Increase Cross Sell and Up Sell Revenues with
Coremetrics Intelligent Offer™ 6
Personalize Your Visitor’s Experience to Increase Revenues and Average
Order Value
Personalized product recommendations are proven to consistently increase sales, conversion rates, average order value and customer retention. Coremetrics Intelligent Offer automatically generates personalized product recommendations based on the richest, most detailed customer insight and the industry’s most sophisticated recommendations engine.

Platform Integration
Coremetrics Intelligent Offer is part of the Coremetrics Continuous Optimization Platform, which makes it easier to relentlessly market across channels, campaigns and devices. Intelligent Offer's platform integration provides superior benefits:
- Improve the performance of your email marketing program by seamlessly integrating Intelligent Offer with Coremetrics LIVEmail™ 3, enabling you to deliver a highly tailored experience directly to your customers and prospects.
- Increase the effectiveness of your product recommendations by drawing from the rich data of Coremetrics Lifetime Individual Visitor Experience (LIVE) Profiles.
- Reduce implementation cost and complexity by leveraging your existing Coremetrics Analytics tags and third part integrations to drive product recommendations; “Snap-In” Dynamic Recommendations enable rapid integration of recommendations with minimal IT assistance.
Key Benefits of Coremetrics Intelligent Offer 6
- Personalization for greatest impact. No two visitors have the same interests or behaviors. Exclusive Coremetrics LIVE Profiles, historical and in-session data and wisdom of the crowds based algorithms, combine to present each visitor with the set of recommendations best suited to drive conversion.
- Control and flexibility. New business rules enable you to manage sophisticated recommendations scenarios and tailor recommendation outcomes to your exact revenue, margin and inventory goals. Quickly incorporate business and campaign metrics or enterprise product data, previewing recommendations outcomes and ensuring alignment to broader enterprise targets.
- Real-time recommendations. Profiles and recommendations driven in real-time based on observed behaviors, top selling items, last item purchased, last item added to cart, last item viewed and more. Immediately remove undesired recommendations using item black-lists. Because visitor profiles are constructed in real time recommendations can become personalized very quickly allowing Intelligent Offer to optimize recommendations for every visitor.
- Search Recommendations. New in Intelligent Offer 6 – use recommendations on search landing pages to increase relevancy of results and reduce bounce rate. Paid search and onsite search landing pages can be enhanced with personalized recommendations in the newest version of Intelligent Offer.
- A/B Testing. Determine the highest impact of multiple recommendation settings on overall site conversions; Test alternative algorithm affinity weights, business rules, site zone locations as well as number of recommendations delivered to a specific site zone. Immediately stop poor AB test performers to reduce opportunity cost and visitor dissatisfaction.
- Recommendations delivered directly to your customers. Incorporate personalized recommendations into product and category pages, search results, shopping carts and personalized emails to reach your customers where they interact with your business. The rich profiles and sophisticated algorithms in Intelligent Offer deliver optimal recommendations based on a broad set of
data inputs:
- Top selling items in your favorite category
- Last item purchased, added to cart or viewed
- New business rules driven by the merchandiser
- Enhanced fall back recommendations to match compelling products and offers to visitors when behavioral data is unavailable
- Optimization regardless of history. Enhanced fall back recommendations match compelling products and offers to visitors when behavioral data is unavailable. Intelligent offer delivers the optimal recommendations based on multiple personalization inputs, including imported product data, visitor actions and business rules.
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