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

Result:

65%

Reduced CPQL

40%

Increased Quality Leads

127%

Improved ROI

Problem Statement:

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 Integrations

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:

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. By leveraging AI-driven lead scoring, the system automatically filtered out low-intent leads and prioritized high-potential prospects. This allowed sales teams to focus on qualified users who were more likely to convert, improving overall enrollment rates.

Impact - Enhanced lead qualification accuracy, reducing time spent on unqualified prospects and increasing enrollment rates.

2 . Leads Quality Optimization using Call Based Insights

To improve lead-to-enrollment conversion rates, Maino.ai analyzed call parameters such as duration, engagement level, and inquiry type to refine lead qualification metrics. By feeding these insights back into the system, the AI continuously optimized lead targeting and qualification, ensuring that sales teams engaged only with high-intent users who demonstrated genuine interest in the

Impact - Improved lead-to-enrollment conversion rates, ensuring higher revenue growth from existing lead volumes

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 ad spend on low-quality leads, ensuring that acquisition costs were kept within sustainable limits while maintaining lead quality.

Impact - Reduced Cost Per Quality Lead (CPQL) while ensuring steady lead volume and enrollment growth.

4 . Leveraging Meta Audience APIs to Build High-Intent Interest Cohorts

By integrating Meta's Audience APIs, Maino.ai built hyper-targeted interest-based cohorts, ensuring ads reached users with high educational intent. AI-powered segmentation refined audience groups based on past behavior, engagement trends, and niche interest signals, driving higher-quality reach and maximizing lead generation efficiency.

Impact - Increased qualified lead volume, improving lead quality while lowering acquisition costs.

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