Tejas Singh

Leveraged SQL and Excel to analyze multi-channel campaign data and identify optimization opportunities, leading to a 20% increase in ROI within two quarters and better resource allocation. Developed interactive Tableau dashboards to track key KPIs, reducing reporting time by 35% and improving accessibility for stakeholders. Led A/B testing initiatives across email campaigns and landing pages, achieving a 15% increase in lead conversions and a 10% reduction in bounce rates. Implemented audience segmentation strategies to personalize campaign messaging, resulting in a 22% increase in email engagement rates and higher qualified leads. Collaborated with Product and Growth teams to improve user journey touchpoints, driving a sustained 16% quarter-over-quarter retention improvement and increased customer lifetime value.

Built attribution models to evaluate channel performance, enabling budget reallocation and improving marketing efficiency by 15%. Used SQL and Google Analytics to pinpoint funnel drop-off points, leading to UX enhancements that boosted trial-to-paid conversions by 10% and extended customer lifetime. Conducted competitive analysis of over 15 industry players to guide go-to-market strategies, contributing to a product launch that exceeded adoption targets by 30%. Generated cohort analysis reports on customer lifetime value and churn, providing insights that informed pricing and upsell campaigns.

Integrated data from CRM, marketing automation, and analytics platforms to produce unified campaign performance reports that improved decision-making. Collaborated with growth and paid media teams to optimize ad targeting and bidding, reducing cost-per-lead by 22% within six months. Provided monthly marketing insights and forecasts to executive leadership to align marketing with revenue goals. Streamlined lead tracking workflows by standardizing data taxonomy across platforms, increasing attribution accuracy and accelerating reporting turnaround by 35%.