Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance product image in hero

Brand Scorecard – Service: Consumer experience, engagement, and retention metrics for evaluating service brand performance

Rwazi
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#
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
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Sign In To Preview Data
Volume
100K
Consumers per Market
Data Quality
100%
AI-ensured Quality
Avail. Formats
.json, .csv, and .xls
File
Coverage
250
Countries
History
6
months

Data Dictionary

[Sample] Brand Scorecard - Service.csv
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

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.
Brand Scorecard – Service Dataset The Brand Scorecard – Service dataset provides a comprehensive view of how consumers engage with and perceive service-based brands across multiple dimensions, including satisfaction, frequency of use, loyalty, and churn risk. It combines behavior-based metrics with attitudinal indicators to offer a data-driven snapshot of overall brand health within service sectors such as telecommunications, banking, insurance, streaming, or subscription-based software. This dataset is particularly valuable for teams looking to understand what drives retention, identify at-risk users, and benchmark performance across competing brands in a specific market. By tracking how often customers engage with services, how loyal they are, and how likely they are to switch providers, it becomes easier to tailor strategies that improve customer lifetime value and reduce attrition. Use Cases by Role Product Managers Identify which features are most used or underutilized Prioritize updates for segments with high churn risk Assess the effectiveness of service personalization efforts Marketing & CRM Teams Segment audiences based on brand affinity and referral likelihood Target promotions to users highly sensitive to pricing or discounts Design loyalty campaigns based on retention scores and churn risk Customer Support & Operations Benchmark satisfaction with service delivery and support responsiveness Track complaint resolution effectiveness over time Identify regional or demographic segments with higher dissatisfaction Strategy & Insights Teams Compare overall service performance across brands Forecast market penetration trends using acquisition and retention indicators Evaluate the effectiveness of personalization strategies on engagement Data Field Descriptions retail_channel_preference Indicates where the service is typically accessed—online, in-person, or a hybrid of both (e.g. bank branches vs. mobile apps). scorecard_id A unique identifier for each brand scorecard entry. overall_brand_score A composite score (1–100) reflecting the brand’s total performance based on satisfaction, engagement, and retention metrics. market_penetration_score The percentage of consumers currently using the brand’s services; a measure of market share within the target population. household_product_variety_index Tracks the number of different services from the same brand used within a household (e.g. internet + mobile + streaming). retail_channel_distribution Represents the balance or skew of usage across different access channels (e.g. online vs. in-person). promotion_responsiveness_index Measures how responsive users are to discounts, offers, or other promotions; helps gauge promotion elasticity. share_of_wallet Percentage of total spend within the category allocated to this brand, indicating user loyalty and value concentration. brand_affinity_score Quantifies consumer preference and emotional attachment to the brand. purchase_frequency_recency Tracks how often and how recently users have engaged with the service, indicating usage patterns. churn_risk_score Predicts the likelihood that a consumer will stop using the service in the near future. product_substitution_rate The percentage of users who switch between brands or substitute this brand with a competitor, indicating instability or dissatisfaction. new_customer_acquisition_rate Measures how many consumers started using the service in a given time period; a growth indicator. brand_loyalty_retention Captures the extent of repeat usage and brand commitment among current users. brand_engagement_market_presence Reflects visibility and consumer interaction with the brand in digital or physical environments. pricing_power_sensitivity Measures how sensitive users are to changes in service pricing—higher scores indicate lower tolerance to price increases. retail_distribution_strength Indicates how available or accessible the service is across platforms and regions. product_experience_consumption_fit Captures consumer satisfaction with how the service fits into their lifestyle, including usability and delivery quality. price_sensitivity_index Measures how overall pricing affects user behavior, including drop-off, switching, or plan changes. promotion_responsiveness_index (Repeated field) Measures how well promotional activities translate into engagement or conversion. product_substitution_rate (Repeated field) Shows how often users switch away from the brand due to price or service changes. bulk_purchase_behavior Percentage of users who purchase service bundles or long-term subscriptions to save money. brand_pack_preference_consumption_index Indicates which service tiers or bundles are most preferred by users. consumption_patterns_usage_frequency Measures how often the service is used; useful for identifying daily users vs. casual or infrequent users. share_of_wallet (Repeated field) Percentage of consumer spend allocated to this brand—duplicate entry in schema. shelf_visibility_availability_score N/A for service brands—generally refers to physical shelf presence; can be interpreted metaphorically for visibility in digital marketplaces. stockout_frustration_score Indicates user frustration with service interruptions, downtime, or feature outages. timestamp Date and time when the scorecard entry was recorded; useful for time series analysis and trend tracking.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

6 months of historical data

Volume

100,000 Consumers per Market

Pricing

Rwazi has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
AI-ensured Quality

Delivery

Methods
S3 Bucket
SFTP
Email
UI Export
REST API
Frequency
weekly
monthly
quarterly
yearly
on-demand
Format
.json
.csv
.xls

Use Cases

Categories

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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.

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