Marketing Analyst - iGaming

As a Marketing Analyst at Everyrealm, your main focus will be analyzing marketing performance across various channels such as paid search and social media. You'll build and maintain attribution models, calculate key metrics like CAC and LTV, and connect with agencies to optimize marketing spend. You are critical in delivering reports and analyses that inform strategic decisions, ensuring Everyrealm maximizes its marketing ROI.

To be considered for the Marketing Analyst position at Everyrealm, you'll need 2–5 years of experience in data analytics, ideally in the iGaming, fintech, or e-commerce sectors. You'll also need proficiency in Excel and data visualization tools like Tableau or Power BI, with strong knowledge of marketing attribution models. Having experience with marketing data pipelines and CRM tools will further strengthen your application.

A Marketing Analyst plays a vital role at Everyrealm by turning data into actionable insights that inform marketing strategies. By analyzing acquisition channels, monitoring key metrics, and optimizing campaigns, you ensure that Everyrealm's marketing spend is not only justified but also drives player engagement and retention, which contributes directly to overall growth.

A Marketing Analyst at Everyrealm should be proficient in Excel and have experience with data visualization tools such as Tableau, Power BI, or Looker. Familiarity with analytics concepts such as attribution models and knowledge of marketing automation platforms and CRM tools will greatly enhance your contributions in driving effective marketing strategies.

The work culture at Everyrealm is fast-paced and data-driven, offering a collaborative environment where you will work closely with different teams, including Marketing, Product, and Finance. As a Marketing Analyst, you'll be encouraged to explore your curiosity and passion for data storytelling, making an impactful contribution to our iGaming initiatives.

To measure the success of a marketing campaign, I typically look at key performance indicators such as return on ad spend (ROAS), customer acquisition cost (CAC), and lifetime value (LTV). I would also analyze conversion rates and engagement metrics to evaluate how well the campaign resonated with our target audience.

Customer lifetime value (LTV) reflects the total revenue a business can expect from a single customer throughout their relationship. Understanding LTV is crucial for a Marketing Analyst as it helps in determining how much to invest in acquiring customers and measuring the long-term value of marketing strategies, ensuring sustainable growth.

I am proficient in Excel and have experience with data visualization tools like Tableau and Power BI. I've used these tools to analyze marketing data, create dashboards for real-time tracking of KPIs, and visualize trends, enabling clear communication of insights to stakeholders.

Building an attribution model involves defining the touchpoints a user encounters before conversion. I typically start by identifying key channels, selecting the model type (e.g., first-touch or multi-touch), and leveraging data to analyze how each channel contributes to conversions, allowing better optimization of marketing spend.

To improve customer retention, I recommend implementing personalized marketing strategies, such as targeted emails based on user behavior. Also, using feedback loops to gather insights from players can help tailor the user experience. Regular communication and developing loyalty programs can effectively foster long-term engagement.

In my previous role, I conducted a deep analysis of customer behavior data, revealing that a significant portion of our users disengaged after the first purchase. I presented these findings alongside retention strategies, leading to the implementation of a loyalty program that significantly improved retention rates.

I align my analyses with business goals by connecting metrics directly to company objectives. This requires regular communication with cross-functional teams to ensure everyone is on the same page and that analytics translate into actionable insights that support overarching business strategies.

A/B testing is crucial in marketing analysis as it allows for empirical data collection on how different strategies perform. By testing variations of campaigns, we can identify what resonates best with the audience and make data-driven decisions to optimize our marketing efforts effectively.

I have extensive experience with CRM tools that facilitate customer interactions and engagement metrics. My familiarity with such platforms has enabled me to analyze user data effectively and develop targeted marketing strategies that enhance retention and improve customer relationships.

When handling large datasets, I prioritize organization and appropriate data cleaning methods to ensure accuracy. I often utilize advanced functions in Excel or data handling features in analytics tools to streamline processing. This helps ensure the data harnesses valuable insights while maintaining clarity and usability.