Magic Layer is a research and analytics agency that specializes in marketing research and analytics. We turn predictive analytics into stories that marketers can be confident in, easily comprehend, and use to create winning strategies.

- Managed team of five, and mentored fifteen, analysts. - Defined and standardized solutions that achieve client success and maintain team utilization.- Pitched new business; including, all stages of RFP, scope definition, presentations, SOW creation, and staffing.- Perfected the creation of client presentations that tell a story with data that empower non experts to take action.- Prioritized all discovered experience design, conversion optimization, and personalization prescriptive recommendations by impact and difficulty.- Led a data driven integrated discovery team consisting of Analytics, UX, Design, and Content Strategy to create a research justified POC for the most critical ecom path. - Discovered optimal customer personas by integrating attitudinal, behavioral, and demographic data for ecommerce, lead gen, B2B, and intranet clients.- Productionalized and optimized probabilistic approach to digital experience personalization based on personas for all sessions, starting on the first page of the first visit.- Optimized audience prediction for a top TV advertising processor, which increased prediction accuracy by 12% across seven channels with thirty demos each.- Created personalized lesson plans for top video platform education portal based on real time channel statistics, which increased lesson page interaction by 70% and sessions per user by 64%.

- Integrated external data with Omniture to link online and offline behavior and developed a regression model to predict offline script revenue with online KPIs, which resulted in a 433% increase in conversion. - Recommended an orphan drug acquisition for a top pharmaceutical company based on the entire rare disease, orphan drug, and related advocacy organization marketplace. 15 models were built and combined, indexing hundreds of variables weighted by business rules, and accounting for the subjectivity and quantitative calculations of those business rules within the models.- Determined key issues for internal executive focus, and identified seasonality patterns for revenue goals, based on six years of agency financial data.

- Analyzed web metrics and provide actionable recommendations for a variety of Fortune 500 companies in the Pharmaceutical, Consumer Packaged Goods, Insurance, and Financial Services verticals.- Optimized an Omniture Solution Design Doc to provide more detailed reporting while using fewer variables.- Controlled for differences in spend and time a promotion was live to demonstrate that the promotion attracted a smaller amount of traffic over a longer period of time and resulted in a decrease in “cost per” metrics of 32% (both of which were goals of the promotion).- Created, managed, and optimized paid search campaigns; including, ads, landing pages, and callout performance. One campaign saw, after six months, a 590% increase in leads while decreasing the cost per lead by 18%.- Google Advertising Professional.

- Analyzed web metrics and provide actionable recommendations for a variety of Fortune 500 companies in the Pharmaceutical, Consumer Packaged Goods, Insurance, and Financial Services verticals.- Optimized an Omniture Solution Design Doc to provide more detailed reporting while using fewer variables.- Controlled for differences in promotional spend and timeframe to demonstrate a successful ramp up of traffic over time at a cheaper rate (“cost per” metrics decreased 32%) compared to the previous year.- Created, managed, and optimized paid search campaigns; including, ads, landing pages, and CTA performance. One campaign saw a 590% increase in leads while decreasing the cost per lead by 18%.- Earned Google Advertising Professional status.