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.

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.

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.

Provides features for B2B marketers.

Provides features for B2C marketers.

Enables marketers to track multiple marketing channels.

Integrates with other sales, marketing, and advertising software.

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.

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