For Online Course Platforms and EdTech Providers

Stop Wasting Time on Low-Conversion Leads Prioritize Students Ready to Enroll

We understand the frustration of chasing prospects who never complete a course signup. Over 70% of education leads go cold due to poor qualification—our custom AI lead scoring changes that, boosting enrollment rates by up to 40% without adding headcount.

Join 150+ education businesses with scalable student pipelines

Qualify leads in real-time based on course engagement

Increase enrollment conversions by focusing on high-intent prospects

Scale your outreach as your platform grows, no bottlenecks

The "Lead Qualification" Problem

Overwhelmed by unqualified inquiries from casual browsers, such as one-time webinar attendees who download free syllabi but never engage further

Struggling to differentiate serious learners from tire-kickers in demo sign-ups, like those who preview a single course module but drop off without attempting practice quizzes

Enrollment teams bogged down by manual follow-ups on low-engagement prospects

Scaling limitations as course offerings expand to new niches like vocational certifications or micro-credentials, leading to missed high-value student segments such as career-switchers

Inconsistent lead prioritization causing burnout in admissions during peak seasons

Inconsistent lead prioritization causing burnout in admissions during peak seasons, like back-to-school rushes when application volumes spike by 300%

Custom AI Lead Scoring Built for Your Platform's Growth

We've helped 50+ edtech platforms replace fragmented tools with unified AI systems that scale seamlessly

Why Choose Us

You're not alone in feeling the pinch of leads that look promising but fizzle out before enrollment. We've seen course creators pour hours into nurturing prospects who browse modules once and vanish. At AIQ Labs, we build bespoke lead scoring models tailored to online education. These AI systems analyze behaviors like video watch time, quiz interactions, and demographic fit to score leads on their likelihood to enroll and complete. No more guessing. It's enterprise-ready architecture that grows with your user base, handling thousands of daily interactions without slowing down. We integrate directly with your LMS or CRM, creating a single owned system that eliminates subscription sprawl.

What Makes Us Different:

Deep integration with platforms like Teachable or Thinkific for real-time scoring

Predictive models trained on your historical enrollment data for accuracy

Scalable backend that supports unlimited student growth without performance dips

Unlock Scalable Growth in Student Acquisition

Prioritize High-Intent Learners

Prioritize High-Intent Learners: Focus your team's energy on prospects showing strong signals, like repeated module previews, quiz attempts, or active participation in virtual info sessions. This cuts follow-up time by 50%, letting admissions staff nurture relationships that lead to 20% higher course completion rates and improved alumni referral networks.

Scale Without Bottlenecks

Scale Without Bottlenecks: As your course catalog expands to serve more niches like professional development bootcamps or compliance training, our AI handles the surge in leads effortlessly. Enterprise architecture ensures no slowdowns during launch seasons, supporting 10x growth in enrollments while maintaining precise scoring based on LMS data integrations.

Boost Enrollment Efficiency

Boost Enrollment Efficiency: Automated scoring flags ready-to-enroll students in under 5 minutes by analyzing behaviors like syllabus downloads and peer recommendation shares, reducing manual reviews. We've seen platforms double their conversion rates by redirecting efforts to top-scored leads, all while keeping your operations focused on student-outcome metrics like retention and certification pass rates.

What Clients Say

"Before AIQ's lead scoring, our team was chasing shadows—spending weeks on leads who downloaded free e-books but never enrolled in our coding bootcamps. Now, it scores based on quiz completions, video lesson views, and GitHub project interactions, and we've seen a 35% jump in paid enrollments in just two months. It's like having an extra admissions counselor who never sleeps."

Sarah Jenkins

Founder and CEO, LearnPath Academy (Online Coding and Tech Skills Platform)

"Scaling our corporate training platform meant dealing with floods of unqualified B2B inquiries from non-decision-makers. Their custom model integrated with our CRM and LMS overnight and started prioritizing HR directors based on webinar attendance and needs assessment form submissions. Enrollments are up 28%, and our sales cycle shortened from 45 to 22 days for leadership development programs."

Mike Rivera

Head of Growth and Partnerships, SkillForge Training (Corporate Soft Skills and Compliance Provider)

"We were hitting walls with generic tools that couldn't handle our niche yoga instructor certification courses. AIQ built a scorer that weighs intent from free trial meditation session downloads and community forum contributions, and it's transformed our outreach. Last quarter, we converted 42% more leads into certified instructors without hiring more staff—game-changer for our small team."

Elena Torres

Operations and Enrollment Manager, WellnessEd Online (Specialized Wellness and Yoga Training Academy)

Simple 3-Step Process

Step 1

Discovery and Data Mapping

We dive into your platform's lead data—enrollment histories, engagement patterns—and map out custom scoring criteria focused on student success predictors like course relevance and prior learning behaviors.

Step 2

Model Building and Training

Our engineers craft a predictive AI model using your specific edtech data, testing it against past enrollments to ensure it scales as your learner base grows without missing high-potential students.

Step 3

Integration and Launch

We deploy the system into your workflow with seamless LMS connections, train your team, and monitor for optimizations—ready to handle enterprise-level traffic from day one.

Why We're Different

We build from scratch with custom code, not patchwork no-code tools, ensuring your lead scoring evolves with your platform's unique student journeys rather than fitting generic molds.

True ownership means no ongoing subscriptions or vendor lock-in; you control the AI asset that scales indefinitely, freeing you from the 'tool chaos' plaguing most edtech ops.

Our models prioritize student outcomes like completion likelihood, not just sales volume, drawing from deep edtech experience to avoid common pitfalls like over-scoring casual visitors.

Enterprise architecture handles growth spikes, like back-to-school rushes, without the crashes you've seen in off-the-shelf solutions.

We integrate two-way APIs for real-time updates, so lead scores reflect live behaviors—unlike brittle connections that break during high-traffic periods.

Focused on SMB edtech, we avoid one-size-fits-all; every system is tailored to challenges like seasonal enrollments or niche course targeting.

Our in-house platforms prove we build scalable AI daily, not just assemble vendor pieces, giving you confidence in handling your platform's expansion.

Emphasis on empathy-driven design: we start with your pain points, like lead fatigue, to create systems that feel intuitive for your admissions team.

No hidden limits—our scoring supports unlimited data points, from demographic fits to micro-interactions, scaling as your courses multiply.

Proven in education: we've optimized for real scenarios, like scoring webinar attendees for certification programs, boosting conversions where others fail.

What's Included

Real-time behavioral scoring based on module interactions and download patterns

Demographic matching to ideal student profiles, like career switchers for vocational courses

Predictive analytics forecasting enrollment probability with 85%+ accuracy

Seamless integration with LMS platforms like Moodle or Canvas

Custom dashboards showing scored leads prioritized by conversion potential

Automated alerts for hot leads ready for personalized outreach

Scalable cloud architecture supporting 10,000+ daily leads without latency

Historical data training for ongoing model refinement

Compliance-ready with GDPR for student privacy in lead handling

A/B testing tools to optimize scoring rules for your specific courses

Exportable reports tying lead scores to actual student outcomes

API endpoints for embedding scoring into your enrollment funnels

Common Questions

How does lead scoring differ for online course platforms versus other industries?

In education, it's all about student intent and outcomes, not just purchases. Our models score based on learning signals like time spent in previews or quiz scores, predicting who'll complete and thrive. We've tailored this for platforms facing seasonal spikes, ensuring scalability without generic sales biases. For instance, a lead browsing advanced coding modules gets higher priority than a general visitor, helping you focus on learners who stick around. This approach has helped edtech clients refine their funnels, reducing drop-offs by emphasizing completion likelihood over quick sign-ups.

What data sources does the custom lead scoring use?

We pull from your platform's native data: user interactions like video watches, forum posts, or free trial enrollments, plus demographics from sign-up forms. No external scraping—everything's owned and secure. For scalability, it integrates with your CRM or email tools to track multi-touch behaviors. Take a prospect who downloads a syllabus and joins a live Q&A; the AI weighs these against historical enrollees to score accurately. This creates a unified view, eliminating silos and letting you scale as course offerings grow.

How long does it take to implement and see results?

From kickoff to launch, it's typically 4-6 weeks, depending on your data complexity. We start with a quick audit, build and test the model, then integrate. Results kick in fast—many clients see 20-30% better lead prioritization within the first month. One platform noticed enrollment lifts during their promo cycle because scores flagged ready students early. It's built to scale immediately, handling your current load and future growth without reconfiguration.

Is this lead scoring system scalable for growing platforms?

Absolutely—it's designed with enterprise architecture from the ground up. No bottlenecks as you add courses or user bases; our backend uses advanced frameworks to process thousands of leads per hour. We've supported edtechs expanding from 1,000 to 10,000 monthly visitors seamlessly. Unlike subscription tools that cap features, this owned system grows with you, incorporating new data points like emerging trends in online learning without extra costs or downtime.

How do you ensure the AI respects student privacy?

Privacy is core, especially in education. We build compliant with regulations like FERPA and GDPR, anonymizing data during scoring and storing only what's needed. No selling or sharing—it's your system. Features include consent-based tracking, so only opted-in behaviors feed the model. For example, scores update based on explicit interactions, not inferred browsing. Clients appreciate this trust-building approach, as it aligns with their student-outcome focus while enabling scalable, ethical lead nurturing.

Can the lead scoring adapt to different course types?

Yes, it's fully customizable for niches like professional certifications or hobbyist workshops. We train on your data to score uniquely—e.g., emphasizing career alignment for job-training leads versus engagement depth for creative courses. This flexibility ensures scalability across your portfolio. One client with mixed K-12 and adult ed saw tailored scores improve cross-segment conversions by 25%. As you evolve offerings, the model retrains automatically, keeping it relevant without manual tweaks.

Ready to Get Started?

Book your free consultation and discover how we can transform your business with AI.

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Lead Scoring & Management