SlideShare ist ein Scribd-Unternehmen logo
1 von 17
Case Study:
Improving Email
Performance
Client: Major Technology Conference
Email opens and clicks
increased by 20 - 40%
Rules-Based, Data-Driven Method
Background: Baseline Emails vs. Improved Emails
● For the 2013 conference, the client sent 20 promotional emails.
● For the 2014 conference, the client sent 27 emails divided as follows:
○ The initial 17 emails in 2014 were sent prior to applying improvement
methods.
○ The final 10 emails in 2014 were improved using the methods
described in coming slides.
● The last 10 sent in 2013 and the first 17 sent in 2014 served as the
baselines for comparison.
Measures of Email Effectiveness
● Opens lead to clicks. Measure of the Subject Line’s
effectiveness.
● Clicks lead to downloads. Measures the effectiveness of
the content in the email.
● Clicks/Opens provides an additional measure of the
effectiveness of Subject Lines and email content.
Method to Improve Subject Lines
Method:
● One tool identifies “Good” Words and “Bad” Words in Subject Lines as
measured by open and click percentages.
● The second scores multiple variables for improvement, such as number of
characters, too much punctuation,etc.
● Then applied copywriting skills to use optimally performing words and
technical accuracy.
Rules to Improve Subject Lines
3 Simple Rules:
1. Insert one or more “Good” words that increase both Opens and Clicks.
1. Delete any “Bad” words that decrease Opens or Clicks.
1. Edit the subject line as suggested by the second tool.
Then edit subject line per rules above to include technical accuracy.
Email Groups Compared
Group of Improved emails = Last 10 in 2014
Against two unimproved groups of emails:
● 1st 17 emails in 2014
● 2nd 10 emails in 2013
Improved vs. 2014 Baseline = + 20%
Email Group % Opens
10 Improved Emails – 2014 11%
17 Baseline Emails 2014 9%
Improvement 20%+
● All 10 improved emails:
○ Outperformed the
overall 2014 Opens
average for all 27
emails.
○ Lowest improved
email was 10% vs.
6% for 2014
baseline.
Improved Emails vs. 2013 Baseline = +40% Opens
Email Group % Opens
10 Improved Emails – 2014 11%
Last 10 emails in 2013 8%
Improvement 40%
Comparison of Improved 2014
Opens to Opens for the last 10
emails in 2013.
● All 10 improved emails were 10% or
better.
● Lowest single email Opens in 2013
= 6%.
Before and After Applying Rules-Based Method:
3 out of 4 individual emails = +60% Opens
Email Title
Opens
Improvement %
Tech Subject #1 58%
Event Highlights 64%
Tech Subject #2 59%
Tech Subject #3 16%
The four email titles (at right) were sent in early
“unimproved” emails. The same titled emails
were re-sent following improvement in the last 10
emails.
Opens Comparison:
● 60% improvement for 3 of the 4 email titles.
Example of Rules-Based Method
1. Original Subject Line Sent on 9/24:
Get the scoop on (Tech subject #1)! Optical speeds at silicon prices!
1. Tool #1 - Identified “Good” and “Bad” Words
2. Tool #2 - Subject line was too long and two !!’s
3. Edited version based on rules:
(Tech subject #1) for 100 Gbps Plus
4. Result: (+60% in Opens)
Results of Rule-Based Method
#1: The tools worked well, were easy to use, and could be quickly applied.
Improved emails outperformed baseline Opens by 30%.
#2: All 10 of the improved emails performed above the overall 2014 average.
Click % Increases 16%-35%
Comparison of Improved
2014 emails to:
Improvement in
Click %
17 Baseline Emails
2014
16%
Last 10 emails in 2013 35%
● Clicks% is a measure of the quality of the
content in the body of the email.
● Content includes every element in the body
of the email (graphics, layout, headline,
copy, etc).
● Additional task: Also applied “Good/Bad”
word tool to improve headlines in the email
body copy.
3 of 4 Emails Improved clicks by 120-300%
Comparison of Same-Topic Emails
Email Title
Clicks %
Improvement
Technical Topic #1 294%
Event Highlights 288%
Technical Topic #2 120%
Technical Topic #3
0%
Same four email topics as in the Opens
comparison:
● 120-300% improvement for 3 of the 4
emails.
Clicks/Opens Means Work on Content
● All three email groups averaged
approximately 5% in clicks to opens
(includes both baseline groups and improved
emails).
● Insight: Event emails need to improve the
quality of the body content to improve clicks.
(Includes graphics, body copy, registration
design, and “thought-flow” in the email.
Summary of 2014 Rule-Based Method:
● Opens improved 22 - 38% compared to two baseline groups.
● Direct comparison for same topic emails showed a big increase in both
clicks and opens.
● Clicks improved by 16% vs. 2014 baseline.
● Clicks/Opens for all three groups was about 5%.
See Next slide for Recommendations
* In-depth details on all data reported here available on request.
Next Steps....
Think about what a 10%, 20% or more increase in Clicks %
would mean to your marketing efforts. Learn More:
Phone: +1-707-843-5088
Email: Lstein@SteinWrites.com
Writing Samples
Thank you!

Weitere ähnliche Inhalte

Mehr von Stein Writes Inc.

Data Center Survey: How Many IOPS Is Enough. Compares to site capacity and sy...
Data Center Survey: How Many IOPS Is Enough. Compares to site capacity and sy...Data Center Survey: How Many IOPS Is Enough. Compares to site capacity and sy...
Data Center Survey: How Many IOPS Is Enough. Compares to site capacity and sy...Stein Writes Inc.
 
Open Source in Storage -- Myth or Reality?
Open Source in Storage -- Myth or Reality?Open Source in Storage -- Myth or Reality?
Open Source in Storage -- Myth or Reality?Stein Writes Inc.
 
Monster Trends in Enterprise Tech: The Flash Disruption and What it Means for...
Monster Trends in Enterprise Tech: The Flash Disruption and What it Means for...Monster Trends in Enterprise Tech: The Flash Disruption and What it Means for...
Monster Trends in Enterprise Tech: The Flash Disruption and What it Means for...Stein Writes Inc.
 
Google Search: Tips & Tricks for Technology Marketers
Google Search: Tips & Tricks for Technology MarketersGoogle Search: Tips & Tricks for Technology Marketers
Google Search: Tips & Tricks for Technology MarketersStein Writes Inc.
 
Overcoming SSD Reliability and Safety
Overcoming SSD Reliability and SafetyOvercoming SSD Reliability and Safety
Overcoming SSD Reliability and SafetyStein Writes Inc.
 
Real Time Big Data (w/ NoSQL)
Real Time Big Data (w/ NoSQL)Real Time Big Data (w/ NoSQL)
Real Time Big Data (w/ NoSQL)Stein Writes Inc.
 

Mehr von Stein Writes Inc. (6)

Data Center Survey: How Many IOPS Is Enough. Compares to site capacity and sy...
Data Center Survey: How Many IOPS Is Enough. Compares to site capacity and sy...Data Center Survey: How Many IOPS Is Enough. Compares to site capacity and sy...
Data Center Survey: How Many IOPS Is Enough. Compares to site capacity and sy...
 
Open Source in Storage -- Myth or Reality?
Open Source in Storage -- Myth or Reality?Open Source in Storage -- Myth or Reality?
Open Source in Storage -- Myth or Reality?
 
Monster Trends in Enterprise Tech: The Flash Disruption and What it Means for...
Monster Trends in Enterprise Tech: The Flash Disruption and What it Means for...Monster Trends in Enterprise Tech: The Flash Disruption and What it Means for...
Monster Trends in Enterprise Tech: The Flash Disruption and What it Means for...
 
Google Search: Tips & Tricks for Technology Marketers
Google Search: Tips & Tricks for Technology MarketersGoogle Search: Tips & Tricks for Technology Marketers
Google Search: Tips & Tricks for Technology Marketers
 
Overcoming SSD Reliability and Safety
Overcoming SSD Reliability and SafetyOvercoming SSD Reliability and Safety
Overcoming SSD Reliability and Safety
 
Real Time Big Data (w/ NoSQL)
Real Time Big Data (w/ NoSQL)Real Time Big Data (w/ NoSQL)
Real Time Big Data (w/ NoSQL)
 

Kürzlich hochgeladen

Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanMYRABACSAFRA2
 
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degreeyuu sss
 
9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home ServiceSapana Sha
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPTBoston Institute of Analytics
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryJeremy Anderson
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改yuu sss
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfchwongval
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptxthyngster
 
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsappssapnasaifi408
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDRafezzaman
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfSocial Samosa
 
Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Colleen Farrelly
 
MK KOMUNIKASI DATA (TI)komdat komdat.docx
MK KOMUNIKASI DATA (TI)komdat komdat.docxMK KOMUNIKASI DATA (TI)komdat komdat.docx
MK KOMUNIKASI DATA (TI)komdat komdat.docxUnduhUnggah1
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...dajasot375
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.natarajan8993
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 

Kürzlich hochgeladen (20)

Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population Mean
 
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
 
9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data Story
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdf
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
 
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
 
Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024
 
MK KOMUNIKASI DATA (TI)komdat komdat.docx
MK KOMUNIKASI DATA (TI)komdat komdat.docxMK KOMUNIKASI DATA (TI)komdat komdat.docx
MK KOMUNIKASI DATA (TI)komdat komdat.docx
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 

Email improvement case study

  • 2. Email opens and clicks increased by 20 - 40% Rules-Based, Data-Driven Method
  • 3. Background: Baseline Emails vs. Improved Emails ● For the 2013 conference, the client sent 20 promotional emails. ● For the 2014 conference, the client sent 27 emails divided as follows: ○ The initial 17 emails in 2014 were sent prior to applying improvement methods. ○ The final 10 emails in 2014 were improved using the methods described in coming slides. ● The last 10 sent in 2013 and the first 17 sent in 2014 served as the baselines for comparison.
  • 4. Measures of Email Effectiveness ● Opens lead to clicks. Measure of the Subject Line’s effectiveness. ● Clicks lead to downloads. Measures the effectiveness of the content in the email. ● Clicks/Opens provides an additional measure of the effectiveness of Subject Lines and email content.
  • 5. Method to Improve Subject Lines Method: ● One tool identifies “Good” Words and “Bad” Words in Subject Lines as measured by open and click percentages. ● The second scores multiple variables for improvement, such as number of characters, too much punctuation,etc. ● Then applied copywriting skills to use optimally performing words and technical accuracy.
  • 6. Rules to Improve Subject Lines 3 Simple Rules: 1. Insert one or more “Good” words that increase both Opens and Clicks. 1. Delete any “Bad” words that decrease Opens or Clicks. 1. Edit the subject line as suggested by the second tool. Then edit subject line per rules above to include technical accuracy.
  • 7. Email Groups Compared Group of Improved emails = Last 10 in 2014 Against two unimproved groups of emails: ● 1st 17 emails in 2014 ● 2nd 10 emails in 2013
  • 8. Improved vs. 2014 Baseline = + 20% Email Group % Opens 10 Improved Emails – 2014 11% 17 Baseline Emails 2014 9% Improvement 20%+ ● All 10 improved emails: ○ Outperformed the overall 2014 Opens average for all 27 emails. ○ Lowest improved email was 10% vs. 6% for 2014 baseline.
  • 9. Improved Emails vs. 2013 Baseline = +40% Opens Email Group % Opens 10 Improved Emails – 2014 11% Last 10 emails in 2013 8% Improvement 40% Comparison of Improved 2014 Opens to Opens for the last 10 emails in 2013. ● All 10 improved emails were 10% or better. ● Lowest single email Opens in 2013 = 6%.
  • 10. Before and After Applying Rules-Based Method: 3 out of 4 individual emails = +60% Opens Email Title Opens Improvement % Tech Subject #1 58% Event Highlights 64% Tech Subject #2 59% Tech Subject #3 16% The four email titles (at right) were sent in early “unimproved” emails. The same titled emails were re-sent following improvement in the last 10 emails. Opens Comparison: ● 60% improvement for 3 of the 4 email titles.
  • 11. Example of Rules-Based Method 1. Original Subject Line Sent on 9/24: Get the scoop on (Tech subject #1)! Optical speeds at silicon prices! 1. Tool #1 - Identified “Good” and “Bad” Words 2. Tool #2 - Subject line was too long and two !!’s 3. Edited version based on rules: (Tech subject #1) for 100 Gbps Plus 4. Result: (+60% in Opens)
  • 12. Results of Rule-Based Method #1: The tools worked well, were easy to use, and could be quickly applied. Improved emails outperformed baseline Opens by 30%. #2: All 10 of the improved emails performed above the overall 2014 average.
  • 13. Click % Increases 16%-35% Comparison of Improved 2014 emails to: Improvement in Click % 17 Baseline Emails 2014 16% Last 10 emails in 2013 35% ● Clicks% is a measure of the quality of the content in the body of the email. ● Content includes every element in the body of the email (graphics, layout, headline, copy, etc). ● Additional task: Also applied “Good/Bad” word tool to improve headlines in the email body copy.
  • 14. 3 of 4 Emails Improved clicks by 120-300% Comparison of Same-Topic Emails Email Title Clicks % Improvement Technical Topic #1 294% Event Highlights 288% Technical Topic #2 120% Technical Topic #3 0% Same four email topics as in the Opens comparison: ● 120-300% improvement for 3 of the 4 emails.
  • 15. Clicks/Opens Means Work on Content ● All three email groups averaged approximately 5% in clicks to opens (includes both baseline groups and improved emails). ● Insight: Event emails need to improve the quality of the body content to improve clicks. (Includes graphics, body copy, registration design, and “thought-flow” in the email.
  • 16. Summary of 2014 Rule-Based Method: ● Opens improved 22 - 38% compared to two baseline groups. ● Direct comparison for same topic emails showed a big increase in both clicks and opens. ● Clicks improved by 16% vs. 2014 baseline. ● Clicks/Opens for all three groups was about 5%. See Next slide for Recommendations * In-depth details on all data reported here available on request.
  • 17. Next Steps.... Think about what a 10%, 20% or more increase in Clicks % would mean to your marketing efforts. Learn More: Phone: +1-707-843-5088 Email: Lstein@SteinWrites.com Writing Samples Thank you!