Lecture 6 Notes – Understanding High-Tech Customers

What constitutes “design” vs. “design thinking” in the high-tech context?
How do marketing strategies differ across adopter categories (Innovators → Laggards)?
What is “the chasm,” why does it form, and how can a firm cross it?
Six recurring issues shaping high-tech marketing:
1. Steps in the purchase decision process
2. Segmentation, targeting & positioning (STP)
3. Timing of upgrades / migration paths
4. Paradoxical consumer relationships with technology
5. Adoption & diffusion dynamics (factors + adopter categories)
6. Crossing the chasm

Traditional marketing:
- Stable product functionality, slower change, incremental positioning.
- Word-of-mouth and adoption patterns more predictable.
High-Tech marketing:
- Rapid technological evolution, network effects, steep learning curves.
- Higher uncertainty, shorter product life cycles, frequent need to educate the market.
- Buyer anxiety, standards battles, and need for migration assistance dominate.

Problem Recognition
- Triggered by a perceived problem or opportunity.
- Often sparked by competitive pressures or performance gaps.
Information Search
- Sources: personal, commercial, public, experiential.
- Trade shows and demo labs play outsized roles (Box 7-1).
Evaluate Alternatives
- High uncertainty ⇒ anxiety.
- Critical drivers: technological, human, design‐thinking & business factors.
- Design = conscious integration of functionality + aesthetics; “cool factor” + sustainability elevate perceived value.
- Design thinking process: analysis → brainstorming → rapid prototyping → final solution; focuses on human–product/environment interaction.
Purchase Decision
- Negotiated terms: scope, price, payment, delivery.
Post-Purchase Evaluation
- Key issues: buyer’s remorse, realized vs. promised performance, end-of-life disposal.
- Post-adoption usage data invaluable for upgrades & support.

Design affects perceived relative advantage and brand equity.
Business case: good design increases $company\ value$ , brand loyalty, and willingness to pay.
Design thinking encourages early customer co-creation (alpha/beta tests, rapid iterations).

Innovators – “Technology Enthusiasts” (gatekeepers)
- Love being change agents; accept glitches; collaborate on alpha/beta.
Early Adopters – “Visionaries”
- Aim to revolutionize industry; high risk/high reward; custom solutions; horizontal communication.
Early Majority – “Pragmatists”
- Seek evolutionary change, proven ROI; demand references within same industry (catch-22).
Late Majority – “Conservatives”
- Risk-averse, price sensitive; require bullet-proof, turnkey solutions; rely on one trusted advisor.
Laggards – “Skeptics”
- Maintain status quo; adopt only when all other options worse.

Structural gap between Early Market (Innovators + Early Adopters) and Mainstream Market (Early Majority).
- Visionaries ≠ Pragmatists; they mistrust each other.
Symptoms of falling into the chasm:
- Excess custom support; revenue stalls; product released too early; venture funding dries up.

Identify a Beachhead (single, winnable segment)
- Delivers compelling reason to buy aligned with firm capabilities (Table 7-2).
- Provides adjacencies into related niches – Bowling Alley analogy.
- Word-of-mouth must exist across adjacent pins.
- Risks: too narrow (competitor outflanking) vs. too broad (resource dilution).
Develop the Whole Product
- End-to-end solution, defined for the beachhead.
- Requires vendor-led system integration → comfort for pragmatists.
- Partnerships: share components, accelerate expansion, but power asymmetry risk.

Bowling Alley – sequential niche wins; whole-product + partnerships.
Tornado – mass-market adoption, “killer app,” operational excellence critical.
Main Street – growth stabilizes; emphasis on cross-selling, upgrades, customer intimacy.

Segment by shared needs/behaviour
- Consumer: demographics (e.g., gender, role of women), geographics, psychographics, usage volume, benefits sought, usage occasion.
- B2B: industry codes, firm size, culture; vertical (industry-specific) vs. horizontal (cross-industry) value propositions.
Profile segments
- Example: US ICT Users (Table 7-4)
  - Elite Tech Users $31\%$
  - Middle-of-the-Road $20\%$
  - Few Tech Assets $49\%$
Evaluate & Select Target Market
- Size (sales potential) – $80/20$ rule
- Growth rate
- Competitive intensity
- Firm capabilities & partners
Position the Product
- Relative to perceived competition & key attributes.
- Tools: Multi-Attribute Model (Score example – My Company $119$ vs. competitors $112, 131$ ) & perceptual maps (e.g., smart-phones).

New generations make prior investments obsolete ⇒ marketer must manage transition.
Customer migration influenced by:
1. Pace of technological progress (expected price decline)
2. Magnitude of improvement
3. Uncertainty about the above

Rapid pace expectation ⇒ customers delay; migration assistance tempers stalling.
Large magnitude expectation ⇒ customers fear obsolescence; path less crucial.
High uncertainty ⇒ sell both generations & provide path.

Eight dualities customers juggle:

Marketing Implications:

Acknowledge fears; emphasize benefits while informing about trade-offs.
Educate (labels, tutorials), advocate balance (usage limits, holistic activities).
Avoid tech-centric tunnel vision; stay empathetic.

Opening Vignette: RFID Chips (privacy vs. efficiency)
Technology Expert: Panasonic Mobile (Japan market insights)
Technology Solution: Manila Water (infrastructure upgrade)
End-of-Book Cases: TiVo (DVR adoption), ESRI (GIS platform), Goomzee (mobile real-estate)

Whole product = critical success factor; integration responsibilities shift from user to vendor.
Crossing the chasm is vital; until mainstream penetration, a high-tech firm remains unproven.
Partner discipline: prioritize based on value contribution and market leverage.
Use STP and migration planning to align tech road-maps with customer psychology.
Be proactive, not reactive, to technology paradoxes and upgrade anxieties.