Aurora Reschedules Timing of Third Quarter 2018 Earnings Conference Call
SHENZHEN, China, Nov. 12, 2018 (GLOBE NEWSWIRE) -- Aurora Mobile Limited (NASDAQ: JG) (“Aurora” or the “Company”), a leading mobile big data solutions platform in China, today announced that it has rescheduled the timing of its third quarter ended September 30, 2018 earnings conference call.
Aurora’s management will now host its earnings conference call on Tuesday, November 20, 2018 at 7:00 a.m. U.S. Eastern Time (8:00 p.m. Hong Kong time on the same day).
Dial-in details for the earnings conference call are as follows:
| International: | |||
| U.S.: | |||
| Hong Kong: | |||
| China: | 400-620-8038 | ||
| Passcode: | 5778115 | ||
Please dial in 15 minutes before the call is scheduled to begin and provide the passcode to join the call.
A telephone replay of the call will be available after the conclusion of the conference call through 9:00 p.m. U.S. Eastern Time, November 27, 2018. The dial-in details for the replay are as follows:
| International: | ||
| U.S. Toll Free: | 1-855-452-5696 | |
| Passcode: | 5778115 |
A live and archived webcast of the conference call will be available on the Investor Relations section of Aurora’s website at .
About Aurora Mobile Limited
Founded in 2011, Aurora is a leading mobile big data solutions platform in China, pioneered in providing mobile developer services such as push notification, instant messaging, analytics, sharing and short message service (SMS). Aurora has served approximately 344 thousand mobile app developers and approximately 888 thousand mobile applications, accumulated data from nearly 15 billion installations of the Company’s software development kits (SDKs), with monthly unique active device base of nearly 1 billion, as of June 2018. Based on Aurora’s vast data coverage and insights garnered, the Company has expanded its offerings into big data solutions, including targeted marketing, financial risk management, market intelligence and location-based intelligence. By utilizing artificial intelligence and machine learning, Aurora strives to help improve productivity for businesses and society through harnessing the power of mobile big data to derive actionable insights and knowledge.
For more information, please contact:
Aurora Mobile Limited
E-mail:
Christensen
In China
Mr. Christian Arnell
Phone: 8
E-mail:
In US
Ms. Linda Bergkamp
Phone:
Email:
