The 3i Quarterly Report offers information from five perspectives: Macroeconomic Indicators based on U.S. government datasets; Microeconomic Indicators based on publicly-traded internet company data; a unique of Digital Price Index measure based on common household digital goods/services; an internet Industry Risk Assessment on the major issues facing the internet industry; and an Internet Sentiment Survey, which offers insights into individual usership, expenditure, and preferences related to internet services and goods. Internet Association presents these data in a neutral manner through standardized tables and graphs, which will be repeated in every issue. IA also provides a short summary and Industry Focus section concentrating on a particular aspect of the data to start each issue.
This is also the first time that IA is reporting year over year change on two user sentiment responses which were added in 2019. The questions added were: “For personal use, do you use rental cars or do you use peer-to-peer car sharing services (such as Turo or others) more often?” and “Do you prefer to book home services through the internet or an app (e.g. a cleaner though Handy, a contractor through Angie’s List, etc.) or do you prefer to book them through a phone call or in-person?. In this issue, we focus on the year over year change observed in Q3 2020 since Q3 2019. The year over year change found for the use of peer-to-peer car sharing was 0.015 and that of home services using the internet or an app was 0.019. This shows that there is a gradual rise in online and internet use of such services over the years.
The broader goal of the 3i series is to improve our understanding of the internet as an economic sector. We know the internet contributes massively to the U.S. and other economies around the globe, but we are just starting to piece together the details of the story – what drives the industry, how are people using the internet, how broader trends impact the internet, etc. Numerous governments and other stakeholders are grappling with the same issues and IA provides these reports (along with their data) to help shed light on this dynamic sector.
As we continue to refine our understanding of the internet sector from a measurement standpoint, IA will also revise this report as necessary to ensure as accurate of information as possible. IA notes all changes and any caveats clearly throughout the document in the appropriate section. And as we all read and learn more about the internet as an economic sector, IA will continue to engage with partners and other stakeholders to share valuable insights.
Summary & Highlights
Investment
Total capital expenditures rose by about 82 percent in Q3 2020 since Q3 2019 and nearly 6 percent since Q2 2020. Average capital expenditures per firm increased by 8 percent in Q3 2020 over Q2 2020 and by 86 percent since Q3 2019.
Revenues
Macro
IA’s macroeconomic indicators show total revenues for the sector rose by nearly 3.63 percent in Q3 2020 over Q2 2020 and 1.76 percent since Q3 2019.
Micro
IA’s microeconomic indicators show gross revenue increased by 1.43 percent in Q3 2020 over Q2 2020 and 36.36 percent since Q3 2019. Average revenues increased by 1.43 percent for the quarter in Q3 2020 and 36.36 percent for the year.
Hiring
Hiring levels increased by 2.59 percent in Q3 2020 over Q2 2020, and increased by 2.85 percent since Q3 2019.
Customer Focus
The internet sector continued to prioritize the area of Product & Services Development according to IA’s assessment of firm risk factors. The percentage of companies citing Product & Services Development as a risk factor was 34.22 percent in Q3 2020, and it remains the primary risk factor for the internet sector. The internet sector has started to see initial signs of risks associated with COVID-19 in our IA Industry Indicators (Q1 2020 data) issue. In this quarterly issue, COVID-19 as a risk remains the same as the previous quarter. The top 5 major risk factors are Product & Services Development, Economic & Financial Conditions, COVID-19, Competition and Market.
Time Online
Average internet usage increased in Q3 2020 over Q2 2020, by 2.97 percent, with the average American spending 3 hours and 33 minutes online per day for personal use. Average time spent online was up by 14.53 percent over the past year since Q3 2019 when the total was approximately 3 hours and 6 minutes per day.
Industry Leader: COVID-19 Rising As A Risk Factor
IA began collecting data on how Americans use the internet in Q1 2018 as a unique effort to better understand the value of the internet to everyday Americans and how they perceive a variety of online services.
IA has continued that effort by expanding our dataset and elements of analysis. IA began measuring the preferences of users for car rentals versus peer-to-peer car sharing services, such as Turo, and booking home services, such as handy, Angie’s list, in Q3 2019.IA will examine this variable going forward to better understand how Americans’ view these types of services using a proprietary set of sentiment indexes.
The new question specifically asks respondents their preference between traditional rental cars or peer-to-peer car sharing services (such as Turo or others). The answer choices ranged from only using peer-to-peer car sharing services to only using car rentals.
The year over year change found for the use of peer-to-peer car sharing was 0.015 and that of home services using the internet or an app was 0.019. This shows that there is a gradual rise in online and internet use of such services over the years.
Table 1: Survey Results For Car Sharing & Home Services Questionnaire
| Question | Q3 2020 | Q2 2020 | Year-Over-Year Change |
|---|---|---|---|
| For personal use, do you use rental cars or do you use peer-to-peer car sharing services (such as Turo or others) more often? | -0.0836 | -0.0987 | 0.015 |
| Do you prefer to book home services through the internet or an app (e.g. a cleaner though Handy, a contractor through Angie’s List, etc.) or do you prefer to book them through a phone call or in-person? | 0.0184 | -0.0007 | 0.019 |
Macroeconomic Indicators
Overview: Tables 2 and 3 provide information on the internet industry derived from North American Industrial Classification System (NAICS) codes. IA identifies the appropriate NAICS codes for inclusion through an internal identification methodology for the internet industry and the tables summarize quarter-over-quarter and year-over-year aggregate changes. See the methodology note below for more detail.
Table 2: Internet Industry Revenue
| Qtr-Over-Qtr Percent Change | Year-Over-Year Percent Change | |
|---|---|---|
| Total Revenue (Sum) | 3.63% | 1.76% |
| Revenue From Businesses (Sum) | -20.76% | -29.50% |
| Revenue From Government (Sum) | 2.75% | 1.73% |
| Revenue From Households (Sum) | -12.38% | 2.03% |
Notes: Reports most recent quarterly figures available at time of collection. Quarterly figures for Q3 2020 over Q2 2020 changes. Yearly figures for Q3 2020 over Q3 2019 change.
Table 3: Internet Industry Employment
| Qtr-Over-Qtr Percent Change | Year-Over-Year Percent Change | |
|---|---|---|
| Hires (Levels) | 2.59% | 2.85% |
| Hires (Rate) | -87.84% | -40.47% |
| Job Openings (Levels) | 33.34% | -11.11% |
| Job Openings (Rate) | -408.28% | 281.29% |
| Total Separations (Levels) | -9.76% | -10.82% |
| Total Separations (Rate) | -53.69% | -166.03% |
Notes: Reports most recent quarterly figures available at time of collection. Quarterly figures for Q3 2020 over Q2 2020 changes. Yearly figures for Q3 2020 over Q3 2019 change.
Microeconomic Indicators
Overview: Table 4 provides information on the internet industry derived from information reported by publicly-traded internet companies. IA identifies the appropriate businesses through an internal identification methodology and the tables summarize quarter-over-quarter and year-over-year aggregate changes. See the methodology note below for more detail.
Table 4: Internet Industry Financial Data, Annual
| Qtr-Over-Qtr Percent Change | Year-Over-Year Percent Change | |
|---|---|---|
| Capital Expenditures (Absolute Value) | 5.62% | 78.91% |
| Capital Expenditures (Sum) | 5.65% | 81.78% |
| Market Capitalization (Sum) | 19.14% | 57.61% |
| Net Revenue (Sum) | -6.11% | 16.50% |
| Gross Revenue (Sum) | 1.43% | 36.36% |
| Employees (Sum) | 22.61% | 48.16% |
| Capital Expenditures (Average) | 7.95% | 85.74% |
| Market Capitalization (Average) | 19.14% | 54.26% |
| Net Revenue (Average) | -6.11% | 16.50% |
| Gross Revenue (Average) | 1.43% | 36.36% |
| Employees (Average) | 25.27% | 25.62% |
| Capital Expenditures (Median) | -2.16% | 13.86% |
| Market Capitalization (Median) | 67.44% | 146.94% |
| Net Revenue (Median) | 9.95% | -26.08% |
| Gross Revenue (Median) | 71.23% | 20.62% |
| Employees (Median) | -19.97% | -25.93% |
Notes: Reports most recent quarterly figures available at time of collection. Quarterly figures for Q3 2020 over Q2 2020 changes. Yearly figures for Q3 2020 over Q3 2019 change.
Digital Price Index
Overview: Table 5 provides information on Internet Association’s proprietary digital price index. The index tracks the prices of a typical basket of online, internet-based services and the table summarizes quarter-over-quarter and year-over-year aggregate changes. See the methodology note below for more detail.
Table 5: Digital Price Index
| Year-Over-Year Percent Change | Qtr-Over-Qtr Percent Change | |
|---|---|---|
| DPI | -15.70% | 0.13% |
| National CPI | 3.5% | 2.5% |
Notes: The DPI measure uses a basket of common household internet services and products for individual consumers for which price data was available since 2013. IA collected prices annually for 2013-2017 and began collecting quarterly data starting in Q1 2018.
The index does not account for quality changes of services and products over time. National inflation figures come from U.S. Bureau of Labor Statistics CPI-All Urban Consumers (Current Series).
Quarterly figures for Q3 2020 over Q2 2020 changes. Yearly figures for Q3 2020 over Q3 2019 changes.
Internet Industry Risk Assessment
Overview: Table 6 provides information on Internet Association’s assessment of internet industry risk factors. IA aggregates reported risks from its member companies that are publicly-traded using quarterly reports and the tables summarize reported risks for the previous quarter and year. See the methodology note below for more detail.
Table 6: Most Commonly Cited Risks to Internet Sector Companies
| Top 5 Internet Sector Risk Factors Q3 2020 |
Percent of Risk Factor Observations |
|---|---|
| Product & Services Development | 34.22% |
| Economic & Financial Conditions | 30.67% |
| COVID-19 | 14.67% |
| Market | 13.33% |
| Competition | 12.44% |
| Top 5 Internet Sector Risk Factors Q2 2020 | Percent of Risk Factor Observations |
| Product & Services Development | 31.56% |
| Economic & Financial Conditions | 30.22% |
| COVID-19 | 14.67% |
| Market | 12.89% |
| Competition | 12.89% |
| Top 5 Internet Sector Risk Factors Q3 2019 | Percent of Risk Factor Observations |
| Product & Services Development | 37.44% |
| Economic & Financial Conditions | 25.57% |
| Security & Services Development | 17.35% |
| Market | 15.53% |
| Customer Satisfaction & Subscription Rate | 12.33% |
Notes: Table shows the citation frequency of the five most commonly cited risk factors for Q3 2020, Q2 2020, and Q3 2019 among the five most important risk factors of every individual company.
Internet User Sentiment
Overview: Table 7 provides information on Internet Association’s user sentiment survey. The table reports summarized responses from a U.S. national survey of internet users and presents information on the previous two quarters as well quarter-over-quarter changes.
Table 7: Internet User Sentiment Responses
| Q# | Question | Q3 2020 | Q2 2020 | Q3 2019 | Qtr-Over-Qtr Change | Year-Over-Year Change |
|---|---|---|---|---|---|---|
| 1^ | For personal use (i.e. not for your job/business/work), how much time on average per day do you spend using the internet? | 212.92 | 206.79 | 185.91 | 2.97% | 14.53% |
| 2^ | For personal use, how much time on average per day do you expect to use the internet over the coming three months? | 233.47 | 227.93 | 219.17 | 2.43% | 6.53% |
| 8 | Do you currently use online sites, platforms, or other internet tools to pursue passion projects and/or hobbies? Examples include self-publishing a novel, selling crafts/art that you create, etc. | 51.06% | 45.42% | 44.90% | 12.42% | 13.72% |
| 9 | Is the internet essential for you to pursue these passion project(s) and/or hobby(ies)? | 43.73% | 40.29% | 40.95% | 8.54% | 6.79% |
| 10 | For personal use, how much money do you spend on average per month on all internet-based goods and services of any type? Please consider subscriptions, apps, games, shopping, movies, music, etc. | $105.38 | $102.69 | $93.24 | 2.62% | 13.02% |
| 11 | For personal use, how much money do you expect to spend on average per month on all internet-based goods and services over the coming 3 months? | $131.05 | $128.76 | $123.52 | 1.78% | 6.10% |
| Q# | Question^^ | Q2 2020 | Q1 2020 | Q2 2019 |
Qtr-Over-Qtr Change | Year-Over-Year Change |
| 4 | Do you spend more time using the internet in your personal life or for your work? | 0.2321 | 0.2612 | 0.2433 | -0.029 | -0.011 |
| 5 | Do you spend more personal money shopping online or in (‘brick and mortar’/physical) stores? | 0.0878 | 0.03113 | 0.0001 | 0.057 | 0.088 |
| 6 | For personal use, do you use taxis more often or do you use ridesharing apps like Lyft, Uber, Via, and others? | 0.0781 | 0.0770 | 0.1135 | 0.001 | -0.035 |
| 7 | Do you spend more personal time watching movies, TV, and other videos online or watching them on cable/satellite? | 0.2304 | 0.2202 | 0.0072 | 0.010 | 0.223 |
| 12 | Do you prefer staying in hotels or short-term rentals (e.g. Airbnb, HomeAway, other vacation rentals) for personal trips? | -0.2140 | -0.2353 | -0.2779 | 0.021 | 0.064 |
| 13 | Do you prefer conducting your personal banking and attending to personal finances online or in a physical, ‘brick-and- mortar’ bank? | 0.2280 | 0.2008 | 0.1879 | 0.027 | 0.040 |
| 14 | Do you prefer meeting new people through online platforms, such as Match, Tinder, etc., or through offline interactions, such as blind-dates or at parties? Please consider both romantic dating and friendships. | -0.3596 | -0.3953 | -0.3679 | 0.036 | 0.008 |
| 15 | How do you view the internet’s contribution(s) to society? | 0.4285 | 0.475 | 0.4226 | -0.046 | 0.006 |
| 16 | For personal use, do you use rental cars or do you use peer-to-peer carsharing services (such as Turo or others) more often? | -0.0836 | -0.1026 | -0.0987 | 0.019 | 0.015 |
| 17 | Do you prefer to book home services through the internet or an app (e.g. a cleaner though Handy, a contractor through Angie’s List, etc.) or do you prefer to book them through a phone call or in-person? | 0.0184 | -0.0000 | -0.0007 | 0.018 | 0.019 |
Notes: Question 3 is a filter question to ensure quality of responses.
^Figures given in number of minutes.
^^Figures given as an index with values ranging from negative one to positive one (-1 to 1). A value of negative one (-1) indicates the worst (negative) outcome for the internet industry. A value of zero (0) indicates a neutral sentiment that is equally good and equally bad for the internet. A value of positive one (1) indicates the best (positive) outcome for the internet industry.
IA Industry Indicators (3I) Report – Methodology Notes
Overview
Identification methodologies for the internet industry, technology sector, digital economy, and other synonymous terms have received little attention from academic researchers. The primary approach used by groups to identify ‘high-tech’ industries and companies overwhelmingly rely on expert panels, where individuals subjectively select which companies/industries are or are not part of ‘tech’.
IA’s general identification methodology is primarily based on a set of NAICS codes developed by an expert panel at Economists Incorporated in 2015. The method is in line with other ‘tech sector’ and digital economy identification methodologies, such as those issued by BLS, Brookings Institute, and others. The Internet Industry Indicators Report is primarily based on that methodology with adjustments where needed, such as in the case of weighting and or lesser detail levels. Further details on each set of indicators included in the I3 report are given below:
Macroeconomic Data & Estimates
Macroeconomic data were derived from government datasets broken out by industry. IA utilized datasets for 3 to 6-digit NAICS codes based on IA’s internal identification methodology, which was developed by Economists Incorporated in 2015 using 2012 data. IA aggregated across these industry codes to develop approximations of industry totals and trends with weighted adjustments where necessary and possible.
IA Identification Methodology – Relevant NAICS Codes
| 2012 NAICS Title | IA NAICS Codes |
|---|---|
| Electronic Shopping | 45411 |
| Electronic Auctions | 454112 |
| Wireless Telecommunications Carriers (Except Satellite) | 5172 |
| Wired Telecommunications Carriers | 5171 |
| All Other Telecommunications | 517919 |
| Data Processing, Hosting, & Related Services | 518210 |
| Internet Publishing and Broadcasting & Web Search Portals | 51913 |
| Custom Computer Programming Services | 54151 |
| Computer Systems Design Services | |
| Computer Facilities Management Services | |
| Other Computer Related Services |
Microeconomic Data & Estimates
Microeconomic data were derived from publicly-traded internet companies and high-technology companies with significant internet-based revenues from a variety of sources including financial account reports, annual reports, and quarterly reports. All public IA member companies are included in this list as well as a set of other internet companies determined by IA using expert input and market analysis. IA identified 40+ publicly-traded internet companies in total at the time of data collection, which begins in the sixth week of each quarter with a one-quarter lag.
Digital Price Index Data & Estimates
IA developed its Digital Price Index using a basket of 11 internet services for which it found price data dating back to 2013. IA documented prices through online visits to the pricing detail pages of each service site using searches from its headquarters in Washington, DC. All searches are conducted on the same business day using the same computer and carried out in the sixth week of each quarter with a one-quarter lag. IA uses a 3-month average of monthly prices for this basket for quarterly estimates. The index does not account for quality changes of services and products over time. Where there are free options available for a particular service/good, IA uses the cheapest, premium subscription or per unit cost. Where there are no free options available for a particular service/good, IA uses the cheapest subscription or per unit cost. IA selected services/goods from a range of online activities to reflect a spectrum of typical online activities engaged in by users. IA emphasizes the fact that these are premium options and that many of the documented services include basic, free options as well. The current basket of services includes: Amazon Prime, Blue Apron, DropBox, Hulu, iCloud Storage, LinkedIn Premium, Netflix, New York Times, OneDrive, Spotify Premium, and Wall Street Journal. National and quarterly inflation from US Bureau of Labor Statistics CPI-All Urban Consumers (Current Series). National Inflation reports annual average 12-month percent change for each year. Quarterly inflation reports aggregated 1-month percent change (not seasonally adjusted). Quarterly figures for quarter over quarter changes. Yearly figures for year over year changes.
Risk Assessment Data & Estimates
IA develops its risk assessment utilizing 10-K and 10-Q filings from each of the public internet companies included in its microeconomic dataset. IA aggregates risk assessments from each company filing and standardizes across uniform categories of risk.
Internet User Sentiment & Estimates
IA conducts a national survey of the US general population utilizing SurveyMonkey panel service. IA runs the survey using a representative, statistically significant national sample of 1600+ respondents with no segment/demographic targeting and a 3% error margin.
Contact Us
economics@internetassociation.org
The information contained herein is of a general nature and is not intended to address or identify, intentionally or unintentionally, any particular individual or entity. The information is derived using Internet Association’s internal methodologies and definitions for the internet industry to provide illustrative analysis only. Although IA attempts to provide as accurate of information as possible, there can be no guarantee that such information is accurate at any time now or in the future. The information reported is not intended as advice of any kind and Internet Association bears no responsibility for any influence from it or any decisions made as a result of the information contained herein.