1、 HOLIDAY PREDICTIONS 2017 Methodology Adobe Experience CloudAdobe Analytics Cloud Most comprehensive report of its kind in industry Based on analysis of aggregated and anonymous data via: Adobe Analytics measures 80% of online transactions at the largest 100 U.S. web retailers* Report based on analy

2、sis of 1 trillion visits to over 4,500 retail websites and 55 million SKUs Analysis based on 6 million average daily orders during November and December Companion research based on survey of 1,100+ U.S. consumers and 440+ U.S. retailers that sell products online 12M Social Mentions From August 1 Oct

3、ober 11, 2017 *Source Internet Retailer 2017. HOLIDAY PREDICTIONS 2017 Key findings 1. 1.The 2017 U.S. online holiday season is poised to be the first to break $100 billion. The 2017 U.S. online holiday season is poised to be the first to break $100 billion. Online revenues during the holiday season

4、 are 13.8% higher in the U.S. than last year (compared to 3.8% for all U.S. holiday retail) 2. 2.Big and small retailers are the winners, beating out the middle. Big and small retailers are the winners, beating out the middle. Big retailers have higher order values and desktop conversion rates while

5、 small retailers have the highest mobile conversion rates 3. 3.Consumers are buying more and buying cheaper: Consumers are buying more and buying cheaper: for toys and consumer electronics (amongst others), unit growth is outpacing revenue growth 4. 4.Mobile is key to winning. Mobile is key to winni

6、ng. Fast mobile growth is closely correlated with fast revenue growth, but desktop orders remain the biggest 5. 5.Novelty and nostalgia drive top product buzzNovelty and nostalgia drive top product buzz. The most buzzed about products on social include throwbacks to the 80s and 90s (like Teddy Ruxpi

7、n and the Super Nintendo Classic) and new offerings like the Nintendo Switch HOLIDAY PREDICTIONS 2017 Online holiday shopping season breaks $100 billion Methodology Prediction based on Adobe analysis of aggregate and anonymous online visits and shopping trends from U.S. retailers conducting eCommerc

8、e *Source: Forbes estimate of NFL team valuations *Source: The National Retail Federation estimates overall holiday retail will increase between 3.6% and 4.0% Online holiday shopping season (Nov-Dec) revenue in the U.S. is projected to be $107.4B in 2017, 13.8% more than online holiday spending in 2

9、016 Just how much money is $100B? Those two months of revenue are enough to buy every National Football League team*, with $20B left to spare Double digit growth, but for how long? Since 2015, online holiday season revenue growth has been slowing Online revenue growth during holiday continues to out

10、pace overall retail growth (13.8% online vs 3.8% overall*) Online will continue to gain share, but it wont fully offset the ”retail apocalypse” SURVEY SAYS Consumers say theyll spend 55% of their holiday budget online, up from 53% last year HOLIDAY PREDICTIONS 2017 The big get bigger Glossary *The T

11、hanksgiving shopping weekend is Thanksgiving Day through Cyber Monday Thanksgiving weekend online revenue growth consistently outpaces holiday daily averages, but year-over-year growth plateaus The Thanksgiving weekend* generates $19.7 billion or $1 in $6 (18%) of online holiday shopping Cyber Monda

12、y is set to remain the overall leader with both the highest predicted revenue ($6.6B) and fastest growth (16.5% year-over-year) SURVEY SAYS More than half of all retailers (51%) report offering Black Friday promotions, while a third (33%) plan to offer online door-crashers or major coupons HOLIDAY P

13、REDICTIONS 2017 It pays to be big or small Glossary Small retailers: under $10M annual sales Medium retailers: Between $10M and $100M annual sales Large retailers: Over $100M annual sales Big retail, bigger baskets Big retailers ($100M annual revenue) get bigger orders on every device This contribut

14、es to large retailers growing revenue twice as fast in first half of 2017 vs. other retailers Small retail, mobile dominance Small retailers ($10M annual revenue) have the best mobile conversion rate (1.9%) Average retailers cant find foothold The “in-betweeners” are in a tough spot. Their average c

15、onversion rates (2.4%) fall behind both large (3.2%) and small companies (2.7%) HOLIDAY PREDICTIONS 2017 Making the move towards cheaper products Methodology Based on Adobe analysis of hundreds of thousands products and millions of transactions as measured by the Adobe Analytics Cloud Online toy sal

16、es poised to grow During the holiday season, online shoppers buy more items at lower prices 4 out of 5 measured product categories show higher unit growth than revenue growth, suggesting that consumers are orienting towards lower priced products Toys and apparel are seeing significant unit growth (3

17、9% and 20%, respectively) while jewelry trails the pack with a holiday season decline of 3% HOLIDAY PREDICTIONS 2017 Top products: consumer electronics Ear buds, VR, and home assistants dominate top electronics Air Pods, Playstation VR, Oculus, and Google Home lead overall social buzz Source 12 mill

18、ion Adobe Social Mentions August 1 October 11 SURVEY SAYS For shoppers that use social media for help in holiday shopping, 56% use social media to get new gift ideas HOLIDAY PREDICTIONS 2017 Top products: toys Top sellers in toys from 2016 offer new versions in 2017: Shopkins, Paw Patrol, Hatchimals

19、 Nostalgia is big in toys this year: NERF Guns, Teddy Ruxpin Source 12 million Adobe Social Mentions August 1 October 11th HOLIDAY PREDICTIONS 2017 Top products: video games & consoles Top selling video games also pick up on nostalgia: Super Mario Odyssey and Pokemon Ultra Sun & Moon First holiday s

20、eason for the Nintendo Switch is driving buzz Super Nintendo (SNES) Classic release is set to be just as popular as last years Nintendo Classic release Video Game Consoles Source 12 million Adobe Social Mentions August 1 October 11th Video Games HOLIDAY PREDICTIONS 2017 Cyber Monday shoppers are las

21、t-minute closers The Golden Hours of retail Three hours on Cyber Monday (8PM- 10PM local time) bring in more revenue than an entire average days worth of revenue Conversion rates reach their yearly peak the last hour of Cyber Monday (11PM-12AM local time) at 4x the annual average The early bird gets

22、 the worm Customers that shop in the small hours of Cyber Monday morning will find more in stock and are most likely to find the deals theyre looking for SURVEY SAYS Only 22% of shoppers are finished holiday shopping by the end of Black Friday, making Cyber Monday a key day for shoppers HOLIDAY PRED

23、ICTIONS 2017 Mobile shoppers: the x-factor in growth Mobile is where people shop, and sometimes buy High-growth companies see more smartphone visit and revenue growth than below-average growth companies (23% and 32% respectively) Holiday season set to cross mobile traffic tipping point While desktop

24、 purchases still account for two- thirds of revenue, mobile is the starting point for shoppers: for the first time, consumers will visit retailer websites from mobile devices more than desktops HOLIDAY PREDICTIONS 2017 S.F., Seattle, and D.C. prove mobile x-factor Glossary DMA: “Designated Market Ar

25、ea” Higher average order value in Top 10 Revenue Markets $30 0.9% Higher conversion rates of Top 10 Revenue Markets DMAs with high smartphone growth from revenue see most overall revenue growth HOLIDAY PREDICTIONS 2017 The bigger the TV, the bigger the discounts Methodology Based on analysis of tele

26、visions sold during the holiday season in 2016 Glossary Average discount is defined as the average maximum discount for specific TVs at various screen sizes, compared to prices on October 1 Shoppers for 70-inch TVs can save over $1,100 during the holiday season As TV screen size increases, the large

27、r potential discounts increase HOLIDAY PREDICTIONS 2017 Daily price deflation shows steep price savings on key days Methodology Based on Adobe analysis of hundreds of thousands products and millions of transactions as measured by the Adobe Analytics Cloud Discounts were steeper on TVs in 2016 rather

28、 than 2015 Shoppers saw the steepest deflation (-24.0%, from Oct. 1st) for TVs on Thanksgiving weekend last year HOLIDAY PREDICTIONS 2017 Shop around on key days for toys, electronics Methodology Based on Adobe analysis of hundreds of thousands products and millions of transactions as measured by th

29、e Adobe Analytics Cloud Glossary Average savings defined as the average difference between the higher and lowest price for a specific product across retailers on a single day Shopping around pays, especially on key days. Discounts from shopping around peaked last year on the weekend including Cyber

30、Monday for toys (33.0% price difference between the highest and lowest price for the same product) and electronics (22.0%) HOLIDAY PREDICTIONS 2017 Apps are part of the season, but e-mail dominates App installs are down year-over-year on key dates, but usage is up. App downloads peak the day before

31、key shopping days E-mail marketing still drives revenue over the Black Friday Cyber Monday weekend SURVEY SAYS 64% of shoppers have a retail app downloaded on their mobile device but only 32% will download an app specifically for holiday shopping SURVEY SAYS 37% of shoppers say e-mail remains their

32、favorite way to receive an offer on their mobile device HOLIDAY PREDICTIONS 2017 Shape of the holiday season 2017 Methodology Prediction based on Adobe analysis of aggregate and anonymous online visits and shopping trends from U.S. retailers conducting eCommerce Half of all online U.S. holiday revenue will accrue before November 29th With 12 days left before Christmas, last-minute shoppers will account for 25% of online U.S. holiday revenue