Facebook Review Management

SocialInbox tracks Facebook reviews, comments, and mentions 24/7, ensuring no customer feedback goes unnoticed. The AI prioritizes tickets based on sentiment severity, allowing teams to address urgent issues first. For example, a negative review triggers an instant alert, while positive feedback is flagged for potential marketing use.

The platform uses NLP models trained on 10M+ social interactions to classify sentiments (positive/negative/neutral) with 92% accuracy. For instance, phrases like “terrible service” trigger negative flags, while “excellent support” boost positivity scores.Dynamic sentiment timelines visualize trends, helping brands identify campaign impacts or PR crises. A hotel chain used this to resolve a hygiene complaint trend within 48 hours

SocialInbox generates context-aware replies using GPT-4, maintaining brand voice consistency. For negative reviews, it suggests empathetic templates like, “We apologize for the inconvenience. Let’s resolve this-please DM us details.”Businesses can customize responses or enable full automation. A dental clinic saw a 40% increase in review ratings by using AI-crafted replies

Every Facebook interaction becomes a ticket with metadata: sentiment score, customer history, and priority level. Tickets auto-assign to agents based on expertise-e.g., billing issues go to finance teams.A franchise restaurant group reduced resolution time from 12 hours to 45 minutes using this feature