Clarisights Features

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

Includes features for budgeting, forecasting, and managing marketing investments

Offers a white labeling service for agencies or resellers to customize platform branding

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

View ETL process data via reports and visualizations like charts and graphs.

Record ETL historical data for auditing and potential data correction needs.

Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Cleanse and re-format extracted data to the needed target format.

Load reformatted data into target database, data warehouse, or other storage location.

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Capable of scaling processing power up or down based on ETL volume.

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

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.

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.

Track the management and flow of data throughout the organization

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

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

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

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

Define levels of authorization for access to specific files or systems

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

Looking at data from different sources and finding possible duplicates, or identical matches

Active monitoring of systems, applications, or networks

Collect and maintain structured information that describes data or content

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

Planning and managing the execution of tasks or jobs within a computer system, network, or other automated environments

Creation and customization of dashboards

Manage and store data in a database

Allows users to manage data from a number of sources

Import and export data to and from software applications

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

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

Connect to big data sources

Alter the layout and content of reports

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

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

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

Integrate with a third-party accounting system

Receive data and information in real time

Has a built-in eCommerce system or integrates with third-party systems to manage online sale of products

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

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

Graphical representation of data

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

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

Analyze and gain insights into data in real-time

Import, collect, and capture data from multiple sources

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

Organize and manage the accomplishments and development of employees or performance of applications or systems

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

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

Process of copying and storing data in more than one site or node

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

Supports common databases such as MySQL and Oracle

Create, design and manage workflows for repetitive tasks

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

Predict future data based on historical data sets

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

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

Analyze survey results via statistical testing or crosstabs directly within the software