sandbox
Get inside your buyer's head
The best way to know what content you need to provide and when is to consider the buyer's perspective at each stage. The types of questions they ask may vary depending on their role in the company, but most fall into three categories around: 1. Defining the problem they're experiencing. 2. Exploring what solutions exist, and 3. Identifying a provider with the best fit solution for them.Click the question marks for examples.
- How can we reduce failure/unplanned downtime?
- What are the alternatives to our current, expensive, or outdated system?
- Why are we experiencing higher defect rates, and how can we fix them?
- How can we optimize our production capacity?
- What are the new environmental or safety regulations impacting us?
- What are the technical specs of this equipment?
- Does this supplier have the necessary ISO or safety certifications (e.g., CE, UL)?
- Can this material handle our required tolerances, pressure, or temperatures?
- What do technical papers or industry case studies say about this solution?
- How does this solution compare in terms of efficiency, speed, or cost-per-unit?
- How does this solution compare in terms of efficiency, speed, or cost-per-unit?
- What is the total cost of ownership (TCO) compared to competitors?
- What kind of service, support, and spare parts availability do you offer?
- Can they provide references or testimonials from similar manufacturers?
- What is the specific ROI calculator/payback period for this investment?
- What are the lead times for delivery, installation, and commissioning?
- Is onsite training, installation support, or a demonstration available?
- What are the payment terms, warranty details, and return policies?
- Who is the dedicated technical support contact?
- Are there any hidden costs (e.g., installation, maintenance contracts)?
The 4-Step Framework
Step 1 Output Example:
Buyer Role + ICP Context Snapshot
Industry Segment: Mid-Size Ski Resort (North America)
Business Model: Seasonal operations with revenue tied to snow reliability
Operating Constraints:
- High energy usage
- Labor-intensive production
- Weather-dependent timelines
- Capital equipment lifecycle: 10–20 years
Offering Context:
Snowmaking equipment + automation system
Title: Mountain Operations Director
Primary Responsibility: Oversee snow production efficiency and reliability across the resort
Level of Authority: Operational decision influencer / technical evaluator
KPIs:
Snow quality consistency
Energy consumption
Labor efficiency
System uptime
Coverage reliability
Primary Concerns:
Operational control
Predictable performance
Long-term ROI
Ease of integration
Vendor reliability
Confidence Builders:
- Demonstrated performance gains
- Clear implementation timeline
- Compatibility with existing systems
- Responsive vendor support
Common Hesitations:
- Integration risk
- Staff training requirements
- Capital investment approval
- Disruption to current operations
Early Understanding Stage:
- Is our current system limiting performance?
- Are competitors producing more efficiently?
- Is automation worth exploring?
Evaluation Stage:
- What measurable gains can we expect?
- How difficult is installation?
- What training is required?
- Will this integrate with existing infrastructure?
Decision Stage:
- Can this investment be justified internally?
- Will this reduce long-term operating costs?
- Is this vendor stable long-term?
- What risks remain?
Step 2 Output Example:
Materials Inventory + Design Evaluation
Website Pages Reviewed:
- Product overview pages
- Automation system landing pages
- Support documentation
Collateral Reviewed:
- Sales presentation
- Technical brochures
- Trade show one-pagers
- Customer reference materials
Clarity Observations:
- Technical specifications emphasized early
- Business value communicated later in materials
Hierarchy Observations:
- Key benefits often appear after feature lists
- Implementation process not consistently explained
Branding Application:
- Logo usage varies across brochures and presentations
Typography:
- Multiple font families used without consistent hierarchy
Layout Structure:
- Information density varies significantly between materials
Missing early-stage overview of automation benefits:
- Limited comparative performance documentation
- No decision-stage ROI summary
Step 3 Output Example:
Buyer Journey Materials Map
Buyer Questions:
- Is our current system limiting performance?
- Is automation worth exploring?
Supporting Materials Needed:
- High-level automation overview
- Operational efficiency summary
- Introductory system explainer
Buyer Questions:
- What measurable gains can we expect?
- How difficult is installation?
Supporting Materials Needed:
- Technical brochures
- Implementation timeline
- Case studies
Buyer Questions:
- Can this investment be justified internally?
- Will this reduce long-term operating costs?
Supporting Materials Needed:
- ROI justification summary
- Performance comparison
- Executive overview
Step 4 Output Example:
Strategic Design + Execution Summary
- Simplify presentation of technical specifications
- Emphasize operational and financial outcomes
- Clarify implementation process
- Introduce consistent messaging hierarchy
- Reorganize product pages for buyer journey stages
- Align collateral formats across use cases
- Consistent typography across materials
- Standardized layout templates
- Improved visual hierarchy
- Website architecture aligned to buyer needs
- Collateral redesigned for clarity and continuity
- Improved consistency across touchpoints
Trails
| Snow type | Density (lb/ft³) | Water/acre-ft (gal) | Loss factor | Adjusted (gal) |
|---|---|---|---|---|
| Dry | 24 | 125,400 | 45% | 182,000 |
| 26 | 135,800 | 40% | 190,000 | |
| Medium | 28 | 146,300 | 35% | 198,000 |
| 30 | 156,700 | 30% | 204,000 | |
| Wet | 32 | 167,200 | 20% | 201,000 |
For system capacity calculations, Torrent recommends 200,000 gal per acre-ft of snow.