Lead generation automation
Our AI-powered lead-scoring models analyze user behavior and the buying history of high-potential accounts. It also fetches firmographic information, engagement levels and intent signals.
Accelerate Lead Nurturing with Smarter Customer Engagement Solutions
Our AI/ML models can segment your audience, draft human-like
messages for them and even schedule communication through
bulk email features and social media engagement.
The Differentiators of Mearas' AI/ML Messaging Models
Scalable Personalization & Data Analysis
Leverages AI to analyze large amounts of customer-driven data to create personalized messages that resonate with the target persona’s buying behavior. Creates impactful messages backed by audience intelligence and performance data.
Behavioral Segmentation for Micro-targeting
Our advanced AI/ML models have account-specific data extraction features to implement detailed business account segmentation. The algorithms track the latest news, preferences, past interactions etc.
Automated Messaging Framework
Industry-relevant content at scale on different social platforms plays an integral part of Mearas’ AI/ML-powered content creation. It reduces dependability on manual content development and ensures optimized delivery for personalized customer engagement.
Action-Based Triggered Messaging
Our AI/ML systems automate messaging triggers to drive specific customer actions during page visits. Actions like demo and call request leverage timely targeting with enhanced engagement levels in your account-based outreach.
Go beyond generic messaging with articulated and customized responses for each lead
Articulated response with AI
Captures relevant use cases, case studies for crafting personalized email responses and chat responses. The Natural Language Processing (NLP) feature generates context-aware content with dynamic templates.
Automated response-based workflows
Automated workflows predict actions and trigger personalized push notifications, follow-up emails, virtual assistants (chatbots) for prompt query resolutions and effective nurturing.
Analytics and Feedback loop
Tracks and analyzes engagement metrics like click rates, open rates, subscriptions, demo request and several intent-based parameters and leverages ML to improve response accuracy.