IBM Content Recommendations

Provides smarter content recommendations

• Delivers highly targeted recommendations of a variety of content assets including articles, videos, customer testimonials, recipes, education modules, frequently asked questions documents, white papers and more.
• Gives you flexibility, visibility and control through business rule management. Now you can align content recommendations with business goals.
• Provides a self-learning engine that can be tuned to help you increase site visits, conversions, brand engagements and contributions.
• Allows you to test, analyze and continuously optimize your program performance.
• Can help you optimize your marketing efforts and engage your customers with personalized recommendations that are behavior-based, relevant and timely.

Can be delivered through multiple channels

• Helps you provide a personalized and consistent experience for your customers through the different channels they use to interact with your brand.
• Delivers relevant recommendations on website pages, for page elements (e.g. videos on a page), or for page categories.
• Offers compelling recommendations beyond the website in emails, display ads, mobile applications, call centers and off line.
• Allows you to create and deploy best practice recommendations throughout the multiple delivery points.

Offers comprehensive analysis and reporting

• Helps increase productivity through automated recommendations, intuitive reports and pre-defined executive dashboards.
• Allows you to perform deeper levels of analysis to measure and improve performance. This includes content performance, segmentation and cross-section analysis.

Helps give marketing more control

• Easily manage rules and affinity settings to optimize your recommendation set to meet business goals.
• Promote, exclude, boost, and deemphasize content assets.
• Fully adjust the underlying algorithm to optimize your recommendation set to meet business goals.
• Apply built-in A/B testing to identify the best performing algorithms and rule sets for continuous optimization of recommendation programs.
• Deploy the solution without multiple tagging initiatives to save resources and keep your team focused on marketing projects.