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Big Data, Big Revenue: How Big Data Means Millions for Marketing
1. Big Data, Big Revenue: How Big
Data Means Millions for Marketing
Jon Miller
Rosanne Saccone
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15. Pentaho Corp
Enabling the modern big data driven business
Business Analytics for all Data
Any
Analytics
Any
Data
16. We all know the amount of data in the
world is growing exponentially
17. Big Data Opportunity for Marketers
Seamlessly connecting to relevant customer activity
Powerful Insights from Combined Data
18. The Value of Big Data
Marketing related use cases
Drive incremental revenue
• Understand and monetize customer behavior
• Personalize customer experience
• Predict customer behavior across all channels
19. Big Data Driven Marketing Use Cases
Big data combined with operational data
ONLINE RETAILER
ON-LINE ADVERTISING
Understand buying
patterns of five million
users via click stream data
Real-time analysis of customer
data for personalized offers &
targeted advertising
GAMING
TRAVEL/ENTERTAINMENT
Better monetization of
premium game features via
player data analysis
Enable thousands of travel
partners to improve
promotional targeting
SOCIAL COMMERCE
Better campaign performance
via analysis of social
media, page clicks and email
data
CUSTOMER LOYALTY
Enable customer behavior and
social media driven marketing
& rewards programs
20. So why doesn’t everyone take
advantage of big and diverse data?
IT IS HARD
• Big data technology is immature
• Few big data coding experts
• Use case must be clear
21. Leverage Your Company’s
Big Data Projects
Find where the data lives and get the right tools
DECIDE & ACT!
Analytics
Customer
Sales
Operational
Data
Store/Analyt
ics
BLEND
Relevant
Data OnDemand
Marketing
Social
Website
Find Optimal
Campaign and
Promotion Mix
Big Data
Store
Understand Best
Marketing
Activities and
Interactions
22.
23. Metrics that Matter
Get a seat at the table: Know impact to business goals
Drive Net New Business
1. Marketing Qualified Leads (MQLs)
2. Sales Accepted Opportunities (SAOs)
3. MQL to SAO Conversion Percentage
Drive Thought Leadership
4. Share of Voice
5. Press and Analyst Influence
24. BUT, Metrics Data Lives in
Various Sources
Each data set is an important part of the total picture
SOCIAL & WEBSITE
LEADS &
OPPORTUNITIES
PIPELINE & BOOKINGS
FORECAST
Marketing Forecast Model
WW Net New Amount
Non Core Net New
Amount
Target Net New
$1,750,000
$0
$1,750,000
Plan Date
SAO 5% Distribution
Goal
%
CarryOver
Open Units
Units
Historical Average Historical Close
Deal Size
Rate %
$28,000
Historical
CarryOver %
0%
Forecast Accumulated Close Rate
Units
Units
%
15%
Lost %
85%
Forecast
Win Units
Average
Deal Size
Forecast Net
New Amount
Dec-01-2012
200
14.4%
38
306
29
373
15%
56
50,000
$2,796,273
Jan-01-2013
200
16.3%
56
48
61
165
15%
25
50,000
$1,239,812
Feb-01-2013
200
20.3%
25
50
102
177
15%
27
50,000
$1,326,149
Mar-01-2013
260
15.9%
27
53
142
222
15%
33
50,000
$1,664,255
Apr-01-2013
260
10.1%
33
2
172
208
15%
31
50,000
$1,557,471
May-01-2013
260
7.1%
31
3
199
233
15%
35
50,000
$1,746,635
Jun-01-2013
310
5.4%
35
8
226
269
15%
40
50,000
$2,018,854
Jul-01-2013
310
2.6%
40
3
246
289
15%
43
50,000
$2,167,950
Aug-01-2013
310
3.1%
43
1
266
311
15%
47
50,000
$2,330,184
Sep-01-2013
400
2.7%
47
296
342
15%
51
50,000
$2,568,541
Oct-01-2013
400
1%
51
319
372
15%
56
50,000
$2,786,521
Nov-01-2013
400
0.8%
56
344
400
15%
60
50,000
$3,000,862
60
323
383
0%
0
28,000
$0
Multiple reports hard to manage
Dec-01-2013
120
0.3%
Forecast Snapshot Date : 12/01/2012
Sales Country Type : 'Core'
1
Rate Period : 10/01/2012
Sales Region : '*ALL*'
Tue Dec 11 02:48:22 EST 2012
25. Our Approach – Blend and Analyze
Assess Impact of Campaigns from Various Data Sources
Focus on Highest ROI: Optimize Limited Marketing Resources
Analytics
Operational
Data
Store/Analyt
ics
BLEND
Relevant
Data OnDemand
Big Data
Store
Manage Optimal
Campaign & Content
Mix by Target Audience
Understand Marketing
Campaigns that Drive
Closed Won Deals
26. Monitoring Trends to Make an Impact
Big data, small data blended for full picture
27. We Start with Booking Goals
Expect to manage the entire marketing/sales flow
• Leads by Campaign Types
• 20 Major Nurturing Tracks: 6 – 10 Touches
• Lead Conversion to Sales Opportunity
• Nurturing Effectiveness
• Opportunities across Sales Stages to Closed
• Effectively Forecast Sales Results
Revenue Foundation:
Must be Timely, Accurate
and Actionable
28. Blend Key Sources that Matter
A single view into the health of Pentaho
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•
•
•
•
Ads
Events
Software Trials
Social
Forums
How do I target and
influence my most
ready-to-buy
prospects?
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•
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•
Email
Website
Search
Webinars
…
29. Gain Insight into the Funnel
Four fundamental metrics to understand deeply
MQLs to SAOs
1. How do MQLs move
thru the lead funnel?
• 20% - Current Month
• 30% - Next Month
• 50% - Next 3 Months
Expected close date
2. How do created SAOs
impact pipeline?
• 32% - Current Qtr
• 27% - Previous Qtr
• 41% - Prior to that
Close won %
3. How much pipeline is
closed won?
• 15% - Current Qtr
• 26% - Previous Qtr
• 10% - Prior to that
Deal Size
4. What’s average deal
size?
• $200k - Current Qtr
• $250k - Previous Qtr
• $375k – Prior to that
30. The Rest is Math
Waterfall effect of how leads created drive future pipeline
Qtr
Pipeline
Needed
SAOs
Created to
Date
Gap
MQL
Created
Current Qtr
Current
Qtr
1,250
1,000
250
250
Qtr +1
1,500
1,000
500
Qtr +2
2,000
500
MQL
Created
Qtr +1
1,500
MQL
Created
Qtr +2
350
Need to create 250 + 350 + 800 = 1,400 MQLs
in the current quarter
800
Our #1 secret is that we believe that buying has changed forever, and that marketing and sales need to change as well.Not that long ago, there were few 3rd party sources of information – information scarcity – which meant that a buyer had to get most of their information from sales. In this world, it made perfect sense for marketing to pass all leads over to sales. It also meant we lived in a world of attention abundance, with fewer channels competing for a buyer’s attention. Traditional marketing, characterized by Mad Men-style marketing, grew up in this era.
But now, there is an explosion of readily available information… According to IBM, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.This is a recent phenomenon…When Marketo was founded in 2006, the iPhone didn’t exist, Twitter had not launched, and Facebook was only for college students. All this data = buyers today are more empowered. The Web provides them with instant information gratification. They can access detailed specs, pricing, and reviews about goods and services 24/7 with a few flicks of their thumbs. Meanwhile, social media encourages them to share and compare, while mobile devices add a wherever/whenever dimension to every aspect of the experience. Result: Forrester Reports that 65-90% of buying process is complete when consumer is walks into store/branch/dealer, or contacts salesRequires deep changes in how we market to consumers. That’s how we approached our marketing process at Marketo.
Your consumer is like a sponge, and all those marketing messages are like the water.How do you ensure that your message is the one of the 4 that get absorbed into the sponge? After all, a potential buyer can only absorb so much, and your competitors are vying for their attention too.
We’ve moved from a manufacturing economy to an experience economy. Today, businesses have to create amazing, memorable experiences, rather than simply delivering reliable products at the right price. But this is more critical than ever in a world awash in instantaneous, high-volume information delivered through every conceivable channel.While oil fueled the manufacturing economy, data is the fuel that drives the experience economy. But unlike oil, data is increasingly abundant. In some cases, it’s overwhelmingly abundant–leading to the phrase “Big Data”.
Icons are nice and the build-order is great!My suggestion the top 3 icons on the left-hand side:CustomerProvisioningBillingSuggestion for the bottom 3 icons:WebNetworkSocial Media(note: Location seems to be important to AT&T but we can just mention this)I need to come up with an explanation for why the arrow below “Just in Time Integration” is bi-directional instead of just flowing to Analytics
Many marketers are perceived as a cost center. You can’t expect your organization to place value on something you’re unable to quantify. But when you do use the right metrics and processes, there is nothing more powerful to help marketing earn it’s rightful seat at the revenue table.Here I show you how Marketo does it.
Here we see what works for Marketo over the last 12 months to generate prospects. Explain columns…Website+Blog = 38% of all oppsBut I’d be a bad stock picker if I put all my money in one stock, and I’d be a bad marketer if I bet all my prospect generation on one source. The reality is you need a portfolio of prospects and channels to achieve the best results. In fact, Marketo runs an average of 40 different Prospect generating programs each and every month across all these sources.
ModelNote Success Path and Detours; Inventory and SLAs