際際滷

際際滷Share a Scribd company logo
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Welcome to the Matrix
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Predictive
Analytic
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Predictive
Behavior
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Conversion
Per Sale
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Personalization
B辿b辿 laptop
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Digital Age
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Mass Market
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CORPORATIO
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Device Cloud
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On the internet, we do not sell,
the consumer purchases
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Mix of Pull & Pull Tactics
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PushPull
Inbound (Pull) vs. Outbound (Push)
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Operational Processes E-marketing
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MarCom Interaction
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Customer Life-time Value (CLV)
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(margin)(retention)
(1+Cost of Capital)t
CLV= 裡
Segmentation
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Homogeneous segment?
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Marketers create segments to identify and
reach the right people at the right time
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24息 OTIUM-CSR
Customer Insight
25息 OTIUM-CSR
Targeting (ROI)
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Price Discrimination
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Predictive Behavior Modeling
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Predictive Behavior Modeling
Simplest one RFM model: Recency, Frequency, Monetary
- Recency - How recently did the customer purchase?
- Frequency - How often do they purchase?
- Monetary Value - How much do they spend?
Web-based (SaaS, massive datasets)
- Continual dynamic micro-segmentation
- Customer lifetime value (LTV) forecasting
- Mathematics
- Secret sauce
*LTV is the predicted sum of all future revenues
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Personas
Personas are specific archetypes of people in the target
audience
Persona is a digital identity constructed by a presentation
of oneself
With micro segmentation personas are constructed to be
representative of specific segment
Personas are representations of a cluster of users with
similar behavior
Variety of sources, such as usability testing, surveys, field
studies, interviews, behaviors, goals, motivations and
market research
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Personas
Personas are specific archetypes of people in the target
audience
Persona is a identity constructed by a presentation of
oneself
With micro segmentation, personas are constructed to be
representative of specific segment
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Brainy Smurf Smurfette Diane von Smurfstenburg Jokey Smurf
息 OTIUM-CSR
Digital Marketing Funnel
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Acquisition Landing
Page(s)
Content
Conversation
Conversion CRM Retention Loyalty
Unique Audience
Active Reach 10-30%
(Call to act)
Add-to-card 5-8%
Sales conversion rate 1-3%
Online Media Mix model
based on % budget - with example of 'average' clickthrough rates
Setup/
creative
/Mgt costs
CPM CPC Media
costs
Total cost Budget
%
Impressions
or names
CTR Clicks or
visits
CRO nOpportu
nities
CPO CRS nSales % of
sales
CPS
(CPA)
External online media
Online ad buys (CPM) 0  5  1  10,000  10,000  10% 2,000,000 1.0% 20,000 10.0% 2,000 5  1.0% 20 3% 500 
Ad network (CPC) 0  2  2  20,000  20,000  20% 10,000,000 0.1% 10,000 10.0% 1,000 20  1.0% 10 2% 2,000 
Paid search (CPC) 0  #DIV/0! 2  30,000  30,000  30% #DIV/0! 15,000 10.0% 1,500 20  1.0% 15 2% 2,000 
Natural search (Fixed) 0  #DIV/0! 0  5,000  5,000  5% #DIV/0! 100,000 10.0% 10,000 1  1.0% 100 16% 50 
Affiliates (CPS) 0  #DIV/0! 0  5,000  5,000  5% #DIV/0! 500,000 10.0% 50,000 0  1.0% 500 78% 10 
Aggregators (CPS) 0  #DIV/0! 0  0  0  0% #DIV/0! 0 10.0% 0 0  1.0% 0 0% 20 
Sponsorships (Fixed) 0  100  0  10,000  10,000  10% 100,000 0 10.0% 0 0  1.0% 0 0% 0 
Online PR (Fixed) 0  10  0  1,000  1,000  1% 100,000 0 10.0% 0 0  1.0% 0 0% 0 
E-mail lists (CPM) 0  10  0  5,000  5,000  5% 500,000 0 10.0% 0 0  1.0% 0 0% 0 
Twitter 10,000  1,000  1%
Retargeting 5,000  5%
Social Media 8,000  8%
Total/Average 10,000  #DIV/0! 0  86,000  100,000  100% #DIV/0! #DIV/0! 645,000 10.0% 64,500 2  1.0% 645 100% 155 
Media costs Conversion to Opportunity Conversion to SaleMedia volume/response Revenu
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E-commerce
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Too Much Information Hurts Us
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Sales Conversion Rate
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AutomationUpselling
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Personalization

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