Manatal is a new generation of hiring software created for internal HR departments and recruiting firms in various industries. With its cloud-based architecture and cutting-edge construction, it streamlines the entire recruitment process, from sourcing through onboarding and beyond. The software’s primary features relate to records and information for applicants and employees. Teams can start using Manatal’s tools with little to no training because of its practical and intuitive user interface.
Manatal was founded by Jeremy Fichet and Yassine Belmamoun in early 2019. Their goal was to develop a system that makes the hiring process simpler for candidates, hiring managers, and recruiters alike. Despite being a relative newcomer to the HR technology industry, Manatal has done fairly well for itself; among their clients are household names like Unilever and Coca-Cola. The company now employs a varied workforce of over 50 people across its two sites (Singapore and Bangkok).
The platform includes all of the common capabilities found in ATSs, including pipeline drag-and-drop functionality and compliance tools (for GDPR, CCPA, and PDPA). It offers activities management, a full analytics suite, a user-friendly career page builder, and collaborative capabilities. Manatal also provides tools including a skill bank, the ability to post job ads on a variety of free and paid channels, the ability to view candidate and job histories, and a placement/hire management system.
Manatal Key Features
- Candidate sourcing: Advertise job openings on numerous free and paid job forums, find prospects on Linkedin and other media, and ask for recommendations from current workers.
- Applicant tracking: Recruitment pipeline with drag-and-drop functionality, customised fields and views, comprehensive candidate profiles, and quick and advanced search.
- Candidate profile enrichment: Automatically gather information about candidates from their Linkedin profiles, social media accounts, and other sources and add it to the profiles you already have.
- AI-powered recommendations: Manatal uses artificial intelligence (AI) to analyse your job descriptions, extract the critical abilities required to carry out those tasks, and then select applicants from your talent pool who are most suitable for the position.
- Recruitment CRM: Linkedin Chrome extensions to connect with and save candidates who match your job needs quickly, email integration to engage with candidates, dashboards to track candidate placements, revenue generated, and more are all available.
- Career page: Build a career page with your company’s branding or incorporate your current one. Also, you can tailor job application forms to each position’s specifications.
- Reports and analytics: Get thorough statistics and analytics to personalise your dashboard and track crucial indicators.
Manatal Core Features
1. Automated recommendation of candidates and candidates scoring
Manatal looks over job descriptions and pulls out the essential qualifications and skills that applicants must possess in order to succeed in the role at hand. The software then compares the outcomes with the talent pool to match the applicants who are most qualified for the post. The recommendation algorithm assesses how well the individuals’ qualifications, locations, jobs, and educational backgrounds match the needs. Candidates are ranked according to the chosen criteria. The more points a candidate receives, the better qualified they are for the position.
2. Automated enrichment of candidate profiles on social media
Users’ AI tools at Manatal begin searching the web for information on more than 20 social media networks as soon as they establish a new candidate profile. With the help of this feature, recruiters can learn more about the qualifications and objectives of their prospects. When fully integrated, the platform presents all of the candidate’s social media account information on a single page.
3. Job boards one-click multi-posting
A position can be created by a recruitment team and shared on thousands of free and paid channels. They comprise well-known social media and job board sites like Indeed, ZipRecruiter, Glassdoor, LinkedIn, and Facebook in addition to regional or specialty channels. Applicants that submit applications through these methods will automatically have Manatal profiles built for them and be added to the jobs that match them.
4. Create and customize your career page
The programme gives businesses the tools they need to stand out with customised career pages. Manatal enables the ten-minute building of career pages from scratch. Customers can use the numerous options provided and select the template that best represents their brand.
Manatal Pros and Cons
PROS
- Manatal is reasonably priced and provides a 15-day free trial so consumers can try it out before committing.
- Manatal may be used quite easily. It has candidate organisation pipelines that are drag-and-drop compatible.
- Hiring managers can gain significant time savings by using Manatal’s AI-based suggestions tool. It can scan job descriptions, then look through a user’s talent pool to find the people who are best fit for the position.
CONS
- According on feedback from multiple users, the AI recommendations tool performs best with resumes written in English and is less accurate with resumes written in other languages. The fact that Manatal’s interface is only available in English and that career pages cannot be written in languages other than English and Spanish have also drawn criticism from a number of users.
- A free plan is not available from Manatal. This is mentioned as a drawback because a number of ATSs targeted at SMBs do provide a free-for-life version, which puts Manatal slightly behind rivals.
- Prebuilt integration modules are not available from Manatal. They do have an open API that customers can use to integrate bespoke tools and third-party products, although doing so took some extra work and technical expertise. It’s also important to note that only users of Manatal’s Custom plan have access to its Zapier connector and API. The Professional and Enterprise plan subscribers cannot.
- Candidates can be found by users using Boolean Search or Advanced Search, however the two search approaches cannot be combined. For instance, users are unable to use the AND, OR, and NOT Boolean search operators in Manatal’s Advanced Search page.
Manatal Pricing
Manatal has Three plans with fixed pricing. When Billed annually, they cost as follows:
- Professional: This plan costs $15 per user per month for up to 15 jobs per account and 10,000 candidates. Customers on this plan can add unlimited guests.
- Enterprise: This plan costs $35 per user per month for unlimited jobs per account, as well as unlimited candidates and guests.
- Custom: This plan costs as per your demand. You will get everything as Enterprise plan plus custom features and custom integrations.
Conclusion
Manatal is a budget-friendly applicant tracking system made to assist HR departments in finding and hiring the best candidates. You may use it to build a career page with your company’s branding, advertise job openings on numerous job sites, and collect applicant applications. Additionally, you may submit candidate profiles and automatically add information obtained from their social media accounts to enhance them.
Manatal’s drag and drop-enabled, customisable recruiting pipeline is something we like. Additionally, it has mobile apps for access on-the-go and reasonable functionality in a LinkedIn chrome plugin that enables you to rapidly connect with and store applicants that meet your job needs. These capabilities include customisable analytics dashboards so you can track crucial metrics.
One of Manatal’s interesting features is their AI-powered recommendations engine, which scans your job descriptions and extracts the essential skills required to complete the job before searching your talent pool and surfacing people that have those talents. Manatal’s recommendations engine may substantially speed up the process of locating qualified candidates and lessen the hiring managers’ workload with the correct data.