Conversica Features

Mapped-out responses for conversations.

Artificial intelligence (AI) and chatbot involvement.

Quality of interface for designing and customizing conversation maps.

Use AI to generate content in the form of text, images, videos, etc.

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

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.

Coordinate marketing efforts across channels (email, landing pages, social media, etc.)

Identify a particular segment of population based on specific criteria and customize your efforts to attract their attention

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.

View and track pertinent metrics to find patterns and gain insights from data

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.

Manages sales opportunities through their full lifecycle from lead to order, tracking stages, values, and close probabilities across pipelines by individual 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.

Set up connections to third-party platforms to improve business processes

Manage the process of planning and scheduling meetings, including agenda creation

Track and manage schedules and meetings via an integrated calendar

Store, manage, and track all electronic documents in a centralized location

Manage, organize, and store contact information

Create, manage and track all task activities and progression

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Handles digital content throughout its lifecycle, from creation and storage to distribution and archiving

Allow users to create, edit, and sort multiple notes

Define, track, and/or automate sales activities and sales processes

Manage, store and organize emails within the system or via third-party apps

Provides real-time coaching to sales representatives.

Tracks and analyzes sales representative performance.

Track delivered, received, and opened emails

Process to identify source of incoming calls, date, time, duration or caller type using a unique phone number

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.

Manage and support multiple languages

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.

Editing tool that allows users to drag and drop images, icons, widgets, or other components

Agents pause for human input at key steps and hand off tasks when beyond their confidence or authority.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

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.

Process and analyze human language in text or audio form

Generative AI can generate synthetic data and simulate scenarios for training and testing purposes.

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

Software program that continuously adjusts its behavior based on observed data

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

Set up connections to third-party platforms to improve business processes

Manage and support multiple languages

Train your system to interpret and transcribe voice messages

Initiate interactions with customers by proactively starting conversations or providing informational content

Assembly of graphs and charts for visualizing and tracking statistics/metrics

Communicate using direct chat or messages within the system

Generates and edits text using machine learning

Caters to sales teams

Automate processes to manage leads, contacts, opportunities and sales activities

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Predict future data based on historical data sets

Score a lead based on quality or likelihood to buy/convert based on predetermined criteria

Sample files or documents that could be customized as needed or used as is

Timed notification for any upcoming task, deadline, appointment, or activity

Pre-made examples and templates for emails

Send messages via SMS

Adjust communications based on previous interactions or personal preferences

View and track pertinent metrics to find patterns and gain insights from data

Recording, transcription, and analysis of sales calls for the purpose of training and generating insights

Communicate with potential customers by distributing promotional/informational materials via social media, email or other channels

A collection of customer information such as contact details, demographics, previous interactions, etc.

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Using different methods or channels to connect with customers

Streamlining repetitive tasks and activities through automated and predefined workflows

Customize data fields to support various needs and use cases

Application programming interface that allows for integration with other systems/databases

Notifications that are delivered to users as soon as an event occurs

Engage with a lead throughout the sales process by actively providing information

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Product suggestions provided to users based on past behavior and relevant data, such as browsing and purchasing history

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

Send messages via SMS

Manage various aspects of appointments including booking, rescheduling, canceling

Communicate using direct chat or messages within the system

Active monitoring of systems, applications, or networks

Route and distribute your leads to third party buyers

Group campaigns by project, client, or campaign for better management.

Import and export data to and from software applications

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Receive data and information in real time

Send and receive messages in real-time via an online communication channel

Add customized logos and colors to align with company branding

Score a lead on their quality or likelihood to buy based on certain behaviors

Create, save, and re-purpose templates for emails, forms, etc.

Create and automatically send premade copy in response to customer messages

Centralized database of stakeholders and their contact information such as names, address, phone number etc.

Process of dividing customers into groups based on common characteristics

Send personal messages to clients or attendees

Manage and track all internal and external communication conducted via calls, email, text, or chat

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Automatically identify and save contact information of potential customers

Schedule appointments via a calendar

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Predefined actions automatically performed on the occurance of specific events

AI-based platform which conducts a conversation via auditory or textual methods

Group messaging lets multiple people carry on a group conversation

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

A collection of customer information such as contact details, demographics, previous interactions, etc.

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Gauge satisfaction and receive information for improvement and success

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Tracks metrics that provide insight into how a user interacts with any interface or product

Multiple agents work together, share tasks, and coordinate to achieve common goals.

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Process of carefully designing and constructing prompts or input instructions to achieve desired behaviors or outputs from AI models

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Build applications without the use of code

Track revisions and updates made to files and navigate between different versions

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Model the varying behavior of a system over time through diagrams

Application programming interface that allows for integration with other systems/databases

Store and save retrievable data

Observe and track the demand, usage, progress or quality of a system, product, or user

Manage a growing amount of work to meet increased demand without compromising performance

Manage budgets, track and optimize spending and align capacity to workload demand

Plan availability and assign specific time slots for tasks and resources

Interact with agents using conversational language

Define levels of authorization for access to specific files or systems

Ability to interact with various large language models, such as GPT-4, Claude 3, Gemini, Llama 3, and more

Identify which applications need to exchange data and enable these data connections

Flexible architecture allowing tailored configurations

Pre-defined templates within a library for common cases such as contracts, websites, emails, and more

Tools for the systematic analysis of various types of data or statistics

Helps understand a user's intentions/actions

Interprets what a user is doing based on context and helps guide them through the process.

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

Bots that work alongside humans on tasks that cannot be fully automated

Assemble applications and processes by dragging over and arranging pre-built components

Used as a promotional or demonstration tool in sales and marketing presentations

Use AI to generate content in the form of text, images, videos, etc.

Helps automate and manage information, tasks, and procedures by establishing routines and patterns associated with processes

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Set up connections to third-party platforms to improve business processes

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data.

Assemble applications and bots from pre-made building blocks without having to write software code or knowing a programming language

Track and manage adherence to policies for any service, product, process, or supplier

Automatic reply functionality for incoming messages

Gather, organize, share, and analyze knowledge in terms of resources, documents, and people skills

Transfer queries and organize messages between agents

Adjust communications based on previous interactions or personal preferences

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

Program systems that assist users with their daily administrative responsibilities

AI-based platform which conducts a conversation via auditory or textual methods

Train your system to interpret and transcribe voice messages

View and track pertinent metrics to find patterns and gain insights from data

Create, manage and track all task activities and progression

Initiate interactions with customers by proactively starting conversations or providing informational content

Software program that continuously adjusts its behavior based on observed data

Configure existing workflows to meet your organization's needs

Automate processes from start to finish without human assistance

Recording, transcription, and analysis of sales calls for the purpose of training and generating insights

Streamlining repetitive tasks and activities through automated and predefined workflows

Managing and resolving errors that occur during program execution to maintain stability

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Store, manage, and track all electronic documents in a centralized location

View and track pertinent metrics to find patterns and gain insights from data

Maintain security, compliance, and data privacy protocols for all interactions

Agents pause for human input at key steps and hand off tasks when beyond their confidence or authority.

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

Utilize NLP or speech recognition to understand conversational requests and provide accurate, context-aware responses

Ability to learn and adapt from interactions with environment and data, and to model varying behavior over time.

Integration with third-party CRM systems

Allow users to design the agent's trusted role, tone, and capabilities to suit specific sales workflows

Support outbound and inbound sales processes autonomously while ensuring high-quality lead engagement

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

Manage the process of attracting and converting business prospects into leads

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

Allows for businesses to run a variety of different campaigns across different channels

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

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

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

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

Automatically handle routine, repetitive tasks and processes without the need for manual intervention

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

Send and receive messages in real-time via an online communication channel

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

Combines data from internal sources with disparate data from other internal systems or external sources

Score a lead on their quality or likelihood to buy based on certain behaviors

Automate processes to manage leads, contacts, opportunities and sales activities