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Datasets:
buy-positive-review
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reputation-benchmarks

Modalities:
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Formats:
csv
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Tags:
review-reputation-engine
online-review-monitoring
reputation-insights
customer-feedback
brand-presence
review-visibility
Libraries:
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pandas
Polars
License:
Dataset card Data Studio Files
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id
int64
1
20
brand
stringlengths
8
18
platform
stringclasses
10 values
review_visibility_score
int64
84
90
reputation_health_score
int64
80
86
feedback_pattern_score
int64
82
88
platform_coverage_score
int64
76
84
response_rate_score
int64
86
92
brand_presence_score
int64
80
86
overall_reputation_index
int64
81
88
priority_action
stringclasses
1 value
google_score
int64
84
90
trustpilot_score
int64
80
86
yelp_score
int64
76
84
app_stores_score
int64
80
86
industry
stringlengths
5
16
notes
stringlengths
16
29
1
Restaurant Chain
google
88
84
86
80
90
84
85
Platform Coverage
88
84
80
84
Food & Beverage
Strong Google review presence
2
E-commerce Brand
trustpilot
86
82
84
78
88
82
83
Platform Coverage
86
82
78
82
Retail
Trustpilot-focused brand
3
SaaS Platform
g2
90
86
88
82
92
86
87
Platform Coverage
90
86
82
86
Software
B2B review focus
4
Hotel Chain
tripadvisor
84
80
82
76
86
80
81
Platform Coverage
84
80
76
80
Hospitality
Hospitality review profile
5
Healthcare Clinic
google
88
84
86
80
90
84
85
Platform Coverage
88
84
80
84
Healthcare
Medical practice reviews
6
Law Firm
google
86
82
84
78
88
82
83
Platform Coverage
86
82
78
82
Legal
Professional service reviews
7
Mobile App
app-store
90
86
88
84
92
86
88
Platform Coverage
90
86
84
86
Technology
App store review focus
8
Retail Store
google
84
80
82
76
86
80
81
Platform Coverage
84
80
76
80
Retail
Local retail reviews
9
Fitness Studio
yelp
86
82
84
78
88
82
83
Platform Coverage
86
82
78
82
Health & Fitness
Local fitness reviews
10
Financial Advisor
google
88
84
86
80
90
84
85
Platform Coverage
88
84
80
84
Finance
Professional trust reviews
11
B2B Software
capterra
90
86
88
82
92
86
87
Platform Coverage
90
86
82
86
Software
Capterra review strategy
12
Beauty Brand
amazon
86
82
84
78
88
82
83
Platform Coverage
86
82
78
82
Beauty
Product review monitoring
13
Education Platform
trustpilot
88
84
86
80
90
84
85
Platform Coverage
88
84
80
84
EdTech
Online learning reviews
14
Real Estate Agency
google
84
80
82
76
86
80
81
Platform Coverage
84
80
76
80
Real Estate
Agent review profile
15
Tech Startup
producthunt
86
82
84
78
88
82
83
Platform Coverage
86
82
78
82
Technology
Startup review launch
16
Insurance Broker
google
88
84
86
80
90
84
85
Platform Coverage
88
84
80
84
Insurance
Trust-based reviews
17
Travel Agency
tripadvisor
90
86
88
82
92
86
87
Platform Coverage
90
86
82
86
Travel
Travel review coverage
18
Dental Practice
google
86
82
84
78
88
82
83
Platform Coverage
86
82
78
82
Healthcare
Dental practice reviews
19
Car Dealership
google
84
80
82
76
86
80
81
Platform Coverage
84
80
76
80
Automotive
Dealership review profile
20
Digital Agency
clutch
88
84
86
80
90
84
85
Platform Coverage
88
84
80
84
Marketing
Agency review portfolio

Review Reputation Engine Benchmarks

DOI

Benchmark dataset of 20 review reputation cases with individual scores for review visibility, reputation health, feedback pattern, platform coverage, response rate, and brand presence.

Built by BuyPositiveReview.online.

Dataset Description

This dataset contains benchmark data for a lightweight review reputation engine helping businesses organize, analyze, and monitor online review signals for a stronger brand presence.

Columns

Column Type Description
id integer Case ID
brand string Brand name
platform string Primary review platform
review_visibility_score integer Review visibility score (0-100)
reputation_health_score integer Reputation health score (0-100)
feedback_pattern_score integer Feedback pattern score (0-100)
platform_coverage_score integer Platform coverage score (0-100)
response_rate_score integer Response rate score (0-100)
brand_presence_score integer Brand presence score (0-100)
overall_reputation_index integer Overall reputation index (0-100)
priority_action string Lowest scoring signal to act on first
google_score integer Google channel score
trustpilot_score integer Trustpilot channel score
yelp_score integer Yelp channel score
app_stores_score integer App stores channel score
industry string Industry category
notes string Case notes

Score Interpretation

Score Status Action
0-30 Critical Immediate reputation intervention required
31-60 At Risk Significant reputation improvements needed
61-80 Healthy Monitor and maintain reputation strategy
81-100 Excellent Strong reputation — scale review strategy

Usage 

import pandas as pd
df = pd.read_csv("reputation_benchmarks.csv")
print(df.head())

Citation

BuyPositiveReview.online. (2026). Review Reputation Engine. Zenodo. https://doi.org/10.5281/zenodo.21924233

Links

Platform URL
Website https://buypositivereview.online
GitHub https://github.com/Buy-Positive-Review/review-reputation-engine
NPM https://npmjs.com/package/@buy-positive-review/review-reputation-engine
PyPI https://pypi.org/project/review-reputation-engine
Zenodo https://doi.org/10.5281/zenodo.21924233
Pinterest https://www.pinterest.com/Buypositivereview/
SlideShare https://www.slideshare.net/slideshow/building-a-strong-online-reputation-strategies-for-authentic-customer-trust-and-digital-brand-growth/289223824
Medium https://medium.com/@BuyPositiveReview

License

MIT — BuyPositiveReview.online
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