由于已经很熟悉结构化数据,ZipRecruiter 毫不费力地根据 Google 指南采取了这种格式。“无需进行任何大规模的整改,因为结构化数据早已融入到我们的 DNA 中”,Silin 说道。“不过,在这次与 Google 合作部署结构化数据的过程中,我们也借机重新审视了我们对数据的处理方式”,他补充道。“通过将多年来我们借助机器学习技术挖掘的数据以结构化方式呈现在搜索引擎中,我们得以实现了更多价值。”如果 Google 推荐了一个对求职者有用的新字段,ZipRecruiter 便会测试该字段并将它应用到他们的招聘信息页面中。
结果
该公司使用转化率(在从 Google 搜索转到 ZipRecruiter 网站后注册其服务的用户所占百分比)作为衡量数字内容成效的关键指标。在推出 JobPosting 结构化数据后,相比于来自其他搜索引擎的自然流量,流向 ZipRecruiter 招聘信息页面的 Google 自然流量的转化率高出 3 倍。招聘信息页面上的 Google 自然搜索转化率也比以前高出 4.5 倍以上,而且 Google 访问者在转到招聘信息页面后的跳出率降幅超出了 10%。
3x
- Google 带来的转化率高于其他搜索引擎的幅度
4.5x
- Google 自然转化率与之前相比的增幅
10%
- Google 访问者在转到招聘信息页面后的跳出率降幅
最后,ZipRecruiter 的每月非品牌自然流量增加了 35%。“在 Google 招聘信息推出后的第二天,我们在检查效果时就发现转化率提升了”,Silin 说道。
35%
- 每月非品牌自然流量的增幅
在线求职者都希望能尽早看到刚发布的新职位,而不想将时间浪费在已过期但尚未移除的招聘信息上。ZipRecruiter 对 Google 搜索结果中显示的招聘信息的准确性和新鲜度感到十分满意。“Google 搜索体验的内容更新效率给我们留下了非常深刻的印象”,Silin 指出。“其中显示的招聘信息几乎是实时更新的。”
该公司已做好万全的准备,可确保业务不断增长并持续提供高效服务。“结构化数据的好处在于,能够快速为求职者提供与某个职位相关的大量关键信息,帮助求职者决定该职位是否适合自己”,Silin 说道。“采用结构化数据的全新 Google 搜索体验对我们来说非常有用,尤其是它可以帮助求职者在 ZipRecruiter 上查找招聘信息。”
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[[["ZipRecruiter partnered with Google Search and implemented structured data to enhance job posting visibility and searchability."],["Leveraging Google's job search experience and structured data, ZipRecruiter increased its Google organic conversion rate by 4.5 times and lowered bounce rate by over 10%."],["The implementation of structured data resulted in a 3 times higher conversion rate from Google organic traffic compared to other search engines, along with a 35% increase in monthly organic non-branded traffic."],["ZipRecruiter benefited from the real-time updates of job listings within Google Search, ensuring accuracy and freshness for job seekers."],["Structured data enables job seekers to quickly access key job information, improving the job search experience and helping them find suitable jobs on ZipRecruiter."]]],["ZipRecruiter implemented structured data for job postings, aligning with Google's job search experience launched in 2017. They leveraged their existing data and machine learning to enhance data exposure to search engines. This resulted in a 4.5x increase in Google organic conversion rate, a 3x higher conversion rate compared to other search engines, and a 10% decrease in bounce rate for Google visitors. Additionally, monthly organic non-branded traffic increased by 35%. ZipRecruiter also observed real-time updates of their listings on Google Search.\n"]]