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Many companies are working
with B2B databases that are
cluttered with outdated,
invalid, or incomplete leads.
34%
of companies
change their names
annually
37%
of email addresses
change annually66%
of people’s titles
and/or job function
change annually
43%
of people’s phone
numbers change
annually
30%
of people change
jobs annually
Bad data impacts all areas of a
business, including marketing,
lead generation, customer
relationships, and finance.
Databases decay naturally because
people change jobs or titles, companies
go out of business, and mergers occur.
What you need to know
about B2B data decay
The U.S. Department of Labor
projects a 30 - 40% annual
turnover rate in corporate America
30% – 40%
of organizations rely on
marketing/prospect data
that’s 20% – 40% inaccurate
62%
of business objectives fail
due to inaccurate data
40%
of B2B database contacts
contain critical errors
10-25%
Prospect and customer
databases double every
12 – 18 months
JAN FEB MAR APR MAY JUNE
DEC NOV OCT SEPT AUG JULY
JAN FEB MAR APR MAY JUNE
Untargeted email campaigns cost
3.6 times more than targeted ones
50% of organizations reported a less than 3%
response rate to untargeted email campaigns
50%
of businesses suspect that
their customer and
prospect data is inaccurate
94%
of IT budgets are spent
on data rehabilitation50%
Bad data costs U.S.
businesses more than
$611 billion each year
$100 if nothing is done $10 to scrub and
cleanse it later
1-10-100 rule:
It costs $1 to verify a
record as it’s entered
The longer a rotten apple remains in
your database, the more expensive it
becomes to deal with!
ZoomInfo can turn your rotten apples into
apple pie! Find out how today by calling
www.zoominfo.com
866-904-9666 or visiting
Sources:
http://www.zoominfo.com/blog/infographic-b2b-data-disorder/
http://www.bls.gov/opub/mlr/2013/05/art2full.pdf
http://topliners.eloqua.com/servlet/JiveServlet/previewBody/1675-102-1-1977/Bad%20Data%20Impact%20On%20Demand%20Gen.pdf
http://www.strikeiron.com/wp-content/uploads/2012/11/strikeiron-data-quality.pdf
http://marketing.reachforce.com/rs/reachforce/images/RF_eBook_Dirty_Data.pdf
http://www.ringlead.com/dirty-data-costs-economy-3-trillion/
http://www.meclabs.com/training/misc/EXCERPT-BMR-2013-Marketing-Analytics.pdf
http://www.zoominfo.com/business/whitepaper-dirty-data
http://www.zoominfo.com/business/products/data-services
The Negative Impact
Dirty Data Has on the
Sales Team
Data has a deep correlation
with sales performance.
of organizations currently
have no strategy to update
inaccurate or incomplete
records
30%
said response rates to email
campaigns were impacted
26%
Organizations with clean data
reported boosted revenue
66%
When organizations were asked to
determine the impact of bad data on the
company here’s what they had to say:
indicated it affected the sales
team’s ability to reach and/or
communicate with prospects in
key organizations
44%
Saves sales teams time
or more leave inaccurate or
incomplete records in their
databases, requiring sales teams
to update records as frequently
as possible
1/31/3
cited direct sales
30%
10
25
50
Conversion rates are roughly 25% higher between
the inquiry and the marketing qualified lead stages
for organizations that have clean data. 75

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The Costly Impact of Data Decay [infographic] | ZoomInfo

  • 1. Many companies are working with B2B databases that are cluttered with outdated, invalid, or incomplete leads. 34% of companies change their names annually 37% of email addresses change annually66% of people’s titles and/or job function change annually 43% of people’s phone numbers change annually 30% of people change jobs annually Bad data impacts all areas of a business, including marketing, lead generation, customer relationships, and finance. Databases decay naturally because people change jobs or titles, companies go out of business, and mergers occur. What you need to know about B2B data decay The U.S. Department of Labor projects a 30 - 40% annual turnover rate in corporate America 30% – 40% of organizations rely on marketing/prospect data that’s 20% – 40% inaccurate 62% of business objectives fail due to inaccurate data 40% of B2B database contacts contain critical errors 10-25% Prospect and customer databases double every 12 – 18 months JAN FEB MAR APR MAY JUNE DEC NOV OCT SEPT AUG JULY JAN FEB MAR APR MAY JUNE Untargeted email campaigns cost 3.6 times more than targeted ones 50% of organizations reported a less than 3% response rate to untargeted email campaigns 50% of businesses suspect that their customer and prospect data is inaccurate 94% of IT budgets are spent on data rehabilitation50% Bad data costs U.S. businesses more than $611 billion each year $100 if nothing is done $10 to scrub and cleanse it later 1-10-100 rule: It costs $1 to verify a record as it’s entered The longer a rotten apple remains in your database, the more expensive it becomes to deal with! ZoomInfo can turn your rotten apples into apple pie! Find out how today by calling www.zoominfo.com 866-904-9666 or visiting Sources: http://www.zoominfo.com/blog/infographic-b2b-data-disorder/ http://www.bls.gov/opub/mlr/2013/05/art2full.pdf http://topliners.eloqua.com/servlet/JiveServlet/previewBody/1675-102-1-1977/Bad%20Data%20Impact%20On%20Demand%20Gen.pdf http://www.strikeiron.com/wp-content/uploads/2012/11/strikeiron-data-quality.pdf http://marketing.reachforce.com/rs/reachforce/images/RF_eBook_Dirty_Data.pdf http://www.ringlead.com/dirty-data-costs-economy-3-trillion/ http://www.meclabs.com/training/misc/EXCERPT-BMR-2013-Marketing-Analytics.pdf http://www.zoominfo.com/business/whitepaper-dirty-data http://www.zoominfo.com/business/products/data-services The Negative Impact Dirty Data Has on the Sales Team Data has a deep correlation with sales performance. of organizations currently have no strategy to update inaccurate or incomplete records 30% said response rates to email campaigns were impacted 26% Organizations with clean data reported boosted revenue 66% When organizations were asked to determine the impact of bad data on the company here’s what they had to say: indicated it affected the sales team’s ability to reach and/or communicate with prospects in key organizations 44% Saves sales teams time or more leave inaccurate or incomplete records in their databases, requiring sales teams to update records as frequently as possible 1/31/3 cited direct sales 30% 10 25 50 Conversion rates are roughly 25% higher between the inquiry and the marketing qualified lead stages for organizations that have clean data. 75