Geo-analysis was used to determine digital marketing effectiveness for key B2B customers. This influenced both growth and retention strategies and helped inform how we optimized $40MM brand budget.

This analysis helped to understand which mobile devices customers used to access the regular and mobile websites. These insights helped inform user experience design for the the most popular devices and reduced the time to perform user testing by 80%.

This time series analysis was used to understand different audiences' interaction patterns. This helped inform when daily investment balance updates were given to website and mobile users. By moving the update time by 1 hour we improved overall customer satisfaction by 1.5%.

Analyzed customer journeys across channels and pages. Used to understand common paths, identify pain points, and determine best opportunities to reach customers and prospects.

Analyzed web properties to evaluate the performance of the assets. Used to understand which assets are performing and which ones are not successful. Used these insights to improve the performance of the pages which improved conversion for all relevant campaigns by an average of 10%.

Individual customer data was examined to determine patterns of behavior across channels that helped inform models to predict and avoid fraud.

Key Performance Indicator dashboard was developed to track ongoing performance across multiple dimensions. Was used to identify drivers of success as well as underperforming areas. This is a key decision support tool that ultimately helps ensure outcomes are achieved and investments are appropriately allocated.

Funnel analysis was used to identify and diagnose conversion failures and opportunities for improvement.

Developed diagnostics dashboards to proactively identify points of failure and alert decision-makers of opportunities in near real-time.

Developed KPI Summary dashboard to summarize performance for executive management team.

Developed KPI summary dashboard to summarize performance and gain alignment across wide array of key decision-makers.

Assessed current data capture and decision models. Used to communicate how data collection, models, and tests inform the customer experience.