Data Blog by Lizeo
According to a recent study conducted by Ipsos in 2023, 92% of French people admit to scrutinizing online customer reviews before finalizing a purchase. This trend clearly indicates that consumers place more trust in the firsthand experiences of their peers than in traditional advertising.
In this context, it becomes imperative for brands to delve deeper into the analysis of these comments in order to better understand how customers perceive their products.
This includes understanding the reasons for their satisfaction, as well as the reasons for their dissatisfaction. This valuable information can serve as a compass to guide your future product developments and improvements.
By scrutinizing these reviews, it is also possible to identify opportunities for innovation. Indeed, the flaws or shortcomings mentioned by consumers can serve as points of reflection to refine your offerings and more effectively meet market expectations.
In summary, the analysis of online customer reviews represents an essential strategic tool for staying competitive and meeting your customers’ needs in an informed manner.
The collected data allows brands to analyze consumer feedback on their own products as well as to compare themselves to the competition. In the insights identified below, our analysis focuses on the small household appliances market, particularly oil-free fryers.
Examples of insights:
The collected data allows for the identification of popular themes and characteristics mentioned in customer comments. Among them:
Examples of insights:
Analyzing consumer sentiment regarding a theme allows for the identification of pain points and a deeper understanding of whether the theme reveals a positive, negative, or neutral aspect of the product or service.
Examples of insights:
This comparison with the competition allows for the extraction of powerful insights on several fronts:
Marketing/Advertising Positioning: Identifying key points to enrich marketing and sales arguments.
Product Evolution: Identifying recurring issues to improve future product versions.
Purchase Decision: Identifying themes that will reassure the consumer or have no influence on the decision-making process.
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