Leaders of engagement-centered businesses are under unprecedented pressure to attract and direct the attention of today’s highly sophisticated customers. OWL specializes in delivering the analytics that achieve exactly that.
Behavioral data is the currency of the Media and Entertainment industries. Ratings, impressions, ultimates, clicks, admissions and a handful of other statistics establish the value of content. As “windows” become irrelevant and the consumer takes control of when and where media is consumed, yielding the engagement value of content requires more advanced analytics techniques. Luckily, the cross-platform and on-demand nature of today’s entertainment consumption generates exponential volumes of transaction and social data. Integrating this data into predictive and optimization models is the only way to establish the true value of media assets for planners, buyers, and stakeholders.
In the Travel and Hospitality industries the pressure is on to re-connect to guest wallets and ensure shareholder value. Today, the traveler transmits a stream of data through a variety of channels, before, during, and after their trip. Some channels are internal, such as reservations. Some external, such as weblogs. When read correctly, this data reveals the true “picture” of the guest’s needs and wants. Profit leaders will be those companies that can best capture, combine and analyze this data and quickly align their operations around offerings that anticipate and serve the lifestyle and aspirations of each guest individually. The guest experience then becomes personalized, increasing the opportunities to extract revenue, build loyalty, and create valuable word-of-mouth. More+
Shoppers no longer use retail venues to discover products. Today’s consumer is empowered with product intelligence from manufacturer’s websites, written and video reviews, and social recommendations. Shoppers now expect stores to be centers of engagement where they can increase their knowledge, interactively experience product portfolios, and commit to a fair and mutually loyal relationship. To ensure success in this environment, retailers must refocus their value proposition from “product-centric” to “experience-centric”. Extracting unique observations from structured and unstructured data is critical to anticipating shoppers’ attitudes and expectations. Translating these insights into a real-time, optimization model of the shopping ecosystem is the ultimate expression of intelligent retailing.