Mack is a B2B sales expert with P&L experience who helps create revenue inflection points through sales execution. His sales leadership experience spans 20+ years in public and private companies, overseeing enterprise sales, go-to-market, growth scaling, channel sales & business development. Mack specializes in sales execution issues & scaling high-performing sales engines. His challenges sales teams to find their inner brilliance and adopt a pro-growth mindset that has been proven to dramatically increase sales performance. He is a frequent guest speaker on podcasts like The Brutal Truth about Sales by Brian Burns and B2B Growth by Jonathan Green, and has addressed audiences in the US , France, Spain, Germany, Australia, Japan, India and Dubai. Mack also works with Prof. Len Lodish & Prof. Stewart Friedman at The Wharton School on sales leadership, yield productivity and “maximizing revenue with the same resources”.

Mack’s Practice Areas – Funded hyper-growth startups to global market leaders

• Lack of revenue inflection points – not enough growth or the right kind of growth or sales turnarounds
• Execution challenges playbooks & forecasting, unstructured process, lumpy sales, mapping team competencies to strategy
• Identifying the right sales data to laser-focus on, execute the key drivers (highest ROI areas) for revenue maximization
• Revenue analysis & modeling (e.g. growth baselining), segmentation, CLV growth, sales comp modeling & roll-outs

Sat Miller (She/Her/Ella) is a hybrid of a Data Scientist, and a Customer Experience (CX) practitioner focused on predictive analytics. She applies modern data science to solve real-world business hypotheses and problems. Her goal is to help clients make decisions with confidence with actionable insights, as opposed to conducting experimental exercises. Sat teaches Data Storytelling with Effective Visualization ( ITS-8425) at Stanford University. As an advisory Council member for Big Data Program at California State University – East Bay, she helps affiliate companies build predictive models for SaaS subscription optimization.

Sat’s Practice Areas – Statistical Survey Methodologies and Business Analytics with a consistent record of increasing revenue through data science, market intelligence, partner insights and consumer insights

• Leveraging and enriching existing data to gain insights - transform massive information into actionable insights for better decision making and increased business results.
• Increasing ROI of Customer Experience effort - create and maintain competitive advantage by building greater trust throughout customer journey, strengthening customer loyalty and ultimately increasing revenue.
• Building analytics muscle building stellar cross-functional Analytics capabilities to consistently gain higher customer loyalty and retention.