AI-Powered Performance Optimization for Multi-Channel E-Commerce Growth
Result:
19%
Increased Transaction Volume
7%
Increase in spends
37%
CPQL dropped by
Problem Statement:
Tracking Transactions Across Sales Models
Operating across online and offline channels creates tracking and attribution challenges. Without a unified view, budget allocation is inefficient, and scaling transactions across both models becomes difficult.
Optimizing Media Mix for Higher Conversions
With multiple marketing channels, the brand struggles to identify the most effective media mix to drive transactions. Poor cross-channel coordination leads to missed revenue opportunities and an inconsistent customer experience.
Reduced CPL and CPQL
Rising acquisition costs make it harder to keep CPL and CPQL low while ensuring lead quality. Inefficient targeting results in wasted ad spend on low-intent users, increasing costs and reducing ROI.
Centralized Data Measurement for Smarter Marketing
Data is scattered across platforms, making it difficult to measure performance accurately. Without a centralized data framework, reporting inconsistencies lead to ineffective optimizations and inefficient budget allocation.
Maino’s Approach:
1 . Unified Data Integration for Smarter Decision-Making
Maino.ai consolidated data from CRM systems, marketing platforms, and analytics tools to create a centralized, real-time view of transactions and leads across both online and offline sales channels. This eliminated data silos and provided a holistic performance tracking system.
Impact - Improved marketing efficiency and better transaction tracking across online and offline channels.
2 . AI-Powered Audience Creation for Higher Conversions
To ensure marketing efforts reached the right users, Maino.ai leveraged offline power-user data to create highly targeted performance channel cohorts. By analyzing past high-value customers, the AI identified shared characteristics and behavioral patterns to build refined audience segments.
Impact - Increased lead quality and higher conversion rates with optimized targeting.
3 . Persona and Interest-Based Insights for Precision Targeting
Understanding audience behavior was critical to optimizing ad performance. Maino.ai conducted a deep analysis of online and offline user personas to identify interest clusters on Meta and other advertising platforms.
Impact - Higher ad relevance, stronger engagement, and improved conversion rates across platforms.
4 . Predictive Analytics for Lead Optimization & Cost Efficiency
Using AI-driven correlation analysis of CRM data, Maino.ai identified lead attributes that had the highest likelihood of conversion. These insights were fed back into marketing platforms, enabling real-time bid adjustments, audience refinements, and budget reallocations.
Impact - 37% reduction in CPQL, ensuring higher-quality leads at lower cost.
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