T/CAAAD 001-2020 Active Group standards

T/CAAAD 001-2020 The Chinese Digital Marketing Talent Assessment Standards

Publish Date: 2020-10-30 Implement Date: 2020-10-30 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/CAAAD 001-2020

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: Integrated Engineering Construction

ICS Name: Other

Publish Date: 2020-10-30

Implement Date: 2020-10-30

Scope

Main Technical Content: China's Digital Marketing Talent Competency Assessment Standards 1. Scope This standard specifies the indicator system and grading requirements for digital marketing talent competency assessment. 2. Normative Reference Documents The following documents are essential for the application of this document. For dated reference documents, only the dated version applies to this document. For undated reference documents, the latest version (including all amendments) applies to this document. - GB/T 34090.1-2017 Interactive Advertising – Part 1: Terminology Overview. 3. Terms and Definitions The terms and definitions defined in GB/T 34090.1-2017 and the following terms and definitions apply to this document. 3.1 Digital Marketing Digital marketing uses new communication methods and internet technologies to rebuild a new, more efficient system for brand promotion, channel construction, and terminal sales support. 3.2 Bidding Mechanism Internet bidding advertising is a flexible, freedom-oriented, and self-controlled new advertising model widely used by online media. Clients can manage their ads independently and only pay for the click-through effect, which to some extent eliminates the problem of click fraud. 3.3 Landing Page Also known as the landing page or guidance page, it simply refers to the first page that visitors enter after clicking through internal (banners) or external (information flow ads, EDMs, etc.) channels. 3.4 Lookalike Lookalike, or similar audience expansion, is a technology that identifies more potentially related similar audiences based on seed users and certain evaluation models. It's worth noting that lookalike is not a specific algorithm, but a general term for a set of methods that comprehensively apply various technologies such as collaborative filtering and node2vec to achieve user expansion goals. 3.5 Private Sphere Business Model The private sphere business model is an online-offline inte