Site+1 Audience Management Solution

Message Optimization

Predictive optimization for your messaging drives profitable website behavior

Site+1 uses our powerful Predictive Optimization Engine, POE™, to show each visitor the message that is statistically most likely to make that visitor take action. POE™ is a very sophisticated solution, in large part because the problem it is built to solve, online audience segmentation, is complicated. And while each client we work with has different opportunities and constraints POE™ is flexible and robust enough to handle almost any site personalization scenario right out of the box.

Some features of POE™ include:

• Rule based targeting: Our rules engine enables you to set up audience segments based on attributes like demographics, geographic location, time of day or any other data – including your own – that has been integrated into the platform. For example, with just a few clicks you can build a rule to show a particular offer to eligible site visitors from major Eastern US cities who are surfing from work during the day.
• Select the best statistical model for you: Optionally choose which algorithmic method you’d like to use - logarithmic regression, multi-decision-tree modeling, or neural network – or let our Predictive Optimization Engine fit the best model to your data. You can also work with our Client Solutions team to implement your own proprietary models.
• Value-based optimization allows companies to focus their targeting to deliver higher-value conversions. Your company might have 10 different products, each with different profitability or expected lifetime values. With Site+1's value-based optimization, your company can precisely target offers for higher-value products to the people who are most likely to purchase them. The result: a greater return for the same number of conversions.
• Live behavioral profiles allow Site+1 to update user data in real time, so that the system can effectively target across multiple interactions within a single site visit. For instance if a user has been shown an offer and responded in a particular way, subsequent offers within the same site visit can target the user based on the actions just taken.
• Champion vs. Challenger Modeling: POE™ actually improves itself on the fly. As in direct mail where a primary offer and a control are used, POE™ always has an incumbent model and a new model, which acts as the "challenger", competing for the best performance on your business goals. POE™ keeps challenging the incumbent model until it finds a better model, which then becomes the incumbent. This process is continually repeated and refined.

Learn more about how to optimize your message