Checkpoint 3 — Marketing Mix 7Ps
Team Market Lab
AI Customer Insight
The 7Ps marketing strategy

MARKET
LAB

Validate business hypotheses in 5 minutes, not 5 weeks — an AI platform that turns scattered data into evidence-backed customer insight.

Product
Persona Intelligence + Synthetic Research
Stage
MVP
Team
Bích · Trung · Quyền · Tùng · Vũ
7Ps
Marketing Mix

THE 7Ps

Market Lab · Checkpoint 3
1
Product
  • Three Levels of Product
  • Product Portfolio
  • Software Requirements
2
Price
  • Revenue Model
  • Pricing Strategy
  • Pricing Plan & Credits
3
Place
  • Distribution Channels
  • Channel Classification
4
Promotion
  • Promotional Tools
  • Tool Analysis
  • Communication Plan
5
People

Five complementary co-founders.

6
Process

Product development & user acquisition.

7
Physical Evidence

Touchpoints across the journey.

1.1 · Product Strategy

THREE LEVELS OF PRODUCT

Core · the real value

Understand customers faster and cut decision risk — weeks of research compressed into minutes.

  • Reduce risk before launch
  • Save research time & cost
  • Structured, insight-based decisions
Actual · the product
  • Persona Intelligence — build & refine AI personas
  • Synthetic Research Engine — concept / message / pricing tests
  • Dashboards, comparisons & exportable reports
Augmented · the experience
  • Interactive Digital Twin Chat
  • Insight-to-Action Summary
  • In-app onboarding
  • Guided playbooks & templates
1.2 · Product Strategy

PRODUCT PORTFOLIO

Persona Intelligence

MVP

What. Create, manage & refine customer personas for simulation.

Core functions
  • Generate AI personas from input, research files, CRM/CSV or public info
  • Manual editing & project-based management
  • Refine with confidence score & feedback
Target users

Founders · Marketers · Product teams · Strategic & agency planners

Synthetic Research Engine

MVP

What. Use personas & synthetic panels to run simulated research.

Core functions
  • Design studies, pick personas / synthetic respondents
  • Simulate customer reactions & aggregate insights
  • Compare groups, export decision-support reports
Target users

Founders · Marketers · Product teams · Researchers · Agency planners

Flow

Persona Intelligence builds the customers → Synthetic Research Engine tests on them.

1.3 · Product Strategy

SOFTWARE REQUIREMENTS

Key goals
  • Create data-grounded personas — not just prompt-written
  • Generate controlled synthetic respondents from persona profiles
  • Build & run basic studies — surveys, interviews, concept & message tests
  • Analyze results into charts, themes, quotes, objections & recommendations
  • Label AI-generated insight, assumptions, confidence & human-validation status
  • Provide exportable reports for product & marketing decisions
Tech stack
Frontend
React + TypeScript
UI · Charts
Tailwind · Recharts
Backend
Python · FastAPI
AI · Data
LLM API · AI/data libs
Database
Supabase Postgres
Storage
Cloudflare R2
Deploy · CI
CF Pages · GH Actions
2.1 · Pricing Strategy

HYBRID REVENUE MODEL

Primary

B2B SaaS Subscription

Recurring monthly / annual fees for platform access & advanced AI research tools. Creates stable, predictable cash flow.

Supplementary

Consumption Top-up

Buy extra Credit packs when usage exceeds the plan quota. Fits uneven, project-based demand — agencies, campaigns.

Hybrid logic
Combines SaaS stability with usage-based flexibility — scales revenue while protecting margins against variable AI / API costs.
2.2 · Pricing Strategy

PRICING STRATEGY

Attract

Freemium

Free tier with basic features & credits. Removes the trial barrier, builds the early user base for conversion.

Maximize value

Value-Based Pricing

Higher tiers priced on delivered value — saved time, lower cost, faster lower-risk decisions.

Why this fits our market

Cost structure

Variable AI / API costs → credit quota + top-up protects margins.

Target customers

Marketers, SMEs, startups, agencies — price-sensitive, need proof before budgeting.

Competitive position

New entrant → accessible entry pricing, value-based upper tiers.

2.3 · Pricing Plan

SUBSCRIPTION TIERS

Free
$0

300 credits · one-time

Newcomers · students · demo

Try the workflow, sample personas, tiny studies.

Starter
$7.99/mo

1,200 cr · ~$0.0067/cr

Solo founders · indie makers

Validate small ideas, basic concept / landing tests.

★ Popular
Growth
$30.99/mo

7,000 cr · ~$0.0044/cr

Small startups · 2–5 teams

Regular research, segment comparisons, messaging tests.

Pro
$94.99/mo

25,000 cr · ~$0.0038/cr

UX researchers · agencies

Many studies/mo, team reports, premium analysis.

Plan limits

Free 1 project / 3 personas / no export · Starter 3 / 10 / PDF·CSV · Growth 10 / 40 / +premium model · Pro 30 / 120 / PPT + branded export

2.3 · Pricing Plan

CREDIT MODEL & TOP-UP

1 credit = 1 standard synthetic answer
Fast synthetic answer
1
Standard-quality answer
2
Premium answer
5
Deep-interview answer
5–10
Generate detailed persona
30–80
Analyze a small study
100–300
Generate AI report / deck
100–300
Top-up packs · 1-year validity
Small Pack
$5.99
500 credits — Starter needing a bit more
Research Pack
$18.99
2,000 credits — Growth / Pro extra studies
Scale Pack
$75.99
10,000 credits — Pro or large campaigns
3.1 · Place & Distribution

DISTRIBUTION CHANNELS

Direct-first distribution
Primary

Own Website / App

The main access & usage point — info, pricing, sign-up, demo, trial, dashboard. Controls full CX, protects margin, captures behavioral data.

Primary

Direct to Customer

Social DM / Email / LinkedIn / Zalo. Fits B2B — explains how it works, builds trust, personalizes the sales message, lifts conversion.

Secondary

Agency Partners

Resellers / agents — agencies act as users and referrers. Expands reach without a big sales team, rolled out after MVP stabilizes.

3.2 · Place & Distribution

CHANNEL PRIORITY

01
Primary — prioritize now
Own Website / App · Direct to Customer. Fits B2B SaaS, controls CX, generates direct leads, supports demos before conversion.
02
Secondary — later
Resellers via Agency Partners. Scales reach through agency networks once the product is stable with early case studies.
03
Not prioritized
Marketplace · Social Commerce · Retail. Not a physical / impulse product — would scatter resources and miss B2B decision-makers.
Principle

Direct-first: own the relationship before scaling through partners.

4.1 · Promotion · See–Think–Do–Care

PROMOTIONAL TOOLS

See

Awareness

Education + brand awareness.

Direct & Digital Mkt · PR / Community · Personal Selling. Ads: minimal test.

Think

Consideration

Trust via real results.

Case Study · Consultative Outreach · Trial. Ads: light retargeting.

Do

Conversion

Close Founding Member Partners.

1:1 Direct Mkt · Scarcity promotion. Ads: none.

Care

Retention

Sustain usage & spread word.

Owned Community · Referral · UGC. Ads: none — earned / owned.

4.2 · Promotion · Awareness phase

TOOL ANALYSIS

Tool
Type
Key action
Channel
Direct & Digital
Pull
Publish sample reports (industry / Gen-Z insight)
FB / LinkedIn communities
Leads
Personal Selling
Push
Reach founders, CMOs, planners via network
LinkedIn · Email · Zalo
Demos
PR / Community
Trust
Thought-pieces on AI simulation & digital twins
Brands VN · LinkedIn
Credibility
Sales Promotion
Trial
"Founding Member Partner" — first 20 businesses
Website · email · demos
Cases
Advertising (test)
Reach
Small paid ads → landing / demo form
FB / LinkedIn Ads
Reach
4.3 · Promotion · 4-stage plan

COMMUNICATION FRAMEWORK

Awareness

Reach 50–100 founders + 15–20 planners; educate.

"Validate a hypothesis in 5 minutes, not 5 weeks."

1.5–3.6M VND
Consideration

Trust via 3–5 beta testers; drive Live Audit Demo.

"See what AI does, not just what it says."

800K VND
Conversion

Convert demo group into 3–5 Founding Members.

"Last chance to join the Founding Member program."

0 VND
Retention

Sustain early users; turn them into advocates.

"A partner for better marketing decisions."

400K VND
1,000
report views
15–20
beta testers
3–5
founding partners
≥2
testimonials
2–3
referral leads
5 · People

FOUNDING TEAM

Equity · 22 / 19 / 18 / 22 / 19
B
Đỗ Ngọc Bích
CEO · 22%

Product strategy, fundraising, overall team & roadmap direction.

35–45 h / week
T
Lê Quang Trung
CMO · 19%

Go-to-market, branding, acquisition, growth funnel, content.

25–35 h / week
Q
Nguyễn Văn Quyền
CFO · 18%

Finance, cash flow, budgeting, revenue model, burn rate.

20–30 h / week
T
Nguyễn Thanh Tùng
CTO · 22%

System architecture, AI/ML pipeline, backend, scalability.

35–45 h / week
V
Nguyễn Tuấn Vũ
CPO · 19%

Product vision, user research, UX/UI, roadmap alignment.

30–40 h / week
6.1 · Process · iterative + user-centered

DEVELOPMENT PROCESS

01
Feedback & Research
Input from customers, experts, stakeholders; user research & market analysis.
02
Prioritization
Score requirements by user impact, business value, feasibility.
03
Wireframe & Prototype
Validate flows, optimize UX before engineering.
04
Architecture & AI
Build system + AI framework for core functions.
05
Development
Persona Gen, Segmentation, Price / Concept / Message Testing.
06
Test & Deploy
Accuracy, stability, business-fit → release, monitor, feed back to step 1.
Method

Iterative & User-Centered

A closed loop — deployment feeds back into research. Not waterfall: every release is evidence for the next.

6.2 · Process

USER ACQUISITION

01

Reach

Discover via SEO, social, expert content, partnerships.

02

Setup

Provide business, product, target market & research goals.

03

Foundation

Persona Generation + Customer Segmentation.

04

Validation

Price · Concept · Message Testing.

05

Long-term

Insight & export → repeat projects, ongoing relationship.

7 · Physical Evidence · pre-access & in-product

EVIDENCE BEFORE & DURING

Pre-access · build trust before sign-up
  • Real sample report — persona + insight + evidence layer + confidence score
  • "How it works" — transparent data → persona → test → report flow
  • Industry case study — a concrete use-case, not an abstract demo
While using · prove it in-product
  • Confidence & evidence layer ★ — every insight shows confidence + source
  • Clean no-code dashboard & report export (PDF / Excel / slide)
  • Real-time progress & instant email confirmation
The star

The confidence & evidence layer turns "AI says" into "AI says, with evidence."

7 · Physical Evidence · post-access & summary

EVIDENCE AFTER & ACROSS

Post · onboarding

Guide data import, persona tuning & effective use from day one.

Post · privacy

Clear policy & data-ownership — customers upload sensitive data.

Post · community

Early-bird group for feedback, bug reports & tips.

Pre

Trust

Sample report · How it works · Case study

While

Proof

Dashboard · Confidence layer · Export

Post

Retain

Onboarding · Privacy · Community

Positioning
Every touchpoint reinforces one positioning: data-first, evidence-backed, transparent.
Checkpoint 3 — Market Lab
Marketing Mix · 7Ps
Q&A

THANK YOU
FOR LISTENING

Validate business hypotheses in 5 minutes, not 5 weeks.

Team
Bích · Trung · Quyền · Tùng · Vũ
Product
Market Lab — MVP
Market Lab
← / → · space