Use Conversational Analytics to forecast audience growth, predict churn, and elicit meaningful brand conversations
Consumers seek convenient personalization during brand interaction. Brands who approach this need with a built-for-all strategy will struggle to establish growing revenue and loyalty. While the ones who meet consumers with relevant engagement will see immense growth in the age of “1:1”. To establish yourself as an engagement leader, rely on the power of Conversational Analytics to deliver you the insights needed to scale meaningful brand conversations and capture elusive ROI—while helping you forecast audience growth, and predict customer churn.
Welcome a new type of mobile consumer insights
Conversational Analytics uses sentiment analysis to identify whether single brand interactions were positive, negative or neutral. Now you can build loyalty by rewarding customers who engage positively with your brand or create automated responses to send help to customers experiencing a negative brand interaction.
Conversational Analytics picks up on certain entities in text like quantities relating to price, identifying the difference in products, or feedback regarding your organization. Use these to understand patterns in audience response and reward them with content or offers that drives purchasing.
69% of consumers said that SMS is a convenient way for companies to provide updates. Using transactional messaging, customers may respond to your updates with, “Show me more,” “I need help,” or “When does this offer expire?” With Conversational Analytics, you can locate key phrases in your audiences’ text, identify their specific need, and send information that helps them reach their goals.