
Global FMCG Data | Brand Performance Scorecard | Competitor Benchmarking for Quantifying Brand Health | 20+ Retail and Consumer KPIs
# | retail_channel_preference |
scorecard_id |
overall_brand_score |
market_penetration_score |
household_product_variety_index |
retail_channel_distribution |
promotion_responsiveness_index |
share_of_wallet |
brand_affinity_score |
purchase_frequency_recency |
churn_risk_score |
product_substitution_rate |
new_product_trial_rate |
brand_loyalty_retention |
brand_engagement_market_presence |
pricing_power_sensitivity |
retail_distribution_strength |
product_experience_consumption_fit |
price_sensitivity_index |
promotion_responsiveness_index |
product_substitution_rate |
bulk_purchase_behavior |
brand_pack_preference_consumption_index |
consumption_patterns_usage_frequency |
share_of_wallet |
shelf_visibility_availability_score |
stockout_frustration_score |
timestamp |
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1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
2 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
3 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
4 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx |
5 | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
6 | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx |
8 | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx |
9 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx |
10 | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx |
... | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
retail_channel_preference
|
String | in-store | |
scorecard_id
|
String | FZ12345 | |
overall_brand_score
|
Integer | 87 | |
market_penetration_score
|
Float | 64.3 | |
household_product_variety_index
|
Float | 72.1 | |
retail_channel_distribution
|
String | in-store | |
promotion_responsiveness_index
|
Float | 68.5 | |
share_of_wallet
|
Float | 41.2 | |
brand_affinity_score
|
Integer | 78 | |
purchase_frequency_recency
|
Float | 6.7 | |
churn_risk_score
|
Float | 19.4 | |
product_substitution_rate
|
Float | 12.5 | |
new_product_trial_rate
|
Float | 24.3 | |
brand_loyalty_retention
|
Float | 80.2 | |
brand_engagement_market_presence
|
Float | 74.5 | |
pricing_power_sensitivity
|
Float | 59.2 | |
retail_distribution_strength
|
Float | 88.1 | |
product_experience_consumption_fit
|
Float | 91.7 | |
price_sensitivity_index
|
Float | 45.3 | |
promotion_responsiveness_index
|
Float | 74.5 | |
product_substitution_rate
|
Float | 41.2 | |
bulk_purchase_behavior
|
Float | 39.1 | |
brand_pack_preference_consumption_index
|
Float | 65.2 | |
consumption_patterns_usage_frequency
|
Float | 5.4 | |
share_of_wallet
|
Float | 80.2 | |
shelf_visibility_availability_score
|
Float | 82.6 | |
stockout_frustration_score
|
Float | 21.4 | |
timestamp
|
DateTime | 2025-03-31T10:45:00+00:00 |
Description
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History
Volume
20 | Retail and Consumer KPIs |
Pricing
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Frequently asked questions
What is Global FMCG Data Brand Performance Scorecard Competitor Benchmarking for Quantifying Brand Health 20+ Retail and Consumer KPIs?
Track how your brand is performing across key retail and consumer metrics—all in one place. From market penetration and share of wallet to price sensitivity and product substitution rates, the scorecard gives you a comprehensive, data-driven view of brand health, loyalty, and visibility.
What is Global FMCG Data Brand Performance Scorecard Competitor Benchmarking for Quantifying Brand Health 20+ Retail and Consumer KPIs used for?
This product has 5 key use cases. Rwazi recommends using the data for Spending Analytics, Price Optimization, Market Share Analysis, Marketing Strategy, and Data Driven Marketing. Global businesses and organizations buy Consumer Behavior Data from Rwazi to fuel their analytics and enrichment.
Who can use Global FMCG Data Brand Performance Scorecard Competitor Benchmarking for Quantifying Brand Health 20+ Retail and Consumer KPIs?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Consumer Behavior Data. Get in touch with Rwazi to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Global FMCG Data Brand Performance Scorecard Competitor Benchmarking for Quantifying Brand Health 20+ Retail and Consumer KPIs go?
This product has 6 months of historical coverage. It can be delivered on a weekly, monthly, quarterly, and yearly basis.
Which countries does Global FMCG Data Brand Performance Scorecard Competitor Benchmarking for Quantifying Brand Health 20+ Retail and Consumer KPIs cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Rwazi is headquartered in United States of America.
How much does Global FMCG Data Brand Performance Scorecard Competitor Benchmarking for Quantifying Brand Health 20+ Retail and Consumer KPIs cost?
Pricing information for Global FMCG Data Brand Performance Scorecard Competitor Benchmarking for Quantifying Brand Health 20+ Retail and Consumer KPIs is available by getting in contact with Rwazi. Connect with Rwazi to get a quote and arrange custom pricing models based on your data requirements.
How can I get Global FMCG Data Brand Performance Scorecard Competitor Benchmarking for Quantifying Brand Health 20+ Retail and Consumer KPIs?
Businesses can buy Consumer Behavior Data from Rwazi and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Rwazi can deliver this product in .json, .csv, and .xls format.
What is the data quality of Global FMCG Data Brand Performance Scorecard Competitor Benchmarking for Quantifying Brand Health 20+ Retail and Consumer KPIs?
Rwazi has reported that this product has the following quality and accuracy assurances: 100% Zero-Party Data. You can compare and assess the data quality of Rwazi using Datarade’s data marketplace.
What are similar products to Global FMCG Data Brand Performance Scorecard Competitor Benchmarking for Quantifying Brand Health 20+ Retail and Consumer KPIs?
This product has 3 related products. These alternatives include Psychographic Data, Consumer Lifestyle and Interest (Investing, Health and Fitness, Purchase Data, etc) Enrichment B2C, USA, CCPA Compliant, Consumer Marketing Data API Tailored Consumer Insights Target with Precision Best Price Guarantee, and The Data Appeal Consumer Data API & Dataset 251 POI Mapped 180+ countries GDPR-Compliant Historical Data Since 2019. You can compare the best Consumer Behavior Data providers and products via Datarade’s data marketplace and get the right data for your use case.