Openprise Features
What are the features of Openprise?
Functionality
- Identification
- Correction
- Normalization
- Preventative Cleaning
Management
- Reporting
- Automation
Top Rated Openprise Alternatives
(42)
4.8 out of 5
Visit Website
Sponsored
Openprise Categories on G2
Filter for Features
Lead Intelligence
Market Insights | Provides tools that help identify key topics that are trending, as well as the content that customers are more likely to engage with. | Not enough data | |
Account-level Insights | Helps determine the correlation between ad exposure and site visits, assets downloaded, content, leads generated, etc. | Not enough data | |
Lead Analysis | Prioritizes leads through lead scoring, market insights, account-level insights, etc. | Not enough data |
Lead Management
Segmentation | Provides customer and prospect segmentation capabilities, which in turn assists marketing prioritization and effectiveness. | Not enough data | |
Predictive Scoring | Automatically scores prospects based on behavior and engagement levels. | Not enough data | |
Account Identification | Helps identify and distribute accounts internally, giving prioritization to those that are more likely to convert to sales. | Not enough data |
Marketing Campaigns
Omni-Channel Tracking | Provides tracking across multiple digital advertising channels, such as video, mobile, and social media. | Not enough data | |
Revenue Planning | Helps allocate marketing budget based predicted amount of incoming revenue. | Not enough data | |
Media Attribution | Assists in the attribution of marketing budget by identifying successful campaigns and initiatives. | Not enough data | |
Opportunity Timeline | Provides a timeline to visualize the effects of individual campaigns, leads, and other opportunities. | Not enough data | |
Customization | Allows for custom report types to match the goals of a company. | Not enough data |
Campaign Execution
Website Personalization | Provides tools that dynamically serve content, messaging, and calls-to-action. | Not enough data | |
Prioritized Accounts | Helps determine which accounts have the highest/lowest opportunity to convert. | Not enough data | |
Trending Accounts | Helps determine the direction of each individual account and how to engage through specific content. | Not enough data | |
Email Campaigns | Connects sales emails with cross-sell/upsell marketing campaigns across multiple channels. | Not enough data |
Data Sourcing
Data Enrichment | Uses external data sources to improve customer profiles. | Not enough data | |
Expandability | Can be updated to accept new sources and types of data. | Not enough data | |
Content Marketing | Can act as a content marketing platform. | Not enough data | |
Multiple Devices | Can engage with customers across any device with a consistent message. | Not enough data |
Intelligence
Marketing Metrics | Provides analysis of marketing program ROI and efficiency. | Not enough data | |
Predictive Modeling | Predicts outcomes based on statistical models; can give insight to "what-if" scenarios. | Not enough data | |
Recommendation Engine | Uses artificial intelligence to provide suggestions based on desired outcomes. | Not enough data |
Functionality
Identification | Correctly identify inaccurate, incomplete, or duplicated data from a data source. This feature was mentioned in 17 Openprise reviews. | 93% (Based on 17 reviews) | |
Correction | Utilize deletion, modification, appending, merging, or other methods to correct bad data. 17 reviewers of Openprise have provided feedback on this feature. | 91% (Based on 17 reviews) | |
Normalization | Standardize data formatting for uniformity and easier data usage. 17 reviewers of Openprise have provided feedback on this feature. | 95% (Based on 17 reviews) | |
Preventative Cleaning | Clean data as it enters the data source to prevent mixing bad data with cleaned data. 14 reviewers of Openprise have provided feedback on this feature. | 98% (Based on 14 reviews) | |
Data Matching | Finds duplicates using the fuzzy logic technology or an advance search feature. | Not enough data |
Management
Reporting | Provide follow-up information after data cleanings through a visual dashboard or reports. This feature was mentioned in 13 Openprise reviews. | 81% (Based on 13 reviews) | |
Automation | Automatically run data identification, correction, and normalization on data sources. This feature was mentioned in 17 Openprise reviews. | 97% (Based on 17 reviews) | |
Quality Audits | Schedule automated audits to identify data anomalies over time based on set business rules. | Not enough data | |
Dashboard | Gives a view of the entire data quality management ecosystem. | Not enough data | |
Governance | Allows user role-based access and actions to authorization for specific tasks. | Not enough data |
Attribution Modeling
Single-Touch Attribution | Uses an attribution model that assigns credit to one touchpoint in the customer’s journey. | Not enough data | |
Multi-Touch Attribution | Uses an attribution model that assigns credit to all touchpoints in the customer’s journey. | Not enough data | |
Algorithmic Attribution | Uses machine learning to create an attribution model. | Not enough data | |
Cross-Device Attribution | Tracks customer interactions across mobile and desktop. | Not enough data | |
Offline Attribution | Allows users to track touchpoints through offline channels, such as events. | Not enough data | |
Custom Attribution | Allows the user to create a custom attribution model. | Not enough data |
Marketing
B2B Attribution | Provides features for B2B marketers. | Not enough data | |
B2C Attribution | Provides features for B2C marketers. | Not enough data | |
Marketing Channels | Enables marketers to track multiple marketing channels. | Not enough data | |
Integrations | Integrates with other sales, marketing, and advertising software. | Not enough data |
Reporting
Dashboards | Provides customizable dashboards that allow users to view and manage data. | Not enough data | |
Data Visualizations | Displays attribution data through easy-to-interpret charts and graphs. | Not enough data | |
Custom Reporting | Allows users to build custom reports. | Not enough data |
Matching
Priority Matching | Allows users to prioritize matches based on criteria such as region, account attributes, and other customer information. | Not enough data | |
Account Tiebreakers | Provides tiebreaking features when leads match to multiple accounts. | Not enough data | |
Fuzzy Matching | Provides matching logic features for special characters, acronyms, and other complex names. | Not enough data |
Routing
Match and Route | Automatically routes matched leads directly to account owners. | Not enough data | |
Multi-Objects | Allows users to build custom routing rules. | Not enough data | |
Territories | Allows users to assign leads to selected territories and regions. | Not enough data | |
Working Hours | Allows users to configure schedules so leads are routed only during working hours. | Not enough data |
Platform Operations
Service level Agreements | Allows users to configure service level agreements so leads get matched and routed as fast as possible. | Not enough data | |
Audit Logs | Provides features to audit any leads that were misrouted to incorrect accounts. | Not enough data | |
Duplicate Match | Provides features to quickly audit leads and identify if there are duplicate leads in multiple accounts. | Not enough data | |
Capping | Limits the number of leads to assign to sales reps. | Not enough data | |
Analytics | Provides analytics for tracking and monitoring routing. | Not enough data | |
Integrations | Provides integrations for CRMs and marketing automation platforms. | Not enough data |
