Under the hood, Unica is a Marketing platform built by experts, that crafts a precise marketing campaign customised to your needs. Unica’s algorithms automatically manage your campaigns, and help you reach your goals on time.
Maintain a complete history for each customer and prospect including contacts made, offers presented, context and campaign details, and response actions. All of this is critical to building an effective, ongoing dialog.
Leverage standard campaign reports and other tools for performance analysis. The solution’s flexible and open data mart allows custom data fields to be incorporated into reports. Any third-party reporting or analysis tool can be used against the IBM Campaign data mart.
HCL Software is excited to announce the acquisition of Unica from IBM, including Campaign, Interact, Marketing Operations and Contact Optimization. Watch a replay of the HCL Unica is Back Webinar.
A combination of segmentation logic, marketing rules, and algorithms monitor interactions over time and automate the process of building personalization models to easily define strategies for interacting with customers and prospects and, just as importantly, easily modify those strategies and understand the impact of changes.
A configurable Bayesian algorithm combined with integrated offer arbitration capabilities builds insight over time and helps determine the best offer or message to present to each customer or prospect.
Separate user interfaces for marketers, technical analysts and operational managers of interactive channels create an uncomplicated and intuitive user experience for each person involved in the inbound marketing process.
Provide marketing performance analysis, interactive channel activity analysis, campaign strategy inventories and deployment auditing— all intended to improve managerial oversight and marketing results.
Interact is part of a single interactive marketing solution at the heart of which is Campaign, enabling inbound and outbound marketing to be coordinated into a single strategy for building customer relationships, using a single technology platform.
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Automate the review process by using business rules to route approvals, review and mark-up documents, and ensure that signoffs are properly obtained and audit trails are logged to meet regulatory compliance.
Deliver optimal communications to individual customers based on interaction history, offer details, channel preferences and timeframe. Use data models to find the best communication for each customer and reduce wasted communications. Reduce customer fatigue and decrease opt-outs.
Identify limits that can impact contact strategy such as size of marketing budget, number of available offers of various types, and number of telemarketing calls that can be made per period. Create campaigns and define the proposed contacts to include in each campaign. Make informed decisions about the individual offers and messages each customer should receive.
Identify customer preferences including preferred channel to receive communications, maximum number of contacts to receive each month, and primary product or service interests. Balance business objectives and constraints with customer preferences and history, and automate the manual process of optimizing customer communications.
Define rules based on business considerations. For example, identify limits for how many offers a sales agent can handle or specify marketing goals based on optimal customer value or probability of response. Define business goals by utilizing scores from the customer and offer level, and rank offers by segment and offer combinations using a scoring matrix.