Predictive Cluster Based Targeting

Triple Conversion Rates with Cluster-Based Targeting
Next Generation Cluster-Based Targeting Program For Retailers.

Watch Our 3-Minute Demo Video

Check out our demo video and get a quick overview of what AgilOne is all about and how we are EVOLVING the way business is done!

With AgilOne’s cluster-based targeting program, a health goods company
was able to see 650% more revenue
per email.

The AgilOne Advantage
AgilOne can automatically discover customer segments using machine learning. Targeting customers based on these product, brand or behavior-based clusters has proven to triple conversion and purchase rates. You can further increase success by adding personalized recommendations.
More and more companies are experiencing the AgilOne Advantage

DISCOVER DIFFERENT CUSTOMER TYPES YOU NEVER KNEW YOU HAD
AgilOne’s out-of-the-box clusters help you discover product, brand and behavior-based customer segments. AgilOne uses machine learning to analyze customer purchase history, discount use, returns, brand preferences, average order value and many other factors to find patterns and create accurate customer clusters.

Armed with these clusters you can make marketing more relevant and personalized, along with seeing a two to three times increase in click-through and purchase rates.

LEVERAGE UPSELL AND CROSS SELL RECOMMENDATIONS TO INCREASE ROI
Send targeted upsell and cross sell recommendations to each of the cluster members to further increase engagement.

Continually updated customer profiles helps you give the most accurate product or brand recommendations throughout the customer journey.

Integrate easily with your existing marketing applications

Share dynamic content, such as abandoned items and personalized upsell or cross sell recommendations, with out of the box connectors to:

INCLUDE LIKELIHOOD TO BUY, CUSTOMER LIFETIME VALUE AND DISCOUNT COMBINATIONS
AgilOne’s engine goes beyond traditional product recommendations by utilizing likelihood to buy or customer lifetime value to further tailor incentives and create a 1:1 relationship with revenue gains in mind.