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2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping...

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2016 Holiday Retail Insights Report WHAT DO SHOPPERS EXPECT FROM YOUR SITE? AND HOW CAN YOU MEET THEIR DEMANDS?
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Page 1: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

1 | SOASTA: Performance Is Everything

2016 Holiday Retail Insights ReportWHAT DO SHOPPERS EXPECT FROM YOUR SITE? AND HOW CAN YOU MEET THEIR DEMANDS?

Page 2: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

2 | SOASTA: Performance Is Everything

2.4

PAGE 4In 2015, 57% of Black Friday traffic came from

mobile

PAGE 5 Amazon accounted

for more than a third of 2015 online

holiday spending

PAGE 10The “sweet spot” for peak conversions is 2.4 seconds

PAGE 18Just a 1-second slowdown resulted in an 8% increase in bounce rate

PAGE 7 28% of customers

won’t return to a slow site

Key insights

2 | SOASTA: Performance Is Everything

Page 3: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

3 | SOASTA: Performance Is Everything

This holiday season, the National Retail Federation projects that online sales will increase by up to 10 percent

The NRF also says that total holiday retail sales, including ecommerce, are expected to increase 3.6% over last year, to $655.8 billion.

These projections are the continuation of an upward trend. The 2015 holiday season saw the first nine-day streak of sales over a billion dollars during the spending rush between Thanksgiving and Christmas Eve. And in the past decade, Cyber Monday sales alone have grown from millions to billions of dollars.

$3B

$2.5B

$2B

$1.5B

$1B

$0.5B

02006 2007 2008 2009

Cyber Monday sales

*estimated with 12% growth

2010 2011 2012 2013 2014 2015 2016*

Page 4: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

4 | SOASTA: Performance Is Everything

Holiday shoppers are demanding

Shoppers are everywhere. And regardless of where they are and what type of device they’re using, they expect consistently fast, seamless transactions.

Retailers today face enormous challenges in delivering the fast, reliable, 24x7 omnichannel experience across multiple devices that users demand — and they won’t wait around for you to get it right. According to Aberdeen Group research, after only 3 seconds, 40 percent of all mobile and desktop websites will be abandoned – up from 25 percent in 2013. Where are those shoppers going? To websites that can meet their performance expectations.

1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015

Meeting consumers’ multi-platform demands matters

more than ever:

of Black Friday traffic in 2015 was from mobile devices.

of Cyber Monday sales happened via mobile.

of all holiday sales are influenced digitally — that is, by shoppers using their desktop or mobile devices to research before they buy.1

57%

28%

78%

Page 5: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

5 | SOASTA: Performance Is Everything

Why you need to think like Amazon

In 2015, Amazon accounted for a whopping 34.5% of all online holiday sales. Why? Massive inventory, competitive pricing, and free shipping are part of the equation. So is customer experience.

Amazon has become the gold standard for user experience. While most retailers simply focus on driving visitors to websites, Amazon has built an online business based on understanding their visitors through data science and performance analytics.

Amazon was an extremely early adopter in the study of how seconds — and sometimes even milliseconds — of latency can affect bounce rates, conversion rates, sales and revenue. The company continuously monitors, measures, collects, keeps, and exploits information about every user experience. They use that data to continuously improve what they’re doing. They know that when they improve the user experience, they improve the overall performance of their business.

Amazon’s superior buying experience is the reason why it enjoys a 13% conversion rate — 74% for Amazon Prime members — and takes more than a third of all holiday online sales.

amazon.com

All other online retailers

65.5%

34.5%

53%of consumers say Amazon offers the best online shopping experience.

In 2015, Amazon took more than a third of all holiday sales

Page 6: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

6 | SOASTA: Performance Is Everything

There’s no question about it: Downtime costs

Downtime costs in several ways. There is a correlation between downtime and market value of brands. There’s also a significant negative correlation between outage announcements and stock returns.

The hourly cost of downtime varies by industry and size of the brand (of course) but estimates are all mind-boggling. A 20-minute Amazon outage cost about $3.75 million, for example. For Fortune 1000 companies, the average total cost of unplanned application downtime per year is $1.25 billion to $2.5 billion. The average hourly cost of an infrastructure failure is $100,000 per hour.

Outages can also hurt your brand and reputation. A July 2016 outage at PayPal led shoppers to experience being locked out of their accounts with no solid explanation about why this was happening. The anxiety produced can have long-term negative effects on the brand.

For Fortune 1000 companies, the average total cost of unplanned

application downtime per year is

$1.25 billion

Page 7: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

7 | SOASTA: Performance Is Everything

Over the long term, slowdowns cost, too

The slow-drip water torture of an underperforming site can be less dramatic. Slow websites don’t generate headlines. They’re quieter, but potentially much more damaging to your brand over time. You may intuitively feel this to be true. A slow site with poor user experience causes most of us to give up — especially if there is a worthy competitor a click away. 28%

9%

of customers won’t return to a slow site

of customers won’t return after an outage

Page 8: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

8 | SOASTA: Performance Is Everything

How fast do holiday shoppers expect your site to be? Are these expectations static, or do they change over time?

To help answer these questions, SOASTA conducted a study in which we analyzed real user data — representing millions of user sessions — for ten leading IR100 retailers during Cyber Week 2014 and Cyber Week 2015.1 The study included more than 1.5 billion beacons worth of user data — 983.9K from 2014 and 680.9K from 2015.

The objective was to see what differences, if any, there were in user behavior and conversion outcomes, and to make predictions for 2016. The findings are outlined on the following pages.

1 “Cyber Week” was defined as November 27 to December 2 in 2014, and November 26 to December 1 in 2015.

Page 9: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

The load time “sweet spot” for peak conversions is 2.4 seconds1

Page 10: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

10 | SOASTA: Performance Is Everything

Finding 1

The performance “sweet spot” — the load time that corresponds to peak conversions — for peak conversions shrank by 37% between 2014 and 2015. Looking at all user sessions that resulted in conversions, the peak conversion rate correlated with much faster page load times (2.4 seconds) in 2015 than in 2014 (3.8s). In other words, consumer expectations and behavior shifted sharply toward a preference for pages that were 37% faster.

0

0.5%

1%

1.5%

2%

2.5%

3%

3.5%

4%

4.5%

5%

5.5%

6%

1s

1.4s

1.8s

2.2s

2.6s 3s

3.4s

3.8s

4.2s

4.6s 5s

5.4s

5.8s

6.2s

6.6s 7s

7.4s

7.8s

8.2s

8.8s

9.2s

9.6s 10

s

10.4

s

10.8

s

11.2

s

11.6

s

12s

2014 2015

Between 2014 and 2015, the optimal load time for peak conversions shifted from 3.8

seconds to 2.4 seconds

Page 11: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

In 2016, the performance sweet spot could be 2 seconds or less2

Page 12: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

12 | SOASTA: Performance Is Everything

Finding 2

Following this trajectory, it’s safe to predict that consumer expectations are likely to increase, not decrease. In the 2016 holiday shopping season, it’s possible that we may see peak conversion rates correspond to load times of 2 seconds or less.

3.0

3.5

2.5

2.0

1.5

1.0

0.5

02014 2015 2016

3.8

2.4

2

In the 2016 holiday season, the optimal load time for conversions

could be 2 seconds or less

Page 13: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

Overall load times improved between 2014 and 20153

Page 14: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

14 | SOASTA: Performance Is Everything

Finding 3

Looking at the distribution of converted traffic for both years, more shoppers experienced faster load times in 2015. Most users experienced page loads between 2.2 seconds and 4.2 seconds, compared to 2014, when the bulk of converted traffic experiences load times between 3 and 5.8 seconds.

However, if site owners focus solely on this load time improvement without correlating it to business metrics, they risk missing other trends, outlined on the following pages, that should be cause for concern.

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

1

1.4

1.8

2.2

2.6 3

3.4

3.8

4.2

4.6 5

5.4

5.8

6.2

6.6 7

7.4

7.8

8.2

8.8

9.2

9.6 10

10.4

10.8

11.2

11.6

2014 2015

Page 15: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

In 2015, fewer shoppers experienced optimal load times4

Page 16: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

16 | SOASTA: Performance Is Everything

Finding 4

Looking at the individual graphs for each year illustrates a compelling finding: in 2015, many visitors did not experience “sweet spot” load times. There is a pronounced gap between the bulk of converted traffic and the 2.4-second peak conversion rate.

Compare this to the converted shoppers in 2014, who fell neatly within the sweet spot.

0

Sessions

Sess

ions

Co

nver

sio

n ra

te (%

)

Conversion rate (%)

Most shoppers did not experienceoptimal load times

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

0

0.69

1.39

2.08

2.78

3.47

4.16

4.86

5.55

1 1.4 1.8 2.2 2.6 3 3.4 3.8 4.2 4.6 5 5.4 5.8 6.2 6.6 7 7.4 7.8 8.2 8.8 9.2 9.6 10 10.4 10.8 11.2 11.6 12

0

Sessions

Sess

ions

Co

nver

sio

n ra

te (%

)

Conversion rate (%)

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

0

0.69

1.39

2.08

2.78

3.47

4.16

4.86

5.55

1 1.4 1.8 2.2 2.6 3 3.4 3.8 4.2 4.6 5 5.4 5.8 6.2 6.6 7 7.4 7.8 8.2 8.8 9.2 9.6 10 10.4 10.8 11.2 11.6 12

Page 17: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

Slower pages experienced up to a 58% increase in bounce rate5

Page 18: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

18 | SOASTA: Performance Is Everything

Finding 5

Looking at the 2015 numbers, we found a strong correlation between load time and bounce rate. For pages that loaded in 2 seconds, the median bounce rate was 26%, while pages that took 10 seconds to load experienced a 41% bounce rate. In other words, the cost of an 8-second slowdown — from 2 to 10 seconds — was a 58% increase in bounce rate.

It’s worth noting that the cost of smaller slowdowns was significant, as well. Just a 1-second slowdown (from 2 to 3 seconds) resulted in an almost 8% increase in bounce rate, while a 5-second slowdown (from 2 to 7 seconds) resulted in a 42% increase in bounce rate.

30%

35%

40%

25%

20%

15%

10%

5%

02s 3s 4s 5s

Bounce rate

6s 7s 8s 9s 10s

A 1-second slowdown resulted in an 8% increase in bounce rate

Pages that loaded in 2 seconds had a 26% bounce rate

Pages that loaded in 10 seconds had a 41% bounce rate

Page 19: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

19 | SOASTA: Performance Is Everything

Preparing your site for the holidays requires a balance between making it reliable and making it fast. Continually improve your site, monitoring throughout the year and tweaking it to keep it in top shape. Because yes, the holidays are going to test you to your limit — but so might your annual Christmas in July sale.

Create an environment of continuous testing and continual improvement in your organization. Using a combination of synthetic and real user monitoring (RUM), make sure that both development and operations people are on board with making performance an integral feature to your site.

How to prepare your site for the holidays (and other peak traffic events)

Page 20: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

20 | SOASTA: Performance Is Everything

1 . MEASURE REAL USER BEHAVIOR

Real user measurement (RUM) tools provide real-time and predictive analytics across the full internet stack including back-end, front-end, and last-mile network conditions, across multiple devices, platforms, and frameworks — and everything in between.

Other features and benefits:

• Understand the impact of third parties on site performance

• Reduce false alarms with meaningful and intelligent alerts based on performance

• Track end-to-end performance through integration with marketing, synthetic monitoring, and application performance monitoring (APM) tools

• Support modern applications and single-page app (SPA) frameworks

L E A R N M O R E

Page 21: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

21 | SOASTA: Performance Is Everything

2. ANALYZE YOUR USER DATA FOR INSIGHTS INTO YOUR CUSTOMERS AND BUSINESS

Your RUM tool should integrate with an analytics engine to provide you with critical insight into real user behavior. You need to correlate this behavior with business metrics — such as conversions and revenue — so you can prioritize the performance optimizations that will give you the most impact on your business.

Other features and benefits:

• Weigh business outcomes of technical changes with predictive analytics

• Prioritize page fixes

• Build more accurate performance tests with session path analysis

L E A R N M O R E

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Page 22: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

22 | SOASTA: Performance Is Everything

3. CONDUCT RAPID PERFORMANCE TESTING — AT SCALE — TO SIMULATE REAL-WORLD CONDITIONS

To prepare your site for seasonal readiness, launches, flash sales, and other peak traffic events, you must be able to scale to millions of virtual users — worldwide — with realtime control over the number and mix of virtual users. You need to be able to quickly verify your site’s reliability under realistic conditions, and you need to know your capacity limits. You should also be able to simulate network conditions, flow control, SLAs, and dynamic data parameterization.

Ideally, your testing tool should integrate with your RUM tool. Having a detailed understanding of common user paths will enable you to create more accurate test scripts that test what your users are actually doing, not what you guess they’re doing.

Other features and benefits:

• Analyze resource and response time analytics in real time

• Spot performance regressions with continuous integration (CI) support

• Identify network-impacted activities with full network emulation

• Test responsiveness from content delivery networks and other third parties

• Measure performance of latest HTTP/2 and SPA framework technologies

L E A R N M O R E

Page 23: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

23 | SOASTA: Performance Is Everything

4. DON’ T FORGET ABOUT MOBILE APP TESTING ON REAL DEVICES

With more than half of all web traffic happening on mobile, you need to ensure your apps and sites are as performant on mobile as they are on desktop. You need automated testing of mobile apps or websites within real devices so that you can measure CPU, memory, battery, and network usage for every app action on each device.

Your mobile app testing tool should integrate with CI tools and device clouds. This allows you to check performance with every new build on as many devices as needed and compare those results with previous builds to locate memory leaks and CPU-, battery-, or network-heavy resources.

Other features and benefits:

• Easily find regressions across different software releases and compare performance of each

• Detect performance variances across multiple devices and operating systems

• Monitor real-time results during and after tests

• Catch issues with UI changes

• Capture true gestures for easy replay during test execution

• Execute parallel tests on multiple devices simultaneously and reuse tests across different devices

• Test your app using devices on your desktop, in the lab, or remotely in device clouds

L E A R N M O R E

Page 24: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

24 | SOASTA: Performance Is Everything

You can compete with Amazon

One thing that can’t be stressed enough is that shoppers want to buy from you — especially during the holidays. As you probably already know, conversion rates are historically much higher during the holiday shopping season. Visitors who come to your site are very motivated to check items off their shopping lists.

Offer them a good experience — including secure, reliable, fast performance — and you radically increase the chances that these primed consumers will convert.

Page 25: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

25 | SOASTA: Performance Is Everything

The SOASTA Digital Performance Management platform gives online retailers a crystal-clear view of the relationship between revenue, user experience, and IT performance.

SOASTA DPM provides the contextual intelligence you need to perform at your best. Spend less time seeking performance intelligence and more time putting it to work. The SOASTA DPM platform is a comprehensive solution set that includes:

• mPulse™ for real user measurement (RUM)

• DataScience for deep data analytics

• CloudTest® for continuous load testing

• TouchTest™ for mobile test automation

• Digital Operations Center (DOC™) for a unified view of digital performance

• Professional Services for expertise in installing, configuring, and optimizing your entire DPM platform, from measurement and testing through to data science analytics (available either as consultants or embedded within your company)

This complete platform supports your digital transformation with end-to-end visibility and intelligence to continuously measure, test, and optimize online performance in production, in real time, and at scale.

L E A R N M O R E

Page 26: 2016 Holiday Retail Insights Report · 1 Sources: IBM Black Friday 2015, Google Holiday Shopping Trends, Adobe Cyber Monday Sales Report 2015 Meeting consumers’ multi-platform demands

soasta.com | Contact Us

North America: 1-855-880-1243 | UK: +44 118 900 1370 | Germany: +49 89 208039 663


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