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Earnings Insights for Q3 – Netflix and Twitter

Source: https://www.similarweb.com/corp/blog/similarweb-quarterly-earnings-insights-for-q3-netflix-and-twitter/

We are kicking off the Q3 earnings season with digital insights into Netflix and Twitter.

Netflix

Q3 is set to be a memorable one for Netflix. With the controversy surrounding the release of french movie “Cuties”, and the #CancelNetflix trending, expectations have been set low for the upcoming earnings report.

We explored the immediate impact of the controversy on cancellations, and below we explore Netflix’s quarterly performance:

  • Netflix account cancellations saw negative growth in Q3, both QoQ and YoY
  • New International (Ex-UCan) subscriptions grew 29.4% in Q3

Cancellations

Despite the controversy and a peak in Netflix cancellations in September, Q3 saw negative growth in cancellations; both QoQ (-10.3%) and YoY (-27.5%).

International Subscription

New international (Ex-UCan) subscriptions continued to grow YoY in Q3, but growth is the lowest since Q2 2018. YoY growth in Q3 2020 was 29.4% compared to 41.3% in Q2 2020 and 37.4% in Q3 2019.

Given the strong historical correlation between SimilarWeb data and Netflix reported Global Ex-UCAN Paid Streaming this is a good indication of the number the company is expected to announce in its upcoming quarterly earnings call.

Twitter

Ahead of the Twitter quarterly earnings report we used our web traffic data to get a better understanding of what the past quarter looked like for Twitter:

  • 30% YoY growth in monthly visits to twitter.com in Q3
  • 12.2% YoY growth in the average time spent on twitter.com in Q3
  • YoY growth in visits to ads.twitter.com turned positive

Visits

Monthly visits to twitter.com globally are continuing to increase. The site experienced a YoY growth in monthly visits of 34.6% in Q3.

Time spent

Twitter users are more engaged than ever before as displayed by an increase in global average visit duration on twitter.com. In Q3 2020 users spent an average of 11.3 minutes on twitter.com compared to 10.37 minutes in Q3 2019, representing 12.2% YoY growth.

Advertisers growth

YoY growth in visitors to ads.twitter.com in the US turned positive in the last week of Q3.

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

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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.

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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.