WeChat Recruitment | MoSeeker

WeChat Recruitment overview

MoSeeker positions WeChat recruitment as an essential hiring channel, offering WeChat-based recruitment and referral services with dedicated portals and engagement tools.

• MoSeeker uses WeChat as a recruitment and referral channel to attract and engage talent.
• Companies can create dedicated WeChat recruitment portals through MoSeeker.
• The solution enhances job and employer brand promotion on WeChat.
• MoSeeker aims to increase candidate engagement through WeChat-based interactions.

WeChat recruitment performance metrics

The page presents key WeChat recruitment performance indicators, including reach to passive job seekers, higher job view volumes than traditional channels, and notable cost savings.

• MoSeeker reports up to 80% reach rate among passive job seekers.
• Job views via WeChat are reported as 30 times higher than traditional channels.
• Average cost savings per client are stated as USD 150,000.
• These metrics are used to highlight WeChat recruitment’s business impact.

Contact Sales call-to-action

Visitors are invited to contact MoSeeker’s sales team for more information about WeChat recruitment solutions.

• The page includes a call-to-action to reach MoSeeker sales.
• Sales contact is positioned for inquiries about WeChat recruitment offerings.

Feature Highlights overview

MoSeeker outlines major capabilities of its customized WeChat recruitment portal, emphasizing employer branding, tailored job recommendations, and real-time statistics.

• The portal is designed to support strong employer brand presentation.
• Personalized job recommendations are highlighted as a core capability.
• Real-time recruitment data and statistics are available within the portal.
• These features are positioned as key highlights of the WeChat portal.

Dedicated Recruitment Portal features

The dedicated WeChat recruitment portal includes employer branding sections, AI-based job recommendations, passive candidate pooling, and integrated AI agent responses.

• Employer-related content is presented in multiple layers across diverse topics.
• AI-powered personalized job suggestions are used to spark candidate interest.
• Candidates can be added to a talent pool for later reactivation.
• A recruitment AI agent provides 24/7 automated responses to inquiries.

Independent Employer Section features

An independent employer section supports brand promotion, team introductions, employee stories, quick access to hot jobs, direct talent chats, and a resume center.

• The section highlights company and employer branding content.
• Teams can showcase their unique strengths and characteristics.
• Employee work experiences and insights are shared as stories.
• Users can access hot job information with a single click.
• HR can chat directly with candidates and manage resumes quickly.

Retain Top Talent with AI assistant

An always-online AI recruitment assistant offers instant responses, personalized job recommendations, intelligent behavior prediction, and flexible customization to retain and re-engage candidates.

• The AI assistant is always online to answer common candidate questions.
• It recommends suitable jobs based on candidates’ past usage data.
• The assistant predicts candidate needs and pushes relevant content automatically.
• Recruiters can pre-set FAQs and customize the chatbot’s appearance.

Easily Find Nearby Jobs (LBS Job Map)

The LBS Job Map feature displays job icons on a map, detects users’ locations, recommends nearby positions, and provides a list view of local roles.

• Available job locations are shown as icons on an interactive map.
• The system automatically identifies a candidate’s current location.
• Jobs closest to the candidate’s position are recommended.
• A list of openings at nearby job sites is also provided.

WeChat Referrals introduction

MoSeeker introduces a WeChat-based employee referral system that is described as more successful than traditional channels and supports a closed-loop referral process with viral sharing.

• The referral system is built as a comprehensive closed-loop on WeChat.
• WeChat referrals are portrayed as significantly more successful than traditional channels.
• The system activates private talent pools for recruitment.
• Decentralized multi-level viral sharing is enabled at relatively low cost.

WeChat referral performance metrics

The WeChat referral solution is associated with metrics such as reduced recruitment cycles, higher referral success rates, and growth in the proportion of referred employees.

• A 78% reduction in recruitment cycle is reported for referrals.
• Referral success rates are said to increase by 50%.
• The proportion of referred employees reportedly grows by 250%.
• These metrics are used to evidence referral effectiveness on WeChat.

Key Features of Referral overview

Under “Key Features of Referral,” MoSeeker summarizes the main functional pillars of its WeChat referral solution.

• The section groups core referral features into distinct pillars.
• Features focus on analyzing sharing, incentivizing referrals, and engaging candidates.
• Customer feedback is used to contextualize these referral capabilities.

Network Radar (Key Feature 1)

The Network Radar feature analyzes sharing paths of referred positions, tracks referral chains, surfaces visit frequency insights, and enables direct recruiter–candidate interactions.

• Network Radar analyzes sharing paths to identify high-quality candidates.
• It tracks who viewed referral links, how many times, and which jobs were seen.
• Recruiters can see visit frequency to spot highly interested candidates quickly.
• Recruiters are able to chat directly with candidates and invite them to apply.

Diverse Incentives (Key Feature 2)

The Diverse Incentives feature supports multiple reward types, operational tools, configurable reward schemes, personalized posters, and leaderboards to drive employee referral participation.

• Referral incentives can include cash rewards, points, posters, and leaderboards.
• Operational tools and activity reports help optimize referral campaigns.
• Rewards are configurable by referral stage and job type with custom designs.
• The system tracks issuance of rewards in real time.
• Leaderboards display real-time referral performance rankings.

Candidate Engagement (Key Feature 3)

Candidate engagement tools include multi-channel outreach, offline activation via template messages, direct chats with HR or AI, and workflows for requesting employee recommendations.

• The solution enables richer, more convenient recruitment interactions for candidates.
• Recruiters can contact candidates via IM, template messages, SMS, and email.
• Template messages on the WeChat account can activate candidates when recruiters are offline.
• Candidates can chat directly with HR or interact with the recruitment AI agent.
• Candidates may request verified employees to recommend them to recruiters.

Core Values of WeChat Recruitment

MoSeeker summarizes WeChat recruitment’s core values as enhanced attraction, trackable processes, streamlined workflows, expanded reach, stronger engagement, and increased participation.

• Enhanced Attraction uses dynamic, storytelling job and employer brand content.
• Trackable Process provides data-driven transparency and AI-assisted workload reduction.
• The system integrates with ATS and recruitment platforms for streamlined workflow.
• Expanded Reach leverages employee social circles for multi-level viral sharing.
• Stronger Engagement and Increased Participation rely on AI support and referral incentives.

Customer Stories overview

Customer stories from ALDI, Unilever, and Goodyear illustrate how MoSeeker WeChat solutions support mobile recruitment upgrades, campus channels, ATS integration, and localized recruitment in China.

• ALDI China revamped its recruitment WeChat account and added employee referrals.
• ALDI deployed MoSeeker ATS and built a proprietary talent pool.
• Unilever created an online campus recruitment channel via its WeChat account.
• MoSeeker ATS was integrated with Unilever’s internal HR systems.
• Goodyear implemented a localized solution with ATS integration and a WeChat recruitment platform.

Facts Index