Our customer was looking to expand their content catalog with assets that will result in high viewership and thus provide higher revenues. The company was only using a few standard data points to predict whether each content asset would be successful. This resulted in the company overpaying for some assets that didn’t pan out, as well as filling their platform with content that, while receiving clicks and views, has not justified the platform’s spending on them. Our customer needed to verify that the content they’re purchasing is the right one.
With Explorium’s Enrichment Catalog, the company built a new evaluation model that could more accurately predict whether specific assets would perform well. Our customer connected their data to Explorium, and generated the following new features to measure content success:
Once they made the switch to Explorium, the results were immediate. The first noticeable difference was that the company’s prediction accuracy jumped by 14%, leading to better selection and overall higher revenues per asset. Additionally, using Explorium helped the company reduce its overall data-related costs by 20%, which translated to thousands of dollars saved every month. Today, our customer can more accurately build their content catalog with assets that are likelier to be viewed, reducing their acquisition costs and boosting their viewership — and thus revenues.
