Ayush Ajay

Analysed underperforming accounts and optimised Google Ads campaigns, improving lead quality and conversion efficiency.
Evaluated customer acquisition funnel via client interactions, identifying value proposition gaps, improving conversion rate by 4%.
Tracked campaign and engagement metrics to generate actionable insights and support data-driven decisions.
Mentored 2 interns on sales tracking and client management, improving execution consistency.

Consolidated campaign data from multiple MMPs by building Power BI dashboards, enabling real-time performance tracking.
Performed data validation and reconciliation, resolving ₹50K+ discrepancies and improving reporting accuracy.
Analysed campaign performance metrics, KPI and delivered structured reports to support revenue optimisation decisions.
Maintained large datasets and streamlined workflows, reducing reporting errors and improving operational efficiency.

Conducted market analysis of AI and cybersecurity firms, generating insights to inform product positioning and pricing strategy.
Developed a B2B white paper using data-backed research to support lead generation and client advisory initiatives.
Designed LinkedIn campaigns using A/B testing and segmentation, increasing qualified inbound leads by ~25%.
Collaborated with cross-functional teams to align research insights with business strategy.

Conducted market, pricing, and logistics analysis to define go-to-market strategy for a new FMCG vertical.
Evaluated sales channel economics and identified a D2C opportunity, increasing projected margins by ~15%.
Built an ERPNext-based e-commerce platform, reducing third-party commission costs by ~18%.
Monitored inventory and logistics data to improve operational visibility and execution efficiency.