Our scale-up company in the Social Media & Influencer industry is seeking an experienced data engineer to develop a real-time analytics platform. This platform will enable influencers and brands to gain immediate insights into engagement metrics, allowing for timely decisions and enhanced collaboration. Leveraging cutting-edge technologies such as Apache Kafka and Spark, the project aims to transform how influencer campaigns are optimized in real time.
Influencers and brand managers looking for actionable insights into social media engagement metrics in real-time.
Influencers and brands currently lack the ability to access real-time engagement metrics, which hampers their ability to make swift, data-driven decisions necessary for optimizing ongoing campaigns.
The target audience is ready to pay for solutions that offer competitive advantages and potential revenue impact through enhanced engagement and campaign performance.
Failure to implement a real-time analytics platform will result in lost revenue opportunities, decreased engagement, and a competitive disadvantage in the rapidly evolving social media landscape.
Current alternatives include batch processing solutions with delayed insights, which fail to meet the immediacy needs of today's social media strategies. Competitors are increasingly moving towards real-time analytics offerings.
Our platform's unique selling proposition lies in its ability to deliver real-time insights with unparalleled data accuracy and processing speed, tailored specifically for the Social Media & Influencer industry.
Our go-to-market strategy includes strategic partnerships with prominent social media platforms and influencer marketing agencies, along with targeted digital marketing campaigns to raise awareness and drive adoption among influencers and brand managers.