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Nohyun Myung
Vp Of Applied Data Science, Machine Learning, And Ai at Mperativ
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Work Experience
Vp Of Applied Data Science, Machine Learning, And Ai
Present
Company Details
11-50 Employees
Achieving successful marketing analytics and revenue attribution hinges on a meticulously crafted strategy, a well-defined lead plan, and measurable KPIs that serve as benchmarks for success. Unfortunately, existing vendor analytics and attribution solutions have often operated in isolation from the overarching go-to-market strategy, making it challenging to convey the impact of marketing at the executive level. Enter Mperativ, a groundbreaking revenue marketing platform designed to operationalize your end-to-end marketing strategy and bridge the marketing credibility gap. Founded by the visionary marketing duo Jim McHugh and Daniel Raskin, the Mperativ platform incorporates our Trusted Marketing Credibility Framework principles. The Mperativ platform provides: Demand Engine Visibility: Integrate Mperativ with your martech stack for instant visibility across your demand engine. Fiscal Objectives: Translate your fiscal year plan into quarterly objectives to track how you're doing so you can mitigate any problems along the way. Leads and Account KPIs: View lead- and account-based views of the demand engine, improving your understanding of the number of companies and individuals engaged. Contribution: Gain insight into the go-to-market activities driving new account acquisition and consistently evaluate marketing performance relative to fiscal year objectives. Revenue Attribution: Communicate ROI and marketing influence using multi-touch attribution, pinpointing the key activities driving pipeline creation, sales acceleration, and deals won. Customer Journey: Visualize every touch in the customer journey and reveal which activities drive pipeline, revenue, and ROI. Elevate your marketing game with Mperativ, where strategy meets execution seamlessly.
Year Founded
2021
Social Media
LinkedinTwitter
Industry
Business Intelligence Platforms
HQ Location
San Francisco, California 94114, US
Keywords
Machine LearningAIMarketing analyticsData VisualizationsAttributioMarTechRevOpsRevenue OperationsMarketing OperationsMOPS
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