About the role

The role is responsible for driving cross-selling initiatives by maximizing user engagement and adoption across Careem’s multiple verticals.

The role holder will leverage strategic insights, advanced data analytics, and a deep understanding of consumer behavior to create and implement targeted cross-sell strategies focused on maximizing CLTV and AOV across different Careem verticals

What you'll do

Cross-Sell Strategy Development:

• Lead the design and execution of highly targeted marketing initiatives that promote multi-vertical adoption among Careem users.
• Utilize robust analytics and market research to identify and act on cross-selling opportunities, drive recommendations and build strategies that are tailored to audience behavior, regional nuance and unique strength of each verticle

User Engagement and Journey Optimization:

• Map and optimize the customer journey to drive cross-vertical adoption, focusing on frictionless transitions between verticals like food delivery, groceries etc.
• Analyze user behavior to pinpoint drop-off and friction areas, ensuring seamless experiences through cross-functional collaboration with Product, CRM, and Ops
• Develop personalized in-app nudges and recommendations tailored to user segments, promoting cross-sell behavior and deeper engagement.
• Implement lifecycle marketing strategies to nurture customers into becoming multi-vertical users.

Performance Analysis and Growth Hacking

• Lead the Exploratory Data Analysis (EDA), A/B testing and predictive analytics to uncover trends, patterns, and initial insights at user level
• Track and iterate on north star metrics like cross-sell conversion rate, CLTV, and engagement metrics.
• User Behavior Analysis: Leverage user segmentation and behavioral data to design personalized cross-sell offers and experiences.

• Lead initiatives to unlock exponential growth and cross-selling rates by building scalable attribution models and developing cohort specific user journeys
• Engage with regional marketing teams to understand regional nuances and ensure relevance across different markets
• Use behavioral and transactional data to identify cross-sell triggers, refine targeting, and drive campaign performance.

Reporting and Insights

• Build dashboards and performance reports to track cross-sell impact, providing actionable insights for stakeholders.
• Continuously assess the effectiveness of campaigns and strategies, recommending improvements based on data and user feedback

What you'll need

• Bachelor’s or Master’s degree in Marketing, Engineering, Data Science, or a related field
• 4-6 years of experience in growth marketing, cross-selling or lifecycle management within a tech-first multi-verticle organization and/or large Scale B2C startup (Food delivery, e-commerce, gaming)
• Prior experience of handling P&L responsibilities for a multi-vertical setup

• Well versed in data mining, statistical modeling and advanced data analysis

• Strong hold of Python, SQL and data visualization tools (Power BI, VBA, Tableau) and Powerpoint

• Strong understanding of A/B Testing, Regression Analysis, User Segmentation, Cohort analysis and churn/attrition modeling, CLTV models

• Demonstrated experience in applying behavior analytics principles to growth models
• Familiarity with machine learning models for growth prediction and user segmentation is a plus.