Marketing is evolving. At times faster than some of us can keep up. Every good marketer can attest to the complexity of managing multi-channel execution; fragmented data, fragmented solutions, and ultimately, a fragmented customer experience. Execution is hard enough, but then there’s measurement and justification of marketing spend across channels. Is the data available across channels? Is the level of granularity on analysis actually useful for campaign optimization?
9. Which of the following are you currently leveraging in your digital marketing
platform?
Percentage (All Respondents)
Trigger Email Campaigns 23%
Mulit-Channel Campaigns 58%
CRM Integration 67%
Drip Email Campaigns 76%
Batch Email Campaigns 85%
0% 20% 40% 60% 80% 100%
* Campaign Management Survey 2012 n= 208
#BigData
10. •
Multiple Systems Supporting Marketing
Social Landing Paid
Media Email Marketing Page
Search
Marketing Hosting
Web eCommerce/
Analytics Website
Mobile
#BigData 10
11. •
•
Multiple Systems Supporting Marketing
?
Email
Social Landing Paid
Media Email Marketing Page
Search Website
Marketing Hosting
Landing Page
Web eCommerce/ Mobile
Analytics Website
Mobile
Social
?
#BigData 11
12. •
Multiple Systems Supporting Marketing
Social Landing Paid
Media Email Marketing Page
Search
Marketing Hosting
CRM Web
Analytics
eCommerce/
≠
Website
Mobile
#BigData 12
13. Does your organization regularly make marketing decisions using
measurement and data?
Top Performers Everyone Else
Yes Yes
39%
65%
#BigData 13
14. Did tangible ROI inform marketing
decisions during 2012?
No
Yes 72%
28%
#BigData 14
29. CMOs can easily approve new sources of data with the swipe of a
credit card so strategy becomes critical to managing big data.
#BigData 29
30. CMOs can easily approve new sources of data with the swipe of a
credit card so strategy becomes critical to managing big data.
Cha-Ching:
Cha-Ching:
Instant Web
Instant Email
Analytics
Marketing
Cha-Ching:
Instant Social Media Marketing
Cha-Ching:
Instant eCommerce
#BigData 30
31. CMOs can easily approve new sources of data with the swipe of a
credit card so strategy becomes critical to managing big data.
Cha-Ching:
Multi-Channel Digital
Marketing Platforms
#BigData 31
41. •
– Ability to translate business insights into strategic
recommendations
– Willingness to seek analytical answers
– Possibly new roles for some organizations
• Marketing Scientist
#BigData 41
42. •
– Demonstrate a long term strategy for customer data
•
#BigData 42
47. •
– Propensity to purchase given time of day
– Optimal channel strategy given time of day
• Late at night: Email
• During the day: Phone/Mobile
– “Pull” campaigns with lead nurturing
•
– Reach, Frequency, & Monetization?
– Mobile + Email, Just Mobile?
– Conversion: Sales, Clicks, Information Consumption?
#BigData 47
48. Product
Insights
Testing R&D
Pricing
Big Campaign
Optimization
Data
Offer Marketing
Optimization Mix
Competitive
Insights
#BigData 48
52. Deep Dive: The Future of Marketing Analytics and the
Power of Big Data
(November 2012)
Download for free at
www.gleanster.com
http://www.gleanster.com/reports/reports/the
-future-of-marketing-analytics-and-the-power-
of-big-data
#BigData 52
CMO’s feel unprepared for the amount of complexity they face.
Aesop's Fables, translated by Laura Gibbs (2002)457. THE HUNTERS AND THE DEER WITH ONE EYE Perry 75 (Chambry 105 *)There was a deer who had lost an eye, so she lived on the shore, keeping her good eye towards the land, looking for hunters. Meanwhile, she turned her blind eye towards the sea, since she did not expect any danger from that direction. Then some men came sailing by, took aim, and shot the deer. The deer bewailed her fate, since she had been afraid of something that didn't affect her at all, while she was undone by something she didn't even think was dangerous. The fable shows that the things we think are harmful turn out to be helpful, and the things we think are helpful turn out harmful.