On a given day, the average consumer might be exposed to anywhere between 2000 and 5000 ads both online and off. For even the most talented marketer, truly understanding shopper demands and designing targeted promotions to break through the noise can be a daunting task. But what if I told you that there was a science-driven supercharger that fit into your marketing engine and empowered shopper engagement like never before? And that this supercharger would drive retailer manufacturer collaboration, boost ROI, and get progressively more powerful. In a nutshell, that's C-Lose. A hyper-local digital marketing solution that seamlessly plugs into your existing workflows using advanced science and predictive modeling to empower shopper engagement through various marketing vehicles at home, in-store, and on the go. Sound too good to be true? Let's take a look under the hood and see how it works. It all starts with a science and the data behind it. The C-Lose powerful yet simple-to-use dashboard connecting to your databases, you can quickly derive data-driven business insights that can help you set clear objectives and get accurate forecasts. In a few clicks, you can get interdependency insights which tell you specifically on how different products, locations, or categories are correlated. With engagement, you get a look at how shoppers engage at a given location or vice versa. Finally, you get forecasts that tie it all together with the power of predictive modeling. These insights provide practical data application that delivers concrete goal-setting and accurate performance forecasting. It's never been easier to determine an underserved location, product, or category, and lay down a blueprint for how to translate that data into meaningful shopper engagement. Once you have a blueprint, the next step is actually building the structure, or in this case the promotion. With C-Lose, all you have to do is enter parameters around budget, objective, and geography, and the system provides recommendations for the optimal promotions. Like what you see, take it a step further and do some fine tuning by running what-if scenarios that allow you to set parameters that are tailor-made to meet the exact specifications of your promotion objectives. This takes out the guesswork and gets you on the right track to planning a successful promotion and maximizing shopper engagement. Now that you're on the right track, it's all about getting to the destination, targeted hyper-local shopper engagement. A targeted email to a customer surfing the web at home. A time-sensitive location-based message to a commuter based on proximity to a retail store. A basket-dependent, in-store beacon-triggered push notification to a shopper's phone. All working together as parts of the same promotion. After launching a promotion, you can analyze data with a dashboard that delivers not just metrics, but actual business insights into how shoppers are engaging as a result of a specific promotion, giving you an in-depth story of exactly what's going on down to the product or store level, which then feeds into future data insights. And that's the beauty of it. The more shoppers engage, the more data is collected, the clearer the goals become, the more accurate forecasts become, the more relevant promotions become, and the more shoppers engage. It's where data insight meets marketing foresight, and it's the future of shopper engagement powered by C-Los. To learn more or schedule a live demo, visit us at C-Los.com.