An e-commerce company was exploring value in their advertisement spend on social media channels. The company was looking at ways to explore context-specific advertisement. There was a need to identify which channel would bring higher throughput on a fixed advertisement spend.
The channel score was one of the defining factors on the ad spend. BeetleRim scraped data from the social media channels to identify any references to the e-commerce site. Based on the volume of references, the channel score was evaluated and adjusted every week. The solution was also built to ensure that data from multiple sources was well considered.
