New Market, No Targeting Methodology
A top-five global agriculture humidification company was entering the US market with no methodology to identify ideal accounts. Their product impacts users differently based on equipment and processes, making broad targeting useless. Sales was splitting time between prospecting and installation, and their multilingual CRM was chaos.
Deep Industry Intelligence Mapping
We conducted 12+ deep research sessions per industry, built custom knowledge bases, and used AI-powered segmentation to identify keywords and methodologies specific to each sub-segment. Discovered 8 distinct sub-categories within print alone, plus additional agriculture sub-segments.
- Custom knowledge bases for each industry vertical
- AI-powered segmentation by process and equipment type
- 16+ sub-segment identification across agriculture, PCB, automotive, print
- Hyper-personalized positioning by pain point per industry
Market Entry at Scale
Transformed a chaotic market entry into a structured pipeline machine. Refined 1.2M companies down to 2,000 ideal accounts and generated $2M+ pipeline projecting to $4-6M consistent flow.
6 months
Phase Breakdown
Month 1-2: Deep industry research and knowledge base creation
Month 3: Sub-segment identification and list refinement
Month 4-6: Campaign deployment across 16+ segments
How We Did It
Industry Knowledge Mapping
Conducted 12+ deep research sessions per industry to build custom knowledge bases for agriculture, PCB, automotive, and print.
AI-Powered Segmentation
Used AI to identify process-specific keywords and methodologies, discovering 16+ distinct sub-segments.
Market Refinement
Narrowed 1.2M companies to 9,000 mapped accounts, then 2,000 focused exclusively on ideal-fit opportunities.
Hyper-Targeted Campaigns
Created industry-specific messaging for each sub-segment: ink head costs for print, yield improvement for agriculture, precision control for PCB.
Ready for results like these?
Book a strategy call to see how situation-based outbound can transform your pipeline.