B2Metric Features

Uses external data sources to improve customer profiles.

Can be updated to accept new sources and types of data.

Can act as a content marketing platform.

Can engage with customers across any device with a consistent message.

Create and send email blasts/campaigns

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

Receive data and information in real time

Provides analysis of marketing program ROI and efficiency.

Predicts outcomes based on statistical models; can give insight to "what-if" scenarios.

Uses artificial intelligence to provide suggestions based on desired outcomes.

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

Ability to export customer journey maps in a variety of formats to present and analyze.

Allow team members to invite others to collaborate on journey maps and make direct changes.

Provide the ability to compare the experiences of multiple personas in one journey map.

Ability to integrate with cross-channel, real-time data analytics to power customer journey map creation.

Predict future data based on historical data sets

Track and analyse user behavior within a system or network

Track and interpret campaign performance metrics

Track and analyze information regarding website visitors

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

Provides users the ability to dynamically segment their users based on varying criteria (i.e. email opens, product features, etc.).

Automates the testing and optimization of customer-facing messaging and campaigns.

Ability to uncover and visualize how users move through your website, marketing campaigns, and product(s).

Ability to measure product usage by feature, campaign performance by source, and other trending metrics.

Provides dashboards to combine and visualize quantitative and qualitive customer journey data.

Provides advanced data filtering capabilities to help users drill down, sort, filter, aggregate, and group customer journey data.

Ability to create visualizations or maps of past, current, or future customer journeys based on behavioral data.

Integrates with additional marketing analytics and other marketing, sales, and e-commerce-related software to provide one source of truth for customer journey analytics.

Provides the ability to setup automated alerts to drive targeted actions and customer experience improvements.

Supports integration with multiple data sources for seamless data input.

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

Enhances output accuracy and speed through efficient ingestion and processing of training data.

Generates actionable insights by applying learned patterns to key issues.

Continuously improves and adapts to new data using specified algorithms.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Analyzing historical and current data and generating a model to help predict future outcomes.

Configure existing workflows to meet your organization's needs

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Import and export data to and from software applications

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

Predict future data based on historical data sets

Graphical representation of data

Track status, assign actions, and control access to systems for devices within the organization

Allows users to manage data from a number of sources

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.

Examine established processes and records to ensure accuracy, compliance, and policy adherence

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

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Share, track, and store machine learning models and data.

Ability to handle large datasets

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

Import, collect, and capture data from multiple sources

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

Connect to big data sources

Protect sensitive data for digital privacy

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

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

Create, design and manage workflows for repetitive tasks

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

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

Manage, organize, and store contact information

Visualize and analyze customer experience across all touchpoints and channels

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

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

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

Manage the process of attracting and converting business prospects into leads

Combining data from different sources and providing a unified view

A report showing what actions customers perform

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

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

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

Automatically identify and save contact information of potential customers

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

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

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

Analyze and gain insights into data in real-time

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

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

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

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

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

Predict future data based on historical data sets

Gauge satisfaction and receive information for improvement and success

Adjust communications based on previous interactions or personal preferences

Plan and strategize marketing campaigns

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

Track and analyse user behavior within a system or network

Track delivered, received, and opened emails

Track and interpret campaign performance metrics

Process of dividing customers into groups based on common characteristics

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

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

Manage various distribution channels, build relations with channel partners, and track their performance

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

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

Ensure compliance with the General Data Protection Regulation protocols

Record customer information, purchase history, and other notes

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

Allows users to manage data from a number of sources

Predefined actions automatically performed on the occurance of specific events

Attach digital tags to documents and assets for identification, search, or monitoring purposes

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

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

Create custom maps

Create and send email blasts/campaigns

Allow users to access multiple services after entering their login credentials once

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

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

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

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

Collating information from different sources in order to create a more valuable and helpful data set.

Allows multiple users to simultaneously annotate on a digital whiteboard

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

Graphical representation of data

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

Group collaboration to solve ideas in a productive and concentrated manner.

Measure return on ad spend by tracking the actions people take such as sign up or download after engaging with ads

Create, design and manage workflows for repetitive tasks

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

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

Adjust communications based on previous interactions or personal preferences

Alter the layout and content of reports

Visualize and analyze customer experience across all touchpoints and channels

Record customer information, purchase history, and other notes

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

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

Attach digital tags to documents and assets for identification, search, or monitoring purposes

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

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

Gauge satisfaction and receive information for improvement and success

Import and export data to and from software applications

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

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

Analyzes the amount of credit that should be assigned to sales and conversion touchpoints.

Detailed plan including steps, milestones, assignments, and timeline needed to complete a project, strategy or goal

Share maps with internal and external stakeholders

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

Add customized logos and colors to align with company branding

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

Identify specific interactions between customers and brands

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

Enables schematic data presentation through org charts, mind maps, flowcharts, and process diagrams.

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

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

Dictate the order and pace of an eLearning course, including the logic for how different learners progress

Process of dividing customers into groups based on common characteristics