SlideShare a Scribd company logo
1 of 47
Rich Jones, Principle
Leading2Leadership LLC
720.256.4936, rich0747@comcast.net
@rich0747
Making Data Actionable
www.youtube.com/watch?v=449twsMTrJI&feature=youtu.be
Data is too important to be left to
bean counters and report writers
Data needs to answer business
questions with actionable information
So, what’s getting in your way?
Customer Perception?
6
Lack of software/resources?
Lack of Skill, Money, or Time?
Where do I start?
It Starts With a Strategy
Big Data Strategy
1. To provide the data, data integrity and data awareness, the
reporting and analysis expertise and the tools and services
to allow the bank or credit union to become a data driven
organization for strategic, financial and operational planning
a) Create marketing efficiencies by target product and service offerings
b) Use data to discover organizational efficiencies
c) Change decisions from “I think” to “I know”
2. To win, we need to excel at
a) Data Access
b) Data Mining
c) Data Analysis
d) Data Visualization
Data sources
Data you don’t have
Aggregate data
Set definitions
Choose the
tool/software
Determine the budget
and staffing model
BIG DATA “To Do” List
Set Milestones
• Data Strategy organizational
buy-in
• Create definitions
• Evaluate Data gathering, storing
and mining tools and resources
• Identify tool and resource gaps
• Plan to fill gaps
• Establish utilization and
reporting elements
Data Sources
*Unstructured
• Core
• Online and Mobile banking
platforms
• MCIF/CRM
• Loan Originations
• Credit Bureaus
• PFM
• Credit Cards
• Social Media*
• Customer feedback loops*
(Some data you hold, some is
held by 3rd parties)
Set Definitions
• Customer
• Household
• Core Deposit
• Term Deposit
• Consumer Loan /
Mortgage loan
• Active Customer /
Active Account
• Inactive customer /
Inactive Account
• New Customer
Start NOW with Core Data
• monthly ACH deposit to another FI
• monthly bill payment via providers
website
• automatic loan payment to another FI
• with no checking
• With no debit card
• with inactive checking/debit
• without a credit card with you
• with A credit and low deposit balances
• with high deposit balance and no loans
• without mortgages with you
• with one auto loan
• with $10K of deposit balances
Our Job is to put a Face to Data
Opportunity Analysis
80%
20%
Deposit Opportunity
Current Household Deposits Current Household Deposit Opportunity
41%
59%
Loan Opportunity
Current Household Loans Current Household Loan Opportunity
Total Employees 400
Household Per Employee 40.75%
Total Members 279
Total Households 163
Deposit Information Loan Information
Current Household Deposits $ 5,188,468.00 Current Household Loans $ 2,746,984.00
Deposits per Current Household $ 31,831.09 Loans per Current Household $ 16,852.66
Total Employee Deposit Opportunity $ 10,811,532.00 Total Employee Loan Opportunity $ 13,653,016.00
Current Household Deposit Opportunity $ 1,331,532.00 Current Household Loan Opportunity $ 3,936,016.00
Remaining to Maturity (27% Share of Wallet) $ 359,513.64 Remaining to Maturity (34% Share of Wallet) $ 1,338,245.44
% HSA Households 1.23% % Loan Households 68.71%
Marketing and Data Use
Avoid Vanity Metrics
• These “vanity metrics” include
– Total page views
– Twitter followers
– Likes
– Visits
• The strongest marketers are the ones who collect actionable data.
Ask the “So What Question”
• To be more actionable
with your analytics, start
with the “so what?”
question.
– For example, click-through
and blog views are nice to
have, but do they impact
revenue?
• When you frame your
decisions through the “so
what?” question, you’re
beginning to dig deeper
into analytics.
5 ways to make the most out of
marketing analytics
1. Stop relying on gut instincts
• 40% of marketers say that they use intuition to make decisions.
• Way too many businesses are just gambling on their marketing
plans.
• Bad guesses waste your time and resources.
• Since these marketers probably don’t measure the outcomes of
their decisions, they are also likely to repeat past mistakes.
2. Don’t be a lukewarm user
• ~50% of marketers believe
that their most under-
utilized asset is their data.
• Do your homework.
• walk you through the basics
of conversion goals, and
traffic channels.
• It takes more effort to set
up individual campaign
tracking, it’s worth it when
your actionable data starts
pouring in.
3. Focus on what members are doing
• Better understand your customer
behavior
• Track customer paths
• Run behavior reports to figure
out what people are doing on
your channels.
• Evaluate drop-off points.
• A/B testing is critical
• A low 24% of marketers create
and test hypotheses.
• Marketers are missing the
opportunity to collect real data
and improve the customers’
experiences.
4. Be consistent with analysis
• When marketing departments are busy, complex analysis can become
a lower priority.
• That’s why only 37 percent of marketers use analytics on a regular
basis.
• Analyze your past data
• Make smart predictions about future campaigns.
• Using analytics to improve marketing campaigns can save time—and
increase revenue.
5. Assign real dollar values
• 1/3 of marketers track ROI on their campaigns.
• Dollars and revenue need more of your focus.
• Don’t spend all your time on numbers, focus on dollars.
• Work with your CFO or VP Finance help you calculate the actual
value of your marketing efforts.
• When you calculate values for customer actions, you can calculate
ROI.
• This makes it much easier to prove the success of your
Actionable Data Leads to Better Marketing
• When you are collecting actionable data, you can
make better marketing decisions.
Gather Data
• Identify you data
sources
• Build or buy a place to
store this data
(MCIF/data
warehouse/CRM)
• Prioritize what data to
collect first
– Priorities should align
with your FIs KPIs and
Strategies
Organize Data
• Store data in identifiable
segments (transaction data,
balance data, process
data…)
• Knowing what data resides
where allows you to access
it in the future
• Organize for tracking and
trending
– Use KPIs
– Use Strategic goals
– Use Key Ratios
Identify Relevant Data
• Always start with a
question you want the
data to answer then
isolate, track and trend
that data
• There is too much data
and not all of it is
relevant all the time
• Identify which data will
provide the answer to
your questions
Use Data to Create Efficiencies
From
• Blast Marketing >>>>>>>>>>>>>>
• One size fits all >>>>>>>>>>>>>>
• We did good >>>>>>>>>>>>>>>>
• We got a lot of new business >>>
• We grew balances >>>>>>>>>>>>
• Assuming everyone wants
everything >>>>>>>>>>>>>>>>>>
• Not knowing the customer >>>>>
To
• Segmented Marketing
• One size fits you
• We had X return
• We opened X new accounts
• We grew balances by $X
• Your customer is looking for
this one thing
• Knowing the customer
How?
• Create smart targets
• Create lists from these targets
• Create a campaign goal
• Store this list info with historical markers
• Add the average per unit/balance profit for this
offer (work with finance to determine)
• Append this list for activity/changes
• Build a report to demonstrate this activity
• Store this activity for future use/forecasting
Create a Target Lists
• Monthly ACH deposit to another FI
• Monthly bill payment via providers
website
• Automatic loan payment to another
FI
• No checking
• No debit card
• Inactive checking/debit
• No credit card with you
• A credit and low deposit balances
• High deposit balance and no loans
• No mortgages with you
• One auto loan
• $10K+ of deposit balances
Create a Marketing List
• Remove from the list
– In collections
– Sub-par members (CUs)
– Underage customers
– Do not market
Create Campaign Goal
• By units
• By balance
• By utilization
• Goal should match
what the campaign is
trying to accomplish
Store these Lists Under Unique Names
• Excel spreadsheet
• Data warehouse
• MCIF
• CRM
• Be sure to include
historical markers based
upon the goal
Add Product/Balance Profit
• ROI or MROI (pros/cons)
• Work with Finance
• Average 1st year profit by:
– Unit – per auto loan
– Balance – per $1000
– Customer
– Household
• Add this profit estimate to
the tracking report
Append this List
• Same definitions
• Same data source
• Add appended data to
original list with
historical markets
• Append weekly/ bi-
monthly/monthly/…
Track, Trending, Reporting
• Build a report
• Compare historical marker
to current
• Present graphically
(visualize the data)
• Tell the story – keep it
pithy…
Store for Future Reference
• Improves your goal setting
• Helps with forecasting
• Helps with budgeting
Three must measurements
• Engagement
• Lead Generation
• Utilization
Engagement
• Products per customer
• Products per household
• Balances per customer
• Balances per household
Lead Generation
• Inbound Marketing
• Social Media
• Branch traffic
• MCIF/CRM
• eMail/Direct Mail
• Outdoor
• Events
• Content Marketing
• New customer marketing lists
• SEG/Business Partner
employees
Utilization
• This metric is the one that matters the most to your C-suite.
• Did your marketing compel people to come in for an appointment or
attend an event?
• Did you marketing result in product adoption and balance growth?
• Match the marketing group to those who actually walked through
your doors—and give you a direct ROI/MROI on your effort.
Tweak and Start Over
Data quickly becomes addictive
Data will temper the “gut”
and mitigate the “I think(s)”
"Information is the oil of the 21st
century, and analytics is the
combustion engine.“
Peter Sondergaard, SVP Gartner Research
Rich Jones
rich0747@comcast.net
Leading2Leadership LLC
720.256.4936 mobile
@rich0747 Twitter
LinkedIn.com/in/rich0747

More Related Content

What's hot

Digital Banking Strategy 2010
Digital Banking Strategy 2010Digital Banking Strategy 2010
Digital Banking Strategy 2010Damien Dellala
 
GMCA Info Session 20170629
GMCA Info Session 20170629GMCA Info Session 20170629
GMCA Info Session 20170629Ian Xiao
 
1140 track 3 ramirez_using our laptop
1140 track 3 ramirez_using our laptop1140 track 3 ramirez_using our laptop
1140 track 3 ramirez_using our laptopRising Media, Inc.
 
How Big Data and Predictive Analytics are Transforming the World of Accountin...
How Big Data and Predictive Analytics are Transforming the World of Accountin...How Big Data and Predictive Analytics are Transforming the World of Accountin...
How Big Data and Predictive Analytics are Transforming the World of Accountin...Swenson Advisors, LLP
 
Modern Finance and Best Use of Analytics - Oracle Accenture Case Study
Modern Finance and Best Use of Analytics - Oracle Accenture Case StudyModern Finance and Best Use of Analytics - Oracle Accenture Case Study
Modern Finance and Best Use of Analytics - Oracle Accenture Case StudyJames Hartshorn FIRP MIoD
 
POI Dallas.A Trading Partner Approach to Data Centered Collaboration
POI Dallas.A Trading Partner Approach to Data Centered CollaborationPOI Dallas.A Trading Partner Approach to Data Centered Collaboration
POI Dallas.A Trading Partner Approach to Data Centered CollaborationKristy Weiss
 
Insights from Data: Overcoming Objections
Insights from Data: Overcoming ObjectionsInsights from Data: Overcoming Objections
Insights from Data: Overcoming ObjectionsGramener
 
Profiting from customer profitability + big data fitzgerald analytics
Profiting from customer profitability + big data fitzgerald analyticsProfiting from customer profitability + big data fitzgerald analytics
Profiting from customer profitability + big data fitzgerald analyticsFitzgerald Analytics, Inc.
 
Bill Stankeiwicz Copy Scope 2010 Bristlecone Co. Strategy
Bill Stankeiwicz Copy Scope 2010 Bristlecone Co. StrategyBill Stankeiwicz Copy Scope 2010 Bristlecone Co. Strategy
Bill Stankeiwicz Copy Scope 2010 Bristlecone Co. StrategyBillStankiewicz
 
Business Analytics Masters
Business Analytics MastersBusiness Analytics Masters
Business Analytics Masterstnjules
 
Data Analytics 201: Adding Value with Modeling Techniques
Data Analytics 201: Adding Value with Modeling TechniquesData Analytics 201: Adding Value with Modeling Techniques
Data Analytics 201: Adding Value with Modeling TechniquesNICSA
 
Empowering Success With Big Data-Driven Talent Acquisition
Empowering Success With Big Data-Driven Talent AcquisitionEmpowering Success With Big Data-Driven Talent Acquisition
Empowering Success With Big Data-Driven Talent AcquisitionDavid Bernstein
 
WA-UX - data and strategies - Talk by Shivam
WA-UX  - data and strategies - Talk by ShivamWA-UX  - data and strategies - Talk by Shivam
WA-UX - data and strategies - Talk by ShivamShivam Dhawan
 
Developing a cult of analytics
Developing a cult of analyticsDeveloping a cult of analytics
Developing a cult of analyticsSteve Jackson
 
Rd big data & analytics v1.0
Rd big data & analytics v1.0Rd big data & analytics v1.0
Rd big data & analytics v1.0Yadu Balehosur
 

What's hot (20)

Digital Banking Strategy 2010
Digital Banking Strategy 2010Digital Banking Strategy 2010
Digital Banking Strategy 2010
 
GMCA Info Session 20170629
GMCA Info Session 20170629GMCA Info Session 20170629
GMCA Info Session 20170629
 
1140 track 3 ramirez_using our laptop
1140 track 3 ramirez_using our laptop1140 track 3 ramirez_using our laptop
1140 track 3 ramirez_using our laptop
 
How Big Data and Predictive Analytics are Transforming the World of Accountin...
How Big Data and Predictive Analytics are Transforming the World of Accountin...How Big Data and Predictive Analytics are Transforming the World of Accountin...
How Big Data and Predictive Analytics are Transforming the World of Accountin...
 
Modern Finance and Best Use of Analytics - Oracle Accenture Case Study
Modern Finance and Best Use of Analytics - Oracle Accenture Case StudyModern Finance and Best Use of Analytics - Oracle Accenture Case Study
Modern Finance and Best Use of Analytics - Oracle Accenture Case Study
 
POI Dallas.A Trading Partner Approach to Data Centered Collaboration
POI Dallas.A Trading Partner Approach to Data Centered CollaborationPOI Dallas.A Trading Partner Approach to Data Centered Collaboration
POI Dallas.A Trading Partner Approach to Data Centered Collaboration
 
Customer analytics fast facts v3
Customer analytics fast facts v3Customer analytics fast facts v3
Customer analytics fast facts v3
 
Marketing analytics
Marketing analyticsMarketing analytics
Marketing analytics
 
1115 ramirez using our laptop
1115 ramirez using our laptop1115 ramirez using our laptop
1115 ramirez using our laptop
 
Insights from Data: Overcoming Objections
Insights from Data: Overcoming ObjectionsInsights from Data: Overcoming Objections
Insights from Data: Overcoming Objections
 
Profiting from customer profitability + big data fitzgerald analytics
Profiting from customer profitability + big data fitzgerald analyticsProfiting from customer profitability + big data fitzgerald analytics
Profiting from customer profitability + big data fitzgerald analytics
 
Bill Stankeiwicz Copy Scope 2010 Bristlecone Co. Strategy
Bill Stankeiwicz Copy Scope 2010 Bristlecone Co. StrategyBill Stankeiwicz Copy Scope 2010 Bristlecone Co. Strategy
Bill Stankeiwicz Copy Scope 2010 Bristlecone Co. Strategy
 
Business Analytics Masters
Business Analytics MastersBusiness Analytics Masters
Business Analytics Masters
 
Data Analytics 201: Adding Value with Modeling Techniques
Data Analytics 201: Adding Value with Modeling TechniquesData Analytics 201: Adding Value with Modeling Techniques
Data Analytics 201: Adding Value with Modeling Techniques
 
Empowering Success With Big Data-Driven Talent Acquisition
Empowering Success With Big Data-Driven Talent AcquisitionEmpowering Success With Big Data-Driven Talent Acquisition
Empowering Success With Big Data-Driven Talent Acquisition
 
1315 keynote jopia_shareable
1315 keynote jopia_shareable1315 keynote jopia_shareable
1315 keynote jopia_shareable
 
WA-UX - data and strategies - Talk by Shivam
WA-UX  - data and strategies - Talk by ShivamWA-UX  - data and strategies - Talk by Shivam
WA-UX - data and strategies - Talk by Shivam
 
Developing a cult of analytics
Developing a cult of analyticsDeveloping a cult of analytics
Developing a cult of analytics
 
Rd big data & analytics v1.0
Rd big data & analytics v1.0Rd big data & analytics v1.0
Rd big data & analytics v1.0
 
A Trading Partner Approach to Data Centered Collaboration
A Trading Partner Approach to Data Centered CollaborationA Trading Partner Approach to Data Centered Collaboration
A Trading Partner Approach to Data Centered Collaboration
 

Viewers also liked

CHRTD Creating a Branded Culture
CHRTD Creating a Branded CultureCHRTD Creating a Branded Culture
CHRTD Creating a Branded CultureRich Jones
 
From Big Data to Actionable Insight: What's Needed on the Back End
From Big Data to Actionable Insight: What's Needed on the Back EndFrom Big Data to Actionable Insight: What's Needed on the Back End
From Big Data to Actionable Insight: What's Needed on the Back EndZach Gardner
 
BD for Extreme Growth
BD for Extreme GrowthBD for Extreme Growth
BD for Extreme GrowthRich Jones
 
Outdoor and bushcraft winter clothing
Outdoor and bushcraft winter clothingOutdoor and bushcraft winter clothing
Outdoor and bushcraft winter clothingAngelo Valkenborgh
 
ara_fouad_hassaan_cv
ara_fouad_hassaan_cvara_fouad_hassaan_cv
ara_fouad_hassaan_cvFouad Hassaan
 
TRANSFORMASI (TRANSLASI-REFLEKSI-ROTASI-DILATASI)
TRANSFORMASI (TRANSLASI-REFLEKSI-ROTASI-DILATASI)TRANSFORMASI (TRANSLASI-REFLEKSI-ROTASI-DILATASI)
TRANSFORMASI (TRANSLASI-REFLEKSI-ROTASI-DILATASI)Linda
 
Moving from data to insights: How to effectively drive business decisions & g...
Moving from data to insights: How to effectively drive business decisions & g...Moving from data to insights: How to effectively drive business decisions & g...
Moving from data to insights: How to effectively drive business decisions & g...Cloudera, Inc.
 

Viewers also liked (12)

CHRTD Creating a Branded Culture
CHRTD Creating a Branded CultureCHRTD Creating a Branded Culture
CHRTD Creating a Branded Culture
 
From Big Data to Actionable Insight: What's Needed on the Back End
From Big Data to Actionable Insight: What's Needed on the Back EndFrom Big Data to Actionable Insight: What's Needed on the Back End
From Big Data to Actionable Insight: What's Needed on the Back End
 
Resume MAR2016
Resume MAR2016Resume MAR2016
Resume MAR2016
 
BD for Extreme Growth
BD for Extreme GrowthBD for Extreme Growth
BD for Extreme Growth
 
The Europeana API
The Europeana APIThe Europeana API
The Europeana API
 
ETIQUETTE
ETIQUETTEETIQUETTE
ETIQUETTE
 
Outdoor and bushcraft winter clothing
Outdoor and bushcraft winter clothingOutdoor and bushcraft winter clothing
Outdoor and bushcraft winter clothing
 
netiquette
netiquettenetiquette
netiquette
 
ara_fouad_hassaan_cv
ara_fouad_hassaan_cvara_fouad_hassaan_cv
ara_fouad_hassaan_cv
 
TRANSFORMASI (TRANSLASI-REFLEKSI-ROTASI-DILATASI)
TRANSFORMASI (TRANSLASI-REFLEKSI-ROTASI-DILATASI)TRANSFORMASI (TRANSLASI-REFLEKSI-ROTASI-DILATASI)
TRANSFORMASI (TRANSLASI-REFLEKSI-ROTASI-DILATASI)
 
Moving from data to insights: How to effectively drive business decisions & g...
Moving from data to insights: How to effectively drive business decisions & g...Moving from data to insights: How to effectively drive business decisions & g...
Moving from data to insights: How to effectively drive business decisions & g...
 
Resume jan2016
Resume jan2016Resume jan2016
Resume jan2016
 

Similar to Data-Driven Marketing Strategies for Financial Institutions

7 Steps to Improve Marketing ROI in 2013
7 Steps to Improve Marketing ROI in 20137 Steps to Improve Marketing ROI in 2013
7 Steps to Improve Marketing ROI in 2013Lorel Marketing Group
 
Startup metrics - Matt Dyor of Payboard
Startup metrics  - Matt Dyor of PayboardStartup metrics  - Matt Dyor of Payboard
Startup metrics - Matt Dyor of PayboardStartup Next
 
Top Data Collection Tips to Help You Unlock Your Business Potential
Top Data Collection Tips to Help You Unlock Your Business PotentialTop Data Collection Tips to Help You Unlock Your Business Potential
Top Data Collection Tips to Help You Unlock Your Business PotentialAndrew Leo
 
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Cloud Analytics, Inc.
 
Data Strategies & its uses for small business owners
Data Strategies & its uses for small business ownersData Strategies & its uses for small business owners
Data Strategies & its uses for small business ownersPallavi Ahuja
 
Data Visualization for Business - Pallav Nadhani
Data Visualization for Business - Pallav NadhaniData Visualization for Business - Pallav Nadhani
Data Visualization for Business - Pallav NadhaniFusionCharts
 
Just the facts ma'am dynamics webinar - 11 4 2013 v2
Just the facts ma'am   dynamics webinar - 11 4 2013 v2Just the facts ma'am   dynamics webinar - 11 4 2013 v2
Just the facts ma'am dynamics webinar - 11 4 2013 v2Ray Major
 
How VP of CS preps for the Board
How VP of CS preps for the Board How VP of CS preps for the Board
How VP of CS preps for the Board Gainsight
 
Data Science Use cases in Banking
Data Science Use cases in BankingData Science Use cases in Banking
Data Science Use cases in BankingArul Bharathi
 
How to start an e commerce start-up (A step by step guide)
How to start an e commerce start-up (A step by step guide)How to start an e commerce start-up (A step by step guide)
How to start an e commerce start-up (A step by step guide)Amit Kumar
 
Stop Burning Your AdWords Budget - Simple Optimization Tactics to Make Your S...
Stop Burning Your AdWords Budget - Simple Optimization Tactics to Make Your S...Stop Burning Your AdWords Budget - Simple Optimization Tactics to Make Your S...
Stop Burning Your AdWords Budget - Simple Optimization Tactics to Make Your S...Luciano Pesci, PhD
 
Key Performance Indicators webinar Smith & Gesteland
Key Performance Indicators webinar    Smith & GestelandKey Performance Indicators webinar    Smith & Gesteland
Key Performance Indicators webinar Smith & GestelandSmith & Gesteland
 
Driving Key Account Growth: Planning and Execution to Access the White Space
Driving Key Account Growth: Planning and Execution to Access the White SpaceDriving Key Account Growth: Planning and Execution to Access the White Space
Driving Key Account Growth: Planning and Execution to Access the White SpaceRichardson
 
Why your analytics land with a thud
Why your analytics land with a thudWhy your analytics land with a thud
Why your analytics land with a thudOne North
 
Unit I-Final MArketing analytics unit 1 ppt
Unit I-Final MArketing analytics unit 1 pptUnit I-Final MArketing analytics unit 1 ppt
Unit I-Final MArketing analytics unit 1 pptPriyadharshiniG41
 
Content Marketing Analytics - What you should really be doing... and probably...
Content Marketing Analytics - What you should really be doing... and probably...Content Marketing Analytics - What you should really be doing... and probably...
Content Marketing Analytics - What you should really be doing... and probably...DigitalMarketingShow
 
Content marketing analytics: what you should really be doing
Content marketing analytics: what you should really be doingContent marketing analytics: what you should really be doing
Content marketing analytics: what you should really be doingDaniel Smulevich
 
Big Data, Big Revenue: How Big Data Means Millions for Marketing
Big Data, Big Revenue: How Big Data Means Millions for MarketingBig Data, Big Revenue: How Big Data Means Millions for Marketing
Big Data, Big Revenue: How Big Data Means Millions for MarketingVivastream
 
BI Knowledge Sharing Session 1
BI Knowledge Sharing Session 1BI Knowledge Sharing Session 1
BI Knowledge Sharing Session 1Kelvin Chan
 
Measuring engagement and revenue throughout the customer lifecycle by Silverpop
Measuring engagement and revenue throughout the customer lifecycle by SilverpopMeasuring engagement and revenue throughout the customer lifecycle by Silverpop
Measuring engagement and revenue throughout the customer lifecycle by SilverpopSilverpop
 

Similar to Data-Driven Marketing Strategies for Financial Institutions (20)

7 Steps to Improve Marketing ROI in 2013
7 Steps to Improve Marketing ROI in 20137 Steps to Improve Marketing ROI in 2013
7 Steps to Improve Marketing ROI in 2013
 
Startup metrics - Matt Dyor of Payboard
Startup metrics  - Matt Dyor of PayboardStartup metrics  - Matt Dyor of Payboard
Startup metrics - Matt Dyor of Payboard
 
Top Data Collection Tips to Help You Unlock Your Business Potential
Top Data Collection Tips to Help You Unlock Your Business PotentialTop Data Collection Tips to Help You Unlock Your Business Potential
Top Data Collection Tips to Help You Unlock Your Business Potential
 
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...
 
Data Strategies & its uses for small business owners
Data Strategies & its uses for small business ownersData Strategies & its uses for small business owners
Data Strategies & its uses for small business owners
 
Data Visualization for Business - Pallav Nadhani
Data Visualization for Business - Pallav NadhaniData Visualization for Business - Pallav Nadhani
Data Visualization for Business - Pallav Nadhani
 
Just the facts ma'am dynamics webinar - 11 4 2013 v2
Just the facts ma'am   dynamics webinar - 11 4 2013 v2Just the facts ma'am   dynamics webinar - 11 4 2013 v2
Just the facts ma'am dynamics webinar - 11 4 2013 v2
 
How VP of CS preps for the Board
How VP of CS preps for the Board How VP of CS preps for the Board
How VP of CS preps for the Board
 
Data Science Use cases in Banking
Data Science Use cases in BankingData Science Use cases in Banking
Data Science Use cases in Banking
 
How to start an e commerce start-up (A step by step guide)
How to start an e commerce start-up (A step by step guide)How to start an e commerce start-up (A step by step guide)
How to start an e commerce start-up (A step by step guide)
 
Stop Burning Your AdWords Budget - Simple Optimization Tactics to Make Your S...
Stop Burning Your AdWords Budget - Simple Optimization Tactics to Make Your S...Stop Burning Your AdWords Budget - Simple Optimization Tactics to Make Your S...
Stop Burning Your AdWords Budget - Simple Optimization Tactics to Make Your S...
 
Key Performance Indicators webinar Smith & Gesteland
Key Performance Indicators webinar    Smith & GestelandKey Performance Indicators webinar    Smith & Gesteland
Key Performance Indicators webinar Smith & Gesteland
 
Driving Key Account Growth: Planning and Execution to Access the White Space
Driving Key Account Growth: Planning and Execution to Access the White SpaceDriving Key Account Growth: Planning and Execution to Access the White Space
Driving Key Account Growth: Planning and Execution to Access the White Space
 
Why your analytics land with a thud
Why your analytics land with a thudWhy your analytics land with a thud
Why your analytics land with a thud
 
Unit I-Final MArketing analytics unit 1 ppt
Unit I-Final MArketing analytics unit 1 pptUnit I-Final MArketing analytics unit 1 ppt
Unit I-Final MArketing analytics unit 1 ppt
 
Content Marketing Analytics - What you should really be doing... and probably...
Content Marketing Analytics - What you should really be doing... and probably...Content Marketing Analytics - What you should really be doing... and probably...
Content Marketing Analytics - What you should really be doing... and probably...
 
Content marketing analytics: what you should really be doing
Content marketing analytics: what you should really be doingContent marketing analytics: what you should really be doing
Content marketing analytics: what you should really be doing
 
Big Data, Big Revenue: How Big Data Means Millions for Marketing
Big Data, Big Revenue: How Big Data Means Millions for MarketingBig Data, Big Revenue: How Big Data Means Millions for Marketing
Big Data, Big Revenue: How Big Data Means Millions for Marketing
 
BI Knowledge Sharing Session 1
BI Knowledge Sharing Session 1BI Knowledge Sharing Session 1
BI Knowledge Sharing Session 1
 
Measuring engagement and revenue throughout the customer lifecycle by Silverpop
Measuring engagement and revenue throughout the customer lifecycle by SilverpopMeasuring engagement and revenue throughout the customer lifecycle by Silverpop
Measuring engagement and revenue throughout the customer lifecycle by Silverpop
 

Data-Driven Marketing Strategies for Financial Institutions

  • 1. Rich Jones, Principle Leading2Leadership LLC 720.256.4936, rich0747@comcast.net @rich0747 Making Data Actionable
  • 3. Data is too important to be left to bean counters and report writers
  • 4. Data needs to answer business questions with actionable information
  • 5. So, what’s getting in your way?
  • 8. Lack of Skill, Money, or Time?
  • 9. Where do I start?
  • 10. It Starts With a Strategy
  • 11. Big Data Strategy 1. To provide the data, data integrity and data awareness, the reporting and analysis expertise and the tools and services to allow the bank or credit union to become a data driven organization for strategic, financial and operational planning a) Create marketing efficiencies by target product and service offerings b) Use data to discover organizational efficiencies c) Change decisions from “I think” to “I know” 2. To win, we need to excel at a) Data Access b) Data Mining c) Data Analysis d) Data Visualization
  • 12. Data sources Data you don’t have Aggregate data Set definitions Choose the tool/software Determine the budget and staffing model BIG DATA “To Do” List
  • 13. Set Milestones • Data Strategy organizational buy-in • Create definitions • Evaluate Data gathering, storing and mining tools and resources • Identify tool and resource gaps • Plan to fill gaps • Establish utilization and reporting elements
  • 14. Data Sources *Unstructured • Core • Online and Mobile banking platforms • MCIF/CRM • Loan Originations • Credit Bureaus • PFM • Credit Cards • Social Media* • Customer feedback loops* (Some data you hold, some is held by 3rd parties)
  • 15. Set Definitions • Customer • Household • Core Deposit • Term Deposit • Consumer Loan / Mortgage loan • Active Customer / Active Account • Inactive customer / Inactive Account • New Customer
  • 16. Start NOW with Core Data • monthly ACH deposit to another FI • monthly bill payment via providers website • automatic loan payment to another FI • with no checking • With no debit card • with inactive checking/debit • without a credit card with you • with A credit and low deposit balances • with high deposit balance and no loans • without mortgages with you • with one auto loan • with $10K of deposit balances
  • 17. Our Job is to put a Face to Data
  • 18. Opportunity Analysis 80% 20% Deposit Opportunity Current Household Deposits Current Household Deposit Opportunity 41% 59% Loan Opportunity Current Household Loans Current Household Loan Opportunity Total Employees 400 Household Per Employee 40.75% Total Members 279 Total Households 163 Deposit Information Loan Information Current Household Deposits $ 5,188,468.00 Current Household Loans $ 2,746,984.00 Deposits per Current Household $ 31,831.09 Loans per Current Household $ 16,852.66 Total Employee Deposit Opportunity $ 10,811,532.00 Total Employee Loan Opportunity $ 13,653,016.00 Current Household Deposit Opportunity $ 1,331,532.00 Current Household Loan Opportunity $ 3,936,016.00 Remaining to Maturity (27% Share of Wallet) $ 359,513.64 Remaining to Maturity (34% Share of Wallet) $ 1,338,245.44 % HSA Households 1.23% % Loan Households 68.71%
  • 20. Avoid Vanity Metrics • These “vanity metrics” include – Total page views – Twitter followers – Likes – Visits • The strongest marketers are the ones who collect actionable data.
  • 21. Ask the “So What Question” • To be more actionable with your analytics, start with the “so what?” question. – For example, click-through and blog views are nice to have, but do they impact revenue? • When you frame your decisions through the “so what?” question, you’re beginning to dig deeper into analytics.
  • 22. 5 ways to make the most out of marketing analytics
  • 23. 1. Stop relying on gut instincts • 40% of marketers say that they use intuition to make decisions. • Way too many businesses are just gambling on their marketing plans. • Bad guesses waste your time and resources. • Since these marketers probably don’t measure the outcomes of their decisions, they are also likely to repeat past mistakes.
  • 24. 2. Don’t be a lukewarm user • ~50% of marketers believe that their most under- utilized asset is their data. • Do your homework. • walk you through the basics of conversion goals, and traffic channels. • It takes more effort to set up individual campaign tracking, it’s worth it when your actionable data starts pouring in.
  • 25. 3. Focus on what members are doing • Better understand your customer behavior • Track customer paths • Run behavior reports to figure out what people are doing on your channels. • Evaluate drop-off points. • A/B testing is critical • A low 24% of marketers create and test hypotheses. • Marketers are missing the opportunity to collect real data and improve the customers’ experiences.
  • 26. 4. Be consistent with analysis • When marketing departments are busy, complex analysis can become a lower priority. • That’s why only 37 percent of marketers use analytics on a regular basis. • Analyze your past data • Make smart predictions about future campaigns. • Using analytics to improve marketing campaigns can save time—and increase revenue.
  • 27. 5. Assign real dollar values • 1/3 of marketers track ROI on their campaigns. • Dollars and revenue need more of your focus. • Don’t spend all your time on numbers, focus on dollars. • Work with your CFO or VP Finance help you calculate the actual value of your marketing efforts. • When you calculate values for customer actions, you can calculate ROI. • This makes it much easier to prove the success of your
  • 28. Actionable Data Leads to Better Marketing • When you are collecting actionable data, you can make better marketing decisions.
  • 29. Gather Data • Identify you data sources • Build or buy a place to store this data (MCIF/data warehouse/CRM) • Prioritize what data to collect first – Priorities should align with your FIs KPIs and Strategies
  • 30. Organize Data • Store data in identifiable segments (transaction data, balance data, process data…) • Knowing what data resides where allows you to access it in the future • Organize for tracking and trending – Use KPIs – Use Strategic goals – Use Key Ratios
  • 31. Identify Relevant Data • Always start with a question you want the data to answer then isolate, track and trend that data • There is too much data and not all of it is relevant all the time • Identify which data will provide the answer to your questions
  • 32. Use Data to Create Efficiencies From • Blast Marketing >>>>>>>>>>>>>> • One size fits all >>>>>>>>>>>>>> • We did good >>>>>>>>>>>>>>>> • We got a lot of new business >>> • We grew balances >>>>>>>>>>>> • Assuming everyone wants everything >>>>>>>>>>>>>>>>>> • Not knowing the customer >>>>> To • Segmented Marketing • One size fits you • We had X return • We opened X new accounts • We grew balances by $X • Your customer is looking for this one thing • Knowing the customer
  • 33. How? • Create smart targets • Create lists from these targets • Create a campaign goal • Store this list info with historical markers • Add the average per unit/balance profit for this offer (work with finance to determine) • Append this list for activity/changes • Build a report to demonstrate this activity • Store this activity for future use/forecasting
  • 34. Create a Target Lists • Monthly ACH deposit to another FI • Monthly bill payment via providers website • Automatic loan payment to another FI • No checking • No debit card • Inactive checking/debit • No credit card with you • A credit and low deposit balances • High deposit balance and no loans • No mortgages with you • One auto loan • $10K+ of deposit balances
  • 35. Create a Marketing List • Remove from the list – In collections – Sub-par members (CUs) – Underage customers – Do not market
  • 36. Create Campaign Goal • By units • By balance • By utilization • Goal should match what the campaign is trying to accomplish
  • 37. Store these Lists Under Unique Names • Excel spreadsheet • Data warehouse • MCIF • CRM • Be sure to include historical markers based upon the goal
  • 38. Add Product/Balance Profit • ROI or MROI (pros/cons) • Work with Finance • Average 1st year profit by: – Unit – per auto loan – Balance – per $1000 – Customer – Household • Add this profit estimate to the tracking report
  • 39. Append this List • Same definitions • Same data source • Add appended data to original list with historical markets • Append weekly/ bi- monthly/monthly/…
  • 40. Track, Trending, Reporting • Build a report • Compare historical marker to current • Present graphically (visualize the data) • Tell the story – keep it pithy…
  • 41. Store for Future Reference • Improves your goal setting • Helps with forecasting • Helps with budgeting
  • 42. Three must measurements • Engagement • Lead Generation • Utilization
  • 43. Engagement • Products per customer • Products per household • Balances per customer • Balances per household
  • 44. Lead Generation • Inbound Marketing • Social Media • Branch traffic • MCIF/CRM • eMail/Direct Mail • Outdoor • Events • Content Marketing • New customer marketing lists • SEG/Business Partner employees
  • 45. Utilization • This metric is the one that matters the most to your C-suite. • Did your marketing compel people to come in for an appointment or attend an event? • Did you marketing result in product adoption and balance growth? • Match the marketing group to those who actually walked through your doors—and give you a direct ROI/MROI on your effort.
  • 46. Tweak and Start Over Data quickly becomes addictive Data will temper the “gut” and mitigate the “I think(s)”
  • 47. "Information is the oil of the 21st century, and analytics is the combustion engine.“ Peter Sondergaard, SVP Gartner Research Rich Jones rich0747@comcast.net Leading2Leadership LLC 720.256.4936 mobile @rich0747 Twitter LinkedIn.com/in/rich0747