由於 ZipRecruiter 早已熟悉這種格式，因此能順利導入結構化資料，並且完全遵循 Google 的指南規範。Silin 指出：「由於我們本來就採用這種做法，因此不需要進行什麼大工程。不過，藉由這回與 Google 共事，我們也重新審視了本身處理資料的方式。我們終於能將過去幾年運用機器學習技術發掘的資料，以結構化的方式提供給搜尋引擎利用，讓這些資料發揮更大的價值。」每當 Google 建議新增對求職者有用的欄位，ZipRecruiter 就會在職缺網頁上進行測試及實作。
結果
這間公司以轉換率 (也就是使用者透過 Google 搜尋進入他們的網頁後，註冊成為 ZipRecruiter 服務使用者的百分比) 做為數位成效的主要衡量指標；自從採用 JobPosting 結構化資料後，從 Google 到 ZipRecruiter 職缺網頁的自然流量，與其他搜尋引擎的自然流量相比，Google 所帶來的轉換率遠遠高出三倍，而且職缺網頁上的 Google 自然轉換率也比之前高出 4.5 倍，瀏覽職缺網頁的 Google 訪客跳出率更是下降了超過 10%。
線上求職者都希望能盡早看到剛公布的新職缺，不想在已過時但尚未移除的職缺資訊上浪費時間；而 Google 搜尋結果總能即時無誤地顯示 ZipRecruiter 的徵人啟事，令該公司非常滿意。Silin 表示：「我們對於 Google 搜尋服務的內容更新效率感到十分佩服；所有徵才啟事大體上都是以近乎即時的速度更新。」
ZipRecruiter 已經做好萬全準備，未來將持續推動業務成長並為使用者提供實用服務。Silin 說：「結構化資料的好處在於，能夠快速為求職者提供特定職缺的大量重要資訊，協助他們決定這份工作是否適合自己。全新的 Google 搜尋服務運用結構化資料，可以有效協助求職者在 ZipRecruiter 找到理想工作，這點對我們而言尤其彌足珍貴。」
[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","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"]]
