Price Sensitivity & Competitive Pricing Analyzer

Price Sensitivity & Competitive Pricing Analyzer is one of the most strategic tools you can have, especially for e-commerce and consumer brands in Vietnam, where pricing is highly competitive, and customer behavior is extremely price-responsive.

Let’s build a full concept for it — from objectives, data sources, analytics methods, all the way to architecture and dashboard design.

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🎯 Goal of the App

To help businesses:

• Identify optimal price ranges customers are willing to pay.

• Track competitor pricing changes across platforms.

• Understand how price elasticity affects demand and sales.

• Provide real-time pricing intelligence to guide promotions and margin optimization.

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🧩 Core Features

Module	Description	Example for Vietnam
1. Competitor Price Tracker	Scrapes and monitors product prices from Shopee, Lazada, Tiki, TikTok Shop, and Facebook Shops.	Compare how “Collagen Drink 50ml” is priced across 10 sellers.
2. Historical Price Graphs	Shows how competitor and your own prices change over time.	Track daily Shopee price movements during 11.11 sale.
3. Price Elasticity Analyzer	Models how sales volume responds to price changes.	“When price increased 5%, sales dropped 8% — elasticity = -1.6.”
4. Optimal Price Recommender	Uses machine learning and survey data to predict best price point for profit and conversion.	Suggests ₫179,000 as best balance between margin and volume.
5. Promotion Impact Tracker	Measures lift from flash sales, vouchers, and discounts.	“7.7 sale discount (20%) increased conversion +65%.”
6. Van Westendorp Price Sensitivity Meter (PSM)	Based on consumer survey responses — finds “too cheap / cheap / expensive / too expensive” thresholds.	“Acceptable range: ₫150K–₫190K, optimal: ₫172K.”
7. Competitor Benchmarking Dashboard	Ranks competitors by pricing strategy, margin range, and promotion frequency.	“Your average price 12% higher than top 3 sellers.”
8. Alerts & Automation	Alerts when competitor changes price or undercuts by threshold.	“⚠️ Competitor X dropped price by 10% today.”

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🔍 Data Sources (Vietnam Market)

Source	Method	Notes
Shopee / Lazada / Tiki / TikTok Shop	APIs (if partner) or scrapers (Apify, Outscraper)	Track listing price, discount, sold count, rating.
Facebook / Instagram Shops	Meta Graph API or Apify	For D2C brands posting pricing publicly.
Own store data (POS/CRM)	API / CSV import	For matching internal sales vs external prices.
Consumer surveys	Google Forms, Typeform, Zalo surveys	For perceived price value analysis.

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📊 Analytics & Insights Layer

🧠 1. Price Elasticity Model

Estimate elasticity E:
[
E = \frac{% \text{change in quantity}}{% \text{change in price}}
]
Interpretation:

• |E| < 1 → Inelastic (customers not sensitive)

• |E| > 1 → Elastic (very price-sensitive)

→ Use regression or ML (e.g. gradient boosting) on historical price vs sales data.

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📈 2. Van Westendorp Price Sensitivity Meter

Ask respondents:

• “At what price would you think this is too cheap?”

• “At what price would you think this is a good deal?”

• “At what price would you think this is getting expensive?”

• “At what price would you think it’s too expensive?”

Then plot curves → intersection points give:

• Indifference Price Point (IPP)

• Optimal Price Point (OPP)

• Acceptable Range (Price Tolerance Zone)

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⚙️ 3. Competitor Pricing Intelligence

Metrics to track:

KPI	Description
Average price per SKU per platform
Discount frequency per competitor
Price range (min–max) by category
Price position (premium / mid / low)
Time to react to competitor price change
% overlap in SKU listing

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📊 4. Dynamic Pricing Recommendation

Algorithm considers:

• Competitor pricing

• Historical sales & elasticity

• Stock levels

• Marketing campaigns

• Profit margin targets

Outputs:

“Raise price by ₫5,000 for SKU A — low elasticity.”
“Lower price by ₫10,000 for SKU B — competitor undercut 8%.”

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💡 Vietnam-Specific Adaptations

• Customers are extremely promotion-sensitive — integrate campaign detection (11.11, 12.12, Tet).

• Include voucher and free shipping effects in model.

• Localize currency (₫), and support Shopee VN URL patterns.

• Handle mixed-language product names (Vietnamese + English).

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🧮 Example Dashboard Snapshot

Category: Skincare / Serum

Product	Your Price	Avg Competitor	Price Gap	Sales Volume	Elasticity	Recommended Action
Vitamin C Serum 30ml	₫189K	₫175K	+8%	1,200	-1.8	↓ ₫10K
Collagen Essence 50ml	₫249K	₫245K	+1.6%	800	-0.9	Maintain
Hyaluronic Ampoule 15ml	₫139K	₫155K	-10%	2,500	-0.5	↑ ₫5K

📈 Graphs:

• Price vs sales trend

• Competitor price map (bubble chart)

• Elasticity curve

• PSM plot (survey-based)

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🏗️ Technical Architecture

1. Data Layer

• Sources: Shopee API / scraper, Facebook API, sales DB, survey tool

• Storage: PostgreSQL / BigQuery

• Scheduler: Airflow / Cron for daily updates

2. Processing & Modeling

• Python (Pandas, Scikit-learn, Prophet for forecasting)

• NLP for Vietnamese product title normalization

• PSM calculator module

• Price elasticity regression model

3. App / Dashboard Layer

• Web app: React / Next.js / Streamlit

• BI: Power BI, Looker Studio, or Metabase

• Alerts: Slack, Telegram, or Zalo Bot

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🧰 Existing Tools You Can Leverage

Tool	Function	Localization
EcomBlade / Split Dragon	Competitor price tracking on Shopee, Lazada	🇻🇳 Strong for VN
Price2Spy / DataWeave / Prisync	Global dynamic pricing APIs	English only, can localize data
Reputa.vn / YouNet	Social sentiment + price perception	VN native
Google Trends + Shopee API	For price + demand correlation	Requires integration

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🚀 Optional Advanced Features

• Predict price war risk (based on competitor activity).

• Integrate AI negotiation agent for B2B pricing proposals.

• Show profit simulation based on price adjustments.

• Combine with Trendspotting module for demand-driven pricing.

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Posted in: Analyzer