Persana AI Features

Does this product have the amount of contact data you require? Contact data includes a persons company, role, experience, email, telephone, etc.

Does this product have the amount of company data you require? Company data includes data on companies leadership, financials, industry, products, etc.

Does this product offer industry research data that you require?

Does this product offer the technographic data that you require? Technographic data includes identifying a company's technology, hardware, and software used

How accurate and up to date is the contact data?

How accurate and up to date is the company data?

How accurate and up to date is the technographic data?

Ability to create targeted contact lists.

Integrations to popular CRM/Marketing automation software to enable sales/marketing team members to view contact and company data from within the CRM/Marketing automation software.

Ability to clean/enrich existing data that is maintained in other systems

Functionality to filter or segment data from within sales intelligence software

Offers search tools that allow users to find the data they need quickly

Alerts you to changes happening to industries, companies and people you follow

Find the people you know that can introduce you to contacts at prospects

Provides ability to create the reports that meet your business requirements

Provides ability to message contacts directly from within the sales intelligence software

Receive data and information in real time

Data results that indicate future customer interest in products

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

Create and send email blasts/campaigns

Active reporting of data and metrics

Allows orgainizations multi-national organizations to use tool effectively accross multiple languages and currencies

Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond to an action they took.

Access pre-built and custom reports and dashboards.

Enables integration to external systems

Defines specific deal parameters to negotiate and secure deals

Pipeline view and tracking lead status

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

Manage, organize, and store contact information

Create, design and manage workflows for repetitive tasks

Organize customer data and accounts by user or geography

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

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

Automatically contacts all leads.

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.

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.

Product accurately cleans, deduplicates, and verifies lead data.

Product enriches existing lead data with missing information.

Product provides accurate, up-to-date contact information for leads, such as email address or phone number.

Prioritizes leads through lead scoring, market insights, account-level insights, etc.

Product offers a browser extension that validates or enriches lead information within the user’s browser.

Automates process of checking a potential customer's data to ensure it is real and accurate

Sources contact and company data from outside the buyer's own systems, whether from a proprietary database or aggregated third-party providers

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 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.

Works across multiple software systems or databases

Capability to perform complex tasks without constant human input

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

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

Notifications/alerts for upcoming events or tasks

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

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

Synchronize with other calendars to view mutual availability and schedules

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

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

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

At a high level, visualize a preferred outcome, define goals and identify specific steps to achieve them

Alter the layout and content of reports

Interact with data visualization elements, such as charts and graphs, to drill down into data

Record customer information, purchase history, and other notes

Track and document all activities across devices, networks, and other systems

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

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

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

Import and export data to and from software applications

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

Tools designed to streamline the process of lead generation and management for sales teams

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

Collect information from multiple sources

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

Creation and customization of dashboards

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

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

Manage the process of attracting and converting business prospects into leads

Track interaction history by documenting conversations for contacts

Predict future data based on historical data sets

Pre-designed layouts that can be customized to match preferences and requirements

Provides a channel for team members to share media files, communicate, and work together

Caters to sales teams

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

Uses AI reasoning to select, sequence, or modify actions based on changing context and intermediate results.

Executes coordinated actions across email, social, phone, CRM, sales engagement, advertising, and internal collaboration systems.

Initiates or advances workflows when account, buyer, opportunity, or market signals meet configurable criteria.

Defines agent objectives, instructions, decision logic, actions, and completion conditions for GTM workflows.

Coordinates workflows across multiple GTM jobs such as research, qualification, engagement, routing, and pipeline management.

Controls agent behavior using approvals, permissions, audience restrictions, volume limits, and action-level policies.

Records agent decisions and actions while identifying failed, uncertain, or out-of-policy executions for review or escalation.

Connects agent executions to qualification, meetings, opportunities, pipeline progression, expansion, or revenue outcomes.

Reads from and writes to CRM, marketing automation, sales engagement, data warehouses, and other revenue systems.

Exposes platform context, workflows, and actions through APIs, webhooks, MCP, or other supported interoperability methods.

Combines licensed data, web research, first-party behavior, conversation history, and system-of-record data into usable GTM context.

Detects relevant behavioral, relationship, market, product, or firmographic changes and prioritizes entities for action.

Investigates accounts, buyers, opportunities, or segments using operator-defined questions, criteria, and data sources.

Updates stored GTM intelligence using findings and outcomes from completed workflows.

Maintains reusable intelligence about accounts, contacts, buying groups, opportunities, or segments across multiple agent runs.

Uses AI for ranking prospects automatically based on historical data and behavioral patterns

Uses AI to identify buying signals such as website activity, content engagement, job changes, funding news, hiring trends, or technology usage

Uses AI to enhance existing data with information from external sources