das soti presented by nextmark: what we love, hate and desire in our digital media jobs
TRANSCRIPT
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What We Love, Hate and Desirein Our Digital Media Jobs
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Feedback
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About the Survey• Goal to determine drivers and effects of job satisfaction in
digital media industry• Digiday polled its opted-in base of leading digital media and
marketing professionals • Incentive: chance to win 1 of 5 $100 AMEX Gift Cards• Results gathered over 3 weeks
– February 11 – March 3, 2012• 601 Respondents
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How We Analyzed the Results
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• Multiple regression analyses were conducted to identify the most important predictors of Industry Job Satisfaction
• New variables were introduced to rinse and condense the information present in survey questions
• Explored using both interval scale and dummy variables. In the end, we used dummy variables for our analysis
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The Results
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We’re Generally a Happy Group
Miserable Unhappy Satisfied Enjoy Love
6.515.1
19.9
50.7
7.8
Rate Your Happiness78.4%
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And We’re Getting a Bit Happier
Much Worse Worse Same Better Much Better
4.8
19.4
40.0
26.2
9.5
Change in Happiness in Last 12 Months
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What we LOVE about our jobs
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What We Love about Our JobsWe love the people and the dynamic nature of the business
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What we HATE about our jobs
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What We Hate about Our JobsWe hate the some of the people, the work, and the long hours
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We’ve Been Loyal to Our Employer
<1 year 1-2 years 3-4 years 5-10 years >10 years
9.8
34.1
22.4 23.6
10.2
Time in Current Job
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But Not Because We’re Happy
<1 year 1-2 years 3-4 years 5-10 years >10 years
3.22 3.33 3.52 3.37 3.53
Happiness by Time in Current Job 6.3% correlation (weak)
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2/3 of Us Plan to Leave in Next 2 years
Actively looking Next Year or Two Five Years Lifer
19.3
42.7
30.6
7.5
Percent by Commitment
62.0%
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We’re Leaving Because We’re Unhappy
Actively looking Next Year or Two Five Years Lifer
2.3
3.43.9 4.1
Happiness by Commitment Level 52.2% correlation (strong)
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Who is Unhappy?
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First, what doesn’t correlate with job happiness
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Both Sexes Equally Happy
Male Female
3.30 3.48
Happiness by Gender 8.9% correlation (weak)
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We Work Hard
<20 20-29 30-39 40-49 50-59 60-69 70-79 80+
0.7 0.5 1.8
33.1
41.4
16.9
3.2 2.5
Percentage by Hours Worked
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Long Hours Don’t Make Us Unhappy
<20 20-29 30-39 40-49 50-59 60-69 70-79 80+
3.00 3.00 3.09 3.39 3.35 3.39 3.474.07
Happiness vs. Hours Worked 7.8% correlation (weak)
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We Feel Underpaid
Gulag Worker Underpaid Fair Overpaid Top of field
5.5
32.7
50.7
6.0 5.1
Rate Your Compensation
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But Money Doesn’t Buy Happiness
Gulag Worker Underpaid Fair Overpaid Top of field
2.9 3.13.6
3.23.8
Happiness by Compensation 20.6% correlation (medium)
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Tenure Doesn’t Matter Much
<1 year 1-2 years 3-4 years 5-10 years >10 years
3.40 3.20 3.36 3.35 3.54
Happiness by Time in Industry 8.8% correlation (weak)
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Role Doesn’t Matter Much Either
Advertiser Agency Publisher Tech / Service Provider
Other
3.29 3.213.58 3.54 3.46
Happiness by Role 11.7% correlation (weak)
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Now, here’s what does correlate with job happiness
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Location makes a difference
Dallas
Chicago
NYC Area
Los A
ngeles
Philadelphia
Boston
Minneapolis
Seatt
le
San Fr
ancis
co
Washingto
n, DC
Atlanta
2.80 3.21 3.24 3.40 3.45 3.48 3.50 3.57 3.62 3.71 4.00
Happiness by Location
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20-somethings Least Happy
20-29 30-39 40-49 50-59 60+
3.19 3.40 3.59 3.53 3.50
Happiness by Age 12.5% correlation (weak)
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We Are Unhappiest in Lower Ranks
Junior Leve
l / Asso
ciate
Manag
er / Acct
Exec
Team Le
ader
Directo
r / Su
perviso
r
VP / EVP
Divisio
n Chief
C-Leve
l / Publish
er
Owner/Part
ner
3.09 3.08 3.33 3.38 3.67 4.21 3.73 3.94Happiness by Seniority 25.4% correlation (medium)
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Underlings Make Us Smile
0 1-10 11-20 21-50 51-100 101+
3.25 3.34 3.56 3.78 3.794.40
Happiness by # of People Managed 16.4% correlation (weak)
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Training Makes Us Happy
Drowning Need Help Adequately Trained
Maestro In My Sleep
2.442.78
3.35 3.65 3.33
Happiness by Preparation for Current Job 20.5% correlation (medium)
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A Career Path Makes Us Even Happier
2.22 2.91 3.47 3.77 3.89Happiness by Opportunity for Advancement 42.0% correlation (strong)
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focus on lower ranks withtraining + opportunities
-> happiness-> retention
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Other Interesting Findings
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Advertiser Perspectives
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Advertisers like their Agencies
Terrible Below Average Average Above Average The Best
10.0
17.5
35.030.0
7.5
Rate Your Media Agency72.5% rated at or above average
Agencies are from Lake Wobegon
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If advertisers had a magic wand…
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Advertisers want agency partners who lead with good experience
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Publisher Perspectives
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Publishers Not Fond of Media Agencies
Horrible Bad Average Pros Fantastic
3.1
34.0
56.8
5.60.6
Rate The Media Agencies You Deal With
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Because They Are Frustrated
Would Rather Sell Around
Them
Just Buy Same Things bc Easy
Repackage My ideas
Innovative / Open to Ideas
They Help Me Sell
23.9
40.3
17.011.3
7.5
Describe Your Working Relationship with Agencies
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If publishers had a magic wand…
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Publishers want agencies to be creative, understand, and communicate
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Agency Perspectives
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Agencies Love Microsoft Excel
Never <15 Minutes 15-60 minutes 1-4 hours >4 hours
1.8 1.27.9
54.3
34.8
Time Spent in Microsoft Excel
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Agencies Use Excel to Make Media Plans
Symphony MediaMind iDesk MediaVisor Excel
1.3 4.5 8.4 9.7
76.1Tool for Creating Media Plans
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Agencies Use comScore for Research
Quantcast Alexa Compete Other Nielsen comScore
1.3 1.9 5.0 9.4 12.5
70.0
Tool for Research
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Agencies Use DFA for Ad Serving
Zedo Mediaplex Atlas Other MediaMind DFA
0.64.5 7.6
11.5
21.7
54.1Tool for Ad Serving
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Most Agencies Not Happy With Tools
Bad Mediocre Good Double Rainbow
7.9
51.5
38.2
2.4
Rate Your Tools59.4%
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If agencies had a magic wand…
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Agencies want better clients, better work, better tools, and fewer hours
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76.1%
Email Excel FileSharing
Research
Ad Serving
Buying / Billing
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replace excel
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Buying / Billing
Research
Ad Serving
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You Get Detailed Publisher Info
7,500+ sites
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more powerful AND easier to use
It’s better than Excel
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and it’s free
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GruntWorker
KnowledgeWorker
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Digital MediaHappiness Project
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www.NextMark.com/planner
ChrisChris O’Hara
CRO
ChrisChris DeMartine
Director of Biz Dev
JoeJoe Pych
Founder & CEO
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Gift Card Winners
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