Shopper marketing blog

The recent meteoric rise of artificial intelligence (AI) models is revolutionising how we interact with computers and access information online. But has AI made a significant difference in ratings and reviews, and is it what shoppers want?

Amazon has rolled out generative AI to create succinct product-level summaries of reviews for many of its products to support shoppers' decision-making process. Several clients have asked us to explore how this has impacted a shopper’s experience when using Amazon and understand how these features are perceived compared to ‘traditional’ ratings and reviews.

To do this, we created a study to research how regular Amazon shoppers use the site. The study simulates the shopping process for a selection of grocery category products. 

We received over 2500 responses, and our key findings challenge the notion that AI automatically benefits users.

The 4 key takeaways are:

1. Individual Ratings and reviews are as important as ever
2. Shoppers don't hang around when shopping for groceries on Amazon
3. Amazon's AI features are hardly used or even noticed
4. There is little evidence of AI improving the shopping experience, but the generations split opinion

Paul Lees our MD sat down with Francis Nicholas of eStoreMedia to talk about the ratings and reviews in the Moisturiser category. In 25 minutes they covered which retailers carry reviews, how many there are, which brands have them, whether they have enough reviews and then some fascinating insights from the reviews themselves.

The Top 3 points he made were:

1. There are 7 dimensions to Moisturiser according to the shopper reviews and Nivea does very well in 4 of them, giving them a strong position.
2. Individual reviews matter when it comes to reviews it is not just about numbers. Shoppers read the top few reviews they see regardless of how many there are in total.
3. We have a measure of how influential reviews are: "Influence score". This shows that L'Oreal has the most influential reviews and Olay from Procter & Gamble (P&G) has the lowest in the category.

This kind of category work providing market coverage, opportunities and category insights is available for all categories. Contact us to understand what we can do for you.

Meanwhile, please watch and learn more about reviews and moisturisers:

Update: Since this post was created, it would appear that ChatGPT has made it impossible to analyse reviews from a URL. You can still copy and paste reviews for it to summarise.

I am sure just about everyone has heard of ChatGPT. Many have also given it a quickly go and been amazed with what it can do. Having said that, exactly how practical is it for work purposes?

If you do know ChatGPT, please go to the bottom of this article to get the AI created introduction:

Well, if you're an e-commerce manager, shopping marketing manager, or brand manager, there's a practical application of ChatGPT that you can use today to get fresh insights into customer reviews of your products on Amazon. By using ChatGPT to summarize the reviews, you can quickly and easily gain valuable insights that can help you make informed decisions about your products and marketing strategies.

In the second month of their online grocery shopping tracker, CheckoutSmart continues to bring fresh insights into this fast-growing, fast-changing market.

NB The numbers below are deliberately obscured, if you would like to know the answers please contact us.

CheckoutSmart create groundbreaking online grocery shopping tracking service for FMCG brands & retailers in the UK

Today CheckoutSmart launched its online grocery shopping usage tracker as part of its SmartResearch services. Using feedback from thousands of grocery shoppers each month, CheckoutSmart will track the usage of the online grocery supermarkets, Amazon grocery, Food Aggregators and Q-Commerce all in one place.

This will allow brands & retailers to:

• Track the scale and trends of each grocery delivery sub-sector and the players within them. 
• Make decisions about their investments and the relative importance of each player
• Use the data to engage with their businesses in discussions about the prioritisation of channels and the resources required.