all the “X is beating Y on Facebook” articles in 2010

• The Hypothesis: If organizing on Facebook was an indicator of the strength of the campaign as a whole, the “Like share” should predict the share of the vote.

• The Hedging: This was 2010 data, Facebook’s users are far more representative of the voting population now. Additionally, we only had likes in 2010 -- no “talking about this” or easy engagement metrics.

Friday, November 30, 12

Page 15: Killing Zombie Online Campaign Myths -- With Data

Myth: The Second

T R I L G Y

Figure 1: U.S. Senate races

But for gubernatorial races, Figure 2, we see only a very weak correlation, as represented by the red line sloping only slightly up as you move from left to right. The strength of the campaign's Facebook presence would only explain about 0.008 of the vote margin, according to these calculations.

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Win

Mar

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FB FAN Margin

FB-predicted outcome vs. actual outcome

Win MarginPredicted Win Margin

Friday, November 30, 12

Page 16: Killing Zombie Online Campaign Myths -- With Data

Myth: The Second

T R I L G Y

Figure 2: Gubernatorial Races

For our sample of U.S. House races, we observed a slight negative correlation, meaning a stronger Facebook presence was associated with a smaller margin of victory. Figure 3 shows predicted win margin decreasing as you move from left to right.

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Win

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FB FAN Margin

FB-predicted outcome vs. actual outcome

Win MarginPredicted Win Margin

Friday, November 30, 12

Page 17: Killing Zombie Online Campaign Myths -- With Data

Myth: The Second

T R I L G Y

Figure 3: U.S. House Races

One thing all three graphs have in common is the wide scattering of the win margin plots. All three sets of data produced large standard deviations, which hints at the wide variety of factors in play in this election.

SUMMARY

Rather than seeing the statistical significance of the U.S. Senate data as validating the L.A. Times/Facebook argument, we think it comes closer to confirming that statistical significance is not the same as actual significance.

The related truism, that correlation does not imply causation, also comes into play here. Enthusiasm, for example, is widely thought to predict both Facebook following and election results. Since non-incumbent Republican candidates were more likely to benefit from enthusiasm in 2010, for example, it would stand to reason that their Senate candidates would acquire larger Facebook followings.

We at Trilogy are still enthusiastic about social media and strongly believe that smart use of tools like Facebook and Twitter is an essential component of a winning campaign. And we predict social media will be even more important in 2012. But we need to recognize social media for what they are: tools to move supporters up the engagement ladder, rather than a magic bullet that wins races. Ultimately, the return on investment is a far more complicated equation than a simple ratio of Likes to votes. After the midterms,  Trilogy’s  position  is  clear:  Campaigns should be ready to embrace highly visible online tactics

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Win

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FB Fan Margin

FB-predicted outcome vs. actual outcome

Win MarginPredicted Win Margin

Friday, November 30, 12

Page 18: Killing Zombie Online Campaign Myths -- With Data

Myth: The Second

T R I L G Y

• Results: Slightly correlated for US Senate (13% of result); no correlation for gubernatorial, slightly negative (!) for House races.

Friday, November 30, 12

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Myth: The Second (2012!)

T R I L G YFriday, November 30, 12

Page 20: Killing Zombie Online Campaign Myths -- With Data

SLOTH!!!!

T R I L G YFriday, November 30, 12

Page 21: Killing Zombie Online Campaign Myths -- With Data

Myth: The Third

T R I L G Y

You Shouldn’t Ask for Money on Social Networks

(h/t @HNachem)

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Myth: The Third

T R I L G Y

• Background: Statewide Ballot Initiative -- unusually large & active Facebook fan base

• The issue: Very active posting (3-5x per day; strong responsiveness, high quality posts), but reluctant to ask heavily. Preferred to “build the narrative”. Implicitly relying on passive fundraising via donation link on the page.

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Myth: The Third

T R I L G Y

Passive•100 gifts

•$6,186.28

•$61.86 average

Active• 40 asks

• 1,064 gifts

• $73,317.50

• $68.91 average

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Myth: The Third

T R I L G Y

$84,021.78 raised in six months on Facebook.

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Myth: The Third (kicker)

T R I L G Y

$1,848,635.94 raised online 4.54% from Facebook

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Myth: The Fourth

T R I L G Y

You Shouldn’t Ask People to Retweet You

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Myth: The Fourth

T R I L G YFriday, November 30, 12

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Myth: The Fourth

T R I L G Y

source: DanZarrella.com / Hubspot.com

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Myth: The Fourth

T R I L G Y

source: DanZarrella.comHubspot.com

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BABY OTTER PILE!

T R I L G YFriday, November 30, 12

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Myth: The Fifth

T R I L G Y

Email the list this video: We’re going to raise a ton!

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Myth: The Fifth

T R I L G Y

The Test: Does placing a lightbox callout AFTER a video raise more money than placing a video on a donation page?

• CONTROL

• Sent: 44,683

• Donations: 23

• Total Raised: $900 ($39.13 avg)

• TEST

• Sent: 44,875

• Donations: 69

• Total Raised: $2,346

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LET’S DO THIS.

T R I L G YFriday, November 30, 12

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Stay in touch

T R I L G Y

[email protected]@SteveOlson

facebook.com/stevenkolson

Friday, November 30, 12