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Ecommerce Quarterly

EQ2 2013:

Email Engagement
a publication from
EQ2 2013
Table of Contents
Executive Summary									 3
About the EQ 										 4
Make the Email Experience the Right Experience 				 5
The Potential Value of Small Segments 						 7
Benchmark Reports 									 11
Methodology 										 23
References 										 23
About Monetate 										 24

a monetate publication | 2
EQ2 2013
Executive Summary
As you read EQ2 2013, more than half of the year is over and ecommerce

Within the past two years, visits from smartphone and tablet users to

businesses are preparing for the busy holiday season. These final few

leading ecommerce websites has increased from just under 7% to now

months often determine a year’s success, which, in turn, impacts future

more than 22% of total website traffic. But despite the continued uptick in

investments in technology and marketing in an effort to build customer

mobile website traffic, conversion rates of smartphone users remain well

reach, engagement, interaction, and revenue.

below that of shoppers using traditional computers and tablets.

According to key metrics used to measure ecommerce success, 2013 has

While a lot of attention is going to native apps or responsive web design,

thus far been undoubtedly positive. For instance, same-store website

focusing on delivering relevant website experiences for mobile and tablet

traffic for the more than 600 million quarterly visits that comprise this

shoppers can result in increases in these and other important metrics.

release of the Ecommerce Quarterly (EQ) increased 17.60% in one year,
while the same companies experienced an 8.16% gain in average order
value (AOV). In fact, AOV was higher in the second quarter of 2013 ($115.27)
than the traditionally strong fourth quarter ($113.05) of 2012.

EQ2 2013 also examines diminishing returns from email, and offers new
strategies on how to increase engagement by considering the real-time
relevancy of email messages. Similar to how successful brands change
the customer experience on their websites, marketers can use “open-time

These positive signs coincide with second quarter ecommerce estimates

personalization,” which dynamically changes the email when the recipient

from the U.S. Department of Commerce, which include an 18.4% year-over-

opens it, creating relevant email campaigns based on context and behavior

year increase in ecommerce sales.1 But while these statistics—as well as many

that increase click-through rates and reduce list attrition.

of the EQ’s benchmark reports—point to a strong year for ecommerce, there
are still some concerns, specifically around mobile and email.

Lastly, EQ2 2013 takes a look at geotargeting customer segments that can
have an immediate impact on a business by either attracting more visitors

Produced annually in partnership between Shop.org and Forrester

from a certain state, region or country, or by delivering more relevant on-

Research, “The State of Retailing Online 2013: Key Metrics and Initiatives”

site experiences based on the location of website visitors. But how do

study reveals that 29% of retailers believe mobile traffic and sales

you know what to focus on? A new metric that Monetate has developed,

negatively impact their overall conversion rates.2

known as Impact Score, can help.

a monetate publication | 3
EQ2 2013
About the EQ
As ecommerce companies look for ways to increase customer engagement

The EQ also includes EQ Takeaways, ideas and best practices used by

and sales in a highly competitive online environment, they’re faced with

leading ecommerce websites, based on insights gained from the more

challenges centered on massive amounts of data. This big data conundrum

than 600 million online shopping sessions that contribute to the analysis

goes beyond the collection and storage of information about customers

and benchmark reports found in every release.

and prospects.
Using a combination of historical and real-time data allows ecommerce
marketers to glean meaningful insights, resulting in more relevant
shopping experiences that drive loyal customers who share their
experiences with others. Ecommerce businesses that tackle big data headon focus their attention on different customer segments that continue to
be explored in every release of the Ecommerce Quarterly (EQ):

•	 Predefined: New versus returning; referring
traffic sources; technographics; geography.
•	 Custom or Proprietary: Demographics;
proximity to location.
•	 On-Site Behavior: Shopping cart
activity; brand or category affinity.
•	 Behaviors Across the Web: Browsing and purchase
patterns demonstrated on third-party websites.
a monetate publication | 4
EQ2 2013
Make the Email Experience the Right Experience
Customers demand relevant and meaningful interactions with your brand,

To compensate, many marketers will just send more email. In Shop.org’s

which often begin with how they reach your website.

study, 80% of retailers indicated that they will spend more on emailing

On average, 55% of retailers’ interactive marketing spend goes to paid
search and email, according to Shop.org’s “The State of Retailing Online
2013: Marketing & Merchandising,” released in July. And marketers spend
$92 on driving traffic to their websites for every $1 they spend converting
that traffic.3
Both referral traffic and conversion rates to leading ecommerce websites

their house list in 2013.4 The result of this strategy is likely a downward
spiral: The more emails marketers send, the more customers unsubscribe
or mark the email as spam. And because revenue then declines, marketers
send even more emails, perpetuating the negative cycle.

3.56%

3.34%

from email decreased since last year. In addition, the number of samestore purchases from email is down 30.66% in the past 12 months.

2.12%

Q2 2012

3.75%

1.94%

Q2 2013

26%

2.36%

0.79%

0.62%
Email

Search
Q2 2012

Email Referrer Traffic

Social

Email

Search

Social

Q2 2013

Conversion Rates by Traffic Source
a monetate publication | 5
EQ2 2013

Takeaways
But what can be done when there’s a drastic year-over-year drop in website
traffic from the email channel? Not unlike the experience customers have
on websites, email messages must be based on behaviors and data to be
more effective. Circumstances can change from the time an email is sent,
to when it is actually opened. For example, after receiving an email, a busy
consumer could visit another part of the country where a climate change
drives different needs, while another shopper, before opening the email,
looks on your website at only one particular brand.
No two consumers think or behave in the same way. That’s why testing
entire emails—or sections within an email—to determine the types of
messages that different customer segments will most likely respond to
also remains crucial to the success of any campaign.
Successful email marketing involves understanding what works, and how
much money is driven to your business. The result is smarter marketing
and more intelligent emails that maximize click-through rates and overall
performance.

•	 Use “open-time personalization” in your emails. Most email content,
if personalized at all beyond “Dear [First Name],” changes at the time
the message is sent or, even worse, when the email campaign’s list is
selected within an email service provider (ESP).
	 Open-time personalization targets offers and creative to the moment
when a customer actually opens the email. This makes it easy for
marketers to account for how their customers’ context and behaviors
change, while increasing important email and website metrics, such as
click-through and conversion rates.
	 Consider what could change from the time you deploy a campaign to
when the recipient actually opens the email. For instance, a customer
could visit your website directly and either view or purchase additional
products after the email is sent, while another shopper opens the email
on his iPhone inside your store or in close proximity to one of your
competitor’s stores.
	 Plus, with open-time personalization, you can deliver relevant
experiences right to a customer’s inbox. From intelligent product
recommendations to offers timed to current or forecasted weather,
marketers have more freedom to help determine the right experience.
•	 Connect relevant emails with great on-site experiences after your
customers click through. From click to conversion, customers should
see consistent experiences that span every page of your website
reinforcing the offer in the email. Use website creative and messaging
to echo the reason why the potential buyer responded to the offer.

a monetate publication | 6
EQ2 2013
The Potential Value of Small Segments	
When evaluating the performance of your customer segments, whether it’s

A great example of this is website traffic from smartphones. When looking

simply new versus returning visitors or a more targeted group, you’ll likely

at RPS for the past five calendar quarters, you might think that everything

notice that some perform well, but don’t represent a significant amount of

is fine. After all, traffic continued to move in a positive direction.

visitors compared to overall traffic. These high-potential segments should
not be discounted; rather, marketers should prioritize them and determine
where to spend more resources in the future.

With Impact Score, you notice a potential problem when looking at
smartphone traffic over the past five calendar quarters. There was a
significant drop in Impact Score during Q4, while RPS increased. The reality

Compare high-impact segments to these groups of customers with high

is that smartphone customers represented a big loss in potential revenue

potential. The simplest way to differentiate the two is to consider that a

despite an increase in smartphone traffic and RPS.

high-impact segment has a positive key performance indicator (KPI)—
such as revenue per session (RPS) or conversion rate—and a large volume

12.44%

of traffic, while a segment with high potential likely has a similar strong

Smartphone

11.49%

KPI, but less traffic.
Tablet

When you consider Impact Score—the potential overall value of a

9.57%

customer segment to your business—you’ll discover a new way to rank

8.91%

customers by their potential based on the size of a customer segment and
its performance against your website’s average. More precisely, Impact
Score is the difference between the rate of a behavior in one customer
segment from the rate of a behavior in all website visitors multiplied by the

7.89%

9.51%

9.69%

9.63%

8.55%

7.31%
Q2

number of visitors in the same segment.

Q3
2012

Q4

Q1

Q2
2013

Website Visits by Device
a monetate publication | 7
EQ2 2013
Smartphone Revenue Per Session
$1.20
$1.11
$1.06
$0.89
$0.84
Q2

Q3

Q4

2012

Q1

Q2
2013

Smartphone RPS

Learn more about Impact Score.
Download “Introducing Impact Score”
at monetate.com/impactscore

Impact Score

a monetate publication | 8
EQ2 2013

Without improving the purchasing experience for your mobile visitors, this

Finally, you can’t give website visitors new iPads just because tablet traffic

negative impact will be even greater as more traffic comes to your website

is getting an increasing share of visits and converts just as well as traffic

from smartphones. Within only the past year, combined smartphone and

from traditional computers. However, there is a tremendous opportunity

tablet traffic grew from 15.2% to 22.13%.

to increase revenue with better on-site experiences when you consider

While it appears now that there’s something interesting to work on, you
actually could have started to optimize your website for mobile traffic

that a nearly equal share of traffic from smartphone users has a lower
conversion rate.

earlier, after seeing the dip in Impact Score.

Device Share of Website Traffic
7.89%

9.69%

7.31%
12.44%

84.80%

77.87%

Q2 2012

Q2 2013
Smartphone

Tablet

a monetate publication | 9

Traditional
EQ2 2013

Showing these visitors relevant messages and improving the customer
experience provides a more measurable way of knowing just how
important this segment is to your business. Stay ahead, prioritize, and

Q2 2013 Conversion Rates by Device
Traditional

2.56%

Tablet

2.54%

make decisions based on what data tells you. Use your inbound channels
and iterative on-site testing and optimization strategies to deliver the right
message to the right customer at the right time.

Smartphone

0.96%

Takeaways
•	 Understand which customer segments an online experience worked
for and where that same experience wasn’t as effective. Then take
action to carve out more of the high performers, while running
additional experiments to find something else that works better for
customers who didn’t respond as well.
•	 Build customer relationship over time. Your goal should be to discover
what an individual customer means to your brand by putting each
one at the center of your organization and tying data to analysis to
understand who are your most important customers to acquire and
retain.

Q2 2013 Average Order Value by Device
Traditional

$115.74

Tablet

$113.15

Smartphone

$112.73

•	 Don’t separate the ability to know your customer from the ability to
take action. If you can’t combine knowledge with action, everything
you know about your prospects and customers is useless.

a monetate publication | 10
EQ2 2013
Benchmark Reports

TABLET
SMARTPHONE

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

Traditional

84.80%

82.54%

80.92%

78.88%

77.87%

Tablet

7.31%

8.55%

9.57%

11.49%

12.44%

Smartphone

7.89%

8.91%

9.51%

9.63%

9.69%

iPad

OVERALL

Website Visits by Device

91.68%

90.18%

91.02%

90.83%

90.63%

Kindle Fire

3.58%

4.11%

2.98%

2.15%

1.74%

Android

4.75%

5.71%

6.00%

7.02%

7.63%

iPhone

60.23%

60.00%

60.61%

63.89%

62.73%

Android

38.30%

38.33%

37.97%

34.85%

35.92%

Windows

0.90%

0.89%

0.91%

1.01%

1.16%

Other

0.57%

0.77%

0.51%

0.25%

0.19%

Website Visits by Traffic Source

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

Search

33.33%

34.62%

32.75%

31.91%

32.90%

Social

1.95%

1.70%

1.21%

1.33%

1.11%

Email

3.75%

3.49%

3.97%

3.05%

2.36%

a monetate publication | 11
EQ2 2013

Conversion Rates

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

U.S.

2.90%

2.80%

2.85%

2.37%

2.60%

International

1.12%

1.08%

1.14%

0.89%

0.89%

Conversion Rates

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

New

1.95%

1.94%

2.12%

1.58%

1.69%

Returning

3.46%

3.33%

3.27%

2.82%

3.14%

Add-to-Cart Rates

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

U.S.

8.68%

8.85%

10.02%

9.09%

9.00%

International

6.56%

6.62%

7.25%

6.35%

6.30%

Add-to-Cart Rates

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

New

6.08%

6.30%

7.33%

6.47%

6.19%

Returning

10.99%

11.18%

12.31%

11.09%

11.30%

a monetate publication | 12
EQ2 2013

TABLET
SMARTPHONE

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

Traditional

2.85%

2.80%

2.90%

2.35%

2.56%

Tablet

2.53%

2.43%

2.56%

2.27%

2.54%

Smartphone

0.82%

0.77%

0.86%

0.84%

0.96%

iPad

OVERALL

Conversion Rates by Device

2.58%

2.49%

2.62%

2.32%

2.60%

Kindle Fire

1.65%

1.51%

1.65%

1.46%

1.56%

Android

2.47%

2.24%

2.13%

1.91%

2.00%

iPhone

0.79%

0.77%

0.90%

0.83%

1.01%

Android

0.89%

0.79%

0.82%

0.85%

0.88%

Windows

0.73%

0.75%

0.72%

0.77%

0.77%

Other

0.03%

0.22%

0.39%

0.45%

0.38%

a monetate publication | 13
EQ2 2013
Conversion Rates by Device

Q2 2012

Q3 2012

Q4 2012

OVERALL

Traditional

Q1 2013

Q2 2013

Q2 2013 Impact Score
Traditional
iPad

Tablet

Tablet
Other

Smartphone

Windows Phone
Kindle Fire

iPad
TABLET

Android Tablet

Kindle Fire

Android Phone
iPhone

Android

Smartphone

iPhone
SMARTPHONE

What you see here…
The mean—or average—for the respective
key performance indicator is represented
by the dotted lines. Negative Impact Scores
appear in red, while positive Impact Scores
are blue. The distance between Impact
Score and the mean represent the relative
additional opportunity for the specific
customer segment.

Android
Windows
Other

a monetate publication | 14
EQ2 2013

Conversion Rates by Traffic Source

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

Search

2.12%

1.99%

2.27%

1.81%

1.94%

Social

0.62%

0.71%

0.85%

0.69%

0.79%

Email

3.56%

3.50%

3.40%

2.91%

3.34%

Conversion Rates by Device

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

Q2 2013 Impact Score

Search
Email
Social

Social

Search

Email

Learn more about Impact Score.
Download “Introducing Impact Score”
at monetate.com/impactscore

a monetate publication | 15
EQ2 2013

Add-to-Cart Rate by Referrer

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

Email

10.51%

10.59%

11.48%

10.46%

10.73%

Search

6.64%

6.59%

7.84%

6.74%

6.81%

Social

2.52%

3.03%

3.75%

3.23%

3.37%

Average Page Views by Referrer

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

Email

9.09

9.46

9.12

9.11

8.84

Search

9.27

9.09

9.03

8.94

8.71

Social

4.83

4.89

4.97

4.56

4.82

a monetate publication | 16
EQ2 2013

Browser Market Share

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

Internet Explorer

39.05%

37.16%

37.51%

33.66%

32.31%

Chrome

17.38%

18.94%

18.99%

20.84%

22.15%

Mobile Chrome

0.01%

0.15%

0.42%

0.70%

1.08%

Firefox

16.01%

14.77%

13.65%

13.17%

12.76%

Mobile Safari

11.30%

13.01%

14.31%

16.31%

16.99%

Safari

12.09%

11.45%

11.30%

11.30%

10.74%

Android Browser

3.41%

3.77%

3.93%

3.73%

3.70%

Kindle Fire

0.33%

0.35%

0.29%

0.25%

0.22%

Opera

0.38%

0.35%

0.13%

0.01%

0.01%

Other

0.05%

0.05%

0.04%

0.04%

0.05%

a monetate publication | 17
EQ2 2013

TABLET
SMARTPHONE

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

Traditional

$106.69

$105.14

$112.68

$107.06

$115.74

Tablet

$108.14

$104.05

$114.49

$108.70

$113.15

Smartphone

$97.79

$97.60

$119.15

$114.26

$112.73

iPad

$109.55

$105.23

$115.26

$109.52

$114.18

Android Tablet

$97.27

$94.62

$107.45

$100.47

$101.22

Kindle Fire

OVERALL

Average Order Value by Device

$87.03

$82.07

$95.83

$89.32

$91.84

iPhone

$99.02

$98.84

$120.73

$115.88

$114.45

Android Phone

$96.23

$95.86

$116.65

$111.78

$109.82

Windows Phone

$91.64

$94.99

$111.84

$100.76

$112.36

Average Order Value by Traffic Source

Q2 2012

Q3 2012

Q4 2012

Q1 2013

Q2 2013

Search

$103.00

$101.63

$110.12

$104.46

$111.18

Social

$75.82

$75.23

$79.61

$76.59

$86.80

Email

$89.43

$86.43

$102.74

$95.27

$99.93

a monetate publication | 18
EQ2 2013
Conversion Rates by State

Q2 2013

Conversion Rates by State

Q2 2013

Armed Forces - America

5.00%

Rhode Island

2.83%

Armed Forces - Europe

4.47%

Kansas

2.79%

Wyoming

4.35%

Nevada

2.77%

Armed Forces - Pacific

3.71%

District of Columbia

2.70%

Montana

3.68%

Tennessee

2.68%

West Virginia

3.61%

Arkansas

2.67%

North Dakota

3.35%

Oklahoma

2.67%

Pennsylvania

3.34%

Colorado

2.66%

Delaware

3.29%

Illinois

2.65%

Vermont

3.27%

Arizona

2.64%

South Dakota

3.22%

Massachusetts

2.63%

Alaska

3.16%

Mississippi

2.62%

New Hampshire

3.14%

North Carolina

2.62%

Connecticut

3.13%

Alabama

2.60%

New Jersey

3.11%

South Carolina

2.60%

New Mexico

3.09%

Washington

2.57%

Nebraska

3.03%

Georgia

2.55%

Maine

3.02%

Louisiana

2.55%

Maryland

2.98%

Missouri

2.51%

Wisconsin

2.98%

Utah

2.51%

Ohio

2.95%

Florida

2.43%

Iowa

2.94%

Oregon

2.43%

New York

2.94%

Virginia

2.32%

Indiana

2.93%

Hawaii

2.28%

Michigan

2.91%

California

2.24%

Kentucky

2.90%

Texas

2.20%

Idaho

2.88%

Minnesota

1.61%

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EQ2 2013
Q2 2013 Conversion Rates Impact Scores by State

Q2 2013 Conversion Rates Impact Scores by State

New York

Nevada

Pennsylvania

Alabama

New Jersey

South Carolina

Ohio

Wyoming

Michigan

District of Columbia

Maryland

Oklahoma

Connecticut

North Dakota

Illinois

Vermont

Wisconsin

Rhode Island

Indiana

Louisiana

Massachusetts

Missouri

North Carolina

Florida

Kentucky

Armed Forces - Europe

West Virginia

South Dakota

Tennessee

Idaho

Georgia

Arkansas

Colorado

Alaska

Arizona

Mississippi

Washington

Utah

New Hampshire

Oregon

Iowa

Armed Forces - America

Delaware

Armed Forces - Pacific

Nebraska

Hawaii

Kansas

Virginia

Montana

Texas

New Mexico

California

Maine

Minnesota

a monetate publication | 20
EQ2 2013
Average Order Value by State

Q2 2013

Average Order Value by State

Q2 2013

Armed Forces - America

$197.60

New Mexico

$109.52

Armed Forces - Europe

$150.93

New Hampshire

$109.48

Armed Forces - Pacific

$132.86

Rhode Island

$108.81

Hawaii

$131.17

Montana

$108.55

Alaska

$128.19

Michigan

$108.36

District of Columbia

$127.36

Wyoming

$108.13

Minnesota

$125.83

Idaho

$107.80

California

$123.04

Utah

$107.50

New York

$120.48

South Carolina

$107.43

Texas

$119.92

Alabama

$107.24

New Jersey

$117.69

Oklahoma

$106.67

Maryland

$116.38

Vermont

$106.67

Florida

$115.59

Tennessee

$106.63

Massachusetts

$115.14

Ohio

$106.44

Washington

$115.04

Pennsylvania

$106.28

Virginia

$114.54

North Carolina

$105.92

Nevada

$114.51

Kentucky

$105.59

Georgia

$113.61

Wisconsin

$105.08

Delaware

$113.55

Arkansas

$104.79

Oregon

$113.51

South Dakota

$104.76

North Dakota

$112.84

Missouri

$104.39

Illinois

$112.63

Indiana

$104.36

Connecticut

$112.56

Kansas

$103.05

Colorado

$111.87

Iowa

$103.04

Louisiana

$110.80

Maine

$102.50

Arizona

$110.16

West Virginia

$100.29

Mississippi

$109.80

Nebraska

$98.27

a monetate publication | 21

+
EQ2 2013
Q2 2013 Average Order Value Impact Scores by State

Q2 2013 Average Order Value Impact Scores by State

California

Mississippi

New York

New Hampshire

Texas

Connecticut

Minnesota

Utah

New Jersey

Louisiana

District of Columbia

Maine

Hawaii

Georgia

Armed Forces - Europe

Colorado

Maryland

Arkansas

Alaska

Oklahoma

Florida

Nebraska

Armed Forces - Pacific

West Virginia

Armed Forces - America

Arizona
Massachusetts

Iowa

Washington

Alabama

Nevada

Kansas

North Dakota

South Carolina

Delaware

Kentucky

Wyoming

Illinois

Montana

Tennessee

Oregon

Wisconsin

Vermont

Missouri

South Dakota

Indiana

Virginia

Michigan

New Mexico

North Carolina

Idaho

Ohio

Rhode Island

Pennsylvania

a monetate publication | 22
EQ2 2013
Methodology
The EQ analyzes a random sample of over 600 million online shopping
experiences using “same store” data across each calendar quarter.
Averages throughout the EQ are calculated across the entire sample. Key
performance indicators, such as average order value and conversion rate,
will vary by industry/market type. These averages are published only to
support the analysis in each release of the EQ, and are not intended to be
benchmarks for any ecommerce business.

References
1. SEC Wants Chains to Cough Up More E-commerce Data, Internet Retailer (August 2013)
2. The State of Retailing Online 2013: Key Metrics and Initiatives, Shop.org (January 2013)
3. 92:1: Marketing’s Dirty Little Statistic, Econsultancy (June 2011)
4. The State of Retailing Online 2013: Marketing & Merchandising, Shop.org (July 2013)

a monetate publication | 23

For all media inquiries, questions, and feedback
regarding the information in this report, or to obtain
copies of previous releases of the EQ, contact:

Marifran Manzo-Ritchie
Director of Corporate Communications
(215) 987-4441
mmanzoritchie@monetate.com
EQ2 2013
About Monetate
Monetate empowers marketers to leverage big data to create more

Leading marketers rely on Monetate’s cloud-based browser solutions to

personalized and engaging online customer experiences. By providing

achieve a new level of speed and control, allowing them to run 16 times

more relevant web interactions, leading brands are able to anticipate and

more optimization campaigns compared to industry averages. Monetate

react to consumer preferences to generate stronger customer relationships

solutions include advanced products for testing, merchandising, targeting

and significantly increase profits.

and cross-channel consistency, providing an opportunity to bypass IT

Monetate drives billions of dollars of revenue every year for some of the
best-known brands in the world, including Best Buy, Frontier Airlines,
Aeropostale, The Sports Authority, and PETCO. The company’s solutions

restraints and react in real time to customer demands. Monetate also helps
marketers implement best practices and drive online revenue through its
expert strategic services and content publishing teams.

and conversion expertise enable marketers to deliver a more relevant
customer experience with unprecedented agility.

a monetate publication | 24
Expert Optimization Resources
Valuable case studies, eBooks, white papers, webinars & infographics
monetate.com/resources

Request a Demo
Call 877-MONETATE (US) l 484-323-6313 (around the world)
demo.monetate.com

1-877-MONETATE | 484-323-6313
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Ecommerce Quarterly (EQ2 2013)

  • 1. 2 Ecommerce Quarterly EQ2 2013: Email Engagement a publication from
  • 2. EQ2 2013 Table of Contents Executive Summary 3 About the EQ 4 Make the Email Experience the Right Experience 5 The Potential Value of Small Segments 7 Benchmark Reports 11 Methodology 23 References 23 About Monetate 24 a monetate publication | 2
  • 3. EQ2 2013 Executive Summary As you read EQ2 2013, more than half of the year is over and ecommerce Within the past two years, visits from smartphone and tablet users to businesses are preparing for the busy holiday season. These final few leading ecommerce websites has increased from just under 7% to now months often determine a year’s success, which, in turn, impacts future more than 22% of total website traffic. But despite the continued uptick in investments in technology and marketing in an effort to build customer mobile website traffic, conversion rates of smartphone users remain well reach, engagement, interaction, and revenue. below that of shoppers using traditional computers and tablets. According to key metrics used to measure ecommerce success, 2013 has While a lot of attention is going to native apps or responsive web design, thus far been undoubtedly positive. For instance, same-store website focusing on delivering relevant website experiences for mobile and tablet traffic for the more than 600 million quarterly visits that comprise this shoppers can result in increases in these and other important metrics. release of the Ecommerce Quarterly (EQ) increased 17.60% in one year, while the same companies experienced an 8.16% gain in average order value (AOV). In fact, AOV was higher in the second quarter of 2013 ($115.27) than the traditionally strong fourth quarter ($113.05) of 2012. EQ2 2013 also examines diminishing returns from email, and offers new strategies on how to increase engagement by considering the real-time relevancy of email messages. Similar to how successful brands change the customer experience on their websites, marketers can use “open-time These positive signs coincide with second quarter ecommerce estimates personalization,” which dynamically changes the email when the recipient from the U.S. Department of Commerce, which include an 18.4% year-over- opens it, creating relevant email campaigns based on context and behavior year increase in ecommerce sales.1 But while these statistics—as well as many that increase click-through rates and reduce list attrition. of the EQ’s benchmark reports—point to a strong year for ecommerce, there are still some concerns, specifically around mobile and email. Lastly, EQ2 2013 takes a look at geotargeting customer segments that can have an immediate impact on a business by either attracting more visitors Produced annually in partnership between Shop.org and Forrester from a certain state, region or country, or by delivering more relevant on- Research, “The State of Retailing Online 2013: Key Metrics and Initiatives” site experiences based on the location of website visitors. But how do study reveals that 29% of retailers believe mobile traffic and sales you know what to focus on? A new metric that Monetate has developed, negatively impact their overall conversion rates.2 known as Impact Score, can help. a monetate publication | 3
  • 4. EQ2 2013 About the EQ As ecommerce companies look for ways to increase customer engagement The EQ also includes EQ Takeaways, ideas and best practices used by and sales in a highly competitive online environment, they’re faced with leading ecommerce websites, based on insights gained from the more challenges centered on massive amounts of data. This big data conundrum than 600 million online shopping sessions that contribute to the analysis goes beyond the collection and storage of information about customers and benchmark reports found in every release. and prospects. Using a combination of historical and real-time data allows ecommerce marketers to glean meaningful insights, resulting in more relevant shopping experiences that drive loyal customers who share their experiences with others. Ecommerce businesses that tackle big data headon focus their attention on different customer segments that continue to be explored in every release of the Ecommerce Quarterly (EQ): • Predefined: New versus returning; referring traffic sources; technographics; geography. • Custom or Proprietary: Demographics; proximity to location. • On-Site Behavior: Shopping cart activity; brand or category affinity. • Behaviors Across the Web: Browsing and purchase patterns demonstrated on third-party websites. a monetate publication | 4
  • 5. EQ2 2013 Make the Email Experience the Right Experience Customers demand relevant and meaningful interactions with your brand, To compensate, many marketers will just send more email. In Shop.org’s which often begin with how they reach your website. study, 80% of retailers indicated that they will spend more on emailing On average, 55% of retailers’ interactive marketing spend goes to paid search and email, according to Shop.org’s “The State of Retailing Online 2013: Marketing & Merchandising,” released in July. And marketers spend $92 on driving traffic to their websites for every $1 they spend converting that traffic.3 Both referral traffic and conversion rates to leading ecommerce websites their house list in 2013.4 The result of this strategy is likely a downward spiral: The more emails marketers send, the more customers unsubscribe or mark the email as spam. And because revenue then declines, marketers send even more emails, perpetuating the negative cycle. 3.56% 3.34% from email decreased since last year. In addition, the number of samestore purchases from email is down 30.66% in the past 12 months. 2.12% Q2 2012 3.75% 1.94% Q2 2013 26% 2.36% 0.79% 0.62% Email Search Q2 2012 Email Referrer Traffic Social Email Search Social Q2 2013 Conversion Rates by Traffic Source a monetate publication | 5
  • 6. EQ2 2013 Takeaways But what can be done when there’s a drastic year-over-year drop in website traffic from the email channel? Not unlike the experience customers have on websites, email messages must be based on behaviors and data to be more effective. Circumstances can change from the time an email is sent, to when it is actually opened. For example, after receiving an email, a busy consumer could visit another part of the country where a climate change drives different needs, while another shopper, before opening the email, looks on your website at only one particular brand. No two consumers think or behave in the same way. That’s why testing entire emails—or sections within an email—to determine the types of messages that different customer segments will most likely respond to also remains crucial to the success of any campaign. Successful email marketing involves understanding what works, and how much money is driven to your business. The result is smarter marketing and more intelligent emails that maximize click-through rates and overall performance. • Use “open-time personalization” in your emails. Most email content, if personalized at all beyond “Dear [First Name],” changes at the time the message is sent or, even worse, when the email campaign’s list is selected within an email service provider (ESP). Open-time personalization targets offers and creative to the moment when a customer actually opens the email. This makes it easy for marketers to account for how their customers’ context and behaviors change, while increasing important email and website metrics, such as click-through and conversion rates. Consider what could change from the time you deploy a campaign to when the recipient actually opens the email. For instance, a customer could visit your website directly and either view or purchase additional products after the email is sent, while another shopper opens the email on his iPhone inside your store or in close proximity to one of your competitor’s stores. Plus, with open-time personalization, you can deliver relevant experiences right to a customer’s inbox. From intelligent product recommendations to offers timed to current or forecasted weather, marketers have more freedom to help determine the right experience. • Connect relevant emails with great on-site experiences after your customers click through. From click to conversion, customers should see consistent experiences that span every page of your website reinforcing the offer in the email. Use website creative and messaging to echo the reason why the potential buyer responded to the offer. a monetate publication | 6
  • 7. EQ2 2013 The Potential Value of Small Segments When evaluating the performance of your customer segments, whether it’s A great example of this is website traffic from smartphones. When looking simply new versus returning visitors or a more targeted group, you’ll likely at RPS for the past five calendar quarters, you might think that everything notice that some perform well, but don’t represent a significant amount of is fine. After all, traffic continued to move in a positive direction. visitors compared to overall traffic. These high-potential segments should not be discounted; rather, marketers should prioritize them and determine where to spend more resources in the future. With Impact Score, you notice a potential problem when looking at smartphone traffic over the past five calendar quarters. There was a significant drop in Impact Score during Q4, while RPS increased. The reality Compare high-impact segments to these groups of customers with high is that smartphone customers represented a big loss in potential revenue potential. The simplest way to differentiate the two is to consider that a despite an increase in smartphone traffic and RPS. high-impact segment has a positive key performance indicator (KPI)— such as revenue per session (RPS) or conversion rate—and a large volume 12.44% of traffic, while a segment with high potential likely has a similar strong Smartphone 11.49% KPI, but less traffic. Tablet When you consider Impact Score—the potential overall value of a 9.57% customer segment to your business—you’ll discover a new way to rank 8.91% customers by their potential based on the size of a customer segment and its performance against your website’s average. More precisely, Impact Score is the difference between the rate of a behavior in one customer segment from the rate of a behavior in all website visitors multiplied by the 7.89% 9.51% 9.69% 9.63% 8.55% 7.31% Q2 number of visitors in the same segment. Q3 2012 Q4 Q1 Q2 2013 Website Visits by Device a monetate publication | 7
  • 8. EQ2 2013 Smartphone Revenue Per Session $1.20 $1.11 $1.06 $0.89 $0.84 Q2 Q3 Q4 2012 Q1 Q2 2013 Smartphone RPS Learn more about Impact Score. Download “Introducing Impact Score” at monetate.com/impactscore Impact Score a monetate publication | 8
  • 9. EQ2 2013 Without improving the purchasing experience for your mobile visitors, this Finally, you can’t give website visitors new iPads just because tablet traffic negative impact will be even greater as more traffic comes to your website is getting an increasing share of visits and converts just as well as traffic from smartphones. Within only the past year, combined smartphone and from traditional computers. However, there is a tremendous opportunity tablet traffic grew from 15.2% to 22.13%. to increase revenue with better on-site experiences when you consider While it appears now that there’s something interesting to work on, you actually could have started to optimize your website for mobile traffic that a nearly equal share of traffic from smartphone users has a lower conversion rate. earlier, after seeing the dip in Impact Score. Device Share of Website Traffic 7.89% 9.69% 7.31% 12.44% 84.80% 77.87% Q2 2012 Q2 2013 Smartphone Tablet a monetate publication | 9 Traditional
  • 10. EQ2 2013 Showing these visitors relevant messages and improving the customer experience provides a more measurable way of knowing just how important this segment is to your business. Stay ahead, prioritize, and Q2 2013 Conversion Rates by Device Traditional 2.56% Tablet 2.54% make decisions based on what data tells you. Use your inbound channels and iterative on-site testing and optimization strategies to deliver the right message to the right customer at the right time. Smartphone 0.96% Takeaways • Understand which customer segments an online experience worked for and where that same experience wasn’t as effective. Then take action to carve out more of the high performers, while running additional experiments to find something else that works better for customers who didn’t respond as well. • Build customer relationship over time. Your goal should be to discover what an individual customer means to your brand by putting each one at the center of your organization and tying data to analysis to understand who are your most important customers to acquire and retain. Q2 2013 Average Order Value by Device Traditional $115.74 Tablet $113.15 Smartphone $112.73 • Don’t separate the ability to know your customer from the ability to take action. If you can’t combine knowledge with action, everything you know about your prospects and customers is useless. a monetate publication | 10
  • 11. EQ2 2013 Benchmark Reports TABLET SMARTPHONE Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Traditional 84.80% 82.54% 80.92% 78.88% 77.87% Tablet 7.31% 8.55% 9.57% 11.49% 12.44% Smartphone 7.89% 8.91% 9.51% 9.63% 9.69% iPad OVERALL Website Visits by Device 91.68% 90.18% 91.02% 90.83% 90.63% Kindle Fire 3.58% 4.11% 2.98% 2.15% 1.74% Android 4.75% 5.71% 6.00% 7.02% 7.63% iPhone 60.23% 60.00% 60.61% 63.89% 62.73% Android 38.30% 38.33% 37.97% 34.85% 35.92% Windows 0.90% 0.89% 0.91% 1.01% 1.16% Other 0.57% 0.77% 0.51% 0.25% 0.19% Website Visits by Traffic Source Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Search 33.33% 34.62% 32.75% 31.91% 32.90% Social 1.95% 1.70% 1.21% 1.33% 1.11% Email 3.75% 3.49% 3.97% 3.05% 2.36% a monetate publication | 11
  • 12. EQ2 2013 Conversion Rates Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 U.S. 2.90% 2.80% 2.85% 2.37% 2.60% International 1.12% 1.08% 1.14% 0.89% 0.89% Conversion Rates Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 New 1.95% 1.94% 2.12% 1.58% 1.69% Returning 3.46% 3.33% 3.27% 2.82% 3.14% Add-to-Cart Rates Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 U.S. 8.68% 8.85% 10.02% 9.09% 9.00% International 6.56% 6.62% 7.25% 6.35% 6.30% Add-to-Cart Rates Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 New 6.08% 6.30% 7.33% 6.47% 6.19% Returning 10.99% 11.18% 12.31% 11.09% 11.30% a monetate publication | 12
  • 13. EQ2 2013 TABLET SMARTPHONE Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Traditional 2.85% 2.80% 2.90% 2.35% 2.56% Tablet 2.53% 2.43% 2.56% 2.27% 2.54% Smartphone 0.82% 0.77% 0.86% 0.84% 0.96% iPad OVERALL Conversion Rates by Device 2.58% 2.49% 2.62% 2.32% 2.60% Kindle Fire 1.65% 1.51% 1.65% 1.46% 1.56% Android 2.47% 2.24% 2.13% 1.91% 2.00% iPhone 0.79% 0.77% 0.90% 0.83% 1.01% Android 0.89% 0.79% 0.82% 0.85% 0.88% Windows 0.73% 0.75% 0.72% 0.77% 0.77% Other 0.03% 0.22% 0.39% 0.45% 0.38% a monetate publication | 13
  • 14. EQ2 2013 Conversion Rates by Device Q2 2012 Q3 2012 Q4 2012 OVERALL Traditional Q1 2013 Q2 2013 Q2 2013 Impact Score Traditional iPad Tablet Tablet Other Smartphone Windows Phone Kindle Fire iPad TABLET Android Tablet Kindle Fire Android Phone iPhone Android Smartphone iPhone SMARTPHONE What you see here… The mean—or average—for the respective key performance indicator is represented by the dotted lines. Negative Impact Scores appear in red, while positive Impact Scores are blue. The distance between Impact Score and the mean represent the relative additional opportunity for the specific customer segment. Android Windows Other a monetate publication | 14
  • 15. EQ2 2013 Conversion Rates by Traffic Source Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Search 2.12% 1.99% 2.27% 1.81% 1.94% Social 0.62% 0.71% 0.85% 0.69% 0.79% Email 3.56% 3.50% 3.40% 2.91% 3.34% Conversion Rates by Device Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Q2 2013 Impact Score Search Email Social Social Search Email Learn more about Impact Score. Download “Introducing Impact Score” at monetate.com/impactscore a monetate publication | 15
  • 16. EQ2 2013 Add-to-Cart Rate by Referrer Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Email 10.51% 10.59% 11.48% 10.46% 10.73% Search 6.64% 6.59% 7.84% 6.74% 6.81% Social 2.52% 3.03% 3.75% 3.23% 3.37% Average Page Views by Referrer Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Email 9.09 9.46 9.12 9.11 8.84 Search 9.27 9.09 9.03 8.94 8.71 Social 4.83 4.89 4.97 4.56 4.82 a monetate publication | 16
  • 17. EQ2 2013 Browser Market Share Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Internet Explorer 39.05% 37.16% 37.51% 33.66% 32.31% Chrome 17.38% 18.94% 18.99% 20.84% 22.15% Mobile Chrome 0.01% 0.15% 0.42% 0.70% 1.08% Firefox 16.01% 14.77% 13.65% 13.17% 12.76% Mobile Safari 11.30% 13.01% 14.31% 16.31% 16.99% Safari 12.09% 11.45% 11.30% 11.30% 10.74% Android Browser 3.41% 3.77% 3.93% 3.73% 3.70% Kindle Fire 0.33% 0.35% 0.29% 0.25% 0.22% Opera 0.38% 0.35% 0.13% 0.01% 0.01% Other 0.05% 0.05% 0.04% 0.04% 0.05% a monetate publication | 17
  • 18. EQ2 2013 TABLET SMARTPHONE Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Traditional $106.69 $105.14 $112.68 $107.06 $115.74 Tablet $108.14 $104.05 $114.49 $108.70 $113.15 Smartphone $97.79 $97.60 $119.15 $114.26 $112.73 iPad $109.55 $105.23 $115.26 $109.52 $114.18 Android Tablet $97.27 $94.62 $107.45 $100.47 $101.22 Kindle Fire OVERALL Average Order Value by Device $87.03 $82.07 $95.83 $89.32 $91.84 iPhone $99.02 $98.84 $120.73 $115.88 $114.45 Android Phone $96.23 $95.86 $116.65 $111.78 $109.82 Windows Phone $91.64 $94.99 $111.84 $100.76 $112.36 Average Order Value by Traffic Source Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Search $103.00 $101.63 $110.12 $104.46 $111.18 Social $75.82 $75.23 $79.61 $76.59 $86.80 Email $89.43 $86.43 $102.74 $95.27 $99.93 a monetate publication | 18
  • 19. EQ2 2013 Conversion Rates by State Q2 2013 Conversion Rates by State Q2 2013 Armed Forces - America 5.00% Rhode Island 2.83% Armed Forces - Europe 4.47% Kansas 2.79% Wyoming 4.35% Nevada 2.77% Armed Forces - Pacific 3.71% District of Columbia 2.70% Montana 3.68% Tennessee 2.68% West Virginia 3.61% Arkansas 2.67% North Dakota 3.35% Oklahoma 2.67% Pennsylvania 3.34% Colorado 2.66% Delaware 3.29% Illinois 2.65% Vermont 3.27% Arizona 2.64% South Dakota 3.22% Massachusetts 2.63% Alaska 3.16% Mississippi 2.62% New Hampshire 3.14% North Carolina 2.62% Connecticut 3.13% Alabama 2.60% New Jersey 3.11% South Carolina 2.60% New Mexico 3.09% Washington 2.57% Nebraska 3.03% Georgia 2.55% Maine 3.02% Louisiana 2.55% Maryland 2.98% Missouri 2.51% Wisconsin 2.98% Utah 2.51% Ohio 2.95% Florida 2.43% Iowa 2.94% Oregon 2.43% New York 2.94% Virginia 2.32% Indiana 2.93% Hawaii 2.28% Michigan 2.91% California 2.24% Kentucky 2.90% Texas 2.20% Idaho 2.88% Minnesota 1.61% a monetate publication | 19
  • 20. EQ2 2013 Q2 2013 Conversion Rates Impact Scores by State Q2 2013 Conversion Rates Impact Scores by State New York Nevada Pennsylvania Alabama New Jersey South Carolina Ohio Wyoming Michigan District of Columbia Maryland Oklahoma Connecticut North Dakota Illinois Vermont Wisconsin Rhode Island Indiana Louisiana Massachusetts Missouri North Carolina Florida Kentucky Armed Forces - Europe West Virginia South Dakota Tennessee Idaho Georgia Arkansas Colorado Alaska Arizona Mississippi Washington Utah New Hampshire Oregon Iowa Armed Forces - America Delaware Armed Forces - Pacific Nebraska Hawaii Kansas Virginia Montana Texas New Mexico California Maine Minnesota a monetate publication | 20
  • 21. EQ2 2013 Average Order Value by State Q2 2013 Average Order Value by State Q2 2013 Armed Forces - America $197.60 New Mexico $109.52 Armed Forces - Europe $150.93 New Hampshire $109.48 Armed Forces - Pacific $132.86 Rhode Island $108.81 Hawaii $131.17 Montana $108.55 Alaska $128.19 Michigan $108.36 District of Columbia $127.36 Wyoming $108.13 Minnesota $125.83 Idaho $107.80 California $123.04 Utah $107.50 New York $120.48 South Carolina $107.43 Texas $119.92 Alabama $107.24 New Jersey $117.69 Oklahoma $106.67 Maryland $116.38 Vermont $106.67 Florida $115.59 Tennessee $106.63 Massachusetts $115.14 Ohio $106.44 Washington $115.04 Pennsylvania $106.28 Virginia $114.54 North Carolina $105.92 Nevada $114.51 Kentucky $105.59 Georgia $113.61 Wisconsin $105.08 Delaware $113.55 Arkansas $104.79 Oregon $113.51 South Dakota $104.76 North Dakota $112.84 Missouri $104.39 Illinois $112.63 Indiana $104.36 Connecticut $112.56 Kansas $103.05 Colorado $111.87 Iowa $103.04 Louisiana $110.80 Maine $102.50 Arizona $110.16 West Virginia $100.29 Mississippi $109.80 Nebraska $98.27 a monetate publication | 21 +
  • 22. EQ2 2013 Q2 2013 Average Order Value Impact Scores by State Q2 2013 Average Order Value Impact Scores by State California Mississippi New York New Hampshire Texas Connecticut Minnesota Utah New Jersey Louisiana District of Columbia Maine Hawaii Georgia Armed Forces - Europe Colorado Maryland Arkansas Alaska Oklahoma Florida Nebraska Armed Forces - Pacific West Virginia Armed Forces - America Arizona Massachusetts Iowa Washington Alabama Nevada Kansas North Dakota South Carolina Delaware Kentucky Wyoming Illinois Montana Tennessee Oregon Wisconsin Vermont Missouri South Dakota Indiana Virginia Michigan New Mexico North Carolina Idaho Ohio Rhode Island Pennsylvania a monetate publication | 22
  • 23. EQ2 2013 Methodology The EQ analyzes a random sample of over 600 million online shopping experiences using “same store” data across each calendar quarter. Averages throughout the EQ are calculated across the entire sample. Key performance indicators, such as average order value and conversion rate, will vary by industry/market type. These averages are published only to support the analysis in each release of the EQ, and are not intended to be benchmarks for any ecommerce business. References 1. SEC Wants Chains to Cough Up More E-commerce Data, Internet Retailer (August 2013) 2. The State of Retailing Online 2013: Key Metrics and Initiatives, Shop.org (January 2013) 3. 92:1: Marketing’s Dirty Little Statistic, Econsultancy (June 2011) 4. The State of Retailing Online 2013: Marketing & Merchandising, Shop.org (July 2013) a monetate publication | 23 For all media inquiries, questions, and feedback regarding the information in this report, or to obtain copies of previous releases of the EQ, contact: Marifran Manzo-Ritchie Director of Corporate Communications (215) 987-4441 mmanzoritchie@monetate.com
  • 24. EQ2 2013 About Monetate Monetate empowers marketers to leverage big data to create more Leading marketers rely on Monetate’s cloud-based browser solutions to personalized and engaging online customer experiences. By providing achieve a new level of speed and control, allowing them to run 16 times more relevant web interactions, leading brands are able to anticipate and more optimization campaigns compared to industry averages. Monetate react to consumer preferences to generate stronger customer relationships solutions include advanced products for testing, merchandising, targeting and significantly increase profits. and cross-channel consistency, providing an opportunity to bypass IT Monetate drives billions of dollars of revenue every year for some of the best-known brands in the world, including Best Buy, Frontier Airlines, Aeropostale, The Sports Authority, and PETCO. The company’s solutions restraints and react in real time to customer demands. Monetate also helps marketers implement best practices and drive online revenue through its expert strategic services and content publishing teams. and conversion expertise enable marketers to deliver a more relevant customer experience with unprecedented agility. a monetate publication | 24
  • 25. Expert Optimization Resources Valuable case studies, eBooks, white papers, webinars & infographics monetate.com/resources Request a Demo Call 877-MONETATE (US) l 484-323-6313 (around the world) demo.monetate.com 1-877-MONETATE | 484-323-6313 monetate.com monetate.com/facebook monetate.com/twitter monetate.com/linkedin ©2013 Monetate Inc. All Rights Reserved