IBM Campaign (formerly Unica) Ratings & User Feedback
Software Profile & Review Summary
IBM Campaign (formerly IBM Unica) is a broad-based enterprise marketing operations platform that includes Marketing Automation capabilities along with marketing operations capabilities (budget and forecasting, project workflow management, asset management, brand management and spend management). Note that IBM has transitioned away from the name Unica. Part of IBM's Marketing Solutions portfolio, it's geared towards large B2C customers and is available as either a SaaS or an on-premise offering. In general IBM Campaign scores below the Marketing Automation average, but is roughly on par with the overall experience metrics for other complex, enterprise MA tools. It scores highest in usability (8.0). While below average compared to Marketing Automation products in general, IBM Campaign's usability rating matches or exceeds most other enterprise solutions.
|Customers:||8,000+ (IBM Marketing Solutions)|
|Employees:||About 400,000 (IBM)|
|Location:||Armonk, NY (IBM)|
|Acquisitions:||Acquired by IBM in Oct. 2010*|
|Integrations:||>1,000 included in IBM Commerce's partner program|
|Most compared to**:||Adobe Campaign, Silverpop Engage, Salesforce, Teradata Integrated Marketing Cloud|
|Best fit for***:||B2C enterprise power-users who want to customize and then reuse objects, and who are interested in leveraging predictive analytics.|
IBM Campaign Customer Demographics*
Summary of IBM Campaign Reviews
|IBM Campaign Pros||IBM Campaign Cons|
||UI design and product complexity
Aggregate User Ratings of IBM Campaign on TrustRadius
IBM Response to Reviewer Feedback
IBM has made significant investment in UI and UX including hiring new talent, conducting extensive Design Thinking training and expanding the beta and UI testing programs. Product capabilities recently released including journey designer reflect the new UI and UX now being rolled out across the portfolio.
IBM provides marketers with a full customer experience analytics suite expanding beyond traditional digital analytics to include customer experience, cognitive and predictive analytics.