The brand name was not disclosed due to the NDA.
The lack of a clear understanding of the needs of candidates for filling the company's vacancies made it difficult to build an effective recruitment strategy and did not allow building clear communication with potential job seekers.
Low conversion rates and high time spent on the selection of applicants, additionally, increased the budget required to close positions in the state.
Decision
- Automated modules for collecting data (parsers) about job seekers have been developed for 25 main sites (rabota.ru, hh.ru, etc.).
- Customized parameters for selecting candidates have been created: field of activity, region, age.
- Additional parameters have been created for building analytics about the needs and market of potential employees by sector, key phrases, gender, communication media.
- A general picture of needs in the context of regions is built on the basis of analytical data.
- More than 500,000 potential applicants were collected for analysis.
- Procedures have been created to regularly update data at a specified interval.
- A constructor has been developed for building complex reports with a flexible set of parameters.
- An additional analytical unit for the marketing department has been developed.
Result
- Increased conversion for job offers.
- Reduced costs and time spent on searching and analyzing potential candidates.
