According to the data in Quarterly Monitoring Report on Banking Service Application in 2017Q3 issued by Analysys, in the third quarter of 2017, ICBC, CCB and e-ICBC ranked top three for the number of starts of 1,004.575 million, 755.837 million and 599.346 million, respectively.
Through the study of Analysys, in the third quarter of 2017, the number of starts of banking service applications presentedan upward trend over the previous quarter. ICBC achieved the growth of 12.4% on a moving base, representing the fastest growth. In the third quarter, ICBC launched a variety of activities to encourage users to sign in and handle transactions via mobile banking, which contributed to increasing the number of starts of mobile banking.
ICBC, CCB and e-ICBC ranked top three for daily average number of starts of 10.919 million, 8.216 million and 6.515 million, respectively.
As analyzed by Analysys, the marketing activities of banking service applications in the third quarter are more target-oriented and concentrated on major factors for promotion of use, including payment, money transfer, repayment of credit card and other activities that can absorb users effectively; meanwhile, banks successively launched new edition of client, optimized service functions, and enhanced user experience and user viscosity.
From the aspect of product innovation, the banks mainly launched new edition of client for banking service applications in the third quarter. Specifically, ABC launched new personal mobile banking client for iPhone and Android systems, comprehensively upgraded customer information center to realize real-time notification of preference information and service notices, and released the brand-new functions such as asset view, enterprise annuity, foreign currency management, fast payment management, payroll, etc. CMB mobile banking version APP6.0 was launched formally. It not only opened consumer finance services for mobile Internet users but also integrated rich consumer credit products such as e-Haodai, e-Zhaodai, e-Shandai, e-Installments, cash installments, mobile cash advance, etc., so as to meet various credit demands of customers.
In the third quarter, the marketing activities of banking service applications mainly aim to absorb new customers and promote transactions. ICBC carried out such activities as “Easy e-banking payment”, “Smart e-banking travel”, etc., to encourage users to pay expenses, sign in daily and handle transactions via mobile banking, thus contributing to enhancing use frequency and user viscosity. CCB launched preferential activities for students and online financial campuses to attract college students to sign contracts and do transactions via mobile banking; for example, users can obtain general coupons of “Shanrong Business” after a transaction via mobile banking, and new users can enjoy the fund security insurance for mobile banking free of charge. BOC carried out the activity of “Bonus package” for eBanking transactions. Specifically, users can join the lucky draw after doing transactions via mobile banking, i.e., remittance, repayment of credit card, payment for livelihood; meanwhile, BOC launched the activities of Roulette Reward and Tamago Monster to increase the attractiveness.
Description on Upgrading of Analysys Qianfan A3 Algorithm: Analysys Qianfan A3 Algorithm applies machine learning approach to make its data more accurately reproduce the actual behaviors of the users and enable product valuation assessment in a more objective manner. The upgrading to the entire algorithm involves the overall process of data collection, cleaning and computation:
1. Collection Side: The SDK is upgraded to adapt to the open API of Android 7.0 and higher; machine learning algorithm is adopted to upgrade the filtration algorithm of “Non-user Subjective Behavior”, which avoids mistakenly elimination while providing more accurate recognition.
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3. Algorithm Model: External data sources are introduced and integrated with Analysys’s owned data for mixed data sources, AI algorithm robots are trained and adjustments are made on algorithms of some indicators.
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Industrial analysis provided by Analysys is made mainly based on macroeconomic industrial data, final quarterly user survey data, historical data of the companies, quarterly business monitoring information of companies, etc. by Analysys’s industrial analysis models with reference to market research, industrial research and company research approaches. And such analysis mainly reflects the market status quo, trends, break points and rules as well as the development status quo of companies.
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Analysys is a leading big data analysis company in the Chinese market. Since the establishment, Analysys has established the big data and analysis service ecological system cored by massive digital user assets and algorithm models. Analysys has been dedicated in providing product services such as digital user portraits and competition analysis and assisting in product operation for enterprises; and assisting enterprises in increasing revenues, saving expenditures, increasing effectiveness and evading risks by operation and management on digital user assets of the enterprises. The products in Analysys Family include Analysys Qianfan, Analysys Fangzhou, Analysys Wanxiang and Analysys Boyue. By September 30, 2017, Analysys had covered 2.19 billion intelligent terminals and monitored over 2.51 million mobile APPs.