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AB testing is not only a "sharp tool" for growth, but also an effective tool for enterprises to optimize efficiency and increase decision-making accuracy. With the diversification of domestic enterprise service market demands, enterprises have higher "personalized" requirements for AB testing platforms. Against this background, Volcano Engine DataTester set out to build an open platform, striving to provide enterprises with a rich set of open capabilities to choose from.
The "integrated workbench" function launched by Volcano Engine DataTester can connect the capabilities of DataTester with the company's own system, reducing multiple jumps between systems. Help enterprises create exclusive AB platforms to meet their personalized demands, significantly reduce the application cost of enterprise services and improve user experience. This function can provide one-stop customization, publishing, and embedding through complete guidance , helping companies create exclusive AB platforms.
First of all, DataTester's "integrated workbench" can provide configuration capabilities, which can make some differentiated configurations based on the needs of the enterprise and based on the enterprise's own existing capabilities. Such as module display/hide, default selection adjustment, copywriting adjustment, etc.
On this basis, DataTester also provides form building capabilities. The view components corresponding to each field in the form can be split, and users can scatter, delete, and customize configurations at will. In addition, users can also use command line tools to download component code templates, develop components on demand, connect them with their own data, and then upload them to the open platform as a building unit in the building form and embed them into their systems. This building function greatly enhances the scalability and flexibility of DataTester.
In addition, for the "Integrated Workbench" function launched this time, DataTester has also designed a complete open SDK and embedded authentication scheme to ensure that users can embed DataTester's modules into their own websites through process flow.
Take the cooperation project between Volcano Engine DataTester and a news website as an example. The website applies the "integrated workbench" function in its own CMS system, uses OpenAPI to create title experiments in the process of publishing articles, and combines the experiments with the report page template. The way the report is integrated into the CMS system allows AB to form a closed loop within the CMS system. Website authors can add multiple titles when publishing news. When you click Publish, multiple titles will open AB experiments as multiple versions and be automatically associated with the report page. The report page data of the corresponding experiment can be viewed in the backend of each article, and the traffic will be adjusted based on the data returned by the report until it is The title that performs best is placed at full volume.
As a new factor of production, data is supporting the digital and intelligent transformation of enterprises. In this process, most companies will encounter problems such as high data construction rigidity and high barriers to use of data products. Many data middle platforms have been built but cannot be used. The "data flywheel" concept proposed by Volcano Engine takes data consumption as the key to unlocking enterprise data drive, and strives to help enterprises truly use data. The "integrated workbench" capability launched by DataTester this time allows enterprises to easily create personalized AB platforms. Employees can implement AB experiments without any barriers and understand the conclusions to assist business decisions.
It is understood that the Volcano Engine DataTester originated from the long-term accumulation of ByteDance. Data in mid-2023 shows that Byte has conducted more than 2.4 million AB experiments through DataTester, with more than 4,000 new experiments being added daily, and more than 50,000 experiments being run simultaneously. . DataTester currently serves hundreds of companies, including Midea, Geti, BSH, Kaishu Storytelling, etc., providing scientific decision-making basis for all aspects of business such as user growth, conversion, product iteration, and operational activities. It will mature Our "data-driven growth" experience empowers various industries.
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