UCC PGDip in Innovation Studies - Feb 2021 - Barry Magee
I'm an experienced senior business leader focused on how data-driven transformation creates organisational value with deep experience in sales, marketing, strategy, operations, and change management. I’m a recognized industry-leading specialist and academic on effective and systemic innovation using data and analytics to build competitive advantage and tangible results.
https://www.linkedin.com/in/barrymagee/
5. A RAIN of lists
Average of 100 unique
“lists” per Europe mission
No DIRECTION
Only 5% of lists have prioritization and lists
at odds with each other
Quality => TIME
Each doubling of lead conversion rate
halves time taken to get pipeline
No FEEDBACK
Without ability to capture feedback we lose
customer insight on 98% of calls
Business As Usual
Ad-hoc list driven execution from multiple and hidden stakeholders
suppresses lead conversion and time to pipeline target.
1-2%
lead
conversion
1
integrated
process
1
client discussion
for all topics
13-20%
lead
conversion
Edison Pipeline
one integrated process in sales connect with management system and
market feedback allows sales sprints increasing speed to pipe
Weeks
to build
pipeline
A $1m sales target of $100k transactions and 20% Win Rate will take 50
weeks of activity to achieve with a 1% lead conversion rate.
A $1m sales target of $100k transactions and 20% Win Rate will take 9
weeks of outbound activity to achieve with a 5.5% lead conversion rate.
1
2
3
4
Months
to build
pipeline
What’s the problem – it’s hard to build pipeline
What happens if you try to make sales and marketing more data-driven?
6. observe &
adjust
observe &
adjust
observe &
adjust
observe &
adjust
2%
??%
Time
Lead
Conversion
1. create processes to capture the data to answer what you need to know
2. think agile marketing and sales with a data backbone
3. identify > execute > observe > adjust > repeat
4. short sprints of activity allow you course correct more quickly - eliminate waste & maximise conversion
How - integrated feedback allows you to pivot
What happens if you try to make sales and marketing more data-driven?
7. What are Edison core Use-Cases?
Where is the market for our
strategy?
How to deploy resource to
maximise yield and RoI?
How to create data-based
plans to make plan?
How to ensure we execute
effectively everywhere?
How to maximise effort on
closing and bookings?
How to maximise adoption and
consumption?
Plan Execute Close Consume
TAM and Deploy
Plan to Make Plan
Pipeline Build
Mgt System
Success/Adoption
10. WHACK-A-MOLE
What happens if you try to make sales and marketing more data-
driven?
A wicked problem is a social or cultural problem that is difficult
or impossible to solve for as many as four reasons:
• incomplete or contradictory knowledge,
• the number of people and opinions involved,
• the large economic burden, and the
• interconnected nature of these problems with other problems.
11. WHAT WE ACTUALLY GET
What happens if you try to make sales and marketing more data-
driven?
O R G A N I S A T I O N A L E N V I R O N M E N T S ,
H O W E V E R , A R E D E S I G N E D A N D R U N
W I T H A L O T O F I N E F F I C I E N C I E S .
C R E A T I N G V A L U E I S N O T A
T E C H N O L O G Y P R O J E C T - I T ’ S A
B U S I N E S S T R A N S F O R M A T I O N
12. 3RD ROUTE
What happens if you try to make sales and marketing more data-
driven?
https://herdingcats.typepad.com/my_weblog/2017/05/book-of-the-month.html
Execution
Bias
Doing vs
Thinking
13. ELEPHANT IN THE ROOM
What happens if you try to make sales and marketing more data-
driven?
Case Study:
Sales Strategy
Confirmation
Bias
What I Want
vs
What I Need
14. FASTER HORSES
What happens if you try to make sales and marketing more data-
driven?
What I Want
vs
What I Need
Case Study:
Sales Strategy
Confirmation
Bias
15. 2 PROBLEMS
What happens if you try to make sales and marketing more data-
driven?
10:20:8
0
Case Study:
Digital Sales
20. 2 ROUTES – SPECIFIC V WHOLISTIC
What happens if you try to make sales and marketing more data-
driven?
system
issue
Hinweis der Redaktion
The problem is everyone has a different perspective on what ‘good’ looks like
Case Study : Citrix sales manager led view of where market is….
The problem is everyone has a different perspective on what ‘good’ looks like
Case Study : Citrix sales manager led view of where market is….
Case Study : IBM Digital sales leadership view of the world
2 Problems – (A) You have a problem (B) You don’t know you have a problem
Overconfidence that existing knowledge and POV is fit for purpose….if it ain’t broke