Offline price benchmarking for an e-commerce firm
Price Benchmarking
Study Summary
Client
An e-commerce company
Client
An e-commerce company
Client
An e-commerce company
Client
An e-commerce company
Objective
To ensure the client could offer the most competitive prices, offers, and discounts on its platform.
Objective
To ensure the client could offer the most competitive prices, offers, and discounts on its platform.
Objective
To ensure the client could offer the most competitive prices, offers, and discounts on its platform.
Objective
To ensure the client could offer the most competitive prices, offers, and discounts on its platform.
Sector
E-commerce
Sector
E-commerce
Sector
E-commerce
Sector
E-commerce
Coverage
Metros, Tier 1 Cities, Tier 2 Cities
Coverage
Metros, Tier 1 Cities, Tier 2 Cities
Coverage
Metros, Tier 1 Cities, Tier 2 Cities
Coverage
Metros, Tier 1 Cities, Tier 2 Cities
Methodology
Methodology: Conducted mystery audits in Modern Trade Outlets, comparing offline and online (Amazon, Flipkart) prices.
Target Audience: Major outlets in metros, Tier 1, and Tier 2 cities.
Data Collection: Gathered details on prices, offers, finance, and warranty schemes.
Data Analysis: Compared daily offline and online prices; created a dashboard showing price variations.
Methodology
Methodology: Conducted mystery audits in Modern Trade Outlets, comparing offline and online (Amazon, Flipkart) prices.
Target Audience: Major outlets in metros, Tier 1, and Tier 2 cities.
Data Collection: Gathered details on prices, offers, finance, and warranty schemes.
Data Analysis: Compared daily offline and online prices; created a dashboard showing price variations.
Methodology
Methodology: Conducted mystery audits in Modern Trade Outlets, comparing offline and online (Amazon, Flipkart) prices.
Target Audience: Major outlets in metros, Tier 1, and Tier 2 cities.
Data Collection: Gathered details on prices, offers, finance, and warranty schemes.
Data Analysis: Compared daily offline and online prices; created a dashboard showing price variations.
Methodology
Methodology: Conducted mystery audits in Modern Trade Outlets, comparing offline and online (Amazon, Flipkart) prices.
Target Audience: Major outlets in metros, Tier 1, and Tier 2 cities.
Data Collection: Gathered details on prices, offers, finance, and warranty schemes.
Data Analysis: Compared daily offline and online prices; created a dashboard showing price variations.
Findings
Price Variances
Sales Tactics:
Consumer Behavior Insights
Market Dynamics
Challenges
Lessons learned
Findings
Price Variances
Sales Tactics:
Consumer Behavior Insights
Market Dynamics
Challenges
Lessons learned
Findings
Price Variances
Sales Tactics:
Consumer Behavior Insights
Market Dynamics
Challenges
Lessons learned
Findings
Price Variances
Sales Tactics:
Consumer Behavior Insights
Market Dynamics
Challenges
Lessons learned
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Market Xcel Data Matrix © 2024 (v1.1.3)
Subscribe to us
USA
Market Xcel Data Matrix
5741 Cleveland street, Suite 120, VA beach, VA 23462
SINGAPORE
Market Xcel Data Matrix Pte. Ltd.
190 Middle Road, # 14-10 Fortune Centre, Singapore - 188979
NEW DELHI
1st Floor, A-23, JDKD Corporate,
Mohan Cooperative Industrial Estate, Mathura
Road, New Delhi - 110044.
Market Xcel Data Matrix © 2024 (v1.1.3)
Subscribe to us
USA
Market Xcel Data Matrix
5741 Cleveland street, Suite 120, VA beach, VA 23462
SINGAPORE
Market Xcel Data Matrix Pte. Ltd.
190 Middle Road, # 14-10 Fortune Centre, Singapore - 188979
NEW DELHI
1st Floor, A-23, JDKD Corporate,
Mohan Cooperative Industrial Estate, Mathura
Road, New Delhi - 110044.
Market Xcel Data Matrix © 2024 (v1.1.3)
USA
Market Xcel Data Matrix
5741 Cleveland street, Suite 120, VA beach, VA 23462
SINGAPORE
Market Xcel Data Matrix Pte. Ltd.
190 Middle Road, # 14-10 Fortune Centre, Singapore - 188979
NEW DELHI
1st Floor, A-23, JDKD Corporate,
Mohan Cooperative Industrial Estate, Mathura
Road, New Delhi - 110044.
Market Xcel Data Matrix © 2024 (v1.1.3)