艺恩

tool describes

艺恩(Endata) is a brand owned by Beijing 艺恩 Century Data Technology Co., Ltd., established in 2009. It is a data intelligence service provider focusing on the pan-entertainment and consumer industries. The company is committed to connecting content and consumer data through big data and AI technology to drive customer business growth. Its core capabilities are to aggregate, analyze and interpret huge data sets in the entertainment and consumer industries, and provide solutions covering multiple scenarios such as film and television, celebrities, social media, and e-commerce. 艺恩It serves thousands of customers in the content and consumer industries, has won the titles of "National High-tech Enterprise" and "China Big Data Innovation Enterprise", and holds more than 30 independently developed software copyrights and invention patents.

core functions

• Marketing think tank: Provide evaluation of each link in content marketing to help improve media strategies, including spokesperson systems, IP systems, film and television sponsorship systems, public opinion systems, etc. to assist in content marketing decisions.
• Social Media Rubik's Cube: Covering mainstream social media, real-time monitoring and insight into social media users 'voice volume, interaction and purchasing behaviors, and providing full-process data decision support for consumer enterprises' product innovation, KOL launch evaluation, and marketing effectiveness monitoring.
• E-commerce think tank: Monitor more than 160,000 brands on more than 16 home appliance appliance platforms, efficiently obtain sales trends of categories, brands, and single products, and support brand merchants 'e-commerce live broadcasts and sales strategy assistance decision-making.
• Data management platform: Build industry algorithm models and label libraries around core technologies such as semantic analysis, storage computing, data mining, and machine learning to provide data analysis products, platform products and research insights.
• 艺恩 Star number: Provides functions such as tracking popular content of Xiaohongshu, grasping market trends, mining high-quality talents, optimizing grass planting strategies, real-time release monitoring and insight into competition strategies.

usage scenarios

• Film and television project investment and decision-making: Producers and investment institutions use film and television think tank data to conduct IP value assessment, market trend prediction and project risk assessment.
• Brand content marketing and spokesperson selection: The brand marketing department uses marketing think tanks to evaluate the value of celebrity spokespersons, predict content popularity, quantify endorsement effects, and optimize marketing budget allocation.
• Social media public opinion monitoring and KOL launch: The corporate public relations and marketing team uses social media Rubik's Cube to monitor brand voice volume, analyze competitive product dynamics, scientifically evaluate the effectiveness of KOL cooperation, and optimize launch strategies.
• E-commerce sales strategy formulation: The brand e-commerce department uses e-commerce think tanks to monitor category sales trends, analyze competing product prices and promotional activities, and formulate accurate live broadcast and sales strategies.
• Industry research and strategic planning: Consulting companies and investment institutions use 艺恩 industry reporting and data tools to conduct track insights, consumer portrait analysis and market entry strategy research.

applicable population

• Brand Marketing and Strategy Department (preferred): Professionals who need to conduct data-driven marketing decisions, competitive product analysis, and user research.
• Film, television and entertainment content producers and distributors: Including production companies, streaming media platforms and distributors of movies, dramas, and variety shows.
• Short Video creators/self-media people/MCN organizations: Content ecosystem participants who need to gain insight into industry trends, evaluate content value, and find cooperative brands and talents.
• E-commerce operation and product team: practitioners responsible for brand online sales, live broadcast delivery and product marketing strategies.
• Investment analysts and industry researchers: Institutions and individuals who focus on pan-entertainment and new consumer tracks and need to conduct in-depth industry analysis and investment decisions.

unique advantages

• Deeply cultivate authoritative data assets in the vertical field of pan-entertainment:艺恩 Since its establishment in 2009, it has continued to accumulate data in vertical fields such as film and television, stars, and content IP, and has built a data pool of more than 300 billion pieces of data, an increasing number of 500 million pieces. It has established deep barriers and industry authority in the entertainment content data dimension. This kind of vertical deepening allows its insight into professional scenarios such as film and television box office forecasting and star business value evaluation far beyond that of general-purpose data analysis platforms.
• Cross-domain data connection capability of "content × consumption": The core positioning of 艺恩 is to "connect content and consumer data." Its solutions not only cover content production and dissemination links (such as film and television, and social media content), but also go deep into consumer behavior and sales transformation links (such as e-commerce monitoring), which can help companies understand how content marketing really affects consumer decisions, achieving the goal of "The full-link effect measurement from" volume "to" sales "is its key differentiated value as a data intelligent service provider.
• The composite service model of "product + consultation":艺恩 not only provides standardized data products (such as 艺恩 stars and social media Rubik's Cube), but also provides in-depth customized research consultation and solutions. This model, which combines the flexibility of SaaS tools with the depth of professional consulting services, can meet customers 'needs at different levels, from daily data monitoring to strategic project decision-making. It is especially suitable for leading brands and large content organizations with high requirements for data insight.