[mintigo webinar] mining for gold in your email house list

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Mining For Gold In Your Email House List Host: Jason Garou*e CMO, Min1go @jgarou*e Guest Presenter: Jeanne Hopkins CMO, Con1nuum.net @jeannehopkins

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Page 1: [Mintigo Webinar] Mining For Gold In Your Email House List

Mining  For  Gold  In    Your  Email  House  List  

Host:  Jason  Garou*e  CMO,  Min1go  @jgarou*e  

Guest  Presenter:  Jeanne  Hopkins  CMO,  Con1nuum.net  @jeannehopkins  

Page 2: [Mintigo Webinar] Mining For Gold In Your Email House List

We  Work  with  Great  Marketers  

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About  Min?go  

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Jeanne  Hopkins  CMO  at  Con1nuum.net  •  Previously  CMO  at  SmartBear  SoBware  •  Previously  VP  of  Marke1ng  at  HubSpot  •  Co-­‐author  of  #1  best  selling  mobile  marke1ng  book  “Go  Mobile”  on  Amazon  

Page 5: [Mintigo Webinar] Mining For Gold In Your Email House List

Mining for Gold in Your Email House List

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SmartBear Email Facts

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•  In Q2 2013, SmartBear sent one marketing email every 2.3 seconds

•  On a typical Tuesday, individual email campaigns will go out to as many as 20-35 different segments in the database

•  Average number of SmartBear emails leads receive per week: 1

•  Average unsubscribe rate: 0.1% •  Average % delivered: 94.3%

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SmartBear Marketing Ninjas

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Team Achievments

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Since Q3 of 2012… •  Grown marketing automation/email marketing “Ninja”

team from 3-9 members (3 core users, 6 “agile” users/contributors, 3 Marketo Champions)

•  Winner of 2013 Marketo Revvie Award for Most Dramatic Business Impact with Marketing Automation for a Small/Medium-Sized Company

•  Winner of 2012 Forrester Groundswell Award for Excellence in Social Media

•  Honorable Mention in 2013 WhichTestWon Email Marketing Awards

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Gary DeAsi – Mintigo Ninja

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Database Segmentation: Behavioral Tagging & Custom Fields

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SmartBear  Database  as  of  September  2012  

SmartBear  Database  as  of  November  2012  

Page 17: [Mintigo Webinar] Mining For Gold In Your Email House List

Relevance of a Targeted Email Campaign to a (Non-Segmented) Mass Audience

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Fit  OR  Interest  (16%)    

NO  Fit,  NO  Interest  (80%)    

Fit  AND  Interest  (4%)  

Fit  (Explicit):  Lead  possesses  key  demographic  or  firmographic  traits  relevant  to  campaign      Interest  (Implicit):  Lead  has  (historically)  demonstrated  behavior  linked  with  (inferred)  relevance  of  campaign  

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Fit  OR  Interest  (16%)  

No  Fit,  No  Interest  Emails  Delivered:  80,000  Average  CTR:  0.5%  Responses:    400  

Fit  OR  Interest  Emails  Delivered:  16,000  Average  CTR:  2.0%  Responses:    320  

Fit  AND  Interest  Emails  Delivered:  4,000  Average  CTR:  6.0%  Responses:    240  

Total  Emails  Delivered:  100,000  Average  CTR:  0.9%  Responses:  960  

+  

+  

=  

Results of a Targeted Email Campaign to a (Non-Segmented) Mass Audience

Fit  AND  Interest  (4%)  

NO  Fit,  NO  Interest    (80%)    

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Without segmentation, you are guessing. Which audiences should we send our new eBooks to this week?

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New  eBooks  this  Week  

Product  A   Product  B   Product  C  

Non-­‐Segmented  Database  

?  

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Results of Targeted Email Campaigns Segmented by Relevance

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Product  A  Segment  1  

Fit  OR  Interest  List  Size:  16K  

Fit  AND  Interest  

4K  

Segment  1    Responses:  560  

+  =  Total  Responses:  1,880  

Fit  OR  Interest  List  Size:  16K  

Fit  AND  Interest  

4K  

Fit  OR  Interest    List  Size:  16K  

Fit  AND  Interest    

4K  

Segment  2  Responses:  560  

Segment  3    Responses:  560  

Segment  4    Responses:  200  

+   +  

No  Fit,  No  Interest  List  Size:  40K  

Product  B  Segment  2  

Product  C  Segment  3  

Proudcts  A/B/C  Segment  4  

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Non-Segmented vs. Segmented

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Non-­‐Segmented  Email  Responses/Send:  960  

Segmented    Email  Responses/Send:  1,880  

X  4weeks  =  3,840  

X  4weeks  =  7,520  

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Growing Your Optimal Audiences

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Interest   Fit  

Time  

•  Over  1me,  your  op1mal  segments  (in  terms  of  relevance  and  engagement)  will  grow  the  more  you  generate  leads,  and  email  and  nurture  them  

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Segmentation gives you options & grows your potential relevant audience(s) for each campaign. Which audiences should we send our new eBooks to this week?

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Persona  1   Persona  2   Persona  3   Persona  4   Persona  5   Persona  6  

New  eBooks  this  Week  

Product  A   Product  B   Product  C  

Poten1al  Segment  to  Send  Content  

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Which products need the most love (this week)?

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Persona  1   Persona  2   Persona  3   Persona  4   Persona  5   Persona  6  

New  eBooks  this  Week  

Product  A   Product  B   Product  C  

Poten1al  Segment  

Chosen  Segment  to  Send  Content  

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Persona  1   Persona  2   Persona  3   Persona  4   Persona  5   Persona  6  

New  eBooks  this  Week  

Product  A   Product  B   Product  C  

Poten1al  Segment  

Sent  Week  1  

Who can we send these eBooks to (next week)?

Sent  Week  2  

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Segmentation: Getting Granular

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Tes?ng   Development   API   Performance   Monitoring  

Persona  (Demographic)  

Behavioral  Interest  

Min?go  DNA  Match  

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Q2 Mintigo Analysis: Job Titles 60% of trials came from 27% of leads!

27%  

60%  

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Segmentation = Engagement

7.6%  8.5%  

9.5%  10.0%  

11.3%  

14.1%  

0.0%  

2.0%  

4.0%  

6.0%  

8.0%  

10.0%  

12.0%  

14.0%  

16.0%  

ABYSS  1   ABYSS  2   Tes1ng   Min1go  Scored  (INT)  

Min1go  Scored  (NA)  

Cross-­‐PG  (Tes1ng  Title)  

%  Opened  

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Segmentation = Engagement

0.6%  

1.0%  

1.7%  1.9%  

3.1%  

4.7%  

0.0%  

0.5%  

1.0%  

1.5%  

2.0%  

2.5%  

3.0%  

3.5%  

4.0%  

4.5%  

5.0%  

ABYSS  1   ABYSS  2   Tes1ng   Min1go  Scored  (NA)  

Min1go  Scored  (INT)  

Cross-­‐PG  (Tes1ng  Title)  

%  Clicked  

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TestComplete DNA Matches 67.6% of TestComplete DNA Matches Not Being Marketed TestComplete!

AlertSite_Customers  

AlertSite_Prospects_Trial  

Net  New  

LoadComplete_Customers  

LoadUI_Customers  

AlertSite_Prospects_NOTrial  

AQ1me_Customers  

TestComplete_Prospects_Trial  

TestComplete_Customers  

Collaborator_Prospects_Trial  

Performance_Prospects.csv  

SoapUI_Customers  

Collaborator_Customers  

Collaborator_Prospects_NOTrial  

SoapUI_Prospects_Trial  

TestComplete_Prospects_NOTrial  

Total  DNA  Matches  from  SmartBear  House  List  Source  

32.4%  

67.60%  

Marketed  TC  

Not  Marketed  TC  

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Segment your database! Segment by: •  Job title •  Lead region (geographic) •  Industry •  Company size •  Lead score •  Behavioral interests •  Viability (Email-ability) •  Lead type (prospects, customers, partners etc.) •  Funnel stage •  Engagement levels •  Technology usage •  Create custom data fields that are most important for your business!

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It’s easier to find gold once you sort through the garbage

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How many members of your database… •  Are unsubscribed? •  Have empty, invalid, or bounced email addresses? •  Have been rejected as non-workable leads by Sales? •  Are customers? Partners? Employees? •  Have not visited your site or opened a single email in the past 3-6

months? •  Do you have almost no demographic data for? •  Were acquired via list purchase vs. created organically? •  Have public domain email addresses? •  Are from geographic locations that you do not sell to? •  Are more than six months old? More than a year? More than 3

years?

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Persona  1   Persona  2  

T   I   P   S  

Drip  A   Drip  B   Drip  C  

R   E   S  P  

Persona-­‐Based  House  Lists  –  Outbound  Email  

TOFU  Persona-­‐Based  Drips  (Pre-­‐Trial)  

MOFU  Tips  and  Reps  (During  Trial)  

BOFU  Reps  (Post-­‐Trial)  

Nurturing, Optimizing the Funnel, Recycling

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Persona  1   Persona  2  

T   I   P   S  

TOFU  A   TOFU  B   TOFU  C  

R   E   S  P  

TOFU  Drips  (Pre-­‐Trial)  

TRACKS  (Inside  Drip)  

1   2   3   4   5   6  

•  Persona  •  Business  Need  •  Funnel  Stage  (TOFU/MOFU)  •  Product  Interest  •  Lead  Region  (NA  vs  INT)  •  Themes/Topic  

Nurturing & Optimizing the Funnel: Tracks

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Persona  1   Persona  2   Persona  3   Persona  4   Persona  5   Persona  6  

T   I   P   S   A   N   D   R   E   S  P  

TF  A   TF  B   TF  C   TF  D   TF  E   TF  F   TF  G   TF  H  

SmartBear Database/Nurturing “Ecosystem” as of Q3 2013

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Custom Segmentation and Nurturing: Hypothetical Example

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Use  Case  or  Theme  1  

Use  Case  or  Theme  2  

Use  Case  or  Theme  3  

Track  1   Track  2   Track  3  

Use  Case  or  Theme  1  

List  1    9,000  Leads  

List  2  12,000  Leads  

List  3  6,500  Leads  

TOFU    Drip  

Use  Case  or  Theme  2  

Use  Case  or  Theme  3  

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Track  1  Using  (Compe1tor)  automated  tes1ng  solu1on    

Manual  tester,  no  auto-­‐tes1ng  solu1on  

Has  automated  tes1ng  experience,  no  solu1on  

Track  2   Track  3  

Track  1  

Tes1ng  Desktop  Applica1ons  

Tes1ng  Mobile  Applica1ons  

Tes1ng  Web  Applica1ons  

Track  2   Track  3  

Track  1  

QA  Tester  or  Engineer  

Other  QA  Manager  

Track  2   Track  3  

Use  Case  

Need  

Job  Title  

Nurture  Tracks  Example:  TestComplete  (Automated  Tes?ng)  

TRACK  1   TRACK  2   TRACK  3  

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Track  1  Using  (Compe1tor)  automated  tes1ng  solu1on    

Manual  tester,  no  auto-­‐tes1ng  solu1on  

Has  automated  tes1ng  experience,  no  solu1on  

Track  2   Track  3  

Track  1  

Tes1ng  Desktop  Applica1ons  

Tes1ng  Mobile  Applica1ons  

Tes1ng  Web  Applica1ons  

Track  2   Track  3  

Track  1  

QA  Tester  or  Engineer  

Other  QA  Manager  

Track  2   Track  3  

Use  Case  

Need  

Job  Title  

TRACK  1   TRACK  2   TRACK  3  

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Track  1  Using  (Compe1tor)  automated  tes1ng  solu1on    

Manual  tester,  no  auto-­‐tes1ng  solu1on  

Has  automated  tes1ng  experience,  no  solu1on  

Track  2   Track  3  

Track  1  

Tes1ng  Desktop  Applica1ons  

Tes1ng  Web  Applica1ons  

Track  2   Track  3  

Track  1  

QA  Tester  or  Engineer  Other   QA  Manager  

Track  2   Track  3  

Use  Case  

Need  

Job  Title  

TRACK  1   TRACK  2   TRACK  3  

Tes1ng  Mobile  Applica1ons  

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Get the most out of our leads

Trial  Product  A  

House  List/  POFU  Drip  Product  A  

TOFU  DRIP  Product  B  

TOFU  DRIP  Product  C  

TOFU  DRIP  Product  D  

Route    by:  •  Demographics  (Job  Title)  •  Behavior  •  Min1go  DNA  Match  

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Outbound  Email  

Paid  Media  

PPC   Website   Social  Media  

Blog  

MQIs  

TOFU  Drip  

MQLs  

Use Your Channels to Feed Your Nurture Paths

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Q&A  and  Next  Steps  Request  a  Live  Demo  of  Min1go  

Get  the  ebook  on  “Crea1ng  Personas  For  B2B  Marke1ng”  

Interested?        [email protected]