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Comscore Finds News Consumption Remains Significantly Higher Than Pre-Pandemic Levels

Source: comscore.com/Insights/Press-Releases/2020/8/Comscore-Finds-News-Consumption-Remains-Significantly-Higher-Than-Pre-Pandemic-Levels

New research from Comscore (Nasdaq: SCOR), a trusted partner for planning, transacting and evaluating media across platforms, has found that while audience traffic for certain categories are returning to normal, overall news consumption remains higher than pre-pandemic levels. The figures suggest that millions of Americans continue to rely on media for vital information during the ongoing COVID-19 pandemic.

Total visits to an aggregate of approximately 40 select news sites peaked during the week of April 13-19, 2020 with 8.5 billion total visits. However, since mid-May, total digital visits to news sites have remained somewhat steady. The week of July 27-August 2, 2020 saw 7.4 billion visits, which is 28% higher than pre-pandemic levels during the week of February 3-9, 2020.

Other media consumption highlights from the latest Comscore research include:

  • Total digital visits (mobile and desktop) across ten key categories peaked the week of April 20-26, 2020 with 64.3 billion digital visits. Since then, total digital visits have slowly declined, but remain over 30% higher than pre-pandemic levels as of the week of July 27-August 2, 2020.

  • Total digital visits to select top retail sites peaked in mid-to-late April. After declining for several weeks, visitation to these retail sites again picked up in July, reaching 1 billion visits during the week of July 27-August 2, 2020, a 50% increase in visitation over pre-pandemic levels

  • Since late March, visitation to travel sites has slowly and steadily risen—during the week of July 27-August 2, 2020 visitation reached 525 million. This is still nearly 40% lower than pre-pandemic levels, but a 45% increase over the low point during mid-March.

To learn more about the data behind this article and what Comscore has to offer, visit https://www.comscore.com/.

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ForwardKeys is one of the leading travel analytics firms that provides investment firms with alternative and predictive data on the travel industry. Data is offered both on the demand and the offer-side of the aviation market.

Actual Air Reservations is an aggregation of flight bookings made via the Global Distribution Systems. Exclusive agreements make that global travel data is available, including regions that are generally difficult to track. This data contains valuable insights into the profile, behaviour, and impact of events on past, present and future air travellers.

Seat Capacity provides insights into the scheduled flights from 99% of global commercial airlines.

Financial institutions use this data for artificial intelligence and predictive models to forecast the performances of businesses. Combined, the datasets can provide insights into the financial health of businesses operating in the travel and tourism industry. This list contains companies like airlines, airplane leasing companies, oil companies, hotels and travel agencies.

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LET US HELP

Data is changing the speed of business. Investors, Corporations, and Governments are buying new, differentiated data to gain visibility make better decisions. Don't fall behind. Let us help.

DATA PROVIDER SPOTLIGHT

ForwardKeys

ForwardKeys is one of the leading travel analytics firms that provides investment firms with alternative and predictive data on the travel industry. Data is offered both on the demand and the offer-side of the aviation market.

Actual Air Reservations is an aggregation of flight bookings made via the Global Distribution Systems. Exclusive agreements make that global travel data is available, including regions that are generally difficult to track. This data contains valuable insights into the profile, behaviour, and impact of events on past, present and future air travellers.

Seat Capacity provides insights into the scheduled flights from 99% of global commercial airlines.

Financial institutions use this data for artificial intelligence and predictive models to forecast the performances of businesses. Combined, the datasets can provide insights into the financial health of businesses operating in the travel and tourism industry. This list contains companies like airlines, airplane leasing companies, oil companies, hotels and travel agencies.