PubScore Algorithm

How PubScore Works

Our sophisticated algorithm analyses multiple data points to create a comprehensive quality score from 0-100

Data Collection

We gather reviews, ratings, and metadata from multiple trusted sources including Google, TripAdvisor, and verified customer feedback.

Quality Assessment

Each review is evaluated for authenticity, relevance, and detail. We filter out spam and ensure only genuine feedback influences the score.

Weighted Calculation

Multiple factors are weighted based on importance and reliability, creating a balanced representation of pub quality.

Score Generation

The final PubScore is calculated and regularly updated as new reviews and data become available.

Key Factors

Six primary components contribute to every PubScore, each weighted according to its impact on customer experience

Review Quality

Detailed, authentic reviews from verified customers carry more weight than brief or suspicious feedback.

Average Rating

Overall customer satisfaction scores from multiple platforms, normalised and weighted by source reliability.

Rating Consistency

Pubs with consistently good ratings score higher than those with highly variable customer experiences.

Review Volume

More reviews provide greater confidence in the score, but quality always trumps quantity in our algorithm.

Review Recency

Recent reviews are weighted more heavily to reflect current pub quality and management changes.

Source Credibility

Reviews from established platforms and verified customers receive higher weighting in our calculations.

Our Methodology

The PubScore algorithm was developed through extensive analysis of customer behaviour and satisfaction patterns across thousands of UK pubs. We studied what factors most accurately predict whether customers will have a positive experience.

Our machine learning models continuously refine the weighting of different factors based on real-world outcomes. This means PubScore becomes more accurate over time as we gather more data about customer preferences and satisfaction patterns.

Transparency & Fairness

We believe in transparent, fair scoring. Every pub has an equal opportunity to achieve a high PubScore based purely on customer satisfaction and service quality.

The algorithm is designed to be immune to manipulation. We use sophisticated fraud detection to identify fake reviews, and our multi-source approach means no single platform can unfairly influence a pub's score.

Understanding the Scores

PubScore ranges from 0-100, with clear bands indicating the quality level you can expect

94-100

Exceptional

Outstanding pubs that consistently exceed expectations with exceptional service, atmosphere, and quality.

88-93

Good

Reliable pubs offering good experiences with quality service and positive customer feedback.

80-87

Average

Decent pubs that meet basic expectations but may lack consistency or standout features.

60-79

Bad

Pubs with significant issues affecting customer satisfaction and overall experience quality.

0-59

Very Bad

Pubs with serious problems that consistently result in poor customer experiences.

Continuous Improvement

PubScore is not static. We continuously monitor and improve our algorithm based on customer feedback and changing market conditions. Our data science team regularly reviews the weightings and methodology to ensure scores remain accurate and relevant.

We're committed to helping customers find great pubs whilst giving every establishment a fair opportunity to showcase their quality through genuine customer satisfaction.