Overview

This dashboard tracks the full candidate journey on your Career Site — from first visit through job search, application, and hire — plus engagement with the Candidate Portal (logged-in experience), job alerts, and re-engagement channels. It's organized into five tabs: PCS Performance Overview, Traffic Sources, Job Search, Re-engagement (Job Alerts), and Candidate Portal. This guide follows the same structure.

A note on identity: most Career Site metrics are deduplicated by browser session cookie (a "visitor"), not by email or named individual — the same person visiting from two devices counts twice. Candidate Portal metrics, by contrast, are deduplicated by email address once a candidate has logged in, since that ties activity to a real identity across sessions and devices.

PCS Performance Overview

Unique Visitors

Definition: Unique Visitors measures the count of distinct individuals (by browser session) who visited the Career Site within the selected time period. A visitor is counted once regardless of how many pages they viewed or how many jobs they browsed. This metric spans both logged-out browsing (anonymous visitors) and logged-in visits (candidates who completed a login or signup).

How it is calculated: Counts distinct visitor sessions across job views, applications, logins, and signups.

Note:

• The same person visiting on two different devices or browsers will be counted as two separate visitors.
• Bot traffic and internal/dev/staging hostnames are excluded.

% Unique Returning Visitors

Definition: % Returning Visitors measures the share of unique visitors within the selected period who had previously visited the Career Site on an earlier date. This metric signals audience loyalty and the effectiveness of re-engagement campaigns.

How it is calculated: Divides visitors whose current visit is at least a day after their earliest recorded visit by all visitors in the period.

Unique Job Views

Definition: Job Views measures the count of distinct visitor-position pairs where a candidate viewed a job detail page on the Career Site within the selected time period. This reflects total browsing interest across all open positions.

How it is calculated: Counts distinct visitor-position pairs with a job detail page view.

Note:

• The same candidate viewing the same job listing five times counts as one job view; viewing five different listings counts as five.

Visitor to Applicant Conversion

Definition: Visitor to Applicant Conversion measures the percentage of unique visitors who completed the full journey from visiting the Career Site to submitting an application within the selected time period. This is the primary end-to-end funnel efficiency metric.

How it is calculated: Divides distinct applicants by distinct visitors.

Note:

• A visitor who returns multiple times within the period is counted once in the denominator.
• Also available broken down by device (Visitor to Applicant Conversion Trend by Device) and UTM source group (% Visitor to Applicant Conversion Trend by Major UTM Source Group).

Unique Applicants

Definition: Unique Applicants measures the count of distinct visitors who successfully submitted an application on the Career Site within the selected time period. An applicant is counted once regardless of how many positions they applied to.

How it is calculated: Counts distinct visitor sessions with a completed application submission.

Note:

• Deduplication is by browser session, not email — a candidate applying from two different devices may be counted twice. For email-deduplicated counts, see the Candidate Portal metrics.

Unique Applications Started

Definition: Applications Started measures the count of distinct visitor-position pairs where a candidate opened the application form within the selected time period. This captures application intent before completion.

How it is calculated: Counts distinct visitor-position combinations where the apply form was opened or the apply button was clicked.

Note:

• The same candidate opening the apply form for two different positions counts as two starts. Multiple clicks on the same position's apply button by the same candidate are deduplicated.

Unique Applications Submitted

Definition: Applications Submitted measures the count of distinct visitor-position pairs where a candidate successfully submitted an application within the selected time period. This is the definitive count of completed application actions on the Career Site.

How it is calculated: Counts distinct visitor-position combinations with a completed submission.

Note:

• Each unique candidate-position pair is counted once — the same candidate submitting to two different positions counts as two submissions. Duplicate submission events for the same pair are deduplicated.

Application Completion Rate

Definition: Application Completion Rate measures the percentage of application starts that resulted in a successful submission within the selected time period. A low rate signals friction in the apply flow — such as form complexity, technical errors, or a poor candidate experience.

How it is calculated: Divides distinct submitted visitor-position pairs by distinct started visitor-position pairs.

Note:

• A pair that started but didn't submit contributes only to the denominator. A pair that both started and submitted contributes to both.

% Unique Returning Applicants

Definition: % Returning Applicants measures the share of unique applicants within the selected period who had previously submitted an application on the Career Site on an earlier date. This metric reflects candidate re-engagement and the strength of the talent pipeline nurtured through the Career Site.

How it is calculated: Divides applicants whose current submission is at least a day after their earliest recorded submission by all applicants in the period.

Career Site Hires

Definition: Career Site Hires measures the percentage of distinct applications that resulted in a hire and were attributed to the Career Site & Job Boards source channel via last-touch attribution. This metric connects top-of-funnel Career Site activity to downstream hiring outcomes.

How it is calculated: Counts hired applications whose source channel resolves to Career site & job boards after a priority-based classification.

Note:

• Channel attribution uses a priority cascade: Internal Mobility > Referral > Recruiter Sourcing > Career site & job boards. A candidate who was both referred and applied via the Career Site is attributed to Referral, not Career Site.
• Only the final, completed hire is counted — applications progressed but not hired are excluded.

Avg Match Score of Hires

Definition: Average Match Score of Hires measures the mean match score across career site applications that resulted in a hire within the selected time period. This reflects how well hired candidates align with their positions as assessed by Eightfold's ranking engine.

How it is calculated: Averages the match score for hired, calibrated career site applications.

Note:

• Match scores are generated at the time of application and aren't visible to candidates. Applications without a match score are excluded from the average.

Career Site Conversion Funnel — Unique Users

Definition: This funnel visualises the end-to-end candidate journey by counting distinct visitors at each of three stages: Unique Visitors, Unique Visitors w/ Application Start, and Unique Applicants.

How it is calculated: Counts distinct visitors reaching each stage.

Note:

• A visitor who progresses to submission is counted in all three stages, enabling measurement of drop-off at each transition.
• Row-level security controls which data each user can see — regional users see their regional funnel, not the global total.

Career Site Conversion Funnel — Activities

Definition: This funnel visualises the career site pipeline using raw event counts rather than unique visitor counts, providing a volume perspective on throughput across Job Views, Application Starts, and Application Submits.

How it is calculated: Counts every qualifying event at each stage — a visitor viewing ten jobs contributes 10 to the Job Views stage.

Note:

• Comparing this funnel to the Unique Users funnel reveals whether drop-off is driven by individual candidate behavior or by total activity volume.

PCS Conversion Funnel Metrics by Device

Definition: A pivot table that breaks down the complete Career Site conversion funnel across device types (mobile, desktop, tablet), enabling identification of device-specific friction points in the candidate journey.

How it is calculated: For each device: Visitors, Visitors with Application Start, Applicants, Visitor-to-Applicant Conversion %, Job Views, Application Starts, Application Submits, Job View-to-Start %, and Application Completion Rate — using the same logic as each standalone metric.

Note:

• Device type is determined by the browser's user agent.

All Hires by Channel

Definition: All Hires by Channel breaks down the total count of hired applications by source channel, providing a full picture of which channels contribute most to successful hires.

How it is calculated: Counts hired applications, grouped by source channel: Internal Mobility, Referral, (Recruiter) Sourcing, and Career site & job boards.

Note:

• Channel attribution uses the same priority cascade as Career Site Hires. Each hire is attributed to exactly one channel.
• Also available as a weekly trend (All Hires by Channel Trend).

Traffic Sources

Applicants Trend by Major UTM Source Group

Definition: Shows the count of unique applicants for each normalised UTM source group, enabling comparison of which traffic channels drive the most application conversions.

How it is calculated: Counts distinct applicants, grouped by source group: LinkedIn, Indeed, Google, EightFold, Direct, Unknown, and Others.

Visitors Trend by Major UTM Source Group

Definition: Shows the count of unique visitors for each normalised UTM source group, revealing which channels drive the most top-of-funnel Career Site traffic.

How it is calculated: Counts distinct visitors, grouped by the same source groups as above.

Note:

• The Unknown bucket captures direct traffic and sessions where the source wasn't passed — this is commonly a large bucket for career sites with significant direct or bookmark-based traffic.

% Visitor to Applicant Conversion Trend by Major UTM Source Group

Definition: Measures the conversion efficiency of each traffic source — the share of visitors from each channel who go on to submit an application. This identifies which sources deliver the highest-intent candidates beyond raw volume.

How it is calculated: Divides unique applicants by unique visitors, per source group.

Note:

• Conversion rates for lower-volume sources should be interpreted alongside the visitor and applicant counts — a source with very few visitors can show an unusually high or low conversion rate that isn't statistically meaningful.

PCS Conversion Funnel Metrics by UTM Source

Definition: A pivot table presenting complete funnel performance per individual UTM source, using an extended classification covering primary and secondary job boards, social, Eightfold-native sources, direct traffic, and unclassified sources.

How it is calculated: Each column (Visitors, Application Start, Applicants, conversion %, Job Views, Starts, Submits, and Completion Rate) uses the same logic as its standalone metric, computed per source.

Note:

• Enables full-funnel diagnosis per source — identifying sources with high traffic but poor conversion versus sources with lower traffic but strong conversion efficiency.

PCS Conversion Funnel Metrics by UTM Source & UTM Campaign

Definition: Extends the UTM Source pivot table with an additional campaign breakdown, enabling granular analysis of campaign-level performance within each source channel.

How it is calculated: Same funnel columns as the UTM Source table, computed per source-campaign combination.

Note:

• Sessions where a campaign wasn't passed appear as null under the campaign column.

Keyword Search on CMS

Definition: A ranked table of search queries entered on the Career Site by visitors who arrived from the CMS, showing the count of distinct visitors who used each keyword.

How it is calculated: Counts distinct visitors per unique, non-empty search query.

Note:

• Queries that appear frequently but have few or no matching job listings may indicate candidate demand for roles not currently posted.

UTM Source to CMS

Definition: A pivot table presenting CMS funnel performance for each UTM source, showing how different traffic channels engage with the CMS before proceeding to the Career Site.

How it is calculated: Visitors on CMS, PCS Visitors from CMS, and % Proceeded to PCS, per UTM source.

Unique Visitors on CMS

Definition: Visitors on CMS measures the count of distinct individuals who visited the Eightfold-built Content Management System (CMS) career page within the selected time period.

How it is calculated: Takes the higher of two tracking methods (native CMS tracking and source pixel tracking) to ensure maximum coverage.

Note:

• The CMS refers to career content pages (e.g., careers home page); the PCS refers to job listing and application pages — two separate surfaces.

Unique PCS Visitors from CMS

Definition: PCS Visitors from CMS measures the count of distinct visitors who arrived on the Career Site having previously visited the Eightfold CMS, quantifying how effectively the CMS drives candidates into the active job browsing experience.

How it is calculated: Takes the higher of two tracking methods, consistent with Visitors on CMS.

Note:

• Comparing this metric to Visitors on CMS yields the CMS-to-PCS handoff rate.

% Visitors on CMS Proceeded to PCS

Definition: Measures the share of CMS visitors who went on to visit the Career Site, indicating how effectively the CMS converts content interest into active job seeking.

How it is calculated: Divides PCS Visitors from CMS by Visitors on CMS.

Note:

• A lower rate may simply indicate some CMS visitors aren't active job seekers — for example, visitors reading company news or culture content.

CMS Visitors w/ Keyword Search

Definition: Measures the count of distinct visitors who arrived from the Eightfold CMS and performed at least one keyword search on the Career Site. This indicates active job-seeking intent among CMS-referred visitors.

How it is calculated: Counts distinct CMS-referred visitors with a non-empty search query.

Note:

• Scoped to CMS-referred visitors only — not all keyword searchers on the Career Site.

CMS Visitors JTN

Definition: CMS Visitors JTN (Join Talent Network) measures the count of distinct visitors who arrived from the Eightfold CMS and joined the Talent Network on the Career Site.

How it is calculated: Counts distinct CMS-referred visitors who triggered the Talent Network join action.

Note:

• JTN represents a candidate opting in to future job alerts without necessarily applying to a specific position — a top-of-funnel pipeline-building action.

Job Search

% Visitors Uploaded Resume

Definition: Measures the share of unique Career Site visitors who uploaded a resume at any point during their visit, either within the application form or as a standalone action to receive AI-matched job recommendations.

How it is calculated: Divides visitors who uploaded a resume (via API, manual upload, or as part of an application) by all Career Site visitors.

Note:

• Also available as a weekly trend (% Visitors Uploaded Resume Trend) and broken down by device (Unique Visitors Uploaded Resume by Device) — a lower upload rate on mobile compared to desktop typically reflects the practical difficulty of accessing and uploading files on a mobile device.

Visitor to Application Start Conversion (AI Recommended Jobs)

Definition: Measures the share of visitors who viewed an AI-recommended job listing and went on to click the apply button, scoped exclusively to AI-recommended job views. This metric assesses the quality and relevance of Eightfold's AI recommendations in driving application intent.

How it is calculated: Divides visitors who clicked apply by visitors who viewed the job, restricted to AI-recommended job views only.

Note:

• A job view is flagged as AI-recommended when the candidate arrived via a referrer indicating a recommended or match-sorted listing (`recommended=1` or `sort_by=match`). This flag is set at the journey level, not per-event: once any job view in a visitor-position journey is flagged AI-recommended, that flag propagates forward to the Application Start and Application Submit stages of that same journey — since those downstream events don't carry the original referrer.
• Also available as a monthly trend (% Unique Visitors w/ Application Start (AI Recommended Jobs) Trend) and as an activity-volume funnel (Funnel Conversion on AI Recommended Jobs).

Funnel Conversion on AI Recommended Jobs

Definition: Visualizes the career site conversion pipeline scoped exclusively to AI-recommended job journeys, showing distinct visitor-position pair counts at three stages: Job Views, Application Starts, and Application Submits. A visitor viewing 10 different AI-recommended positions contributes 10 to the Job Views stage, while repeat views of the same position by the same visitor count only once.

How it is calculated: For each stage, counts distinct visitor-position pairs (a visitor paired with a specific job) whose journey is flagged as AI-recommended, using the same stage logic as the standard Career Site Conversion Funnel.

Note:

• A journey is marked AI-recommended if any job-view event within it arrived via an AI-recommended referrer — this is a journey-level flag, not a per-event check, applied because downstream events like Application Starts and Submits typically don't carry the original referrer.
• Once a candidate-position pair's job view is flagged AI-recommended, the subsequent Application Start and Application Submit steps for that same pair are also treated as AI-recommended.
• Comparing this funnel to the overall Career Site Conversion Funnel (Overall) shows whether AI-recommended jobs convert better at each stage.

Funnel Conversion on non-AI Recommended Jobs

Definition: Visualizes the career site conversion pipeline scoped exclusively to non-AI-recommended job journeys, showing distinct visitor-position pair counts at three stages: Job Views, Application Starts, and Application Submits.

How it is calculated: For each stage, counts distinct visitor-position pairs whose journey is flagged as non-AI-recommended, using the same stage logic as the standard Career Site Conversion Funnel.

Note:

• A journey is marked non-AI-recommended if none of its job-view events arrived via an AI-recommended referrer — again a journey-level flag rather than a per-event check.
• Comparing this funnel to Funnel Conversion on AI Recommended Jobs shows whether AI-recommended jobs convert better at each stage.

Career Site Conversion Funnel

Definition: Visualizes the full career site pipeline showing distinct visitor-position pair counts at three stages: Job Views, Application Starts, and Application Submits, with no AI-recommendation filter applied — the baseline against which the AI-recommended and non-AI-recommended funnels above can be compared.

How it is calculated: For each stage, counts distinct visitor-position pairs across all qualifying traffic, using the same stage logic as the standard Career Site Conversion Funnel.

Note:

• Unlike Funnel Conversion on AI Recommended Jobs and Funnel Conversion on non-AI Recommended Jobs, this view has no journey-level AI-recommendation filter applied — it captures all qualifying traffic together.
• Grain is per visitor-position pair, so a visitor's repeated views of the same position count once, while views across different positions count separately. This differs from Career Site Conversion Funnel — Unique Users above, which counts distinct visitors rather than visitor-position pairs.

  % Unique Visitors Using Keyword Search

  Definition: Measures the share of unique Career Site visitors who actively searched for jobs using a keyword query during their visit. This is a proxy for active job-seeking intent and the engagement level of the search feature.

  How it is calculated: Divides visitors with a non-empty, non-wildcard search query by all Career Site visitors.

  Note:

  • Wildcard queries and null queries are excluded, as these represent default search page loads rather than intentional keyword searches.
  • Also available broken down by device (Keyword Search Details).

  % Visitors Using Chatbot

  Definition: Measures the share of unique Career Site visitors who interacted with the Eightfold chatbot feature during their visit. This metric reflects adoption of the conversational candidate experience on the Career Site.

  How it is calculated: Divides visitors who triggered a chatbot interaction by all Career Site visitors.

  Note:

  • Only applicable if the chatbot feature is enabled on the career site configuration. Each visitor is counted once regardless of how many chatbot interactions they initiated.
  • Also available as a weekly trend alongside adoption volume (Chatbot Usage Trend).

  Avg Questions Asked in Chatbot

  

  Definition: Measures the mean number of chat queries submitted per chatbot user within the selected time period. This reflects the depth of candidate engagement with the chatbot — a higher average indicates visitors are exploring more complex queries or need more conversational guidance.

  How it is calculated: Divides total chatbot query events by distinct chatbot users.

  Note:

  • A visitor asking ten questions in a session contributes 10 to the numerator but only 1 to the denominator.

  Queries in Chatbot

  Definition: A ranked table of keywords and questions entered in the chatbot, showing for each query the total number of times it was asked and the count of distinct visitors who asked it. This reveals the most common candidate questions and information gaps on the Career Site.

  How it is calculated: Counts total occurrences and distinct visitors per unique (lowercased) query.

  Note:

  • Null queries are excluded. High-frequency queries with no direct job matches may indicate content or navigation gaps on the Career Site.

  % Unique Visitors Using Map

  Definition: Measures the share of unique Career Site visitors who engaged with the map-based job search feature during their visit. This reflects adoption of the geospatial job discovery experience.

  How it is calculated: Divides visitors who triggered any map-related interaction (show map, hide map, search this area, pin clicks) by all Career Site visitors.

  Note:

  • Only applicable if the map-based job search feature is enabled.
  • Also available as a weekly trend (Map Usage Trends) and by device with individual action breakdowns (Map Usage Details).

  Re-engagement (Job Alerts)

  

  Job Alerts Sent

  Definition: Measures the total count of job alert notification emails dispatched to candidates within the selected time period, covering both AI profile-based alerts and saved search alerts across logged-out and logged-in candidates.

  How it is calculated: Counts individual job alert send events.

  Note:

  • This counts total email sends, not unique recipients — the same recipient receiving multiple alerts in the period contributes multiple times. See Unique Job Alert Recipients for the deduplicated audience size.
  • Also available split into AI Job Alerts Sent Trend and Saved Search Job Alerts Sent Trend.

  Unique Job Alert Recipients

  Definition: Measures the count of distinct email addresses that were sent at least one job alert notification within the selected time period. Unlike Job Alerts Sent (which counts total emails dispatched), this metric deduplicates by recipient, giving the size of the actively notified candidate audience.

  How it is calculated: Counts distinct email addresses that received at least one job alert send.

  Note:

  • Comparing this to Job Alerts Sent gives the average number of alerts sent per recipient.

  % of Unique Visitors from Job Alerts

  Definition: Measures the share of unique Career Site visitors who arrived by clicking through a job alert email within the selected time period, reflecting the effectiveness of job alerts as a re-engagement traffic driver.

  How it is calculated: Divides visitors arriving via a job-alert-tagged link by all Career Site visitors.

  Note:

  • Job alert traffic is identified by a "notification" marker in the visit's source tag, covering both AI job alerts and saved search alerts.
  • Also available as a weekly trend (% of Unique Visitors on PCS from Job Alerts) and broken down by device (Unique Visitors from Job Alerts by Device).

  % Job Alert Click Through Rate

  Definition: Measures the share of sent job alert emails that resulted in a Career Site visit, using a deduplicated click count to prevent inflation from multiple clicks by the same person on the same day.

  How it is calculated: Divides distinct visitor-day clicks from job alerts by total job alert emails sent.

  Note:

  • Multiple clicks from the same visitor on the same day count as one.
  • Also available as a combined weekly trend with send volume (Job Alerts Sent and Click Through Rate Trend), and by alert type and login status (Job Alerts Click Through Rate by Type).

  Unique Visitors from Job Alerts

  Definition: Measures the count of distinct visitors who arrived on the Career Site by clicking through a job alert email within the selected time period. This is the absolute traffic volume contributed by the job alerts channel.

  How it is calculated: Counts distinct visitors with a job-alert-tagged visit.

  Unique Applicants from Job Alerts

  Definition: Measures the count of distinct visitors who arrived via a job alert email and went on to submit an application within the selected time period. This quantifies the downstream conversion impact of the job alerts channel.

  How it is calculated: Counts distinct visitors with a job-alert-tagged submission.

  Note:

  • Candidates who clicked a job alert email but completed their application in a subsequent untagged session won't be captured in this metric.

  % Visitor to Applicant Conversion (Job Alerts)

  Definition: Measures the end-to-end conversion rate of the job alerts channel — the share of visitors who arrived via a job alert email and went on to submit an application.

  How it is calculated: Divides job-alert applicants by job-alert visitors.

  Note:

  • Can be compared to the overall Visitor to Applicant Conversion rate to assess relative channel quality.

  Job Alert Application Conversion Funnel — Unique Users

  

  Definition: Visualises the complete job alert engagement journey across four stages: Recipients, Visitors, Visitors w/ Application Start, and Applicants.

  How it is calculated: Counts distinct users reaching each stage.

  Note:

  • Recipients are identified from alert send records — these are candidates who were sent an alert, not necessarily those who clicked through.

  Logged Out AI Job Alerts Set Up

  

  Definition: Measures the count of distinct email addresses that enrolled in logged-out AI job alerts within the selected time period. Logged-out AI job alerts are sent to candidates who provided their email on the Career Site without creating a full account, with job matches determined by Eightfold's AI engine.

  How it is calculated: Counts distinct email addresses that completed the logged-out alert enrollment action.

  Note:

  • Also available as a weekly trend (AI Job Alerts Setup Trend).

  Saved Search Job Alerts Set Up

  Definition: Measures the total count of saved search job alert subscriptions created within the selected time period. Saved search alerts notify candidates when new positions matching their defined search criteria are posted.

  How it is calculated: Counts subscription creation events.

  Note:

  • Unlike other job alert metrics, this counts total subscription creations, not distinct users — the same candidate creating multiple saved searches is counted multiple times.
  • Also available as a weekly trend (Saved Search Job Alerts Set Up Trend) and as a ranked keyword table (Top Keywords in Saved Search Job Alerts).

  AI Job Alerts Unsubscribe Rate

  Definition: Measures the share of unique AI job alert recipients who unsubscribed from alert emails within the selected time period. A high unsubscribe rate may indicate that AI-generated job matches aren't sufficiently relevant to recipients' expectations.

  How it is calculated: Divides distinct unsubscribes by distinct AI job alert recipients.

  Note:

  • Also available as a weekly trend alongside unsubscriber volume (AI Job Alerts Unsubscribers Trend).

  Saved Search Job Alerts Unsubscribe Rate

  Definition: Measures the share of unique saved search alert recipients who unsubscribed from alert emails within the selected time period. A high unsubscribe rate may indicate that jobs matching candidates' saved search criteria aren't meeting their expectations.

  How it is calculated: Divides distinct unsubscribes by distinct saved search alert recipients.

  Note:

  • Also available as a weekly trend alongside unsubscriber volume (Saved Search Job Alerts Unsubscribers Trend).

  Job Alert Application Conversion Funnel Details

  Definition: A pivot table presenting the complete job alert funnel broken down by alert type (AI vs. Saved Search): setups, sends, recipients, visits, job views, application starts, submits, applicants, and unsubscribers.

  How it is calculated: Each column uses the same logic as its standalone metric, grouped by alert type.

  Note:

  • Enables direct comparison between AI and saved search alert types across all funnel stages in a single view.

  

  Candidate Portal

  

  Sign-ups

  Definition: Measures the count of distinct visitors who completed the Candidate Portal account creation process within the selected time period.

  How it is calculated: Counts distinct visitors who completed account creation or signup confirmation.

  Note:

  • This counts new account creations only — it doesn't include returning candidates who log in to an existing account.
  • Also available as a weekly trend (Sign-ups Trend).

  Unique Visitors (Candidate Portal)

  Definition: Measures the count of distinct visitors who successfully authenticated into the Candidate Portal within the selected time period. This captures the active logged-in user base of the portal.

  How it is calculated: Counts distinct authenticated sessions (login or signup completion).

  Note:

  • This metric is scoped to authenticated sessions only — anonymous Career Site visitors who didn't log in aren't included. It's distinct from the general PCS Unique Visitors metric, which includes both authenticated and anonymous visitors.
  • Also available as a weekly trend (Visitors Trend (Candidate Portal)).

  % Returning Visitors (Candidate Portal)

  Definition: Measures the share of unique Candidate Portal visitors within the selected period who had previously visited the portal on an earlier date. This reflects engagement retention and the stickiness of the logged-in candidate experience.

  How it is calculated: Divides visitors whose current session is at least a day after their earliest recorded portal activity by all portal visitors in the period.

  Note:

  • Session tracking is not cross-device — the same candidate accessing the portal on a new device for the first time won't be identified as a returning visitor.

  Unique Applicants (Candidate Portal)

  Definition: Measures the count of distinct logged-in candidates who submitted an application through the Candidate Portal within the selected time period. This metric is scoped exclusively to authenticated sessions and deduplicates by email rather than browser session, ensuring the same candidate applying from different devices is counted once.

  How it is calculated: Counts distinct email addresses with a completed submission through the authenticated portal.

  Note:

  • Also available as a weekly trend (Unique Applicants Trend (Candidate Portal)).

  % Returning Applicants (Candidate Portal)

  Definition: Measures the share of unique logged-in applicants within the selected period who had previously submitted an application through the Candidate Portal on an earlier date.

  How it is calculated: Divides applicants whose current submission is at least a day after their earliest recorded portal submission by all portal applicants in the period.

  

  Candidate Portal Conversion Funnel — Unique Visitors

  Definition: Visualises the authenticated candidate journey across three stages: Unique Logged-in Visitors, Logged-in Application Form Open, and Unique Applicants.

  How it is calculated: Counts distinct authenticated visitors reaching each stage.

  Candidate Portal Conversion Funnel — Activities

  Definition: Visualises the portal pipeline using raw event counts rather than unique visitor counts, providing a volume perspective on throughput across job views, application form opens, and application submits.

  How it is calculated: Counts every qualifying authenticated event at each stage — a candidate viewing five jobs contributes five to the Job Views stage.

  Note:

  • Comparing the two Candidate Portal funnels reveals whether drop-off is driven by individual candidate behavior or by total activity volume.

  Apply Form Opens

  

  Definition: Measures the count of distinct logged-in visitor-position combinations where the application form was opened within the Candidate Portal during the selected time period. This is the logged-in equivalent of Applications Started and captures apply intent among authenticated candidates.

  How it is calculated: Counts distinct authenticated visitor-position pairs where the apply form was opened.

  Note:

  • Also available as a weekly trend (Apply Form Opens Trend).

  Application Submits (Candidate Portal)

  Definition: Measures the count of distinct logged-in visitor-position combinations where a candidate successfully submitted an application through the Candidate Portal within the selected time period. This is the logged-in equivalent of Applications Submitted.

  How it is calculated: Counts distinct authenticated visitor-position pairs with a completed submission.

  Note:

  • Also available as a weekly trend (Application Submits Trend (Candidate Portal)).

  Application Completion Rate (Candidate Portal)

  Definition: Measures the percentage of apply form opens that resulted in a successful submission within the Candidate Portal. This is the logged-in equivalent of the overall Application Completion Rate.

  How it is calculated: Divides distinct submitted visitor-position pairs by distinct pairs with a form open, both scoped to authenticated sessions.

  Note:

  • Also available as a weekly trend (Application Completion Rate Trend (Candidate Portal)).

  Candidate Portal Detailed Metrics by Device

  

  Definition: A pivot table presenting the Candidate Portal funnel broken down by device type: Sign-ups, Unique Visitors, Apply Form Opens, Application Submits, and Application Completion Rate.

  How it is calculated: Each column uses the same logic as its standalone metric, grouped by device type.

  Note:

  • Enables identification of device-specific friction in the authenticated candidate journey.