Oracle Audience Segmentation Description
Third-party data enriched with third-party data can be used to improve campaign performance and easily create audience segments. Oracle Audience Segmentation uses customer analytics to predict campaign performance and measure it. You can sort through your customer data without SQL. Drag-and-drop tools allow you to create segments and include important information to personalize every message. Segment your marketing efforts based on aggregated customer value. You can filter easily to identify the top 15% of buyers and isolate the least engaged web visitors. You can save time and improve the accuracy of your targeting. You can quickly assess the size of an audience and not have to wait for a query response. Waterfall segmentation allows for you to create and prioritize segments within your audience to match customers with relevant, goal-oriented content. This segment data will be included in the audience when it is published to external systems such as Responsys Campaign Management.
Oracle Audience Segmentation Alternatives
Inte Q Genesis
Inte Q's Genesis Customer Engagement Platform allows you to leverage customer data in new and innovative ways. Genesis accepts data as is and drives intelligent decision making with segmentation tools, unified profiles, and more. With a single view of all customers, connect disparate data sources to gain deeper customer insights and increase ROI. Real-time data health dashboards monitor data quality and highlight data improvement opportunities that can increase response rates and enhance personalized messaging. Pre-built connectors make it easy to integrate and combine data from hundreds of sources. You can create strong customer profiles from disparate data sources, and activate customer segments without relying upon your IT resources. Segment Builder's point-and-click features allow you to create custom segments instantly, without any coding!
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Aroscop
Data-driven marketing solutions are built on a Customer Data Platform to help marketers optimize their customer's buying cycles. To improve transparency and understanding in your marketing and advertising value chain, activate & mobilize your first-party data. You can create clear user personas using demographics, browsing history, and transaction history. Then enrich these cohorts with additional data layers. To generate additional revenue, or create targeted campaigns, manage digital inventories across your properties or those of your partners. Combine data from multiple sources, online or offline, first party, second-party, or third-party data. This unified view of data can be used to create digital strategies that work. Use existing or custom Machine Learning models for creating custom segments, audience cohorts, predictive modelling & heuristics.
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campaignViz
With step-by-step workflows, templates and templates, you can simplify audience segmentation, campaign creation, offer management, and offer management. You can analyze and identify the right audience to promote your campaign based on a variety of profile attributes. Combine campaign data and player data to improve your marketing strategy from analysis to action. Push/pull allows you to manage monthly campaigns and export offer information into an offer management system. Execute dozens or more innovative campaigns each month with a variety of segments. You can track campaign performance in flight and quickly respond to campaigns that are not performing. There are many super graphics and out of the box reports. You can view offer redemption by campaign, segment, and player. Flexible and efficient methods to segment players and analyze their behavior using the desired metrics.
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Mobilewalla
Mobilewalla's audience segments allow you to reach your most valuable customers and prospects efficiently and effectively. Mobilewalla's audience segments are built from thousands of consumer data points. These audiences can be customized to deliver the right message at the right time to the right consumers. Our audience segments are available for use in digital and social media channels such as Facebook, Twitter, and Instagram. Mobilewalla data is rich and deep, allowing us to create a portrait of each device ID. Predictive modeling is used to identify patterns and group devices into segments. App usage gives us behavioral information that tells us a lot about our customers. Demographic insights offer additional background information. Mobilewalla verifies our gender and age segments using Nielsen DAR data and US Census data. GPS latitude/longitude location data can be retrieved from billions upon billions of daily signals to provide scale and accuracy.
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Company Details
Company:
Oracle
Year Founded:
1977
Headquarters:
United States
Website:
www.oracle.com/cx/marketing/audience-segmentation/
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