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Vertical

As explained in Tech Startup Toolkit

A vertical market is a market focused on customers within a particular industry or specialized application area.

A vertical is a customer market organized around one industry or specialized application area. After customer interviews show that a product could serve several verticals, the practical question becomes which ones deserve focused attention. section 16.4

A common startup mistake is treating a product as horizontal—useful for almost everyone. That approach spreads marketing effort too thin. A focused vertical gives the team a clearer customer, a sharper product, and a more manageable go-to-market strategy. section 16.4.1

A practical way to choose target verticals:

  • List 12–20 plausible verticals. section 16.4.1
  • Define company-specific criteria, including acceptable, unacceptable, and middle ranges. section 16.4.1
  • Research the markets and place the findings in a comparison matrix. section 16.4.1
  • Use the strongest scores, followed by judgment, to select two verticals rather than pursuing every possible market. section 16.4.1

The two-vertical hedge

The one-vertical rule creates focus, but choosing two can reduce the risk of betting everything on a market that proves wrong. If one stalls, the other can keep the company moving instead of forcing a complete restart. section 16.4.1

Table 16.1 Using the Dover evaluation matrix to narrow the final number of chosen verticals to two
Device makers
Automotive
Communications Infrastructure
Industrial IoT
Consumer IoT
Storage
Segment
Infotainment, GPS, & ADAS
Routers, Hubs, & Modems
Industrial
Connected Home
SSD & HDD
# target accounts
100
500+
2000+
500+
<100
# ASIC starts
980
6120
251
455
457
# ASIC sales
70M
1.1B
1.85B
991M
880M
# device unit sales
169M
750M
4.16B
1.2B
600M
SAM
$393M
$350M
$420M
$400M
$91M
Cost per attack
$1.1B
$886,560 (DNS)
$13M
N/A
N/A
Budget metrics
• R&D budget: $1B
• Margins: 5%–15%
• ASP: $49
• R&D budget: <$500M
• Margins: 20%
• ASP: $50
• R&D budget: >$500M
• Margins: 19%
• ASP: $64
• R&D budget: $50M
• Margins: < 25%
• ASP: $42
• R&D budget: $150M
• Margins: >50%
• ASP: $67–$102
Timing
Slow (2–3 years)
Fast (<1 year)
Medium (1–3 years)
Medium (1–2 years)
Fast (<1 year)
Upgrade cycle
Medium (6.7 years)
Short (3–4 years)
Long (8–10 years)
Medium/Long (5–12 years)
Long (10 years)
Current value
Medium
Medium
Medium
Medium
High
Future value
High
High
High
Medium
Medium
Compelling need
Safety
Network security
Operational security and safety
Privacy
Data security and privacy
Top 3 pain points
• Safety
• Liability
• Regulations
• Service interruptions
• User privacy
• Liability
• Process disruption
• More points of attack (edge)
• Safety and trade secrets
• Broad privacy breaches
• Reputational risk
• Liability
• Privacy of data in motion
• Commoditization
• Differentiation needs
Buyer profile
• Mostly technical
• Mostly technical
• Mostly technical
• Less technical
• Medium technical
Competition
Entrenched: few
Other: varied, HW & SW
Entrenched: several
Other: onus on InfoSec
Entrenched: large firms
Other: large firms, HW & SW
All over the map, lots of SW
• Encryption (Rambus)
• Little else
CoreGuard obstacles
Regulation/standard compliance
Agile development cycles, lukewarm on security
TAM/SAM shrinks w/o low power product available
Consumer apathy and unwillingness to pay
Market only interested in encryption
GTM:
technology fit
• Complex SW stacks
• Consumer OS/interface
• High performance
• Power/area OK
• Complex SW stacks
• High performance
• Power/area OK
• Varied cores
• Work with basic OS
• Platform compatibility
• Quick SW updates
• SW integrations/ expansions
• Bluetooth/Wifi connectivity
• Work with basic OS
• Port to more complex OS
• Quick SW updates
• SW integrations/ expansions
• Bluetooth/Wifi connectivity
• Flow translation from host
• Encryption essential
• High performance
• Low gate count
GTM: market fit
• More security attacks
• Bigger risks
• Trends (autonomous)
• More network attacks
• More user risk
• Increasing security costs
• Process disruption costly
• Sophisticated attackers
• Distributed attack points
• Highly visible risks
• Privacy is “hot issue”
• Distributed attack points
• HW-centric market
• Data security critical
GTM: audience fit
• Technically savvy
• Project managers
• PMs
• Engineers
• Technically savvy-ish
• Project/product mgrs
• Engineers
• Architects
• Technically savvy
• PMs
• Security managers
• Less technically savvy
• PMs
• Security managers
• Technically savvy
• PMs, CTOs
• Security managers
• HW architects
GTM: leverage
• Upstream
• Rental car firms
• Ride-sharing firms
• Trucking industry
• On-demand (e.g. bikes)
• Major vendors
• Large implementers
• Enterprise SW use can drive selection decisions
• Existing platforms > Arm, IBM
• Managed cyber > BMC, ServiceNow
• Other stack players > Rambus, Gemalto
• Existing platforms > Amazon, Google
• Other stack players > Rambus, Gemalto
• SiFive
• Western Digital
Top 3 pros
• Manageable universe
• Safety is need-to-have
• Technical audience
• Fast time-to-market
• Demanding users
• Increasing security costs
• Expanding market
• Security lapses = real pain
• Low regulatory overhead
• Expanding market
• Privacy concerns growing
• High-profile market players
• Fast time-to- market
• Differentiation needs
• High margins
Top 3 cons
• Slow time-to- market
• Low margins
• Regulatory environment
• Slow to address security
• Security is afterthought
• Infrastructure “inertia”
• Lack of standardization
• Outdated, specialized HW
• Less technical buyers
• Pricing pressure (low ASP)
• Market used to crowded SW
• X86 trending up
• Thin market for security
• Limited leverage
Bad
sidebar figure
Neutral
sidebar figure
Good
sidebar figure

Compare candidate verticals across target accounts, sales, market size, costs, budgets, margins, timing, and upgrade cycles; a traffic-light view makes the strongest options visible. section 16.4.1

A vertical also sets the boundary for an initial MVP. Win a beachhead with the smallest useful product, learn from its customers, and add features before expanding into adjacent markets. section 14.1.2

How Tech Startup Toolkit covers it

How deep it goes
Explains selection through candidate lists, scored criteria, research matrices, traffic lights, and final judgment.
Examples
Uses a Dover evaluation matrix and a focused two-vertical choice to demonstrate comparison and risk management.
What it assumes
Assumes customer interviews have identified several possible verticals and a product that fits them.
What you can do after
Evaluate candidate markets and choose a focused starting position for go-to-market execution.
How it connects
Connects customer interviews, go-to-market strategy, product-market fit, MVPs, lighthouse customers, and adjacent markets.

Also explained in

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This explainer was generated by Manning's knowledge graph from the text of Tech Startup Toolkit. The section links point to the parts of the book it draws on.