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Managed Marketing
Services (MMS)
Moving from tactical to strategic
Analytical marketing

20 May 2008




    	   20	May	2008                CEQUITY	Confidential
Managed	Marketing	Services
                                             Business
                                            Transaction
                                               Data




                                          Analytics		
                                         	Campaign	
                                         management

                     Market	research		                    Competitive
                       	Lifestyle		                        Data
                        indicator		
                          data




     We	support	data	based	decisioning	by	providing		ACTIonABLE	AnALYTICS™	using	
       enterprise	and	external	data	in	a	MAnAGED	MARKETInG	SERVICES	model.
2	     20	May	2008                                                       CEQUITY	Confidential
CEQUITY	offers	a	range	of	Managed
Marketing	Services
                                              Cequity	—	our	service	offerings

          Envision                 Explore                  Extract                Enable                Empower


     Customer Management     Managed Analytics/       Custom Database        Managed Marketing      Marketing Operations 
     Consulting              Campaign Services        Design Solution        Services               Measurement services
     ß	Customer	             ß	Customer	Analytics     ß	Build	Databases      ß	Campaign	Services    ß	Measurement	
       Management	           ß	Digital	Analytics      ß	Manage	databases     ß	Event-trigged	         frameworks
       framework             ß	Campaign	Design		                              Services		           ß	Dashboards
     ß	Customer		              Execute                Loyalty Marketing        on-boarding
       on-boarding           ß	Campaign	Tracking		                          ß	Lead	Generation		
                                                      ß	Loyalty	Analytics
     ß	Customer	Lifecycle	     RoI                                             Management
       Management
                                                      ß	Managed	Loyalty	
                                                                             ß	Managed	Service	
                                                         Campaign	services
                                                                               Solutions
     Data Quality                                                            ß	Managed	Channel	
     And Information                                                           Solutions
     Management




	       20	May	2008                                                                                       CEQUITY	Confidential
Tools	and	Techniques


     Modeling and               Business                Performance                Data Management           Enabling
     Optimization               Research                Analysis                   quality                    Operations
 ß Forecasting                 ß Market	Mix	modeling   ß Customized	reporting     ß Data	quality	audits     ß Database	Hosting	
 ß Customer	Lifetime	          ß Benchmarking,         ß Univariate	/	            ß Creating	Design	of		       services
      value                    ß Financial	Impact	        Multivariate	analyses      Experiments
 ß Return	on	Marketing	          modeling              ß Pareto	analyses          ß Data	cleansing		
      investment	                                      ß Trend	analyses              classification
      optimization
 ß    Survival	analytics
 ß    Regression




                                                       Business	Applications




          Demand Management                Supply Management                                          Strategy simulation
                                                                       Financial Analytics
          Analytics                        Analytics                                                  Analytics




                                Supporting	data-driven	business	decision	process

                           How	can	clients	quickly	obtain	the	infrastructure	and	skill-set
                                    required	to	deploy	an	analytics	solution?
	      20	May	2008                                                                                                CEQUITY	Confidential
Managed	Marketing	Services		
Success	Stories
ß    S
     	 hopping	basket	analysis	and	cross-sell	optimization	for	the	Grocery	Retail	
     business	to	improve	targeting	and	conversion	efficiency
ß    R
     	 eturn	on	Marketing	Investment	for	packaged	consumer	goods	companies	for	
     optimal	allocation	of	marketing	budget
ß    C
     	 ustomer	Segmentation	and	Churn	Analysis	for	a	renowned	telecom	
     company
ß    Predictive	models	for	Cross	sell		up	sell	programs	for	a	financial	Institution
ß    H
     	 igh	Frequency	Store	PoS	data	analysis	for	new	product,	promotional,	
     purchase	timing	etc.	for	packaged	consumer	goods	companies
ß    L
     	 arge	Scale	up	in	Campaigns	,both	in	terms	of	complexity	and	volume	for	a	
     very	large	Retail	Bank




	   20	May	2008                                                             CEQUITY	Confidential
Cequity	-	Managed	Marketing	Services	Solutions
Cequity‘s	Managed	Campaign	services	solutions	allows	clients	to	offshore	their	key	customer	
marketing	processes	to	a	partner	who	can	flexibly	bring	“best	in	class”	skills	sets	to	the	entire	customer	
marketing	process.	Cequity	supports	campaign	management		marketing	decisioning	by	bringing	
the	client’s	data	into	a	managed	services	framework	which	allows	the	client	to	rapidly	scale	up	their	
Customer	marketing	efforts.	
Cequity	also	brings	a	robust		stage	Campaign	management	process,	Smart	campaigning™,		
which	helps	clients	rapidly	scale	up	their	Customer	marketing	efforts.	


                                                                                                  e 	
                     Tra
                         ns                                                                 p ons
                           act                                                       	R  es
                              ion                                                ign
                                 	Da                                          pa
                                      ta                                   am
                                                                          C ta
                                                                           Da
                                                   Smart	Campaigning	™	
                                                       Action	basis		
                                                     Customer	insight

                                        ry 					
                                 co nda                                   Ca
                                                                            mp
                           l/ 	Se s                                            aig
                                                                                   n	B
                      e rna urce                                                      lue
                   Ext a	so                                                               prin
                    dat                                                                         t


	   20	May	2008                                                                                        CEQUITY	Confidential
Actionable	Analytics	framework™

     Situation Analysis                           Behavioral Segmentation                         1 to 1 Plan


                                                                                                  Behavior
                          Customer Scoring Model                                             Optimisation Matrix
                          • Absolute Scores                                                     / 1-to-1 Plan
         Business
         Objectives       • Relative Scores                                                • Portfolio level Objectives
                          • Predictive Scores                                              • Possible actions to
                          • Historical Scores                                               bridge Behaviour Gap



                          Customer Portfolio Map (different score/behavior combinations)
                          • Multiple Portfolios                                                Data-BO Matrix
          ROI Map         • Portfolio Characteristics                                          BO-Data Matrix
                          • Portfolio Behavior trends
                          • Portfolio Opportunities  Value
                                                                                                    Iteration




                          Behavior Gap Analysis (for each Portfolio)
        Existing
      Customer Data           Current                     Ideal              Resultant
                              Portfolio                  Portfolio             ROI             Campaign Lists
                                                GAP                                              Offer Ideas
                              Behavior                   Behavior           Opportunity



	      20	May	2008                                                                                     CEQUITY	Confidential
Typical	Marketing	needs	across	Industry


                                      ¬
  Explore                                      Extract
 ß Which	market	should	I	play	in?             ß How	will	it	be	profitable?
 ß What	should	be	my	products?                ß How	to	generate	good	leads?
 ß What	is	my	demand?                         ß Make	my	Sales	team	more	
 ß What	is	competition	doing?                   effective?
 ß How	much	will	my	customer	value	           ß Which	Channels?
   my	services?                               ß What	price	should	I	set?




                                                                      ¬
                          Customer	Life	Cycle
¬

  Empower                                      Enable
 ß How	profitable	are	my	customer	            ß How	can	I	reach	my	customer	
   strategies?                                  across	multiple	channels?
 ß Can	I	build	Customer	lifetime	             ß How	do	I	analyze	customer	
   value	approaches	to	manage	my	               behavior	to	make	my	offers	more	
   customers	better?                      ¬     relevant?
                                              ß How	do	I	scale	up	my	Marketing	
                                                processes	to	campaign	to	my	
                                                customers	in	a	seamless	way?



8	   20	May	2008                                                                   CEQUITY	Confidential
to	address	c lient	needs
     Bread th	of	services
                                                               Extract
                                                                           ting	Models
              Explore                                        ß Target	Mk
                                                                          	Mgmt.
                              ence                           ß Campaign
         ß    Market	Intellig                                ß Price	Sett
                                                                          ing
                             ence                                        ix	Model
         ß    Comp.	Intellig                                  ß Market	M
         ß    Price	Tracking                                  ß Sales	Effe
                                                                           ctivess
                             Strategy
          ß   Product	Dev.	                                   ß offer	opti
                                                                           misation
                              entation
          ß    Market	Segm                                     ß CLTV	Mo
                                                                           deling

                                                                     Empower
                   Enable                                       ß    Credit	Scorin
                                                                                   g
                            -sell                               ß    Loss	Model
              ß X-Sell,	Up                                           Collections	S
                                                                                   trategy
                            odel                                ß
              ß Attrition	M                                          Fraud	Detecti
                                                                                    on
              ß Loyalty	S
                           corecard                              ß
                             Sat.	Study
               ß Customer	          entation
               ß C ustomer	Segm
               ß Trigger	M
                            arketing
                                               nagement
                             P rofitability	Ma
                ß Customer	




	   20	May	2008                                                                             CEQUITY	Confidential
Through	utilising	CEQUITY’s	Managed
Marketing	Services…
…Clients	are	able	to	increase	speed	to	market	with	minimal		
capital	investments
ß	CEQUITY	offers	a	managed	service	model	which	allows	Clients	to:

	     −		 inimise	capital	expenditure	technology	
        M                                                                                                                                                                                −			 everage	the	skills	and	expertise	of	CEQUITY’s	
                                                                                                                                                                                            L
        investments                                                                                                                                                                         Analytics	Services	practitioners
                                                                                                                                                                                                                                      0%
                                                                                                                                                                                                                                    Consulting
	     	       Clients	Transactional	Data	–                                                                                                                                                          0%                  %
	     	       Customer,	vendor,	SCM,                                                                                                                                                                Phd                Marketing

	     	       Marketing	Solicitations,                                                                                                                                                         20%           0%
                                                                                                                                                                                                                                                   2%
                                                                                                                                                                                                                                                   ITES
	     	       Product	Data,	Financial	Data                                                                                                                                                     Masters       MBA
                                                                                                                                                                                                                                   2%
                                                                                                                                                                                                    0%                            Analytics
                                                                                                                                                                                                                                                   20%
	     	       External/Secondary	Data                                                                                                                                                               BSc	/	
                                                                                                                                                                                                                                                   IT
                                                                                                                                                                                                    Engg.                                 %
	     	       Prospect	List/reference	Files                                                                                                                                                                                               others


              CEQUITY Managed Analytics Platform                                                                                                                                                                          Business	Research
                                                                                                                                                                                                                          Modeling	
                                                                                                                                                                                                                          Performance	Analysis
                                                                                                                                                                                                                          Primary	Research
                                                                                                                                                                                                                          Process	Support
                60
                                                                      Apples
                                                                                     120                                                                                                                                  Management	/	Solutions
                                                                                     100                                                                                 S. California
                50                                                    Bananas
                                                                                                                                                                         C. California
                                                                                      80
                40
                                                                                                                                                                         N. California
                                                                                      60
                30




                                                                                                       tive
                                                                                      40
                20
                                                                                      20
                10
                        Jul    Aug    Sep   Oct   Nov    Dec                           0
                                                                                               A   B   C   D   E           F




                                                                                                   tra
                                                           llus
                                                                                           C
              Jan
                                                                                           B
                                                                                                                                                                       1990




                                                                                                                                                                                         ß	members	onboard
                                                   I
                                                                                                               Product A
                                                                                           A                                                                           1980

                                                                                                                                                                       1970
              Feb                                                                                              Product B




              Mar
                                                                                                               Product C


                                                                                                                           0   10   20   30   40   50   60   70   80                     ß	Ramp-up	to	00+	by	end	0
                    0         50     100    150    200         250   300       350




0	   20	May	2008                                                                                                                                                                                                                                CEQUITY	Confidential
MMS	End	to	End	Campaign	Solution
        Internal/External               Hosted	Environment                      External

                                                   STAGInG



                             ª
                                SFTP   Raw	Files:
         Customer	Details              •	Consumer	details
        registration,	Profile          •	Transaction	details              Promotions	by	Channel
         updates,	Surveys              •	Reactions	
                                       •	Survey	updates
                                       •	Reference	files




                                                                     TP
          Transaction	Data




                                                             ª      SF
                                                      Current	
                                                      Promotions	
      Reactions	to	Promotions             Current	Promotions                Customer	relations


           Reference	Files
                                       ETL		DQA

                                               oDS/DW
                                                                              X
                                                      Campaign	
                                                        Mgt

                                                                  X           https




                                                                           [
                                       Consumer	Integrated	data

                                        Shared	hub
	    20	May	2008                                                                      CEQUITY	Confidential
A	Proof-of-Concept	engagement	is
proposed	to…
…demonstrate	the	business	value	to	our	clients
ª
ª
ª
ª
                                                                                                    Benefits of MMS
      Scope Definition       Data  Systems                                  Analyze Business        ß		 inimal	capex	
                                                                                                      M
                                                       Piloting
        Mobilisation        Assessment                                       Value  ROI             investment
                                                                                                    	 −		 EQUITY	
                                                                                                          C
  D
ß		 efine	scope	       ß		dentify	data	
                         I
                         	                     D
                                             ß		 efine	pilot	
                                               	                      I
                                                                    ß		dentify	                           infrastructure
  for	pilot              required	for	         scenarios              business	                     ß		 aster	time-to-market
                                                                                                      F
  M
ß		 obilise	team         analysis            ß		 xecute	
                                               E
                                               	                      value                               I
                                                                                                    	 −		mproved	
                       ß		 nalyse	
                         A                     scenarios            ß		 erive	return	
                                                                      D                                   effectiveness
                         internal	and	       ß		 nalyse	
                                               A
                                               	                      on	investment                 ß		ncreased	value-add
                                                                                                      I
                         external	             results                                              	 −		 ransparency	of	
                                                                                                          T
                         systems	
                                                                                                          operations		risks
                         and	identify	
                         sources	of	                                                                	 −		nvestment	
                                                                                                          I
                         data                                                                             efficiency
                                                                                                    ß		ncreased	business	
                                                                                                      I
                                                                                                      agility
        ß		 cope	defined	
          S                    ß		 ources	of	data	
                                 S
                                 	                     A
                                                     ß		 nalysis	results	
                                                       	                         B
                                                                               ß		 usiness	value	
                                                                                 	
                                                                                                    	 −		 usiness	and	
                                                                                                          B
          Team	mobilised         identified            reviewed                  from	MAS	
                                                                                                          market	insights
                                                                                 identified
                                                                                                    	 −		 rends	/	impact	
                                                                                                          T
                                                                               ß		 oI	determined
                                                                                 R
                                                                                 	
                                                                                                          anticipation


              A	proof-of-concept	approach	will	allow	clients	to	determine	the	value	of	MMS	before
                                 embarking	on	full	deployment	of	the	solution
2	    20	May	2008                                                                                              CEQUITY	Confidential
MMS	Campaign	Analytics
                                     Campaign	operation	Components
          Design  Planning                Pre-Campaign Work                Customer Selection             Performance Tracking


      ß Customer	Selection	             ß Workbook	creation             ß   Customer	Selection         ß Tracking	criteria	
          Strategy                      ß Production	Planning           ß   Selection	Auditing              identification
      ß   Execution	gap				             ß Data	Identification		        ß   Mail	file	Creation         ß    Tracking	report
          analysis		closing               Mapping                      ß   vendor	coordination        ß    Analysis		
      ß   Process	Mapping               ß Data	validation               ß   Compliance		other	             recommendation
                                                                            fulfillments




                  Business Analyst                          Campaign Managers                     Reporting Managers



                  Skill sets
                   ß	Quantitative		Analytical	skills
                   ß	Direct	Marketing	/	List	Processing	Knowledge
                   ß	Relationship	Mgt.	Skills
                   ß	SAS	/	SQL	knowledge
                  Tools Utilized
                   ß	SAS	Analytics	wide	knowledgebase
                   ß	Unica-Affinium	Campaign,e	message,model		Detect
                   ß	Encryption	Software	for	Data	Protection
                   ß	KXen
	       20	May	2008                                                                                                 CEQUITY	Confidential
Managed	Marketing	Services
Engagement	Model	(/2)

      I. ‘Pilot / Project’ engagement                        II. Managed Services engagement
      ß	Duration                                             ß	Duration
      	        −		–		months                                	   −		–		years
      ß	nature	of	engagement                                 ß	nature	of	engagement




                                                          ª
      	        −		 	–	subject	experts	deployed	
                                                            						 −		 edicated	resources	(gradually	
                                                                      d
                 parttime	/	full-time	for	the	duration	of	            staffed-up)
                 engagement                                  						 −			 eam	normally	located	off-shore	
                                                                       T
      	        −	Team	located	on-site	/	off-shore                      with	account	manager	in	place
      ß	nature	of	deliverable                                ß	nature	of	deliverable
      	        −		 ne-time,	identifying	specific	
                 o                                           						 −		 n-going	deliverables	with	clear	
                                                                      o
                 data	collection	/	analyses	                          SLAs
                 recommendations
                                                             ß	rationale	behind	offering
      ß	Rationale	behind	offering                            						 −		 ong-term	engagement	with	growth	
                                                                      L
      			      −		 hort	engagement	to	assess	data	
                 S                                                    potential	based	on	delivery
                 availability	and	benefits	of	analytics
      			      −		 lient	assistance	provided	to	drive	
                 C
                 long-term	relationships




	         20	May	2008                                                                             CEQUITY	Confidential
Managed Marketing Services
Engagement Model (2/2)
      Internal/External Data                       Client                                           CEQUITY

                                                                                                           Data mining  Campaign
                                  Option1: Project Based Engagement                                        tools (Kxen, SAS  Unica)


                    Raw data,       Project Objective and           Timeline  Data Requirement               Analysis/Campaigns
                     Flat files     Deliverables Provided                  Agreed Upon


                                                      Ad Hoc Data Transfer Based
                                                              on objective                                    Modeling  Optimization
                       Data                                                                               •

                       Cleaning                                                                           •   Market intelligence 
                                                                                                              research
                                                                                                          •   Performance analyses
                                  Option2: Managed Services Engagement                                    •   Campaign Planning 
                                                                                                              Execution
                                                                                                          •   Internal/External Reporting

                    Raw data,         Periodic Analysis Requirement, Timeline, Data Requirement 
                                                                                                              Campaigns/Analysis
                     Flat files                 Staffing agreed upon before the engagement



                       Data                           Ad Hoc Data Transfer Based
                       Cleaning                               on objective
                                                                                               Feedback Loop on Data Quality/
                                                                                                    Campaign Response




	   20	May	2008                                                                                                            CEQUITY	Confidential
Proposed	Pricing	Models
There	are	several	pricing	options,	highly	customizable
      Fixed	Rates	option

                                                            Charge	model	is	based	on	number
          MMS	HUB




                                                            of	customers	and	service	spectrum,
      $                                                     taking	away	any	significant	upfront
                                                            investment	giving	quantifiable	RoI
                                                            to	the	client
                         number	of	outputs	in	Month


      Base	Plus                                        Transaction	Loading
          MMS	HUB




                                                            MMS	HUB
      $                                                 $



                         number	of	outputs	in	Month                   number	of	outputs	in	Month


      Pricing	for	services	would	be	at	market	rates	for	similar	services,	which	suggests	direct
                                 savings	of	20-2%	to	most	clients
	        20	May	2008                                                                             CEQUITY	Confidential
In	Summary,	our	value	Proposition

      Client	benefits                                       Key	differentiators
      ß	Financial	Impact                                    ß		CEQUITY	in	partnership	-	“skin	in	
                                                               	
      						 −		 emonstrable	savings	through	RoI	
               D                                               the	game”
               calculators
                                                            ß		Skilled	resources/Leveraged	
                                                               	




                                                    ª
      						 −	Fixed	to	variable/no	upfront	investment
                                                               models
      						 −	Pay-Per-Use
                                                            ß		Scalable	capacity
      ß	Time	To	Market	(TTM)
                                                            						 −	Best	practices
      						 −	Improved	Effectiveness
                                                            	      −	Repeatability
      ß	Increased	value-add                                 	      −		 xperienced	domain/industry	business	
                                                                     E
      						 −	Transparency	of	operations		risks                    analysts
      						 −	Investment	efficiency
                                                            ß		Proven	benefits
      ß		off-the-shelf	jumpstart	modules	                   						 −		 xperience	in	driving	benefits	for	
                                                                     E
         for	“analytics	starter”                                     CEQUITY	businesses		selected	
                                                                     clients
      ß	Increased	business	agility
                                                            						 −	Solution	expertise
      						 −	Business	and	market	insights
      	      −	Trends	/	impact	anticipation                 ß		End-to-end	offering
                                                            						 −	Consulting	led	Managed	Analytics
                                                            						 −	Trends	/	impact	anticipation
                        [[          Focused	on	delivering	business	impact
	      20	May	2008                                                                             CEQUITY	Confidential

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Managed Marketing Services

  • 1. Managed Marketing Services (MMS) Moving from tactical to strategic Analytical marketing 20 May 2008 20 May 2008 CEQUITY Confidential
  • 2. Managed Marketing Services Business Transaction Data Analytics Campaign management Market research Competitive Lifestyle Data indicator data We support data based decisioning by providing ACTIonABLE AnALYTICS™ using enterprise and external data in a MAnAGED MARKETInG SERVICES model. 2 20 May 2008 CEQUITY Confidential
  • 3. CEQUITY offers a range of Managed Marketing Services Cequity — our service offerings Envision Explore Extract Enable Empower Customer Management Managed Analytics/ Custom Database Managed Marketing Marketing Operations Consulting Campaign Services Design Solution Services Measurement services ß Customer ß Customer Analytics ß Build Databases ß Campaign Services ß Measurement Management ß Digital Analytics ß Manage databases ß Event-trigged frameworks framework ß Campaign Design Services ß Dashboards ß Customer Execute Loyalty Marketing on-boarding on-boarding ß Campaign Tracking ß Lead Generation ß Loyalty Analytics ß Customer Lifecycle RoI Management Management ß Managed Loyalty ß Managed Service Campaign services Solutions Data Quality ß Managed Channel And Information Solutions Management 20 May 2008 CEQUITY Confidential
  • 4. Tools and Techniques Modeling and Business Performance Data Management Enabling Optimization Research Analysis quality Operations ß Forecasting ß Market Mix modeling ß Customized reporting ß Data quality audits ß Database Hosting ß Customer Lifetime ß Benchmarking, ß Univariate / ß Creating Design of services value ß Financial Impact Multivariate analyses Experiments ß Return on Marketing modeling ß Pareto analyses ß Data cleansing investment ß Trend analyses classification optimization ß Survival analytics ß Regression Business Applications Demand Management Supply Management Strategy simulation Financial Analytics Analytics Analytics Analytics Supporting data-driven business decision process How can clients quickly obtain the infrastructure and skill-set required to deploy an analytics solution? 20 May 2008 CEQUITY Confidential
  • 5. Managed Marketing Services Success Stories ß S hopping basket analysis and cross-sell optimization for the Grocery Retail business to improve targeting and conversion efficiency ß R eturn on Marketing Investment for packaged consumer goods companies for optimal allocation of marketing budget ß C ustomer Segmentation and Churn Analysis for a renowned telecom company ß Predictive models for Cross sell up sell programs for a financial Institution ß H igh Frequency Store PoS data analysis for new product, promotional, purchase timing etc. for packaged consumer goods companies ß L arge Scale up in Campaigns ,both in terms of complexity and volume for a very large Retail Bank 20 May 2008 CEQUITY Confidential
  • 6. Cequity - Managed Marketing Services Solutions Cequity‘s Managed Campaign services solutions allows clients to offshore their key customer marketing processes to a partner who can flexibly bring “best in class” skills sets to the entire customer marketing process. Cequity supports campaign management marketing decisioning by bringing the client’s data into a managed services framework which allows the client to rapidly scale up their Customer marketing efforts. Cequity also brings a robust stage Campaign management process, Smart campaigning™, which helps clients rapidly scale up their Customer marketing efforts. e Tra ns p ons act R es ion ign Da pa ta am C ta Da Smart Campaigning ™ Action basis Customer insight ry co nda Ca mp l/ Se s aig n B e rna urce lue Ext a so prin dat t 20 May 2008 CEQUITY Confidential
  • 7. Actionable Analytics framework™ Situation Analysis Behavioral Segmentation 1 to 1 Plan Behavior Customer Scoring Model Optimisation Matrix • Absolute Scores / 1-to-1 Plan Business Objectives • Relative Scores • Portfolio level Objectives • Predictive Scores • Possible actions to • Historical Scores bridge Behaviour Gap Customer Portfolio Map (different score/behavior combinations) • Multiple Portfolios Data-BO Matrix ROI Map • Portfolio Characteristics BO-Data Matrix • Portfolio Behavior trends • Portfolio Opportunities Value Iteration Behavior Gap Analysis (for each Portfolio) Existing Customer Data Current Ideal Resultant Portfolio Portfolio ROI Campaign Lists GAP Offer Ideas Behavior Behavior Opportunity 20 May 2008 CEQUITY Confidential
  • 8. Typical Marketing needs across Industry ¬ Explore Extract ß Which market should I play in? ß How will it be profitable? ß What should be my products? ß How to generate good leads? ß What is my demand? ß Make my Sales team more ß What is competition doing? effective? ß How much will my customer value ß Which Channels? my services? ß What price should I set? ¬ Customer Life Cycle ¬ Empower Enable ß How profitable are my customer ß How can I reach my customer strategies? across multiple channels? ß Can I build Customer lifetime ß How do I analyze customer value approaches to manage my behavior to make my offers more customers better? ¬ relevant? ß How do I scale up my Marketing processes to campaign to my customers in a seamless way? 8 20 May 2008 CEQUITY Confidential
  • 9. to address c lient needs Bread th of services Extract ting Models Explore ß Target Mk Mgmt. ence ß Campaign ß Market Intellig ß Price Sett ing ence ix Model ß Comp. Intellig ß Market M ß Price Tracking ß Sales Effe ctivess Strategy ß Product Dev. ß offer opti misation entation ß Market Segm ß CLTV Mo deling Empower Enable ß Credit Scorin g -sell ß Loss Model ß X-Sell, Up Collections S trategy odel ß ß Attrition M Fraud Detecti on ß Loyalty S corecard ß Sat. Study ß Customer entation ß C ustomer Segm ß Trigger M arketing nagement P rofitability Ma ß Customer 20 May 2008 CEQUITY Confidential
  • 10. Through utilising CEQUITY’s Managed Marketing Services… …Clients are able to increase speed to market with minimal capital investments ß CEQUITY offers a managed service model which allows Clients to: − inimise capital expenditure technology M − everage the skills and expertise of CEQUITY’s L investments Analytics Services practitioners 0% Consulting Clients Transactional Data – 0% % Customer, vendor, SCM, Phd Marketing Marketing Solicitations, 20% 0% 2% ITES Product Data, Financial Data Masters MBA 2% 0% Analytics 20% External/Secondary Data BSc / IT Engg. % Prospect List/reference Files others CEQUITY Managed Analytics Platform Business Research Modeling Performance Analysis Primary Research Process Support 60 Apples 120 Management / Solutions 100 S. California 50 Bananas C. California 80 40 N. California 60 30 tive 40 20 20 10 Jul Aug Sep Oct Nov Dec 0 A B C D E F tra llus C Jan B 1990 ß members onboard I Product A A 1980 1970 Feb Product B Mar Product C 0 10 20 30 40 50 60 70 80 ß Ramp-up to 00+ by end 0 0 50 100 150 200 250 300 350 0 20 May 2008 CEQUITY Confidential
  • 11. MMS End to End Campaign Solution Internal/External Hosted Environment External STAGInG ª SFTP Raw Files: Customer Details • Consumer details registration, Profile • Transaction details Promotions by Channel updates, Surveys • Reactions • Survey updates • Reference files TP Transaction Data ª SF Current Promotions Reactions to Promotions Current Promotions Customer relations Reference Files ETL DQA oDS/DW X Campaign Mgt X https [ Consumer Integrated data Shared hub 20 May 2008 CEQUITY Confidential
  • 12. A Proof-of-Concept engagement is proposed to… …demonstrate the business value to our clients ª ª ª ª Benefits of MMS Scope Definition Data Systems Analyze Business ß inimal capex M Piloting Mobilisation Assessment Value ROI investment − EQUITY C D ß efine scope ß dentify data I D ß efine pilot I ß dentify infrastructure for pilot required for scenarios business ß aster time-to-market F M ß obilise team analysis ß xecute E value I − mproved ß nalyse A scenarios ß erive return D effectiveness internal and ß nalyse A on investment ß ncreased value-add I external results − ransparency of T systems operations risks and identify sources of − nvestment I data efficiency ß ncreased business I agility ß cope defined S ß ources of data S A ß nalysis results B ß usiness value − usiness and B Team mobilised identified reviewed from MAS market insights identified − rends / impact T ß oI determined R anticipation A proof-of-concept approach will allow clients to determine the value of MMS before embarking on full deployment of the solution 2 20 May 2008 CEQUITY Confidential
  • 13. MMS Campaign Analytics Campaign operation Components Design Planning Pre-Campaign Work Customer Selection Performance Tracking ß Customer Selection ß Workbook creation ß Customer Selection ß Tracking criteria Strategy ß Production Planning ß Selection Auditing identification ß Execution gap ß Data Identification ß Mail file Creation ß Tracking report analysis closing Mapping ß vendor coordination ß Analysis ß Process Mapping ß Data validation ß Compliance other recommendation fulfillments Business Analyst Campaign Managers Reporting Managers Skill sets ß Quantitative Analytical skills ß Direct Marketing / List Processing Knowledge ß Relationship Mgt. Skills ß SAS / SQL knowledge Tools Utilized ß SAS Analytics wide knowledgebase ß Unica-Affinium Campaign,e message,model Detect ß Encryption Software for Data Protection ß KXen 20 May 2008 CEQUITY Confidential
  • 14. Managed Marketing Services Engagement Model (/2) I. ‘Pilot / Project’ engagement II. Managed Services engagement ß Duration ß Duration − – months − – years ß nature of engagement ß nature of engagement ª − – subject experts deployed − edicated resources (gradually d parttime / full-time for the duration of staffed-up) engagement − eam normally located off-shore T − Team located on-site / off-shore with account manager in place ß nature of deliverable ß nature of deliverable − ne-time, identifying specific o − n-going deliverables with clear o data collection / analyses SLAs recommendations ß rationale behind offering ß Rationale behind offering − ong-term engagement with growth L − hort engagement to assess data S potential based on delivery availability and benefits of analytics − lient assistance provided to drive C long-term relationships 20 May 2008 CEQUITY Confidential
  • 15. Managed Marketing Services Engagement Model (2/2) Internal/External Data Client CEQUITY Data mining Campaign Option1: Project Based Engagement tools (Kxen, SAS Unica) Raw data, Project Objective and Timeline Data Requirement Analysis/Campaigns Flat files Deliverables Provided Agreed Upon Ad Hoc Data Transfer Based on objective Modeling Optimization Data • Cleaning • Market intelligence research • Performance analyses Option2: Managed Services Engagement • Campaign Planning Execution • Internal/External Reporting Raw data, Periodic Analysis Requirement, Timeline, Data Requirement Campaigns/Analysis Flat files Staffing agreed upon before the engagement Data Ad Hoc Data Transfer Based Cleaning on objective Feedback Loop on Data Quality/ Campaign Response 20 May 2008 CEQUITY Confidential
  • 16. Proposed Pricing Models There are several pricing options, highly customizable Fixed Rates option Charge model is based on number MMS HUB of customers and service spectrum, $ taking away any significant upfront investment giving quantifiable RoI to the client number of outputs in Month Base Plus Transaction Loading MMS HUB MMS HUB $ $ number of outputs in Month number of outputs in Month Pricing for services would be at market rates for similar services, which suggests direct savings of 20-2% to most clients 20 May 2008 CEQUITY Confidential
  • 17. In Summary, our value Proposition Client benefits Key differentiators ß Financial Impact ß CEQUITY in partnership - “skin in − emonstrable savings through RoI D the game” calculators ß Skilled resources/Leveraged ª − Fixed to variable/no upfront investment models − Pay-Per-Use ß Scalable capacity ß Time To Market (TTM) − Best practices − Improved Effectiveness − Repeatability ß Increased value-add − xperienced domain/industry business E − Transparency of operations risks analysts − Investment efficiency ß Proven benefits ß off-the-shelf jumpstart modules − xperience in driving benefits for E for “analytics starter” CEQUITY businesses selected clients ß Increased business agility − Solution expertise − Business and market insights − Trends / impact anticipation ß End-to-end offering − Consulting led Managed Analytics − Trends / impact anticipation [[ Focused on delivering business impact 20 May 2008 CEQUITY Confidential