ChatGPT has over 300 million weekly users sending more than 1 billion messages per day and Internet search traffic is predicted to drop 25% by 2026. Why? Conversational AI has rapidly become the interface of choice for the modern user.
While we are talking about the move from traditional search to Conversational AI above, a new shift is rapidly approaching for customer-facing analytics. This is the change from static, pre-canned dashboarding and reporting to dynamic, intelligent Conversational AI.
B2B SaaS customer-facing analytics must transform to meet the emerging habits and behaviours of their users. Candidly this new behaviour is the desire to reach for a Conversational AI interface above any other.
Here are 3 ways Conversational AI is transforming customer-facing analytics.
Users don’t log into your app to fiddle with filters—they’re there for answers, fast. The old approach of manually setting filters, date ranges, and aggregations is clunky and dead ends on follow-up questions.
Conversational AI lets users ask in plain language. It instantly figures out what data’s needed, delivers a formatted response, and is ready for the next question—using previous answers as context when necessary.
The result? Up to a 10x speed boost, giving users the answers they came for without delay.
Static customer-facing analytics are inherently inflexible. That’s why embedded analytics emerged. Self-serve dashboards let users get answers without needing to submit a data request to your product team. However, even these require users to pre-build the dashboard or reports in-app, which still limits flexibility.
Conversational AI changes the game. By connecting directly to your database, it can extract any data permutation on demand. Modern LLMs can power AI agents that convert natural language questions into precise data queries and deliver responses in a meaningful format.
In short, Conversational AI offers a level of flexibility that static dashboards and even self-serve embedded analytics tools simply can’t match.
Conversational AI turns every user query into a valuable data point. Seeing what users ask, you gain direct insights into their priorities, pain points, and thought processes.
This natural language feedback isn’t just numbers; it reveals users true intentions. In other words, analyzing these questions allows you to fine-tune your product, address gaps, and develop a more user-centric experience.
See how Conversational AI can revolutionize your customer facing analytics by requesting a demo here.
