Conversica Features

Mapped-out responses for conversations.

Artificial intelligence (AI) and chatbot involvement.

Quality of interface for designing and customizing conversation maps.

Conversations enacted over social media.

Conversations enacted through embedding or pop-ups on websites.

Conversations enacted through text message (SMS).

Conversations enacted through voice assistants.

Conversations enacted through other channels.

Overall quality of customer targeting based on needs or situations.

Creation and modification of customer profiles based on conversations.

Reporting based around specific and overall conversation results.

Capture and organization of leads from conversations.

Success rate of conversations leading to customer purchases.

Offers a chatbot to initiate and carryout inital conversations with prospects and leads.

Automatically calculates which leads are the most likely to become a customer.

Automatically contacts all leads.

Utilizes natural language processing to set up meetings.

Manage sales opportunities through their lifecycle from lead to order. Track stages, values, and probabilities of close. Manage sales pipelines by individual sales rep, team, region, and company-wide.

Automates the entry of collected data.

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc. with other software applications.

Provides real-time coaching to sales representatives.

Tracks and analyzes sales representative performance.

Measure return on investment and leverage data to predict profitability of future projects.

Enables projection of sales revenue, based on historical sales data, analysis of market surveys and trends, and salespersons' estimates.

Provides personalized responses to interlocator based on segmentation or past responses.

Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had.

Can have a natural, human-like conversation with an interlocator.

Allows business to edit conversations to meet the unique needs of one's business.

Gives users the ability to update systems, like CRM, based on conversations.

Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate the process of generating and qualifying sales leads.

Allows users to automate the handling, processing, and management of documents.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to identify and resolve issues without user intervention.

Allows users to automate responses to sales leads across various channels.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows users to automate the handling, processing, and management of documents.

Allows users to automate the process of generating and qualifying sales leads.

Allows users to automate responses to customer inquiries across various channels.

Allows the AI agent to identify and resolve issues without user intervention.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to schedule and automate follow-ups based on prospect engagement.

Provides users the ability to prioritize outreach efforts based on lead scoring or engagement metrics.

Enables the AI agent to automate outreach across multiple channels, such as email, SMS, and social media.

Allows the AI agent to tailor outreach messages based on customer profiles or past interactions.

Allows users to track and analyze the effectiveness of automated outbound campaigns.

Allows the AI agent to enhance inbound lead profiles by gathering additional information from external sources.

Allows the AI agent to route inbound inquiries to the appropriate team or individual based on context.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Enables the AI agent to respond instantly to inbound inquiries, improving response times.

Enables the AI agent to assess inbound leads and determine their sales readiness.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives