1 . Content & Audience Mapping via Relevance Scoring

Maino.ai's Audience AI analyzed user behavior, content preferences, and engagement trends to map the most relevant audience segments for each piece of content. By assigning Relevance Scores, the system ensured that language-specific content was promoted to users most likely to engage and subscribe. This eliminated inefficiencies in content promotion, ensuring personalized recommendations and higher audience retention.

Impact - Increased subscription rates in vernacular markets, improved audience engagement, and optimized content discovery.

2 . Dynamic Budget & Bid Allocation for Maximum Efficiency

Maino.ai's Dynamic Budget & Bid Allocator (DBA) continuously analyzed performance across platforms, adjusting budgets and bids in real-time to capitalize on the best-performing audience-channel-content combinations. By automating budget distribution, the system prevented overspending on underperforming segments and maximized ROI on high-intent audiences.

Impact - Lowered Cost Per Subscription (CPS) by optimizing ad spend, leading to higher subscriber growth with better budget efficiency.

3 . AI-Driven Creative Optimization for Higher Engagement

Maino.ai's Creative Intelligence Engine analyzed ad performance data, leveraging engagement and conversion scoring to identify top-performing creatives. AI-powered recommendations helped optimize messaging, visuals, and formats, ensuring that ads resonated with audiences across different languages and regions. By continuously refining creatives, the brand was able to boost click-through rates (CTRs) and conversion rates.

Impact - Improved creative CTRs, leading to higher engagement, better subscription rates, and stronger ad performance across platforms