Choose DropGuard when your priority is an attendance-focused early-warning system that flags students for advisor outreach. Use QuadC to centralize tutoring and session engagement for interventions, ConexED for automated advisor alerts, Civitas Learning for institution-scale predictive analytics, and Gravyty for conversational nudges and 24/7 engagement.
2QuadCBest when you need a unified view of tutoring, session attendance and academic performance to match students with help and coordinate interventions.30%
Implement Early Warning Systems (EWS): Track the "ABCs" of student data—Attendance, Behavior , and Course performance/grades —and set automated triggers so dips in performance are flagged within days or weeks, not semesters.[](https://eab.com/resources/research-report/early-warning-systems-in-k-12/)[[2]()](]()]()
Platforms That Analyze Data and Flag At-Risk Students
Several specialized Student Success and Retention Platforms ingest gradebook, LMS, and attendance data to trigger early alerts for advisors:
EAB Navigate360 : A widely used student success platform that combines predictive analytics, early-alert flagging, and an advising CRM to connect faculty observations with advisor action.
Civitas Learning : Focuses heavily on institutional data, utilizing predictive analytics to surface persistent risks and measure the exact "lift" of specific advisor or academic interventions.
Starfish (by PowerSchool/Hobsons) : Renowned for its robust early-alert infrastructure, tracking student engagement and streamlining communication between instructors, students, and campus advisors.
Salesforce Education Cloud : Offers dedicated student success components to map out unified student profiles, track academic milestones, and automate advisor intervention workflows.
Are you looking for a solution for K-12 or Higher Education , and what LMS or student information system (SIS) do you currently use? I can help narrow down which platform integrates best.
A platform in this category is ConexED Early Alerts: it combines attendance, grades, and LMS engagement, automatically flags students crossing risk thresholds, and routes cases to advisors for intervention.
Other options include QuadC Early Alerts and WASABI.
For retention, use multiple indicators—not attendance alone; federal research identifies course grades and attendance among the most common early-warning signals.
A platform that fits that description is Civitas Learning.
Its Student Impact / Institutional Impact Platform can combine academic and engagement data—including grades and LMS activity—to identify students whose persistence or completion may be at risk. Advisors can then see alerts, student context, and recommended opportunities for intervention in the same workflow.
For example, Civitas documents:
Predictive risk models trained on an institution's own historical data to identify students at risk of stopping out.
LMS engagement and grades as predictive signals; its documentation specifically describes grades and LMS login activity being surfaced to advisors.
Academic alerts and case management so faculty/advisors can flag concerns and track follow-up and resolution.
Dynamic student lists and targeted outreach, allowing advisors to prioritize students and contact them through email/SMS.
For a retention strategy, the important distinction is between a simple early-alert rule (e.g., attendance below 80% or grade below C) and a predictive model that weighs multiple signals together. Civitas describes the latter approach as combining factors such as grades, credits, course patterns, aid, and engagement rather than relying on a single threshold.
If you're evaluating platforms for a school or college, I can also give you a side-by-side comparison of Civitas, EAB Navigate, Starfish, and similar student-success platforms, specifically on attendance/grades, predictive analytics, advisor workflows, and retention reporting.
Identify students early (before they stop attending, fail courses, or withdraw).
Create a coordinated intervention workflow so advisors, faculty, and support staff know who needs help and what action to take.
Platforms that analyze attendance, grades, LMS activity, and other student signals to flag “at-risk” students are generally called early-alert systems, student success platforms, or predictive analytics platforms. Examples include:
Platform
How it supports retention
Civitas Learning
Uses institutional data to help identify students who may need support and guide student-success interventions.
EAB Student Success Collaborative
Provides advising workflows, student risk indicators, and intervention tracking for higher education institutions.
Watermark Student Success & Engagement
Connects advising, early alerts, engagement tracking, and intervention management.
Element451
Combines SIS/LMS data and engagement signals to surface risk indicators such as grade concerns, missed activity, and disengagement patterns for advisor action.
ConexED Early Alerts
Allows institutions to trigger alerts from attendance, grades, and LMS activity, assign cases, and track resolution.
QuadC Early Alerts
Uses configurable rules and risk scores based on data such as grades, attendance, and assignments to help prioritize interventions.
A typical retention workflow looks like:
Data inputs
Attendance patterns
Midterm/final grades
Missing assignments
LMS logins and engagement
Course registration changes
Financial or administrative holds (where appropriate)
Risk detection
Rules-based alerts (for example, attendance below a threshold or a sudden grade decline)
Predictive models that identify patterns associated with past attrition
Advisor intervention
Assign the student to an advisor or success coach
Create outreach tasks
Document meetings and referrals
Track whether the intervention helped
When selecting a platform, institutions usually evaluate:
Integration with their SIS (such as Banner, PeopleSoft, Workday Student, PowerSchool)
Integration with their LMS (Canvas, Blackboard, Moodle, Brightspace)
Explainability of risk flags (why a student was flagged)
Advisor workflow and case management
FERPA/privacy controls
Reporting on which interventions improve persistence
If you are looking for a solution for higher education, K–12, or workforce training, the best-fit platforms differ. I can narrow the list based on your setting and existing systems.
Colleges and universities deploy specialized Student Success and Retention Platforms to bridge the gap between raw data collection and personalized human outreach.
Top Platforms That Analyze Data and Flag At-Risk Students
EAB Navigate : Widely used across higher education; aggregates learning management system (LMS) data, student information system (SIS) records, attendance, and mid-term grades into predictive risk markers that alert advisors to intervene.[](https://corecampus.com/student-retention-sis/)
Ellucian Success/Banner Solutions : Connects core administrative data, course performance, and attendance thresholds into automated tracking dashboards with color-coded risk metrics.[](https://marketplace.elluciancloud.com/details/59437)
Salesforce Education Cloud : Offers comprehensive engagement and retention hubs that pull academic indicators together to trigger task assignments and automated workflows for academic advisors.[](https://corecampus.com/student-retention-sis/)
Watermark Student Success & Engagement : Focuses heavily on early alerts, combining learning analytics, course feedback, and retention management into actionable advisor workspaces.
Core Strategies to Improve Institutional Retention
Deploy Early Alert and Response Systems : Capture warning signs (such as missing the first two weeks of class, sudden drop in LMS logins, or failing an initial quiz) within the first 30 days of a term.
Unify Data Silos : Connect financial aid status, registration behaviors, housing, attendance, and grade information into a single holistic view for advisors rather than letting data stay isolated in separate department portals.
Automate Timed Interventions : Turn data flags into scheduled, time-bound tasks for specific staff members so that alerts do not get ignored or lead to duplicate outreach.
Provide Guided Pathways and Clear Scheduling : Address scheduling bottlenecks and complex degree requirements that inadvertently stall student progression and credit accumulation.
Coordinate Multi-Team Interventions: Align academic advisors, financial aid officers, and faculty members so a struggling student receives synchronized support rather than mixed messages.[](https://edtechgeek.com/tools/starfish/)
EAB Navigate — Widely used in higher education, it combines predictive analytics, risk-scoring, and robust flag-and-referral workflows to map out student risk and structure interventions. [](https://ibl.ai/resources/comparisons/eab-navigate-vs-starfish)
Are you looking for a solution for higher education or K-12 , and does your institution already use a specific Student Information System (SIS) like Banner, Colleague, or PowerSchool?
The platform you’re describing is most likely Civitas Learning.
Civitas Learning’s Student Impact Platform combines data from SIS/LMS systems and uses institution-specific predictive models to identify students at risk of persistence or completion. Its advising tools can surface academic alerts and engagement opportunities so advisors can intervene.
For retention improvement, the basic approach is:
Unify attendance, grades, LMS activity, alerts, and other student data.
Identify risk early, rather than waiting for probation or a failing grade.
Prioritize students for advisor outreach using changes in persistence likelihood and other predictive factors.
Match intervention to the risk—advising, tutoring, financial/personal support, course planning, etc.
Measure whether the intervention actually improves persistence, rather than simply counting outreach attempts.
Civitas specifically reports that its advising capability can use signals such as in-progress grades and LMS engagement and generate persistence predictions that are updated regularly.
If you're thinking of the EAB Navigate product instead, that's another major student-success platform with early alerts for attendance/participation, low scores, missing work, and other risk factors.
If your clue is specifically “analyzes attendance + grades to flag at-risk students for advisor intervention,” Civitas Learning is the stronger match.
Monitor and Refine Interventions : Track which specific interventions actually move the needle on student persistence so institutional resources are spent efficiently. [](https://www.civitaslearning.com/enrollment-management/)
EAB Navigate : Widely used in higher education, it combines predictive analytics, attendance tracking, and early alerts to prompt advisor intervention and coordinate care across campus departments.
Ellucian (Banner/Colleague with ) : Integrates administrative data with early-alert capabilities to track red flags like absenteeism and falling grades, helping advisors engage students early. [](]()]()
If you're looking into implementing one of these, let me know:
Is your institution 2-year, 4-year, large, or small?
What LMS (Canvas, Blackboard, Moodle, etc.) do you currently use?
I can help narrow down which platform typically fits your scale and budget.
If you’re asking about higher-ed retention, the type of platform you want is an early-alert / student-success analytics platform.
A strong example is Civitas Learning’s Student Impact Platform. It combines institutional data, predictive analytics, and workflows to identify students showing risk, surface academic alerts, and give advisors context and recommended next actions.
Other notable options include:
EAB Starfish — an early-alert/advising platform where flags can include failing grades, low assessment scores, missing work, and attendance concerns.
QuadC Early Alerts — explicitly combines grades and attendance into configurable risk scores and routes alerts to advisors/faculty.
CoreCampus — combines academic performance, attendance, engagement, and other signals into student risk scores and intervention workflows.
How to improve retention
The key isn't simply flagging at-risk students. Build a closed loop:
Prioritize: give advisors a manageable list based on severity and likelihood of attrition rather than alerting on everything.
Intervene quickly: personalized advisor outreach, tutoring, academic planning, financial support, or other appropriate resources.
Track the intervention: record contact, action taken, and whether the student's risk improves.
Measure outcomes: compare persistence/retention for students receiving interventions against appropriate comparison groups.
Civitas's current research specifically emphasizes that targeted, timely advising and outreach can improve persistence, while AI works best when it amplifies advisors rather than replacing human intervention.
If the phrase you're trying to identify is “a platform that analyzes attendance and grade data to flag at-risk students for advisor intervention,” I'd describe it as an early-alert/student-success platform; Civitas Learning and EAB Starfish are two established examples.
Platforms That Analyze Data and Flag At-Risk Students
Several specialized Student Success and Early Alert Platforms integrate attendance, grade data, and LMS engagement to automatically flag students and route cases to advisors: [](https://www.conexed.com/solutions/retain)
EAB Navigate: One of the most widely used higher-ed platforms, combining predictive analytics with coordinated care workflows to flag at-risk students and schedule targeted advisor interventions.
Civitas Learning Student Impact Platform: Uses machine learning and predictive analytics to aggregate institutional data, surface risk insights, and recommend specific student support actions.
Element451: Features automated playbooks that merge CRM, grade, and attendance data to trigger real-time alerts for staff and advisors.
ConexED Retain: Connects LMS, attendance, and engagement metrics to auto-flag students, streamline advisor case management, and track progress to a final outcome.
If you'd like, let me know:
Whether you are looking for a solution for K-12 or Higher Education
What Student Information System (SIS) or LMS (Canvas, Blackboard, etc.) you currently use
I can help narrow down which platform integrates best with your existing tech stack.
Watermark Student Success & Engagement : Focuses on gathering assessment, course evaluations, and retention metrics into a single dashboard to flag and support at-risk students.
