Core Principle

SHUR IQ monetizes structural intelligence at three levels: market, company, and system. Each level increases depth, increases value, and increases switching cost.

Business Model Canvas

Three-tier revenue architecture mapped to the nine BMC blocks.

Key Partnerships

  • Technology platform partners (AI, knowledge graph infrastructure)
  • Data integration partners
  • Industry data sources
  • Sense Collective (methodology IP)

Key Activities

  • Knowledge graph construction and maintenance
  • Industry structural analysis
  • Client engagement delivery
  • Client data integration
  • Platform development
  • Sales pipeline management

Value Propositions

  • Market Intelligence: Industry-level structural intelligence — stack rankings, competitive movement, structural gaps, opportunity mapping
  • Company Intel Standard: External structural diagnosis using public data
  • Company Intel Advanced: Structural intelligence layered onto internal company data — where real value is created, switching cost introduced, product defensibility increases
  • Architecture: Strategic application of intelligence — brand system redesign, value flow optimization, execution roadmap

Customer Relationships

  • Self-service subscription (Market Intelligence)
  • Consultative onboarding (Standard)
  • Embedded infrastructure (Advanced — high switching cost)
  • Strategic advisory (Architecture)

Key Resources

  • SBPI methodology (proprietary)
  • Knowledge graph dataset (compounding)
  • AI agent infrastructure
  • Team expertise (brand strategy, technical, client relationships)
  • Client relationship network

Channels

  • Industry reports as top-of-funnel
  • Direct consultative sales
  • Natural upsell path (industry → company → architecture)
  • Thought leadership / content marketing

Customer Segments

  • Volume subscribers (Market Intelligence tier)
  • Companies seeking competitive positioning (Standard tier)
  • Enterprises needing structural intelligence infrastructure (Advanced tier)
  • Companies requiring strategic transformation (Architecture tier)

Cost Structure

  • AI platform costs
  • Analyst / strategist labor
  • Infrastructure
  • Sales & marketing
  • Client data integration
  • Platform development

Revenue Streams

Pricing across all four tiers, directly from the updated pricing model.

Tier Model Price Notes
Market Intelligence Basic $750/mo 1 industry, monthly
Pro $2,000/mo 3 industries, weekly
Enterprise $6,000/mo Unlimited + alerts + API
Company Intel Standard One-off $7K–$15K Comparable to lightweight strategy work
Subscription $3K–$7K/mo Strong upsell path
Company Intel Advanced Setup / Integration $30K–$100K Varies by data environment, org complexity, alignment overhead
Ongoing Subscription $8K–$25K/mo Depends on # brands, update frequency, monitoring depth, internal access
Architecture Project $75K–$200K Strategy + system implementation
Retainer $20K–$75K/mo Justified by proprietary inputs, system-level diagnosis, direct business impact

Advanced Setup Pricing Bands

$30K–$50K

Clean data environment, single brand, limited stakeholders

$50K–$75K

Multiple systems (GA, CRM, surveys), moderate cleanup, stakeholder coordination

$75K–$100K+

Messy data, enterprise org, heavy alignment overhead

Revenue Progression

Customers move through the system, not just buy a product.

Stage 1
Discover
Market Intelligence
"What's happening in my category?"
Stage 2
Diagnose
Company Intel Standard
"Where do we stand?"
Stage 3
Understand
Company Intel Advanced
"Why is this happening inside our system?"
Stage 4
Act
Architecture
"What should we do?"

Economic Model

Margin structure and dual revenue streams.

Margin Structure

Market Intel
90%+
Standard
70–85%
Advanced
60–80%
Architecture
50–70%

Dual Revenue Streams

Subscription Revenue

Industry + Company Intelligence

Compounding

Engagement Revenue

Advanced + Architecture

Drives data + product improvement

Revenue funds the dataset. The dataset increases pricing power.

Strategic Advantages

01

Natural Expansion Model

Industry → Company → Architecture. No forced sales motion.

02

Built-in Upsell Path

Outside-in → inside-out. Insight → action.

03

High Switching Costs

Once internal data is integrated, the system becomes embedded, insights become continuous, and replacement cost increases significantly.

04

Compounding Data Advantage

Every engagement improves ontology, pattern recognition, and accuracy. Unlike SaaS companies that collect usage data, SHUR IQ collects structural intelligence.

Long-Term Model Evolution

Today

Consulting-Led

  • Consulting-led revenue
  • Hybrid product
Next

Subscription-Led

  • Subscription-led growth
  • Standardized outputs
Future

Intelligence-as-a-Service

  • Full Intelligence-as-a-Service platform
  • API + internal tooling
  • Dataset licensing
SHUR IQ is not selling reports. It is building the intelligence layer that companies use to understand how they work.
V2: Knowledge Graph Scaling Model →