Muraena 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

Provides aggregated intent data for individual contacts to supply an account-level view of intent

Receive data and information in real time

Data results that indicate future customer interest in products

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.

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.

Allows software to be easily used on multiple mobile devices include phone and tablet devices.

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

Provides users with search tools in order to find the data they need quickly

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

Allows software to be easily used on multiple mobile devices, including phone and tablet devices

Provides features for email and messaging alerts surrounding contact and company updates

Allows multiple users to access and collaborate on the platform

Provides features for users to follow domestic and international privacy and data colelction compliance laws

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

Provides natural language processing (NLP) to identify topics within content (i.e. number of people researching a topic from a business)

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

Provides NLP features for filtering data collection down to specific data points

Provides a wide selection of data sources for aggregated news and MARKET data

Allows users to make custom data collection queries

Provides features for users to verify, correct, and include additional information to a lead in order to enhance data accuracy

Provides advanced data points including but not limited to company size, org charts, technology installs, company funding history,

Provides features for tracking competitors websites including information such as pricing changes or new product features

Provides features for tracking competitor activity on social media

Allows users to benchmark their product against other competitors in order to understand competitive position in the market

Allows users to know how much financing has flowed to a particular industry with real deal activity visualizations

Allows users to create custom market intellignece dashboards

Allows users to build and export reports for market data

Allows users to inegrate dashboards with analytics platforms, CRMs and marketing automation software

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

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

Predefined actions automatically performed on the occurance of specific events

Manage the process of attracting and converting business prospects into leads

Real-time alerts or notifications that inform teams about new leads or prospects

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

Automatically identify and save contact information of potential customers

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

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

Visualize and analyze customer experience across all touchpoints and channels

Active reporting of data and metrics

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

A set of rules that assigns credit for sales and revenue to touchpoints across the customer journey

Process of dividing customers into groups based on common characteristics

Supports common databases such as MySQL and Oracle

Arrange tasks based on the level of priority or urgency

Track the progress of long term goals, campaigns, and opportunities, for sales, projects, business ventures etc.

Alter the layout and content of reports

Improving user journey to boost the percentage of visitors who take a desired action (sign-ups or purchases)

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

Search and filter data across systems to locate required information by entering keywords or certain criteria

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

Review data from past periods to reveal recurring tendencies and predict future performance

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

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Publish and distribute content to targeted audiences

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

Manage the process of attracting and converting business prospects into leads

Receive system updates as soon as any changes are made

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

Collect and analyze traffic data about website visitors

Import and export data to and from software applications

A report showing what actions customers perform

Track visitors'/audience's responses across web pages and other optimized content

Evaluating strengths and weaknesses of companies with the same target audience

Predict future data based on historical data sets

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

Managing activities & processes related to planning, coordination, implementation, control, and evaluation of sales performance.

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

A system that allows access to a database structure without relying on an external program

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

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

Manage, organize, and store contact information

Analyze and gain insights into data in real-time

Graphical representation of data

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

Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.

Visual representation of sales prospects & how many deals are in your sales funnel, the stage each deal is in, and the value of deals.

Record customer information, purchase history, and other notes

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

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