Must-See Data Practices in Marketing Automation

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[email protected] (212) 390-0082 linkedin.com/ingaromanoff @ingaroma MustSee Data Prac.ces in Marke.ng Automa.on [email protected] (212) 390-0082 linkedIn.com/in/ingaromanoff @ingaroma April 8, 2015

Transcript of Must-See Data Practices in Marketing Automation

Page 1: Must-See Data Practices in Marketing Automation

[email protected] (212) 390-0082 linkedin.com/ingaromanoff @ingaroma

Must-­‐See  Data  Prac.ces  in  Marke.ng  Automa.on  

[email protected] (212) 390-0082 linkedIn.com/in/ingaromanoff @ingaroma

April  8,  2015  

Page 2: Must-See Data Practices in Marketing Automation

[email protected] (212) 390-0082 linkedin.com/ingaromanoff @ingaroma

OUR  AGENDA  Must-­‐See  Data  Prac.ces  in  Marke.ng  Automa.on  

Why  Should  I  Care  About  Data  Quality    

Data  Horror  Stories  

6-­‐Step  Program  to  Data  Quality  

Preview  of  Marketo  Tips  &  Tricks  

 #dataquality  

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Why  Should  I  Care  About  Data  Quality?  

“25  percent  of  the  average  B2B  marketer’s  database  contains  cri.cal  data  errors”  

 “…a  strong  organiza.on  will  realize  nearly  70  percent  more  revenue  than  an  average  organiza.on  purely  based  on  data  quality”  

   -­‐  SiriusDecisions  study  

 

1  2015  Experian  The  data  quality  benchmark  report  2  Ascend2  Marke.ng  Automa.on  Benchmark  Survey,  July  2014  3  2014  Netprospex  Annual  Marke.ng  Data  Benchmark  Report  

COMPANIES  DO  NOT  HAVE  A  SOPHISTICATED  APPROACH  TO  DATA  QUALITY1  

74%  

MARKETERS  SAY  DATA  QUALITY  IS  THE  BIGGEST  OBSTACLE  TO  MARKETING  AUTOMATION  SUCCESS  

36%  

COMPANIES    WITH  CENTRAL  DATA  MGTMT  HAD  A  SIGNIFICANT  INCREASE  IN  PROFITS1  

53%  

RECORDS  ANALYZED  WERE  LACKING  FIRMOGRAPHIC  DATA3  

88%  

Data  Quality  Facts  

 #dataquality  

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Why  Should  I  Care  About  Data  Quality?  

Total  Leads  250,000  Bad  Data  ~25%  @  average  CPL  $50    Cost  of  Bad  Data  >  $3,000,000  

COMPANIES  DO  NOT  HAVE  A  SOPHISTICATED  APPROACH  TO  DATA  QUALITY1  

74%  

MARKETERS  SAY  DATA  QUALITY  IS  THE  BIGGEST  OBSTACLE  TO  MARKETING  AUTOMATION  SUCCESS  

36%  

COMPANIES    WITH  CENTRAL  DATA  MGTMT  HAD  A  SIGNIFICANT  INCREASE  IN  PROFITS1  

53%  

RECORDS  ANALYZED  WERE  LACKING  FIRMOGRAPHIC  DATA3  

88%  

Data  Quality  Facts  

1  2015  Experian  The  data  quality  benchmark  report  2  Ascend2  Marke.ng  Automa.on  Benchmark  Survey,  July  2014  3  2014  Netprospex  Annual  Marke.ng  Data  Benchmark  Report  

 #dataquality  

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Data Horror Stories

 #dataquality  

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Internal  Data  Quality  Issues  • Launch of personalization • First Name values

•  “Idiot” •  “No Longer with Company” •  “Changed Jobs” •  “Difficult” •  “Do Not Call”

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 #dataquality  

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External  Data  Quality  Issues  • New Form with two fields

•  Email Address •  Zip Code

• Perceived by prospects as a LOGIN page

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 #dataquality  

Page 8: Must-See Data Practices in Marketing Automation

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“Quality is never an accident…” ~Will A. Foster

Tweet  #dataquality  

 #dataquality  

Page 9: Must-See Data Practices in Marketing Automation

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9    6-­‐Step  Program  to    

Data  Quality  

1. Perform data audit

2. Perform systems audit

3. Revise data capture processes

4. Correct data errors

5. Implement email alerts and reports

6. Manage data quality across the

organization

 #dataquality  

Page 10: Must-See Data Practices in Marketing Automation

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Tips and Tricks

Tweet  #dataquality  

 #dataquality  

Page 11: Must-See Data Practices in Marketing Automation

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External  Data  Capture  • Restrict data inputs • Use values pre-population • Turn on field validation • Don’t allow the update of the

email address on the form

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 #dataquality  

Page 12: Must-See Data Practices in Marketing Automation

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Sales  Inputs  • Conduct training • Capture fields needed for

marketing • Avoid text fields • Use picklists

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 #dataquality  

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CRM  Sync  Failures  • Automated Marketo alerts in

Notifications section • Trigger campaigns to track and re-

try CRM sync

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 #dataquality  

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CRM  Sync  –  Error  Reports  14  

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CRM  Sync  -­‐  Failure  Alert  Email  15  

 #dataquality  

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Duplicate  Records  • Email notifications • Weekly reports • Mass merging with

Marketo Easy Merge

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 #dataquality  

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Duplicate  Records  -­‐  Alerts  17  

 #dataquality  

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Duplicate  Records  • Email notifications • Weekly reports • Mass merging with

Marketo Easy Merge

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 #dataquality  

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Data  Normaliza.on    •  First letter of First and Last

Name • Country •  State

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 #dataquality  

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Data  Normaliza.on    •  First letter of First and Last

Name • Country •  State

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 #dataquality  

Page 21: Must-See Data Practices in Marketing Automation

[email protected] (212) 390-0082 linkedin.com/ingaromanoff @ingaroma

Summary  

Audit Clean-Up

Prevent Sustain

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 #dataquality  

Page 22: Must-See Data Practices in Marketing Automation

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Thank  You  

Tweet  #dataquality  

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[email protected] (212) 390-0082 linkedin.com/ingaromanoff @ingaroma

Inga  Romanoff  is  a  mul.-­‐year  Marketo  Champion,  an  award-­‐winning  Marke.ng  Automa.on  consultant,  Marketo-­‐cer.fied  with  advanced  specializa.on  in  Advanced  Analy.cs.  She  is  a  Global  Marke.ng  Professional  with  15+  years  of  success  in  driving  growth  in  B2B  and  B2C  environment.    Inga  serves  as  a  Marketo  User  Group  leader  in  New  York.      

Core  Competencies  • Marke.ng  Automa.on  &  Demand  Genera.on  •  Sales  Enablement  •  Data  and  Systems  Architecture  • Measurable  Demand  Genera.on  Programs  •  Complex  Lead  Nurturing  Campaigns  •  Lead  qualifica.on  and  Sales  Funnel  Op.miza.on  •  Email  Marke.ng  Strategy  •  Sales  and  marke.ng  KPIs  and  dashboards    

Q&A  

Inga  Romanoff  President/CEO  

Romanoff  Consul.ng  www.ingaromanoff.com  

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