Keen.io Features

View analytics for multiple products in a single dashboard, including cross-product engagement

Ability to see analytics at the user level.

Ability to see analytics at the account level.

Ability to compare usage across segments such as role, company size, etc.

See how users move though a product via grouped page sequences

Plan marketing campaigns for events

Market event via social media tools

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

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

Import and export data to and from software applications

Manage the process of attracting and converting business prospects into leads

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

Customize contracts and forms to collect specific information

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

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

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

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

Pre-made examples and templates for emails

Web form that allows users to enter data that is sent and processed for different reasons

Automatically identify and save contact information of potential customers

Add customized logos and colors to align with company branding

Active reporting of data and metrics

Plan and strategize marketing campaigns

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

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

Process of dividing customers into groups based on common characteristics

Set campaign schedules by selecting start, pause, and end dates

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

Create and automatically send premade copy in response to customer messages

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

Predefined actions automatically performed on the occurance of specific events

Create and send email blasts/campaigns

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

Customize data fields to support various needs and use cases

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

Graphical representation of data

Generate one-off reports that meet information requirements

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

Connect to big data sources

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

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

Visualize and analyze customer experience across all touchpoints and channels

Tracking the status of previously identified performance measurements

Analytics that breaks the data in a data set into related groups/categories.

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

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

Allows users to manage data from a number of sources

Move from one database to another, or upgrade the version of database software being used

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

Define levels of authorization for access to specific files or systems

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

Establish guidelines about how much and what kind of data can be stored in the repository

Examines, analyzes, and organizes data to create relevant summaries or graphs.

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

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

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

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

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

Connect to big data sources

A record of all activities within the system, including user access, changes made, etc.

Process of checking different types of data for accuracy to avoid errors or inconsistencies

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

Data compression technique for eliminating duplicate copies of repeating data

Graphical representation of data or processes

Import, collect, and capture data from multiple sources

Import and export data to and from software applications

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

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

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

Graphical representation of data

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

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

Tracking the status of previously identified performance measurements

Securely stores data to prevent data loss or breaches

Allows users to manage data from a number of sources

Graphical representation of data

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

Ability to interact with the application using human languages such as English

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

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

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

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

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

An extended application or connector that enables users to perform additional services with their current set of tools

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

Generate one-off reports that meet information requirements

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

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

Add customized logos and colors to align with company branding

Collect, process and structure data from multiple sources for further analysis

Creation and customization of dashboards

Connect to big data sources

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

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

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

Form predictions based on past and present data/trends

Various components within a system including buttons, clickable icons, hover effects, and more

Display aggregated data points on one page for a bird's eye view assessment

Import and export data to and from software applications

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

Define levels of authorization for access to specific files or systems

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

Create, design and manage workflows for repetitive tasks

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

Perform various mathematical calculations using the data

Information, data and reports that are being tracked over time

Import, collect, and capture data from multiple sources

Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries.

Receive system updates as soon as any changes are made

Active reporting of data and metrics

Track the management and flow of data throughout the organization

Relationship diagram view that arranges items in data based on the relationships between them in a freeform graph.

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

Online Analytical Processing technology for performing high-speed complex queries or multidimensional analysis on large volumes of data

One-off queries made on an as-needed basis

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

Track and report regulatory data to either internal management or external stakeholders

Active reporting of data and metrics

Assess the performance of a method by picking a random sample from a normal distribution

Form predictions based on past and present data/trends

A classification and/or predictive modeling technique used for data analysis

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

Define levels of authorization for access to specific files or systems

Connect to big data sources

Alter the layout and content of reports

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

Access, combine, transform, and store data without the help of an IT department

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

Translate EDI formats into data suitable for use with company applications.

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

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

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

Predict future data based on historical data sets

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

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

Machine learning method, based on rules, to find interesting relationships between variables in large databases

Generate one-off reports that meet information requirements

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

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

Create labels for products that contain required information such as colors, sizes, dates, etc.

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

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

Clustering or grouping objects based on data similarities

Import and export data to and from software applications

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Store and access documents, forms, and photos in one centralized place

Support tool that enables users to progress through a series of steps to solve a problem

Create multiple models or equations for generating scores

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

Method of analysis that visualizes the series of events that lead towards a defined goal.

Capture, organize and track product-specific data and information in a centralized location

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

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

Analytics that breaks the data in a data set into related groups/categories.

Record active support and chat sessions for auditing and training

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

Graphical representation of data

Visualize and analyze customer experience across all touchpoints and channels

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

Edit and personalize data view as needed

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

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

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

Define levels of authorization for access to specific files or systems

Access reports on mobile devices

Track the management and flow of data throughout the organization

Allows users to manage data from a number of sources

Form predictions based on past and present data/trends

Add customized logos and colors to align with company branding

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.

Create labels for products that contain required information such as colors, sizes, dates, etc.

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

Analyze and gain insights into data in real-time

Create, design and manage workflows for repetitive tasks

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

One-off queries made on an as-needed basis

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

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Build unique software tools based on your specific requirements

Active reporting of data and metrics

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

Visualize locations on a map

An extended application or connector that enables users to perform additional services with their current set of tools

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

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

Generate reports on your own without IT involvement

Import, collect, and capture data from multiple sources

Embed/link applications into third party software so it can be accessed within a third party system

Generate one-off reports that meet information requirements

Create, design, and visually represent processes within the software

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

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

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

Predict future data based on historical data sets

Graphical representation of data

Connect to big data sources

Compare key metrics for the business against prominent players in the industry

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

Monitor and visualize trends across live data streams

Access software remotely via mobile devices

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

Creation and customization of dashboards

Converts data formats of source data into the format required for the reporting system without mistakes.

Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

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.

Receive data and information in real time

Receive data and information in real time

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

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

Scores customers and visitors to identify at-risk or thriving accounts.

View analytics for multiple products in a single dashboard, including cross-product engagement

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Allows one to create and export visualization into various formats (PNG, JPEG, etc.)

View and present dashboard on mobile devices

Publish dashboard publicly on various platforms

Share dashboard screen within private user groups

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

Enable businesses to implement machine learning algorithms on business data such as sales and revenue

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 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.

Ability to track historical data.

Track metrics in real time with consistent and frequent updates.

Ability to track historical data.

Track metrics in real time with consistent and frequent updates.

Set a time to generate routine reports automatically

Alter the layout and content of reports

Predict future data based on historical data sets

Ability to handle large datasets

Receive data and information in real time

Ability to see analytics at the account level.

Ability to see analytics at the user level.

Ability to compare usage across segments such as role, company size, etc.

See how users move though a product via grouped page sequences

Receive automated alerts and reports based on gains or losses in performance.

View analytics for multiple products in a single dashboard, including cross-product engagement

Scores customers and visitors to identify at-risk or thriving accounts.

Breadth and functionality of integrations with third-party products.

Track and interpret metrics on the usage of company resources

Encompasses of policies, principles and qualities to promote access to accurate and certified master data.

Helps mask or hide critical information to prevent unauthorized access.

Using formulas based on existing data elements, users can create and calculate new field values.

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights.

Ability to interact with the application using human languages such as English

Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries.

Merge data from multiple sources to a single data set

Merge data from multiple sources to a single data set

Data quality consists of deduplication, cleansing, and appending your marketing database.

Allows users to select samples of data for defined procedures.

Share data across your organization.

Allows users to manage data from a number of sources

Receive data and information in real time

Statistical methods to assist with and maintain quality control of processes

Centralizes the management of multiple domains of master data which includes product, customer, vendor, asset, location and pricing.

Matches master data records and merges them into a single accurate record across source systems.

Shows relationships between records and entries, defined in a repository model.

Provides a simple customizable design environment to develop custom UIs using simple drag and drop actions.

Track the management and flow of data throughout the organization

Works across multiple software systems or databases

Receive automated alerts and reports based on gains or losses in performance.

Breadth and functionality of integrations with third-party products.

Reports interface for standard and self-service reports is intuitive and easy to use.

Requires a minimal number of steps/clicks to answer business question.

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Alter the layout and content of reports

Reports specific to marketing and associated campaigns

Reports specific to sales analysis for trends and strategies

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

Edit and personalize data view as needed

Alter the layout and content of reports

Alter the layout and content of reports

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

Alter the layout and content of dashboards

Reports interface for standard and self-service reports is intuitive and easy to use.

Receive email reports and notifications regarding metrics.

Requires a minimal number of steps/clicks to answer business question.

Communicate complex information clearly and effectively through advanced graphical techniques.

Supports evaluation of durations, events, and reliability in relation to statistical analysis

Identify risk data attributes such as description, category, owner, or hierarchy.

Tools to analyze financial data in order to gain usable insights.

Analysis of data sets that contain more than one variable

Provides varying estimates based on different scenarios

Apply statistical/mathematical models to sets of data

A statistical method, based on Bayesian inference, that expresses unknown parameters as probability statements

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

Analysis to understand which of the independent variables are related to the dependent variable

Supports analysis of variance (ANOVA) to determine observed variance.

Supports various regression methods such as ordinary least squares (OLS), weighted least squares (WLS), or generalized linear model (GLM).

Supports the analysis of time series data for predictive analytics and exploratory analysis.

Captures and manages data hierarchy and definitions.

Helps integrate external and internal reference data such as industry codes, entity identifiers, country codes etc used to categorize information across systems.

Helps understand the origination and route of data along with the transformations happening across various domains.

Provides context and information for data assets stored across domains and ensures adherence to established policies and processes.

Receive data and information in real time

Create, design and manage workflows for repetitive tasks

Create and manage digital catalog of products/services with their details, specifications, and price

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

Manage inventory, communication, marketing, orders & more across warehouses, stores and online channels

Provides the ability to easily share visualizations.

Allows multiple users to edit and create visualizations together.

Has the ability to edit visualization across devices and device types (e.g. computer and phone).

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

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

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

Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs

Gathers data about the effectiveness, impact, and reach of marketing campaigns

Collects and reports on data relating to customer journeys, preferences, and history

Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results

Collect information from multiple sources

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

Track and monitor a specific set of keywords

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

Track the performance of marketing campaigns across multiple channels.

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

Optimize and manage the search engine optimization efforts for a website or digital content

Generate or append custom campaign parameters to URLs

Receive data and information in real time

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

Track the amount of clicks on individual products to measure campaign results

Manage, organize, and store contact information

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

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

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

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

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

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

Create, design and manage workflows for repetitive tasks

Analyzes historical and current marketing campaigns to inform future strategy

Creates reports and dashboards to analyze results of campaigns

Identifies which marketing campaigns resolved in open or closed opportunities

Collects marketing campaign performance data across multiple channels

Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback

Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization

Manage multiple campaigns in one system

Track and interpret campaign performance metrics

Track and analyze information regarding website visitors

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

Send automated marketing emails based on user actions over a predetermined period

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

Analyze and gain insights into data in real-time

Alter the layout and content of reports