Marketing & Customer Analytics

Marketing A/B Testing & Experimentation

Apply statistical methods and create an effective test design, all the way from hypothesis to sample sizing & timing to post-test analysis. Optimize marketing campaigns to improve ROAS, acquisition, and conversion rates.

Marketing Mix Modeling

Evaluate the impact of different marketing channels on overall performance to allocate resources in the most effective channels at the right time, to the right person. Apply common techniques like last-touch methods, or more complex methods such as Markov-chain for deeper insights.

Customer Lifetime Value (CLV) Analysis

Estimate the total value a customer is expected to bring to the business over their lifetime. Focus efforts on high-value, long-term customer relationships by personalizing customer targeting. Apply advanced analytics and machine learning methods to predict lifetime value, churn, and attrition.

Customer Journey Analytics

Understand the customer journey funnel from browse-to-purchase, checkout funnel, and acquisition funnel. Identify bottlenecks, areas of high engagement, and bounce rates to optimize the customer experience.

Customer Targeting / Targeted Marketing

Analyze demographics and first party data (eg. Sales/transactions) to tailor targeting to specific audience segments. Delivery personalized content to boost engagement and optimize conversions and marketing efforts.