Our scale-up social media analytics company is seeking a data engineer to develop a robust real-time analytics platform to enhance influencer engagement insights. The project involves building a data pipeline capable of processing and analyzing massive volumes of social media interactions in real-time, leveraging cutting-edge technologies such as Apache Kafka, Spark, and Databricks.
Social media marketers and brands seeking real-time insights into influencer performance and engagement metrics.
Brands and marketers struggle to gain timely insights into influencer performance, resulting in missed opportunities to optimize campaigns and engagement strategies.
Brands are highly motivated to invest in solutions that provide a competitive advantage in the influencer marketing space, driven by the need for real-time engagement metrics to enhance campaign effectiveness.
Failure to implement real-time analytics could result in missed optimization opportunities, decreased engagement, and a competitive disadvantage in the rapidly evolving social media landscape.
Current alternatives include delayed batch processing analytics platforms, which lack the ability to provide real-time insights necessary for timely decision-making.
Our platform's unique selling proposition is its ability to deliver real-time engagement analytics using cutting-edge event streaming and data processing technologies, coupled with seamless integration into existing marketing workflows.
Our go-to-market strategy involves leveraging partnerships with leading influencer marketing agencies and platforms, combined with targeted digital marketing campaigns to reach brands and marketers that prioritize real-time engagement insights.