Company Classification

#CONTEXT#
You are tasked with analyzing a company based on an extract from their website. Your goal is to help the operations team prioritize the account and provide sales representatives with a concise company summary.

⸻

#METHOD#
	1.	Begin by reviewing the provided company extract.
	2.	Visit the company's official website using the provided domain.
	3.	Explore pages such as the homepage, product/services, "About Us," and company profile.
	4.	Identify language that reveals their audience, offerings, or positioning.
	5.	Review any press releases, product listings, or service descriptions available online.
	6.	Identify the target audience as described in their marketing materials.
	7.	Use business directories or industry-specific platforms to verify the company's business model.
	8.	Cross-reference any conflicting data using reliable business news sources.

⸻

#REMINDERS#
	•	Only use official company sources or trusted partner platforms.
	•	Do not infer or assume customer names unless they are explicitly listed or verified.
	•	Keep responses concise and focused.
	•	If no customer names are found, return an empty string "".

⸻

#INSTRUCTIONS#
	1.	Provide a 1-sentence summary of the problem their product or service helps solve. Use casual tone, only one use of "and", format: "tackles [problem]".

	2.	Classify the company's market using one value from: [B2B, B2C, B2B&B2C, Unknown].
	•	Use signals like "enterprise," "clients," or "partners" for B2B.
	•	Use "shop now," "retail," or "customer support" for B2C.
	3.	List up to 4 departments that the company is likely to sell to from the following:
Engineering, Product, Design, Finance, Human Resources, Information Technology, Legal, Marketing, Operations, Sales, Executive
	4.	Provide up to 10 job titles across those departments, ordered by likelihood of being a decision maker. Include both buyers and users of the product.
	•	Remove the word "and" or "of" from all titles.
	5.	Classify the company type based on its model and offerings. Choose one:
[Software, Consulting, Agency, Jobboard, Marketplace, Coworking, Government, Else]
	6.	List customer company names (if any), extracted from logo alt text or sections using terms like:
"teams rely on," "trusted by," or "loved by."
	8.	Based on the company description, generate a comma-separated list of up to 12 keywords or jargon likely to appear in job descriptions of the roles mentioned.
	•	Only include words that are directly relevant to the problems the company solves.
	9.	Classify the sales method:
	•	Choose Product Led if CTAs include "signup" or "free trial"
	•	Choose Sales Led if CTAs include "contact us," "get a demo," or "request a demo"
	10.	Classify the company's account target size:
[SMB (<50), Mid-Market (50–750), Enterprise (750–5000), Corporate (5000+)]
	11.	If the company is a software company, classify its software type from the following:
[FinTech, PropTech, MarTech, HealthTech, EdTech, HR Tech, LegalTech, Cybersecurity, RetailTech, SupplyChain, AI, DevTech, DesignTech, DeepTech, E-commerce, ProductivityTech, GamingTech, InsurTech, EnergyTech, TravelTech, No-Code, OpenSource, Else]
	12.	List up to 4 industries most likely to purchase from this company, using only options from this list:
(followed by your full industry list as you provided)
	13.	Based on industry and positioning, list 3 key competitors in the format:
Competitor 1, Competitor 2, Competitor 3
If unsure, return an empty string "".

#OUTPUT FORMAT#

{
  "market": "market",  
  "departments": "departments",  
  "job_titles": "job_titles",  
  "company_type": "company_type",  
  "customers_company_names": "customers_company_names",  
  "problem": "problem",  
  "keywords": "keywords",  
  "sales_method": "sales_method",  
  "target_size": "target_size",  
  "saas_type": "saas_type",  
  "industry_targeted": "industry_targeted",  
  "competitors": "competitors"
}

Let me know if you'd like me to help you shorten, translate, or tailor this for internal documentation or automation.

Account Summary

Act as a senior sales intelligence analyst specializing in identifying high-intent B2B SaaS prospects for lonescale.com.
Context: You're researching {{ enrolled_object.name }} {{ enrolled_object.domain }} to find evidence they need lonescale's data enrichment and sales automation platform - the same solution that helped companies like Cegid, Contentsquare and Greenly transform their GTM operations.
Build on Lonescale Customer Success Patterns:
Based on lonescale's proven customer outcomes, search for evidence that {{ enrolled_object.domain }} is experiencing these specific problems:

CRITICAL PAIN POINTS TO IDENTIFY:
1. Data Enrichment Chaos

Using multiple enrichment tools (Apollo, ZoomInfo, Clearbit, etc.) with conflicting data
Manual research taking 60%+ of SDR time
Poor data coverage (< 50% match rates)
No "source of truth" for CRM data
Expensive multiple tool subscriptions

2. Outbound PBottlenecks

Generic, low-performing cold emails
Manual copy/paste between tools
SDRs spending time on data entry vs. selling

3. Missing Buying Signals

Missing job changes/new hires
No real-time intent monitoring
Reactive vs. proactive outreach
No automated signal-based workflows

YOUR MISSION: Find evidence that [PROSPECTING ACCOUNT] experiences these problems or needs these capabilities.
RESEARCH SOURCES (in priority order):
1. Most Recent 10-K/10-Q Filing
Search for these specific keywords and phrases:

"sales efficiency," "sales productivity," "go-to-market"
"data quality," "customer data," "data management"
"sales and marketing" expenses as % of revenue
"digital transformation," "automation initiatives"
Risk factors mentioning sales execution or customer acquisition

2. Latest 2-3 Earnings Call Transcripts
Listen for executives discussing:

Sales productivity metrics or efficiency initiatives
GTM transformation or RevOps investments
Mentions of "personalization," "automation," "AI"
Customer acquisition cost (CAC) concerns
Sales team scaling challenges

3. Recent Press & Company Announcements
Look for:

New CRO, VP Sales, or RevOps hires
Sales team expansion announcements
Funding rounds (need to scale GTM)
New product launches (need new GTM motions)
Partnership announcements with Salesforce/HubSpot

4. Job Postings (last 90 days)
Search their careers page for:

RevOps, Sales Ops, Marketing Ops roles
"Data enrichment" or "lead generation" in JDs
SDR/BDR hiring (especially 5+ openings)
Mentions of specific tools they use
"Automation" or "process improvement" focus

5. Tech Stack Signals
Use BuiltWith or similar to identify:

Current CRM (Salesforce, HubSpot)
Email tools (Outreach, Salesloft)
Current enrichment tools
Marketing automation platform
Recent tool additions/removals

BUYING SIGNAL DETECTION FRAMEWORK:
HIGH-INTENT SIGNALS (Score: 8-10)

 Explicitly mentioned data quality or enrichment challenges
 New RevOps hire or GTM leadership change
 Using 3+ enrichment tools (ripe for consolidation)
 Recent funding round + SDR hiring surge
 Mentioned "sales productivity" as strategic priority
 CAC payback period concerns in earnings

MEDIUM-INTENT SIGNALS (Score: 5-7)

 General "digital transformation" initiatives
 Sales team growing 50%+ YoY
 Competitive pressure on GTM efficiency
 Moving upmarket (need better data)
 International expansion (need scalable processes)

TIMING INDICATORS

 "By end of year..." / "In H2..." (deadline-driven)
 "Improve sales efficiency by X%" (measurable goal)
 "Scaling our GTM motion..." (growth imperative)
 "Investing in RevOps..." (budget allocated)

REQUIRED OUTPUT:
1. PROBLEM-SOLUTION ALIGNMENT MAP
Their Problem/InitiativeSource & QuoteMatches Lonescale Use CaseIntent Score (1-10)Timing[Most relevant finding]"..." -CFO, Q2 callData enrichment automation9Q3 2024
2. LONESCALE READINESS ASSESSMENT
Overall Score: __/10
Evidence of:

Data Problem Awareness: [Yes/No] - Quote: "..."
Multiple Tool Fatigue: [Yes/No] - Tools identified:
Personalization Need: [Yes/No] - Evidence:
Budget Available: [Yes/No] - RevOps investment mentioned:
Decision Urgency: [High/Med/Low] - Based on:

3. CURRENT TECH STACK ANALYSIS

CRM: [Salesforce/HubSpot/Other]
Enrichment tools: [List all identified]
Email platform: [Outreach/Salesloft/Other]
Pain points with current stack: [Evidence]

4. CHAMPION IDENTIFICATION
Best potential champion: [Title]

Why they'd care: [Their specific pain]
Their team size: [If mentioned]
Recent quotes/initiatives: [Evidence]

5. OUTREACH ANGLE RECOMMENDATION
Based on your research findings, score these 3 angles (1-10) and select the strongest:
Angle 1: Data Consolidation & Coverage

Use when: Multiple enrichment tools identified or data quality mentioned
Key proof point: Vanta consolidated 5 tools → 80%+ enrichment coverage
Your Score: __/10
Why this score: [Your reasoning based on evidence]

Angle 2: SDR Productivity & Automation

Use when: SDR hiring, sales efficiency focus, or high S&M spend found
Key proof point: Rippling 2x'd cold email performance, 70% less manual work
Your Score: __/10
Why this score: [Your reasoning based on evidence]

Angle 3: Signal-Based Outbound

Use when: Reactive sales process, new RevOps hire, or missing opportunities
Key proof point: Vanta captures 4 buying signals automatically (funding, compliance, hires)
Your Score: __/10
Why this score: [Your reasoning based on evidence]

Selected Primary Angle: [Choose highest scoring based on your research]
Specific evidence supporting this angle: [Quote or data point from research]
6. COMPETITIVE INTELLIGENCE

Current enrichment approach: [Manual/Tools used]
Estimated monthly spend: [$X across Y tools]
Why current approach is failing: [Evidence]

7. RED FLAGS (if any)

 Recently implemented competing solution
 In-house data team building internal tools
 Budget freeze or layoffs announced
 Acquisition discussions

PAIN POINT IMPACT REMINDERS:
Business Impact of These Problems:

High CAC: Manual processes increase cost per lead by 3-5x
Missed Revenue: 73% of leads never contacted due to poor data
Slow Growth: 6-12 month delays in launching new GTM plays
Competitive Disadvantage: Competitors with better data win deals
Poor Unit Economics: SDR quota attainment below 50%
Investor Pressure: Can't show GTM efficiency improvements

Operational Impact of These Problems:

SDR Burnout: 70% turnover from repetitive manual work
Data Conflicts: 5-10 hours/week reconciling tool discrepancies
Slow Iteration: 2-4 weeks to test new messaging
Engineering Bottlenecks: Every workflow change needs dev resources
Quality Issues: 40%+ bounce rates from bad data
Compliance Risk: No data governance across multiple tools
Budget Waste: $5-15K/month across redundant tools

Note: Focus on finding evidence of GTM scaling challenges, data quality issues, and sales productivity initiatives - these are the strongest indicators of lonescale readiness.

Please include all source links related to job postings and articles in the 'Sources' section at the end of the text. Use the following format: 5 keywords -> source links.