Beyond The Stars

Michael Wagstaff • 23 January 2025

Why it's important to analyse customer reviews

Ratings and review sites like Trustpilot and TripAdvisor play an important part in consumer purchase decisions. Consumers read reviews to work out if they are likely to get what they pay for and whether it meets their needs. Brands also rely on these scores in their marketing to show how well they are trusted. How many adverts do you see where a brand gives its Trustpilot score as a way of instilling confidence in its products?


However, the simplicity of star ratings can often obscure the full customer experience. By focusing solely on these numerical metrics, brands risk missing critical insights that lie within the accompanying written reviews.


The whole story?

A five-star rating, for example, might seem like an excellent endorsement of a product or service. But without exploring the reviewer’s comments, brands may overlook subtle issues or areas for improvement. A customer may award top marks while expressing concerns about an aspect of their experience that didn’t detract from their overall satisfaction but could become a  problem if left unaddressed. For example, a five star TripAdvisor review might mention how much the reviewer loved their hotel stay, yet highlight that the check-in process felt unnecessarily slow. Without analysing the review, the hotel would remain unaware of an operational inefficiency that could negatively impact future customers less forgiving than the one who wrote the review.


Similarly, lower ratings often fail to tell the whole story. A one-star review might suggest serious dissatisfaction but the accompanying explanation could reveal it was the result of a one-off issue rather than a systemic problem. Without this context, brands might overreact or misdirect resources attempting to address perceived problems that don't actually exist. For example, a Trustpilot reviewer might give a meal kit company a one star review but the real cause of their dissatisfaction isn't the quality of the food but the fact that the delivery was and hour late.


Stars and their causes

Another significant limitation of numerical ratings is their failure to capture the causes of their overall score over time. Written reviews, on the other hand, can offer valuable insights into evolving trends, emerging pain points or changes in customer expectations. Tracking the language and themes within reviews allows brands to anticipate problems before they become widespread or identify opportunities to differentiate their offerings.


It's also important to acknowledge that ratings on sites like Trustpilot and Amazon tend to coalesce at the top and the bottom of the scale with fewer 2,3 and 4 star ratings. But these middle ratings can actually be more important than five star or one star reviews because they offer more nuanced insight into areas for improvement.


How to stay ahead

The true strength of written reviews lies in their ability to reveal not just what customers think but why they feel that way. This is incredibly powerful for brands looking to understand the underlying motivations, frustrations and desires that shape customer behaviour. Advanced text analytics tools make it possible to analyse these reviews at scale, identifying patterns and themes that would be impossible to discern manually. For marketing teams, this means being able to craft more resonant messaging and campaigns. For insight teams, it provides a deeper layer of understanding to inform strategic decisions.


Relying exclusively on star ratings risks reducing the complexity of customer experiences to an oversimplified number. The interplay between ratings and reviews is where the real value lies.


By moving beyond the stars and unpacking the meaning behind customer ratings, brands can stay ahead of the market, address potential issues before they become problematic and create experiences that encourage customer loyalty.

by Michael Wagstaff 8 April 2025
The huge volume of data available through consumer comments, reviews and surveys can make cutting through the noise difficult. In this article we discuss how text analytics combined with human expertise can uncover the insight.
by Michael Wagstaff 10 March 2025
Market research agencies are going all in on AI based models to generate next level consumer insight. But are these just more illusion than substance?
by Michael Wagstaff 3 March 2025
With the online survey already on the ropes due to poor quality, has data science finished it off?
by Michael Wagstaff 24 February 2025
Research agencies are pinning their futures on AI. Are they right to do so or are we missing trick by ditching the human?
by Michael Wagstaff 12 February 2025
Online surveys suffer from fake, ill considered and unrepresentative responses. What can be done to improve their reliability? Triangulation is the key.
by Michael Wagstaff 11 February 2025
With so many agency panels riddled with fake respondents resulting in poor quality data, are we witnessing the end of the online survey?
by Michael Wagstaff 6 February 2025
With the January transfer window closed, we run our predictive model to work out the probabilities of where each team will finish in the final Premier League table.
by Michael Wagstaff 5 February 2025
In this latest article in our series on the power of text analytics we look at how sentiment analysis can be used to really understand what customers think about product offerings.
by Michael Wagstaff 17 January 2025
Start making sense of customer review and feedback data by using text analytics. In the first of a series of articles we discuss how it can help your business.
by Michael Wagstaff 9 January 2025
In this article look at the state of the market research industry in 2025 and highlight poor sample, over reliance on AI and the dumbing down of agency expertise as destabilising factors that urgently need addressing.
Show More