Shivam Kulkarni

-Improved lead scoring logic across HubSpot and Salesforce, helping regional teams align on MQL/SQL definitions. -Maintained CRM segmentation across 5+ countries, enhancing data consistency and lead tracking. -Automated lead nurturing flows with Adobe Campaign and HubSpot, integrating email workflows with behavior-based triggers. -Conducted behavioral analytics on 1,000+ contacts per campaign to improve open rates, CTRs, and lead velocity. -Standardized CRM hygiene processes, enabling reliable reporting and data handoff to sales teams.

-Launched and managed 4 Amazon storefronts using data-driven layouts, content grids, and targeted banners. -Conducted SEO audits and implemented keyword-rich product titles, improving organic search visibility. -Used Amazon Store Insights and Salesforce to monitor click-through rates, page views, and bounce metrics. Managed paid search campaigns with Google Ads, improving product visibility on competitive ASINs. -Built performance tracking dashboards in Excel and Power BI to support weekly e-commerce strategy meetings.

-Created marketing briefs and led the execution of A/B-tested campaigns across Google Ads and social media, managing a $10K/month paid media budget. -Optimized CPA and improved ROI through real-time bid adjustments, geo-targeting, and performance-driven creative decisions. -Improved on-page SEO by enhancing metadata and keyword targeting, analyzed traffic behavior via Google Analytics, and drove higher conversions. -Collaborated with global marketing teams to design and localize ad creatives, increasing click-through rates (CTR) across markets.

-Developed dynamic dashboards in Power BI and HubSpot to monitor cross-channel marketing ROI, leading to more efficient campaign performance tracking. -Used Salesforce to identify and escalate high-potential Marketing Qualified Leads (MQLs), reducing response time and increasing sales alignment. -Conducted data analysis to uncover consumer behavior trends and optimized ad placements, increasing campaign response effectiveness.

-Automated daily reporting on customer behavior and support KPIs using Python and SQL (ETL scripts, queries). -Developed 10+ Tableau dashboards for product usage, churn prediction, and NPS performance across regions. -Analyzed structured and unstructured data from CRM and support tickets to identify common user pain points. -Worked with Excel-based models for monthly business reviews and market opportunity analysis. -Partnered with the customer success team to build datasets used in 3 major process improvement projects.