Openprise Features

Provides tools that help identify key topics that are trending, as well as the content that customers are more likely to engage with.

Helps determine the correlation between ad exposure and site visits, assets downloaded, content, leads generated, etc.

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

Provides customer and prospect segmentation capabilities, which in turn assists marketing prioritization and effectiveness.

Automatically scores prospects based on behavior and engagement levels.

Helps identify and distribute accounts internally, giving prioritization to those that are more likely to convert to sales.

Provides tracking across multiple digital advertising channels, such as video, mobile, and social media.

Helps allocate marketing budget based predicted amount of incoming revenue.

Assists in the attribution of marketing budget by identifying successful campaigns and initiatives.

Provides a timeline to visualize the effects of individual campaigns, leads, and other opportunities.

Allows for custom report types to match the goals of a company.

Provides tools that dynamically serve content, messaging, and calls-to-action.

Helps determine which accounts have the highest/lowest opportunity to convert.

Helps determine the direction of each individual account and how to engage through specific content.

Connects sales emails with cross-sell/upsell marketing campaigns across multiple channels.

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.

Correctly identify inaccurate, incomplete, or duplicated data from a data source.

Utilize deletion, modification, appending, merging, or other methods to correct bad data.

Standardize data formatting for uniformity and easier data usage.

Clean data as it enters the data source to prevent mixing bad data with cleaned data.

Finds duplicates using the fuzzy logic technology or an advance search feature.

Receive data and information in real time

Provide follow-up information after data cleanings through a visual dashboard or reports.

Automatically run data identification, correction, and normalization on data sources.

Schedule automated audits to identify data anomalies over time based on set business rules.

Gives a view of the entire data quality management ecosystem.

Allows user role-based access and actions to authorization for specific tasks.

Uses an attribution model that assigns credit to one touchpoint in the customer’s journey.

Uses an attribution model that assigns credit to all touchpoints in the customer’s journey.

Uses machine learning to create an attribution model.

Tracks customer interactions across mobile and desktop.

Allows users to track touchpoints through offline channels, such as events.

Allows the user to create a custom attribution model.

Track user conversions from all digital sources

Provides features for B2B marketers.

Provides features for B2C marketers.

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

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

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

Provides customizable dashboards that allow users to view and manage data.

Displays attribution data through easy-to-interpret charts and graphs.

Allows users to build custom reports.

Allows users to prioritize matches based on criteria such as region, account attributes, and other customer information.

Provides tiebreaking features when leads match to multiple accounts.

Provides matching logic features for special characters, acronyms, and other complex names.

Automatically routes matched leads directly to account owners.

Allows users to build custom routing rules.

Allows users to assign leads to selected territories and regions.

Allows users to configure schedules so leads are routed only during working hours.

Allows users to configure service level agreements so leads get matched and routed as fast as possible.

Provides features to audit any leads that were misrouted to incorrect accounts.

Provides features to quickly audit leads and identify if there are duplicate leads in multiple accounts.

Limits the number of leads to assign to sales reps.

Provides analytics for tracking and monitoring routing.

Provides integrations for CRMs and marketing automation platforms.

Sends an alert to salespeople when a lead is routed to them.

Leverages AI to improve lead-to-account matching accuracy and reduce latency in routing leads.

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.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

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

Makes informed choices based on available data and objectives

Software program that continuously adjusts its behavior based on observed data

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

Manage multiple campaigns in one system

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

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

Manage advertising space and its sales within your network or publication

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

Plan and strategize marketing campaigns

A report showing what actions customers perform

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

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

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

Import and export data to and from software applications

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

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

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

Visualize and analyze customer experience across all touchpoints and channels

Track an affiliate partner's promotion of a product or service and any associated sales

Predict future data based on historical data sets

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

Automatically identify and save contact information of potential customers

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

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

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

Monitor conversion rates and analyze effectiveness and profitability of marketing efforts

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

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

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

Track and interpret campaign performance metrics

Track visitors and purpose of visits

Process of dividing customers into groups based on common characteristics

Alter the layout and content of reports

Creation and customization of dashboards

Track and analyze information regarding website visitors

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

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

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

Indexes metadata descriptions for easier searching and enhanced insights

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

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

Create, design and manage workflows for repetitive tasks

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

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

Import and export data to and from software applications

Rules followed by the software/AI can be configured by users to suit their specific needs

Verify, organize, manage & store enterprise data assets in a centralized repository

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

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

Allows users to manage data from a number of sources

Online portal through which end users can access the system, manage tasks, or obtain information

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

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

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

Manage and support multiple languages

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

Compare new data with existing records to detect duplicate entries

Extract email addresses from multiple data sources

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

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

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

Track the management and flow of data throughout the organization

Verifies and confirms the accuracy of an address

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

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

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

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

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

Import, collect, and capture data from multiple sources

Define levels of authorization for access to specific files or systems

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

Discover and connect variety of data sources to the application for analysis

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