The cycle details worksheet contains the campaign’s job data as shown on the campaign page along with some additional information. For an expanded job, this data reflects the total performance of its original job and all its job variants. The worksheet is made up of the following columns:
The number of days the campaign cycle is scheduled to run.
The number of days left until the end of the active campaign.
The title of the job being advertised
The city in which the job being advertised is located
State or Region
The state in which the job being advertised is located, or region if it is a non-US or Canada account
The country in which the job being advertised is located
The currency of the account
The industry classification of the job being advertised (assigned automatically by pandoIQ)
The status is displayed for active and paused campaigns. The job statuses are:
Active – the job is part of the campaign and is currently published and distributed.
Active deactivating – the status of the job was changed today. It takes time to remove the job from the various ad sites, and the job will be finally removed at midnight, at which point its status becomes inactive.
Inactive – the job is part of the campaign but is not currently published and distributed.
The distribution status is displayed for active and paused campaigns. The distribution statuses are:
Distributed – The job is being sent to publishers and is spending campaign money.
Not distributed – The job is not being sent to publishers and is not spending campaign money.
Job age is displayed only for the active campaign. It is the cumulative number of days the job was active since being added to its first campaign cycle and is measured across all campaigns.
For an active campaign, this is the number of days, including today, that the job was active during the current campaign cycle. For an ended campaign cycle, this is the total number of days the job was active during the campaign cycle.
This column shows the total number of days the job was prioritized during the campaign cycle.
The number of job variants that were active during the campaign cycle.
Clicks is the number of times candidates clicked to view your job. For the active campaign, this is updated until the time the report was downloaded.
Visits is clicks that were recorded on the publisher’s site and redirected to the employer's career site. Visits represent a portion of the total clicks, as there are some clicks that are recorded on the publisher’s site (e.g., Indeed), but do not convert, meaning they are not redirected to the employer's career site.
Applicants shows the number of candidates who completed the job application process during the campaign cycle. For the active campaign, this is updated until the time the report was downloaded.
The conversion rate is the ratio of applicants for this job to clicks (Applicants/Clicks * 100) during the campaign cycle. Note that if your applicants apply via your ATS and you haven’t embedded the PandoLogic conversion tracking code, your report will not include the Applicants column. This is updated until the time the report was downloaded.
The number of clicks that came from an expanded job, excluding the original job's clicks.
The number of applicants that came from an expanded job, excluding the original job's applicants.
The spend is the total amount spent advertising a job.
The CPA, or cost per applicant, is the average cost of getting a single applicant for a job (Cost/Applicants).
This column appears only for an active campaign cycle. Projected clicks is the number of clicks expected by the end of the campaign cycle. This is updated daily based on your job inventory and any changes you make. The initial projection becomes available 12 hours after the start of the campaign cycle.
The predicted click range gives the prediction context with regard to how well the job will perform online. The predicted click range calculation assumes a job will be active throughout the entire campaign cycle. Three values are available:
Low means that the prediction algorithm expects this job to be hard to attract candidates using online advertising.
Medium means that the prediction algorithm expects this job to perform reasonably using online advertising.
High means that the prediction algorithm expects this job to attract many candidates using online advertising
The ID your company assigned to the job ad.
This is the job’s requisition id assigned by your company.
A unique ID assigned to a job ad by pandoIQ system.