Defining Constituents, Data Vizzes and Telling a Data Story
Data Decay: Why Your CRM Data SUCKS
1. CONTACT DATA DECAYS
YOU HAVE A
CRM PROBLEM
Wrong phone
number
The company
was acquired
Wrong title
I have
duplicates
The data is old
The emails
don’t work
My CRM
data sucks
I just called
someone who’s
been dead for a
year
Have a deeper
understanding to the
nature of the problem
Be informed when
choosing a vendor
Define
best practices to
minimize bad data
Help you be an
advocate for change
management
Remove
unrealistic
expectations
Understand
how your CRM
decisions
effect data
So what is the why?
SHORT ANSWER
If each deal is worth $10,000 that’s $4.3 million in lost deals
1,200
new accounts
per year
36%
decay rate
432
bad records
Data Decay rate
Data Decay rate
of your data is
already bad
4%
36%
20%
LONG ANSWER
per month
per month
Accelerate revenue through smart data
WHY DATA DECAYS
The National U.S.
average of a job
length is 54 months
75 phone numbers
change every 30
minutes
Change in title or
promotion
Change in working
location
Change of phone
number
Change of
department
Change of area
code
Merger or
acquisition
1 2
3 4
30minutes
Update
your CRM
contact data
every 60-90
days
Use tools
& automated
programs to
keep data
fresh
Work with
data experts
to stay on top
of your data
1 2 3
THE COMPLETE
DATA QUALITY GUIDE
bit.ly/Data-Quality-Guide
DATA DECAYDATA DECAY
WHY YOUR CRM DATA
SUCKS
DATA DECAY
IF YOU'VE HEARD ANY OF
THESE COMMENTS...
IF YOU UNDERSTAND THE WHY,
YOU WILL BE ABLE TO...
For CRM and
marketing
automation
solutions
THE SOLUTION