Adding Company Context

sales/
└── skills/
    ├── call-prep/
    │   └── SKILL.md           ← Add context here
    ├── account-research/
    │   └── SKILL.md           ← Add context here
    └── draft-outreach/
        └── SKILL.md           ← Add context here

## Company Configuration

### Company Profile

- **Company:** Acme Analytics
- **Product:** Real-time analytics platform for product teams
- **Website:** acme-analytics.com
- **Founded:** 2020
- **Target Market:** Mid-market B2B SaaS companies (100-1000 employees)
- **Geography:** North America, expanding to EMEA

### What We Sell

A real-time analytics platform that helps product teams understand user behavior 
without waiting for data warehouse queries. We connect directly to your product 
database and make data available in under 5 seconds vs 30+ minutes with 
traditional BI tools.

### Value Proposition

Product teams ship features 3x faster because they can validate hypotheses in 
real-time instead of waiting for data analysts to run queries.

### Sales Process

**Stages:**
1. Discovery (week 1-2): Understand current analytics setup and pain points
2. Demo (week 3-4): Show product with their data
3. Technical Evaluation (week 5-6): Trial with their team
4. Negotiation (week 7-8): Pricing and contract review
5. Closed Won/Lost

**Average Metrics:**
- Deal size: $50K-$200K ARR
- Sales cycle: 60 days
- Win rate: 35% (measured from qualified discovery to close)

**Qualification Criteria (BANT):**
- Budget: $50K+ annual budget for analytics
- Authority: Need VP Product or Head of Data as champion
- Need: Currently using slow BI tools or spreadsheets for product analytics
- Timeline: Evaluating within 90 days

### Key Competitors

**Primary:**
- **DataCorp:** Legacy BI tool, slower but enterprise-proven
  - Where we win: Speed and ease of use
  - Where they win: Enterprise security compliance

- **FastQuery:** Direct competitor, similar speed
  - Where we win: Better UX and self-service capabilities
  - Where they win: Cheaper for small teams

**Secondary:**
- **Tableau/Looker:** Traditional BI, indirect competitors

### Proof Points

1. **TechStartup Inc:** Reduced time-to-insight from 4 hours to 30 seconds, 
   shipped 2x more features in Q1
2. **SaaSCo:** Entire product team (45 people) now self-service on analytics, 
   freed up 3 data analysts for deeper work
3. **GrowthApp:** Used our real-time data to optimize onboarding flow, 
   improved activation rate by 23%

### Messaging & Tone

**Voice:** Direct and helpful, not overly formal. Talk about impact, not features.

**Good example:**
"We help product teams validate ideas in seconds, not hours. Your team can test, 
learn, and ship faster because the data is always ready."

**Bad example:**
"Our enterprise-grade analytics solution leverages cutting-edge technology to 
provide real-time insights at scale."

### Common Objections

| Objection | How to Handle |
|-----------|---------------|
| "We already have Tableau" | "Great! Tableau is excellent for deep analysis. We're complementary — use us for real-time product decisions, keep Tableau for executive reporting." |
| "Too expensive for our team size" | "What's the cost of waiting 4 hours for every data question? Calculate analyst time saved — usually pays for itself in month 1." |
| "Security/compliance concerns" | "We're SOC 2 Type II certified and support SSO. Happy to connect you with our security team for any specific requirements." |
| "Current setup works fine" | "How many data requests does your team make per week? What if every PM could answer those themselves in 30 seconds?" |

### Decision Makers by Role

- **VP Product / Head of Product:** Primary champion — feels the pain most
- **Head of Data / Analytics:** Technical evaluator — needs to approve data access
- **Engineering VP:** Security/compliance — needs to approve data connection
- **CFO / Finance:** Budget holder for contracts $100K+

### Sales Plays by Trigger Event

**Company raised Series A/B:**
- Angle: "You're scaling the product team — how will analytics scale with you?"
- Urgency: New hire onboarding, need self-service tools

**Hired new VP Product:**
- Angle: "New leaders want data-driven decisions from day 1"
- Urgency: First 90 days, making their mark

**Competitor mention (using slow BI):**
- Angle: "What if your team didn't have to wait for queries?"
- Urgency: Frustration with current tools

## Company Configuration [CUSTOMIZE]

## Outreach Settings

- My name: [Your Name]
- My title: [Your Title]
- My company: [Company Name]
- Value prop: [One sentence - what you help with]

## Signature
[Your preferred email signature]

## Proof Points
- [Customer 1]: [Result]
- [Customer 2]: [Result]
- [Customer 3]: [Result]

## CTA Options
- Default: "Worth a 15-min call?"
- Softer: "Open to learning more?"
- Specific: "Can I send over a quick demo?"

## Tone
- [Professional / Casual / Direct]
- Industry-specific language: [Yes/No]

## Outreach Settings

- My name: Sarah Chen
- My title: Account Executive
- My company: Acme Analytics
- Value prop: We help product teams make data-driven decisions in real-time 
  instead of waiting hours for queries

## Signature
Sarah Chen
Account Executive, Acme Analytics
[email protected]
555-0123

## Proof Points
- TechStartup Inc: Reduced time-to-insight from 4 hours to 30 seconds
- SaaSCo: 45-person product team now self-service on analytics
- GrowthApp: Improved activation rate by 23% using real-time data

## CTA Options
- Default: "Worth a quick call to see if this fits your workflow?"
- Softer: "Open to learning how other product teams are doing this?"
- Specific: "Can I show you how this works with your data?"

## Tone
- Casual but competent — talk to PMs like peers, not prospects
- Use product terminology: features, activation, funnels, cohorts
- Avoid: enterprise speak, buzzwords, anything salesy

## Company Configuration

### Target Customer Profile

**Industry:** B2B SaaS, e-commerce platforms, fintech
**Company Size:** 100-1000 employees, $10M-$100M revenue
**Tech Stack:** Modern cloud stack (AWS/GCP), using Snowflake/BigQuery
**Buying Signals:** 
- Recently raised Series A/B funding
- Hiring product managers or data analysts
- Job postings mentioning "data-driven" or "analytics"

### Disqualifiers

- Under 50 employees (too small)
- Using spreadsheets only (not analytics-mature)
- Enterprise (1000+ employees, need enterprise sales)

## Company Configuration

### Your Company
- **Name:** Acme Analytics
- **Product:** Real-time analytics platform
- **Positioning:** Fastest analytics tool for product teams

### Your Competitors
1. **DataCorp** (primary)
   - Their strength: Enterprise compliance
   - Our counter: "We integrate with their security model, plus we're 10x faster"

2. **FastQuery** (primary)
   - Their strength: Lower price for small teams
   - Our counter: "Calculate analyst time saved — we pay for ourselves in month 1"

3. **Tableau/Looker** (secondary)
   - Their strength: Established BI market leader
   - Our counter: "Complementary — keep them for executive dashboards, 
     use us for real-time product decisions"

### Discovery Questions

1. What analytics tool do you use today? 
   (Qualify: If "Excel only", probably too early for us)
2. How many product managers need access? 
   (Size the deal: <10 = $50K, 10-30 = $100K, 30+ = $150K+)
3. How long does it take to answer a product question today?
   (Establish pain: We're valuable when current time >1 hour)

### Discovery Questions

1. What are your pain points?
2. What's your budget?
3. When do you want to buy?

## Company Configuration

### Company Profile
- **Company:** [Your company name]
- **Product:** [One-sentence description]
- **Target Market:** [Who you sell to]
- **Value Proposition:** [Why customers buy]

### Sales/Support/Product Process
[Your specific workflow stages and criteria]

### Key Differentiators
[What makes you different from alternatives]

### Proof Points
1. [Customer example 1]
2. [Customer example 2]
3. [Customer example 3]

### Common Scenarios
[How to handle typical situations]

### Messaging & Tone
[How to communicate — with good/bad examples]