How SalesAI Collects and Analyzes Objections

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SalesAI uses modern technologies to work with data from calls and interactions with clients. The process of collecting and analyzing objections includes several stages:

Speech recognition.
The system analyzes call recordings, highlighting key phrases that may indicate objections.
Classification.
Each objection is classified by type: price, terms, functionality, trust, etc. This helps to understand what topics concern customers the most.
Create a histogram.
Based on the classification, a histogram is built that visualizes the el salvador mobile database frequency of each type of objection. For example, you can see that 35% of customers talk about price, and 25% about the complexity of implementation.
Analysis of processing.
SalesAI records whether the objection was processed by the manager and how successfully. This helps to identify growth points for each employee.
Trend detection.
The system analyzes changes in objection types over time, allowing you to adapt your sales strategy.

Handling objections
How to Use the Objection Types Histogram
The objection types histogram not only shows the frequency of occurrence of each type of objection, but also becomes a tool for decision-making: