What is the purpose of the feature or functionality?
Automated Personal Job Alert Emails are an automated candidate email engagement solution that generates regular and personal emails to people that have joined a brand’s talent community. Using pre-configured email templates, Automated Job Alert Emails dynamically generate personalized and relevant emails based on a member’s enriched profile. It uses algorithms and rules which monitor email opens and clicks and changes the frequency, content and even the status of the candidate based on their actions (or lack thereof). As candidates click, their interests update the algorithms in real-time to improve future engagement.
The benefits of the Automated Job Alert Emails are:
- Fully automated process of keeping your candidate pipelines engaged with highly personalized job alerts
- Relevant jobs and content that is impossible to do manually
- Showcase your brand as an employer of choice
Where is the feature/functionality located?
Automated Job Alert Emails are designed and configured during the initial client onboarding process with the ST Customer Success Team. Our Customer Success team is very effective in designing, configuring, and activating the job alert emails within 40 business days of project kickoff.
How does this the feature / functionality work?
The automated job recommendation service is predominantly driven by the way in which you categorize jobs within your ATS.
Based on these parameters, a candidate’s profile is matched against your job categories to allow a selection of jobs from the highest matching category to be recommended. A secondary filter is applied to match job title within the highest scoring category to ensure a better selection of the jobs within that category.
A new candidate profile with an empty work history will get placed into a default category chosen when an organization is setup. A new profile will get better job matches based on the previous automated email clicks and job applies that are performed over time. For example, if a new job seeker clicks an automated job alert link to a career site and then applies for a job, the job alert algorithm will now have a key piece of information to recommend jobs for future emails (job category apply history).
A job apply is deemed one of the highest drivers for recommendations of similar jobs in the future.
- Job seekers with rich work histories already have good information for job alerts to infer the most applicable category to select jobs.
- With job titles, the automated job alert algorithm will apply better job title matching within those categories to filter a relevant sub-set of jobs for that candidate.
- As a job seeker continues to engage with your ST products, the job alert algorithm gains more information to make better recommendations next time.
- The algorithm is matching people to a job category. Specific jobs recommended are those in a matched category with weighting toward title and/or location.
The intent of automated job alerts is to engage passive job seekers and keep them warm to your brand by presenting increasingly relevant job recommendations over time and not necessarily to recommend exact job matches based on current title.
Keep in mind that job alert email matches are primarily based on job category matching, which are most relevant when a candidate is consistent with the jobs they are interested in or apply for. For example, someone testing job alert emails by clicking on jobs in multiple different job categories, with different titles, located in different locations, will provide the job alert algorithm with a wide array of interests. Therefore future job matches will be less targeted or relevant.
Job alert emails work very well for job categories that contain very similar jobs.
- For example, a 'retail' category for the service industry is mostly a great fit for anyone who shows interest within that category. The secondary job title filter will help to filter out 'managers' from 'juniors' within that one category. While the secondary job title matching works well for 80% of cases, there are some edge cases where the job recommendations may not be ideal. Our experience shows that the touch-point is good enough for a great click through rate to derive strong value from using job alert emails.
Here are some of the rules built into the job alert algorithm:
- Don't send the same job (req) twice
- Order by
- Most relevant to job seekers interests
- Closest to their home
- Most recently posted
- Wait X days after an email before sending again
- X is determined by the client.
- The majority of our clients prefer job alerts to be sent every two weeks.
Limitations of Automated Job Alerts
- Only one job alert email template can be sent per client organization. This means that if a client is primarily targeting job seekers in the United States, then the template will be designed and developed in English
- If a client requires multi-language for job alert emails, then additional orgs would need to be included in the ST contract.
- The job alert algorithm is designed to match 95% of the time, and the algorithm cannnot get it right for everyone all of the time.
- Job alerts were specifically designed for two use-cases:
- high-volume jobs where job seekers provide very little data in the way of interests and resume background
- low-volume mid-upper level Corporate jobs where the job titles are more specific (for example: Java Developer).
- The job alert algorithm struggles with general 'manager' jobs, such as 'Line Manager' or seniority based jobs such as 'SVP Human Resources'.
- In the first instance, the 'General Manager' department is not defined
- In the second instance, the ability to systematically apply seniority to millions of jobs is a challenge.
- The main challenge is that there is no defined standard of job titles, ATS files, data systems, etc., that makes it possible to build a robust taxonomy. Every company has different views as to job titles and requirements.
Advantages of ST Job Alerts
- The job alert algorithm constantly exceeds all industry open and click rate performance, with ST’s best performing client over 90% open rate and 80% click rate.
- ST has driven driven over 20% of the career site traffic from the job alert emails.
Most job alerts systems require the user to setup a job alert by entering a string or series of keywords. The job alert will then send the job seeker jobs with those keywords in the job title. This results in your SVP HR getting job alerts for 'Secretary to SVP HR", etc. ST’s job alert emails try to minimize this by combining the user’s career interests and sending jobs within that interest group. The interest group is not solicited directly from the job seeker -- the user is not required to enter information; rather, the job seeker's interests are built up over time based on the job seeker’s resume profile. More importantly, the job alert algorithm learns the job categories the job seeker clicks, reviews and applies. These interests are updated over time as the job seeker engages with your ST products.