Pooja P Email and Phone Number

As a consultant specializing in digital technology, I was responsible for overseeing the complete implementation process of Tag Management, Analytics, Campaign, and Optimization (A/B Testing) for newly launched product pages.Constructed the data and reporting infrastructure from scratch using Power BI and SQL, enabling real-time insights into product performance, marketing funnels, and key business indicators.Devised and executed A/B experiments for products, resulting in a 75 basis point increase in conversion rate and a 22 basis point reduction in churn.By utilizing Adobe Analytics, Adobe Target, and Google Analytics and identified areas of customer friction along the e-commerce path, such as checkout application efficiency, dropouts, time spent on fields/pages, customer flow, design issues, and error rates.Developed a logistic regression model that aided the SEO team in determining the most effective keywords to target, leading to an 11% year-over-year increase in organic traffic.Leveraging Adobe Analytics, Adobe Target, and Google Analytics, I evaluated the success of Shein.com call-to-action (CTA) placements and engagement funnels, segregating them based on areas of customer friction and confusion.Established and managed Google, Adobe, and Content square tags on Telus.com/App pages, defining key performance indicators, identifying crucial data to collect, determining tracking needs, and mapping dimensions and metrics onto each page.Created a Solution Design Document, outlining the data layer framework and gathering configuration and page variables.Designed the Analytics SDR (Solution Design Reference), defining evars, props, and event processing rules, and implemented them using a dynamic tag manager.Responsible for designing and executing multi-channel campaigns (email, social media, affiliates) using Adobe Campaign.Developed a data model and extracted data from the Analytics database to the Teradata reporting database.

Conducted in-depth analyses by integrating online data from various cross-channel analytics platforms, including Google Analytics and Adobe Analytics, with offline data, resulting in valuable insights and actionable recommendations.Explored different user behaviors through A/B and multivariate testing, leading to notable improvements in conversion rates and return on investment (ROI).Collaborated closely with the product manager to conduct cohort analysis, which revealed an opportunity to reduce pricing by 25% for a specific user segment, resulting in a projected yearly revenue increase of $275K.Identified areas for procedural enhancement through customer data analysis, utilizing SQL to contribute to an 10% improvement in the profitability of a nationwide retention program.Analyzed, documented, and presented findings from user surveys, contributing to a 19% improvement in customer communication processes.Utilized data visualization techniques to identify bottlenecks and successfully reduced customer's navigation time through the support channel by 10 minutes.Executed various database activities, such as enriching work tables, performing database backups, generating, importing, and deploying packages.Spearheaded the development of a Business Management System, aimed at streamlining 8+ business critical reports.Defined the scope of the project, created a one-year project roadmap, and acted as the main point of contact, coordinating with 6 teams throughout the development process.