We collaborate with you to bridge the gap between Go-to-market/ Commercial operations and Artificial Intelligence. At the same time, we build your team's skills. The result is that your organization can continuously improve commercial performance, well after our work together is complete.
See Our Difference for more on how we uniquely create value
Go-to-Market Strategy
Customer & Channel Strategy: Product strategy, customer segmentation, balancing acquisition & retention, channel roles, and optimization.
GTM Operating Model: Governance, culture, structure, process, technology, data & analytics, and KPIs.
Customer Experience: Enhance customer experience across marketing, sales and service to drive brand loyalty.
Marketing in the Middle
Marketing Strategy: Agile positioning, targeting, and personalization plans for consumer-centric businesses.
Marketing Operations: Optimize end-to-end marketing output with GenAI/LLMs and Intelligent Automation.
Performance Marketing: Focus on marketing outcomes over activities to ensure competitiveness.
Revenue Operations: Integrate marketing, sales, and customer success with a focus on lead management.
Sales & Marketing Alignment: Balance between sales and marketing, enhanced by AI-driven sales strategies.
Sales Management: Implement strategic selling methods, training, reporting, and incentive management.
Sales Driven
Technology Architecture & Data Management
Enterprise Architecture: Develop agile GTM technology roadmaps with composable architectures and suites.
Data Strategy & Architecture: Utilize 1st, 2nd, and 3rd party data for to support advanced commercial stacks and analytics.
MLOps: Optimize machine learning operations for marketing, sales, and customer experience teams.
Commercial Data & Analytics
Strategic Analytics: Address GTM strategy questions like Lifetime Value and Segmentation with AI & Analytics.
Operational Analytics: Utilize predictive and prescriptive analytics for supervised or automated decision-making.
Experience Analytics: Focus on journey analytics to enhance channel strategy and omnichannel execution.
Quantitative Methods: Conduct brand trackers, surveys, MaxDiff, ad testing, NPS/CSAT, and conjoint analysis.
Qualitative Research: Perform interviews, ethnographic studies, focus groups, content analysis, user observation and testing.
Neuroscience-based Research: Gain insights into cognitive processes and subconscious decision-making.
Research Driven Commercial
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