Your business collects data from both traditional and digital sources on a daily basis. This steady stream of signal data, customer asset and operational data is a deluge of structured and unstructured formats. Frequently it can seem overwhelming, especially when a traditional system has to store, process and analyze the massive amounts of data to provide actionable insights. What if you could take advantage of the largest data processing system in the world and add actionable data in real time? This is what big data brings to systems. You can add insights into your marketing systems to inform targeting and advertising bidding. You can use hundreds of data sources to gain insight into your user at your point of access or registration or you can add information to legacy customers and use that to re-target and reduce churn. Big data can assist your company in analyzing where your customers are online and what is the best way to convert them.

Add insightful data to new users

With big data you can build consumer models that are predictive of user spending on your platform. By scoring and analyzing what users are more likely to upgrade to premium packages or convert from freemium status. These types of integrations are especially useful when they can be automated. We can directly affect the cost of acquisition and the lifetime value of a consumer by adding actionable data at every step of your user funnel.

Attract users outside your normal SEO process

Big data immediately adds more ways to reach and analyze customers. Retail and brick and mortar type companies can now utilize the latest in data to realize large gains. From analyzing who is responding to your advertising and visiting your website to using hyper-local marketing, DataRev can allow your organization to find and advertise to consumers in the local community. The power of a signal based approach is that you advertise to local consumers when they are predicted to be in a purchase decision about your product type. You reach your best customer at the best time to reach them, when they are interested in making a purchase.