Product inquiry made identifies interactions where customers asked for product information, specifications, features, availability, options, or comparisons. This captures various inquiry types: “tell me about your premium service,” “do you have this model in stock,” “what’s the difference between these two plans,” or general requests for product details.
The signal distinguishes product information requests from support issues or account questions. A customer asking “what features are included in the enterprise package” is making a product inquiry. A customer asking “why isn’t my service working” is not, even though the resolution may involve product information.
Product inquiries span the entire customer lifecycle. New prospects research options before purchasing. Existing customers explore additional services or upgrades. Even long-term customers may inquire about products they haven’t previously considered or new offerings that have been introduced.
Product inquiries represent active customer interest and potential sales opportunities. Unlike marketing campaigns that interrupt customers, these inquiries come from customers who are already engaged and seeking information. How well these inquiries are handled directly impacts conversion rates and customer satisfaction.
Sales teams need visibility into product inquiry patterns to understand market demand and identify training gaps. If customers frequently ask questions that agents cannot answer effectively, this represents lost sales opportunities and poor customer experience. Inquiry patterns also reveal which products generate the most customer interest and confusion.
Product management teams use inquiry data to understand customer information needs and identify areas where product positioning or marketing materials may need improvement. Repeated questions about the same features or comparisons suggest that current product information is inadequate or unclear.
Compass identifies customer questions and requests focused on product details, features, specifications, availability, or comparisons. The signal captures various inquiry formats while distinguishing information-seeking behavior from problem-reporting or account-management requests.
The detection focuses on customer-initiated information requests rather than agent-provided product explanations. A customer asking about product features triggers the signal, while an agent explaining features to resolve a support issue typically would not.
Sales teams analyze product inquiry patterns to identify high-interest products and common customer questions. This helps them prepare agents with better product knowledge and develop more effective sales approaches for frequently requested information.
Customer service teams use product inquiry data to determine which agents need additional product training. Agents who struggle to answer common product questions effectively may be missing sales opportunities and creating customer frustration.
Marketing teams track inquiry trends to identify products that generate high interest but low conversion, suggesting messaging or positioning problems. They can also identify successful products that may benefit from increased promotion based on organic customer interest levels.
This signal is part of Chordia’s Signal Intelligence capabilities.
We'll walk you through real interactions and show how each signal traces back to specific conversational evidence — so your team can act on what actually happened.
