2. More than
of British, American and
Canadian eCommerce
decision makers agree:
The quality of on my
eCommerce website directly affects
customer perception of my
company’s brand.
(76%)
8. The are also more likely than
North Americans to report
improved conversion rates
between the 2012 and 2013 holiday seasons
January 2013
February 2013
March 2013
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013June 2013
May 2013April 2013
December 2012
vember 2012
(74% UK vs. 56% CA/US say their conversions improved)
9. erce
eComm
To learn more about what eCommerce leaders are doing in 2014
and how they are preparing for the holiday season, please visit
the full report of findings and analysis
Peer 1 believes that much can be accomplished when great people fuel
amazing technology, and that in eCommerce, every interaction matters.
Peer 1 helps global brands realize their potential and boost their
performance online with optimized and wholly-scalable eCommerce
infrastructure. Online retailers can rely on Peer 1’s robust PCI compliance, 10
Gbps FastFiber Network and a team of knowledgeable experts who will
never settle for the status quo.
If you’re interested in learning more, contact us at 1.888.979.2764 and we’d
be happy to put you in touch with one of the panelists or an eCommerce
executive at PEER 1.
10. From January 9 - 30, 2014, Peer 1 Hosting commissioned a 5 – 10 minute survey through a
third-party vendor, ResearchNow, to be administered to n=300 decision makers at
companies with eCommerce websites in the U.K. (n=150), U.S. (n=140) and Canada (n=10).
All respondents are “very” or “extremely” involved with their company’s eCommerce
operations in any capacity. They are “very” or “extremely” familiar with how their
company’s eCommerce website functions in terms of customer experience and
performance, as well as how it affected sales and conversion rates during the 2013 holiday
shopping season. All respondents identified the online purchases made on their company’s
website during the 2013 holiday shopping season as making a “moderate” or “large”
contribution to the company’s overall revenue.
The margin of error of this sample size (300) is +/- 5.6% at a 95% confidence interval.
10