
Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance
# | scorecard_id |
timestamp |
overall_service_brand_score |
service_affinity_score |
subscription_usage_frequency_recency |
churn_risk_score |
provider_switching_rate |
new_customer_acquisition_rate |
market_penetration_score |
service_feature_usage_index |
referral_word_of_mouth_score |
customer_interaction_rate |
price_sensitivity_index |
perceived_value_score |
discount_promotion_responsiveness |
competitor_price_comparison_index |
service_accessibility_score |
regional_availability_index |
service_downtime_reliability_score |
customer_support_responsiveness |
user_satisfaction_score_nps |
ease_of_use_index |
complaint_resolution_efficiency |
service_customization_score |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
3 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
4 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
5 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
6 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
7 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx |
9 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
10 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | 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 | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
scorecard_id
|
Integer | 1001 | |
timestamp
|
DateTime | 2025-03-31T11:30:00+00:00 | |
overall_service_brand_score
|
Integer | 88 | |
service_affinity_score
|
Float | 76.4 | |
subscription_usage_frequency_recency
|
Float | 7.2 | |
churn_risk_score
|
Float | 15.3 | |
provider_switching_rate
|
Float | 10.5 | |
new_customer_acquisition_rate
|
Float | 42.7 | |
market_penetration_score
|
Float | 65.1 | |
service_feature_usage_index
|
Float | 71.2 | |
referral_word_of_mouth_score
|
Float | 84.5 | |
customer_interaction_rate
|
Float | 6.8 | |
price_sensitivity_index
|
Float | 38.4 | |
perceived_value_score
|
Float | 81.9 | |
discount_promotion_responsiveness
|
Float | 22.1 | |
competitor_price_comparison_index
|
Float | 55.3 | |
service_accessibility_score
|
Float | 94.7 | |
regional_availability_index
|
Float | 89.3 | |
service_downtime_reliability_score
|
Float | 96.2 | |
customer_support_responsiveness
|
Float | 91.1 | |
user_satisfaction_score_nps
|
Float | 88.7 | |
ease_of_use_index
|
Float | 90.2 | |
complaint_resolution_efficiency
|
Float | 87.3 | |
service_customization_score
|
Float | 78.6 |
Description
Country Coverage
History
Volume
100,000 | Consumers per Market |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance?
This dataset measures service brand performance through consumer behavior, satisfaction, loyalty, and retention metrics—covering usage frequency, churn risk, pricing sensitivity, feature engagement, and customer support responsiveness.
What is Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance used for?
This product has 5 key use cases. Rwazi recommends using the data for Competitor Analysis, Product Research, Competitive Intelligence, Market Share Analysis, and Marketing Strategy. Global businesses and organizations buy Brand Affinity Data from Rwazi to fuel their analytics and enrichment.
Who can use Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Brand Affinity 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 Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance go?
This product has 6 months of historical coverage. It can be delivered on a weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance 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 Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance cost?
Pricing information for Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance 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 Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance?
Businesses can buy Brand Affinity 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 Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance?
Rwazi has reported that this product has the following quality and accuracy assurances: 100% AI-ensured Quality. You can compare and assess the data quality of Rwazi using Datarade’s data marketplace.
What are similar products to Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance?
This product has 3 related products. These alternatives include Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis, The Data Appeal Marketing Data API, Dataset 200 Million + POI Data Mapped Explore customer experience insights and business popularity., and Global Insurance Data Analyze Insurance Trends, Consumer Behaviors and Demographic Segmentation. You can compare the best Brand Affinity Data providers and products via Datarade’s data marketplace and get the right data for your use case.