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EdTech learner reviewing course content on a laptop

  • 65%

    Reduced CPQL

  • 40%

    Increased Quality Leads

  • 127%

    Improved ROI

AI-Powered Performance Marketing for Lead Quality & Revenue Growth in EdTech

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ProblemStatement

  • Generating High Quality Leads

    Ineffective targeting led to low-intent inquiries, making it hard for sales teams to focus on high-potential prospects. The brand needed a data-driven approach to identify and engage users most likely to convert.

  • Optimizing Cost Per Lead

    Rising competition increased acquisition costs, requiring a real-time bid and budget allocation strategy to ensure ad spend focused on high-converting users while keeping CPL under control.

  • Data-Driven Insights & Seamless CRM Integration

    Fragmented data made tracking lead intent and engagement difficult. A robust CRM integration was needed to accurately capture, score, and pass high-quality leads to sales for better follow-ups and conversions.

  • Driving Growth by Targeting Qualified Leads

    Many leads dropped off before enrollment due to weak nurturing strategies. The brand needed a structured lead qualification and engagement framework to increase conversions and drive sustainable revenue growth.

Maino’s Approach

Sales team reviewing lead-quality dashboard

  1. 1.CRM Integration for Data-Driven Lead Qualification

    Maino.ai integrated with the brand's CRM and backend systems to capture real-time engagement signals, historical data, and behavioral insights. AI-driven lead scoring automatically filtered out low-intent leads and prioritized high-potential prospects, allowing sales teams to focus on qualified users who were more likely to convert.

    Impact

    Enhanced lead qualification accuracy and higher enrollment rates.

  2. 2.Lead Quality Optimization Using Call-Based Insights

    To improve lead-to-enrollment conversion, Maino.ai analyzed call parameters such as duration, engagement level, and inquiry type to refine lead qualification metrics. These insights continuously optimized targeting so sales engaged only with high-intent users showing genuine interest.

    Impact

    Improved lead-to-enrollment conversion rates and higher revenue per lead.

  3. 3.Automated Dynamic Budget Allocation for Cost Efficiency

    Maino.ai's Dynamic Budget & Bid Allocator (DBA) optimized ad spend in real-time, reallocating budgets toward high-performing audience segments based on CRM data. This eliminated wasted spend on low-quality leads while keeping acquisition costs sustainable.

    Impact

    Reduced Cost Per Quality Lead (CPQL) while sustaining lead volume.

  4. 4.High-Intent Cohorts via Meta Audience APIs

    By integrating Meta's Audience APIs, Maino.ai built hyper-targeted interest-based cohorts so ads reached users with high educational intent. AI-powered segmentation refined audience groups based on past behavior, engagement trends, and niche interest signals.

    Impact

    Increased qualified lead volume while lowering acquisition costs.

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