Adobe Digital Economy Project -- November 2017

2. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Main Takeaways: November 2  In the U.S., topline inflation is down in November across DPI categories for the first time after two months of inflation (-0.9% in the all-items index and -1.1% in the all-items less grocery index). Prices are slightly up in the year-over-year in the all-items index (0.3%) and down for the all-items less grocery index (-1.1%).  In November, monthly deflation was driven by consumer products, consistent with the holiday shopping season: televisions (-9.4%), tablets (-6.9%), and appliances (-7.1%).  In the midst of the holiday travel booking season all flights showed 1.7% MoM inflation, while domestic flights increased 1.3% MoM. Consistent with typical travel patterns, international and domestic hotels showed month-over-month deflation (-1.1% and -4.6%, respectively).  In grocery, deflation in November (-0.5%) was driven by beverages materials including coffee and tea (-1.6%), ice cream and related products (-1.5%), fats and oils (-1.0%).  Across the pond, consumers in the U.K. are facing continued price rises in grocery prices., where food prices are up 0.4% MoM in November resulting in a 3.8% year-over-year for the twelve months ending in November  Contrary to last month where almost all states showed inflation, all states in November showed deflation consistent with nationwide holiday discounts

3. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Adobe Digital Insights Background Based on analysis ofaggregated and anonymous data from Adobe Experience Cloud: • Adobe Analytics and Adobe Mobile Services Thousands of brands worldwide including two thirds of Fortune 50 companies rely on Adobe Experience Cloud: • Adobe Experience Cloud powers: • 20 ofthe top 30 U.S.employers • 9 of10largest hotel groups • 7of10largest airlines 3 Adobe Analytics Adobe Mobile Services

4. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Economist Advisors 4 Austan Goolsbee, University of Chicago  Robert P. Gwinn Professor of Economics at The University of Chicago's Booth School of Business  Formerly served as President Obama’s Chairman of the Council of Economic Advisers  Served as the youngest member of President Obama’s cabinet Pete Klenow, Stanford University  Professor, Department of Economics, Stanford University  Currently Visiting Scholar, Federal Reserve Bank of San Francisco  Member of editorial boards for Econometrica, American Economic Review, Quarterly Journal of Economics and others

7. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Methodology – U.K. 7 Based on analysis of aggregated and anonymous data • Fisher Ideal Price Index • $6 of every $10 spent online with top 100 European retailers go through Adobe Experience Cloud ** • Based on analysis 1 billion website visits and 100k products sold online ONS: Consumer Price Index Adobe: Digital Price Index Quantities Sold No Yes Products/quantities updated Annually Daily Number of Products 180,000 100k (currently covered categories) Data Collection Frequency Monthly Daily Data Availability Monthly Daily Offline Prices Yes No Long history Yes No All categories of spending Yes No ** Latest IR U.K. Top 500 Report 2015

8. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Methodology – U.S. 8 Based on analysis of aggregated and anonymous data • Fisher Ideal Price Index • Adobe measures 80% of all online transactions from top 100 U.S. retailers ** • $7.50 of every $10 spent online with top 500 U.S. retailers go through Adobe Experience Cloud ** • Based on analysis of 15 billion website visits and 2.2 million products sold online BLS: Consumer Price Index BEA: Personal Consumption Expenditures Adobe: Digital Price Index Quantities Sold No No Yes Products/quantities updated Every 2 years Monthly Daily Number of Products 83 thousand (all categories) 83 thousand (all categories) 2.5 million (currently covered categories) Data Collection Frequency Bi-Monthly Monthly Daily Data Availability Monthly Monthly Daily Offline Prices Yes Yes No Long history Yes Yes No All categories of spending Yes Yes No Index Type Laspeyeres Fisher Ideal Fisher Ideal ** Latest IR Top 500 Report 2015

9. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Big data in DPI decreases uncertainty 9 DPI CPI Appliances 0.15% 0.46% Airfare 0.08% 0.51% Computers 0.28% 0.49% Furniture and bedding 0.07% 0.31% Grocery 0.10% 0.12% Hotels: domestic 0.04% 2.30% Medical equipment and supplies 0.20% 0.39% Nonprescription Drugs 0.18% 0.47% Sporting Goods 0.12% 0.31% Televisions 0.24% 0.60% Toys 0.25% 0.59%

10. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Inflation rates by price ranges 10 • Televisions have seen higher-ticket items deflate faster than lower-ticket items in 2015 • For computers, mid-range models priced between $700 and $1,200 showed the highest deflation last year *Price bins are determined based on the price the product had when originally launched (first price).

11. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. The Importance of detail: Black Friday discount comparisons 11 • DPI captures the effect of major discount holidays like Black Friday and Cyber Monday because it measures quantities and does so in real-time • Prices online for Televisions dropped later in November 2016 than in 2015, with more discounts during the Black Friday week (Monday 11/21 through Cyber Monday), which accounted for more than half of all Televisions units purchased between November and December • Television prices then increased more in December 2016 than they did in December 2015, a sign that retailers were able to capitalize on later shopping

12. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Measuring rapidly shifting consumer preferences 12 • Electronics see an average of 77% of online spend on new* products** • 17% of monthly online spend for groceries on new products * Products that have been available for 1 year or less ** A product is defined as an item for purchase which has an unique identifier (such as a SKU)

13. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. State-by-state inflation: examples of sources of variance 13 1. Different baskets across states • Consumers in western states buy more on organic fruits and vegetables than other regions • Consumers in southern states buy more meats, poultry and fish than other regions 2. Different shopping attitudes, preferences across states • Consumers in states with lower median incomes tend to shop more on heavy-promotion days 3. Different prices for same products across states • Price-only variances across states tend to be bigger in groceries and smaller in consumer electronics

15. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. U.K. Food Prices Up Over 3.5% year-over-year 15 • U.K. grocery prices recorded another month of inflation in November, the seventh month in a row after a one-month reprieve from rising food prices in April. The Adobe DPI for the U.K. shows cumulative inflation for groceries of 3.8% YoY (November 2016 to November 2017). Prices are up 0.4% MoM. Prices have been on the rise since October 2016. • In the U.K. computers and televisions both recorded deflation in November, reflective of holiday discounts. • Computers in the U.K. saw a -2.7% deflation in November and as a result the category is showing a -1.4% deflation YoY. • Televisions recorded significant deflation in November due to holiday sales: TVs in the U.K. saw a -7.1% deflation in November, bringing the category to -20.1% YoY.

17. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Nationwide deflation in November 17 • All states show deflation in November: consistent with a national downturn in prices for the holiday season, all states showed deflation in November

18. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Variation in prices for travel across states drives regional changes 18 Lowest deflation Highest deflation by state State Oct. MoM Inflation Major Inflation Drivers Florida -0.3% Televisions, Appliances Nebraska -0.6% Televisions, Computers Hawaii -0.7% Televisions, Appliances Alaska -0.7% Televisions, Appliances Washington -0.7% Televisions, Appliances State Oct. MoM Inflation/Deflation Major Deflation Drivers Maine -1.4% Hotels**, Televisions Ohio -1.5% Televisions, Computers South Dakota -1.5% Televisions, Computers Wyoming -1.6% Televisions, Computers Vermont -1.7% Hotels**, Computers * Flight prices are determined by the state of flight origin ** Hotel prices reflect hotel properties in a given state *** New categories introduced in this month’s Adobe DPI

19. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. October 2017 U.S. Recap 19 MoM: September to October MoM: September to October Difference (percentage) Same Sign? YoY: Cumulative October 2016-2017 YoY: Cumulative October 2016-2017 Difference (percentage) Same Sign? DPI CPI DPI vs. CPI DPI vs. CPI DPI CPI DPI vs. CPI DPI vs. CPI Alcohol 0.7% 0.4% 0.3% Yes 3.0% 1.2% -0.5% Yes Appliances 1.0% -0.6% 1.6% No -2.6% -1.3% -1.3% Yes Apparel 0.7% 1.1% -0.4% Yes -5.3% -0.5% -4.7% Yes Auto Parts 0.2% -0.7% 0.9% No 1.5% -0.5% 2.0% No Computers -0.3% 0.2% -0.5% No -4.4% -3.2% -1.2% Yes Flights 3.0% 3.1% -0.1% Yes 3.8% 12.6% -8.8% Yes Furniture and bedding 0.3% -0.4% 0.7% No -5.6% -1.3% -4.3% Yes Grocery 0.7% 0.2% 0.5% Yes 2.0% 0.6% 1.4% Yes Hotels -2.1% -0.6% -1.5% Yes 3.4% 3.8% -0.4% Yes Jewelry 0.6% -0.1% 0.7% No -4.2% 3.3% -7.5% No Medical equipment and supplies 0.1% -0.2% 0.3% No -0.1% 0.4% -0.5% No Nonprescription drugs 0.6% 0.2% 0.4% Yes 1.9% 0.4% 1.5% Yes Personal care products 0.2% 0.1% 0.1% Yes 0.1% -0.7% 0.8% No Pet Products 1.3% 0.1% 1.2% Yes 1.2% -0.7% 1.9% No Sporting goods 0.5% -0.1% 0.6% No -2.4% -2.1% -0.3% Yes Televisions -1.6% -2.6% 1.0% Yes -11.7% -10.3% -1.4% Yes Tools & Home Improvement 0.4% 0.5% -0.1% Yes -0.6% -0.8% 0.2% Yes Toys -1.1% 0.0% -1.1% No -3.9% -8.0% 4.1% Yes Weighted Average Inflation* 0.5% 0.3% 0.2% Yes -0.1% 0.4% -0.6% No Weighted Aggregate Inflation, Less Grocery** 0.5% 0.5% 0.0% Yes -1.8% 0.3% -2.1% No * Weighted average inflation is calculated using CPI-U relative component weights (2014-2015) across the shared categories in the DPI and the CPI, less apparel ** Grocery is a large component of the current CPI weights, so changes in grocery prices drive the majority of weighted average inflation. As we add more categories (like housing, auto etc.), these aggregate numbers will change *** New category addition to DEP this month *** New categories introduced in this month’s Adobe DPI

20. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. November 2017 U.S. Summary 20 • Main MoM inflation in November: • Int’l flights, domestic flights, pet products • Main MoM deflation in November : • Televisions, appliances, tablets YoY MoM Alcohol 4.7% 0.2% Apparel -4.6% -0.4% Appliances -3.0% -7.1% Auto Parts 1.5% -0.8% Computers -5.4% -3.1% Electronics -4.8% -4.4% Flights 3.8% 1.7% Domestic Flights 3.2% 1.3% Intl Flights 6.4% 3.3% Furniture and bedding -4.5% -1.3% Grocery 2.0% -0.5% Domestic Hotels 3.3% -4.6% Intl Hotels 6.3% -1.1% Jewelry -5.5% -2.8% Medical Equipment and Supplies -2.0% -1.1% Nonprescription Drugs 2.0% 0.1% Personal Care Products 2.4% -0.2% Pet Products 3.4% 0.5% Sporting Goods -1.1% -3.2% Tablet -15.3% -6.9% Televisions -8.1% -9.4% Tools & Home Improvement -0.3% -1.0% Toys -3.4% -4.0% Weighted Average Inflation* 0.3% -0.9% Weighted Aggregate Inflation, Less Grocery** -1.1% -1.1% * Weighted average inflation is calculated using CPI-U relative component weights (2014-2015) across the shared categories in the DPI and the CPI, less apparel ** Grocery is a large component of the current CPI weights, so changes in grocery prices drive the majority of weighted average inflation. As we add more categories (like housing, auto etc.), these aggregate numbers will change

21. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Alcohol 21 • Adobe DPI shows cumulative inflation of 4.7% YoY (November 2016 to November 2017) • Prices for Beer show cumulative inflation of 1.4% YoY • Prices for Spirits show cumulative inflation of 2.7% YoY • Prices for Wine show cumulative inflation of 5.2% YoY • For November 2017, prices increased 0.2% vs October 2017 MoM METHODOLOGY: • The data used reflect transactions for ~120 K products 4.7%

22. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Apparel 22 • Adobe DPI shows cumulative deflation of -4.6% YoY (November 2016 to November 2017) • For November 2017, prices decreased -0.4% vs November 2017 MoM METHODOLOGY: • The data used contains transactions for ~1.5 m products • Products include clothes for women, men, boys, girls, infants, and footwear

23. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Appliances 23 • Adobe DPI shows cumulative deflation of -3.0% YoY (November 2016 to November 2017) • Main YoY price decreases for Appliances priced between $200 and $400 • For November 2017, prices decreased -7.1% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~110 K products • Products include large appliances such as fridges, ovens, washers, dryers as well as smaller appliances such as vacuums, mixers, blenders etc.

24. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Auto Parts 24 • Adobe DPI shows cumulative inflation of 1.5% YoY (November 2016 to November 2017) • Main YoY price increases for Auto Parts priced between $110 and $140 • For November 2017, prices decreased -0.8% vs October 2017 MoM METHODOLOGY: • The data used reflect transactions for ~300 K products

25. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Airfare 25 • Adobe DPI shows cumulative inflation of 3.8% YoY (November 2016 to November 2017) • For November 2017, prices increased 1.7% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~370 K flight routes • Includes associated fees, where applicable

26. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Airfare: domestic 26 • Adobe DPI shows cumulative inflation of 3.2% YoY (November 2016 to November 2017) • Largest monthly inflation for flights to and from Alaska (9.0%), Washington (4.5%), and Colorado (3.4%) • For November 2017, prices increased 1.3% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~370 K flight routes • Includes associated fees, where applicable

27. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Airfare: international 27 • Adobe DPI shows cumulative inflation of 6.4% YoY (November 2016 to November 2017) • Largest monthly inflation for flights to and from South America (7.3%), Asia (4.6%) and Africa (1.7%) • For November 2017, prices increased 3.3% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~370 K flight routes • Includes associated fees, where applicable

28. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Electronics 28 • Adobe DPI shows cumulative deflation of -4.8% YoY (November 2016 to November 2017) • Main YoY price decreases for Electronics priced greater than $1500 • For November 2017, prices decreased -4.4% vs. October 2017 MoM METHODOLOGY: • The data used contains transactions for ~1 M products • Products span across dozens of diﬀerent categories such as televisions, laptops, Blu-ray players, desktops, tablets, wearables, headphones, video games,printersetc..

29. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Electronics: computers 29 • Adobe DPI shows cumulative deflation of -5.4% YoY (November 2016 to November 2017) • Main YoY price decreases for Computers priced between $1200 and $1600 • Main YoY price increases for Computers priced between $0 and $300 • For November 2017, prices decreased -3.1% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~63 K products

30. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Electronics: televisions 30 • Adobe DPI shows cumulative deflation of -8.1% YoY (November 2016 to November 2017) • Main YoY price decreases for Televisions priced greater than $2000 • Main YoY price increases for Televisions priced between $0 and $300 • For November 2017, prices decreased -9.4% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~33 K products

31. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Electronics: tablets 31 • Adobe DPI shows cumulative deflation of -15.3% YoY (November 2016 to November 2017) • Main YoY price decreases for Tablets priced between $550 and $900 • For November 2017, prices decreased -6.9% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~13 K products

32. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Furniture and Bedding 32 • Adobe DPI shows cumulative deflation of -4.5% YoY (November 2016 to November 2017) • Main YoY price decreases for Furniture and bedding priced between $100 and $150 • For November 2017, prices decreased -1.3% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~173 K products • Products include interior and exterior furniture, and mattresses

33. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Groceries 33 • Adobe DPI shows cumulative inflation of 2.0% YoY (November 2016 to November 2017) • For November 2017, prices decreased -0.5% vs October 2017 MoM • Main MoM inflation in beverages materials including coffee and tea (-1.6%), ice cream and related products (- 1.5%), fats and oils (-1.0%). METHODOLOGY: • Our dataset covers an estimated 30-40% of all online grocery purchases. It contains transactions for ~195k products • The mix of grocery products bought online is not the same as oﬄine – the top category for online shopping is drinks (nonalcoholic), while for oﬄine shopping it is meat

34. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Hotels: domestic 34 METHODOLOGY: • The data used contains transactions for ~250 K hotel properties • Includes associated fees, where applicable • Adobe DPI shows cumulative inflation of 3.3% YoY (November 2016 to November 2017) • Largest inflation in October in Florida (6.5%), Arizona (4.7%), Louisiana (4.5%) • Largest deflation in November in Massachusetts (- 16.0%), Vermont (-12.5%), and D.C. (-11.8%) • For November 2017, prices decreased -4.6% vs October 2017 MoM

35. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Hotels: international 35 METHODOLOGY: • The data used contains transactions for ~250 K hotel properties • Includes associated fees, where applicable • Adobe DPI shows cumulative inflation of 6.3% YoY (November 2016 to November 2017) • Largest price decreases were for hotels in North America (4.5% deflation MoM) • Largest price increases were for hotels in South America (- 1.7% inflation MoM) • For November 2017, prices decreased -1.1% vs October 2017 MoM

36. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Jewelry 36 METHODOLOGY: • The data used contains transactions for ~300K products • Includes men’s and women’s rings, necklaces, watches, bracelets, earrings, etc. • Adobe DPI shows cumulative deflation of -5.5% YoY (November 2016 to November 2017) • For November 2017, prices decreased -2.8% vs October 2017 MoM

37. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Medical Equipment and Supplies 37 • Adobe DPI shows cumulative deflation of -2.0% YoY (November 2016 to November 2017) • Main YoY price decreases for Medical equipment and supplies priced greater than $135 • Main YoY price increases for Medical equipment and supplies priced between $0 and $10 • For November 2017, prices decreased -1.1% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~6,000 products • Includes supportive and convalescent equipment, dressings and first aid kits, and medical equipment for general use

38. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Nonprescription drugs 38 • Adobe DPI shows cumulative inflation of 2.0% YoY (November 2016 to November 2017) • Main YoY price decreases for Nonprescription Drugs priced greater than $40 • Main YoY price increases for Nonprescription Drugs priced between $0 and $10 • For November 2017, prices increased 0.1% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~16 K products • Includes all non-prescription medicines taken by swallowing, applying on your skin (such as topicals), inhaling, as suppositories, or enemas.

39. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Personal care products 39 • Adobe DPI shows cumulative inflation of 2.4% YoY (November 2016 to November 2017) • Main YoY price increases for Personal care products priced between $0 and $10 • For November 2017, prices decreased -0.2% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~110 K products • Includes cosmetics, lotion, hair (shampoo, conditioner) and nail care

40. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Pet products 40 • Adobe DPI shows cumulative inflation of 3.4% YoY (November 2016 to November 2017) • Main YoY price increases for Pet Products priced between $0 and $10 • For November 2017, prices increased 0.5% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~70 K products • Includes pet food & treats, kitty litter and accessories (leashes, pet beds)

41. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Sporting Goods 41 • Adobe DPI shows cumulative deflation of -1.1% YoY (November 2016 to November 2017) • Main YoY price decreases for Sporting Goods priced between $100 and $200 • Main YoY price increases for Sporting Goods priced greater than $350 • For November 2017, prices decreased -3.2% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~300 K products • Products include small equipment and accessories (balls, gloves, uniforms) as well as large equipment such as treadmills, weightlifting tools etc.

42. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Tools & Home Improvement 42 • Adobe DPI shows cumulative deflation of -0.3% YoY (November 2016 to November 2017) • Main YoY price decreases for Tools & Home Improvement priced between $140 and $280 • Main YoY price increases for Tools & Home Improvement priced between $0 and $50 • For November 2017, prices decreased -1.0% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~225 K products

43. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Toys 43 • Adobe DPI shows cumulative deflation of -3.4% YoY (November 2016 to November 2017) • Main YoY price decreases for Toys priced between $70 and $200 • For November 2017, prices decreased -4.0% vs October 2017 MoM METHODOLOGY: • The data used contains transactions for ~249 K products • Products include toys, games as well as playground equipment

45. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Online job seeking continues YoY declines 45 METHODOLOGY: • Based on analysis of aggregated and anonymous data from more than 1 billion visits to U.S. employment-search websites and top employer career pages • Adobe Experience Cloud powers 20 of the top 30 U.S. employers** U.S. online job seeking is down -17.7% YoY in November.

47. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Online housing search grows YoY 47 METHODOLOGY: • Based on analysis of aggregated and anonymous data from more than 2 billion visits to U.S. housing search websites Online search for purchases and rentals is up 11.3% YoY in November.

49. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. DPI Coverage of U.S. CPI Categories 49 DPI Category February 2017 DPI Weights All-Items All-Items Minus Groceries Grocery 54.00% N/A Furniture and bedding 5.16% 11.22% Hotels 4.99% 10.85% Personal care products 4.79% 10.40% Tools & Home Improvement 4.61% 10.03% Flights 4.27% 9.27% Pet Products 4.01% 8.72% Alcohol 3.99% 8.68% Sporting goods 2.95% 6.40% Auto Parts 2.62% 5.71% Nonprescription drugs 2.45% 5.33% Toys 2.00% 4.35% Computers 1.87% 4.07% Appliances 1.21% 2.63% Televisions 0.66% 1.44% Medical equipment and supplies 0.41% 0.89% Shelter Food Away From Home Vehicles Apparel Electricity, gas etc. Grocery Furniture Lodging Personal Care Np. Drugs To be added to DPI Professional services Hospital services Current DPI Unlikely

50. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Inflation rates by price ranges, cont’d (tablets) 50 • Tablets have seen higher-ticket items deflate faster than lower-ticket items • The greatest price decrease and increase in November and December were for tablets priced between $350 and $600 *Price bins are determined based on the price the product had when originally launched (first price).

51. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Inflation rates by price ranges, cont’d (televisions) 51 • The highest priced televisions have have seen faster deflation than lower priced items • The greatest price decrease in November and increase in December were for TVs priced between $600 and $1,000 *Price bins are determined based on the price the product had when originally launched (first price).

52. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Inflation rates by price ranges, cont’d (televisions) 52 • Mid-range computers have seen faster deflation than lower and higher priced models • The greatest price decrease in November were for mid range computers between $700 and $1,200 while the greatest price increase in December were for lower priced models between $300 and $700 *Price bins are determined based on the price the product had when originally launched (first price).

53. © 2017 Adobe Systems Incorporated. All Rights Reserved.© 2017 Adobe Systems Incorporated. All Rights Reserved. Digital Price Index: Fisher Ideal Price Index ∑𝑖𝑖=1 𝑛𝑛 𝑃𝑃𝑖𝑖𝑖𝑖 𝑈𝑈𝑖𝑖𝑖𝑖−1 ∑𝑖𝑖=1 𝑛𝑛 𝑃𝑃𝑖𝑖𝑖𝑖−1 𝑈𝑈𝑖𝑖𝑖𝑖−1 ∗ ∑𝑖𝑖=1 𝑛𝑛 𝑃𝑃𝑖𝑖𝑖𝑖 𝑈𝑈𝑖𝑖𝑖𝑖 ∑𝑖𝑖=1 𝑛𝑛 𝑃𝑃𝑖𝑖𝑖𝑖−1 𝑈𝑈𝑖𝑖𝑖𝑖 • The Fisher Ideal Price Index uses quantities purchased on the current period (month) and a previous period (previous month) to determine actual consumer’s preferences. Instead of assuming that consumers preferences for what goods to buy are constant over a certain number of years, it is able to account for the fact that they are constantly changing what they buy. 𝐹𝐹𝐹𝐹𝐹𝐹 𝐹𝐹𝐹𝐹𝐹 𝜋𝜋𝑡𝑡 =

Adobe Digital Economy Project -- November 2017

Adobe Digital Economy Project -- November 2017

Recomendados

Más contenido relacionado

La actualidad más candente

La actualidad más candente(20)

Similar a Adobe Digital Economy Project -- November 2017

Similar a Adobe Digital Economy Project -- November 2017(18)

Más de Adobe

Más de Adobe(20)

Último

Último(20)

Adobe Digital Economy Project -- November 2017