Online Reputation Management Tool

Social Inbox’s sentiment analysis engine processes customer interactions across social media, reviews, and messaging platforms to classify feedback as positive, neutral, or negative. By leveraging natural language processing (NLP), it detects subtle emotional cues (e.g., frustration in negative reviews or enthusiasm in testimonials) and automatically prioritizes high-impact tickets. The system assigns sentiment scores to each interaction, enabling teams to address critical issues first. For example, a negative Yelp review mentioning "poor service" triggers an urgent ticket, while a 5-star Google review is flagged for potential marketing use

Negative sentiments automatically generate actionable tickets in CRM or helpdesk systems like Zendesk or HubSpot. Each ticket includes context-rich details such as sentiment score, customer history, and platform source. For instance, a frustrated Facebook comment about delivery delays creates a ticket labeled "High Priority," routed to the logistics team with suggested response templates. Positive feedback is tagged for marketing teams to seek testimonials or repurpose content. The system reduces resolution time by 40% by eliminating manual triage

ack mentions, reviews, and messages across 15+ platforms (Facebook, Google My Business, Instagram, LinkedIn) from a single interface. Social Inbox’s geofencing feature filters location-specific feedback, ideal for multi-location businesses. For example, a restaurant chain can monitor reviews for each branch and compare sentiment trends regionally. The tool also detects emerging crises, like a viral TikTok complaint, and alerts teams via Slack or email

Generate context-aware replies using customizable AI templates that align with your brand voice. For negative feedback, the system suggests empathetic resolutions (e.g., "We apologize for the inconvenience-let’s make this right"). Positive reviews receive gratitude-focused responses encouraging repeat visits. Users can edit templates or let the AI auto-respond during off-hours, ensuring 24/7 engagement. A/B testing shows AI responses improve customer satisfaction scores by 28%