Shopper marketing blog

Transform your FMCG brand with CheckoutSmart's innovative 3C Consumer Experience framework. Focus on complaints, complacency, and compliments to discover how continuous consumer feedback can enhance your consumers' experience.

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

Consumer-facing brands should leverage bespoke consumer feedback data to train or fine-tune AI / ML models to get ahead. These expert models can help them gain valuable insights into consumer preferences, behaviours, and sentiments, enabling them to optimise product descriptions, packaging design and advertising copy.

One application we have developed for such AI models is to assess and classify product reviews with helpful tags. Using consumer feedback as the basis, we have created proprietary measures of product reviews, such as how influential an individual review is and how strongly it reviews the product's taste or effectiveness.

By analysing these new measures, brand owners can identify their performance and patterns in consumer reviews, generate new insights, compare themselves to competition and even highlight individual reviews for a specific purpose, such as "suitable for advertising". 

Using bespoke shopper data to train AI models represents a significant opportunity for consumer-facing brands to enhance their understanding of consumers and markets.

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:

The 3Ps of Supermarket Shopper Marketing

When launching your long-planned and lovingly-developed grocery NPD into supermarkets, it’s critical that it appeals to and is tried by the target consumers. Getting it into the hands, baskets and homes of the right grocery shoppers can be a daunting task, but here’s what you need to remember and how to go about it.

 

Supermarket shoppers are the key to NPD success as they are the ones who actually pick the product off the shelves and take it home, regardless of whether they, or someone else in their household is the end consumer. This is the crux of  Shopper Marketing and understanding the art  of getting shoppers to Pause, Pick up & Pay for your product is known as the 3 Ps of shopper marketing.

This time we are looking at the face & body moisturiser category in the UK. We particularly want to look at which companies and brands are doing well i.e., have good positive reviews that are up to date and will influence shoppers and those who need to be a bit smarter.

We are also keen to understand more about moisturisers from a shoppers' perspective. What do they say about the category, what language do they use to describe it, and how do they see the relative merits of brands?

To do this, we have gathered and analysed all the reviews on facial and body moisturisers in the top UK online supermarkets since 2020. We processed them through quality control, removing all the unhelpful “!!!!!!!!” etc., that some reviewers like to use, then pivoted, tabled, graphed, AI-analysed, discussed, and debated. Finally, we came out with what we think are the more interesting points about the moisturiser reviews in UK supermarkets.

We focussed on the top 6 brands analysed, selected by the total number of reviews found across ASDA, Tesco, Sainsbury's, Morrisons, and Ocado for 2020 - 2023.

1. Brands with more reviews, have lower quality reviews
2. The most popular Shopper dimensions for moisturiser are:
   1. Absorbs Easily – Doesn’t Absorb easily
   2. Not Greasy - Greasy
   3. Smells great – Does not smell Great
   4. Good for Dry skin – Not good for dry skin
   5. Good for Sensitive skin – Not good for sensitive skin
   6. Good for Lines/wrinkles – Not good for lines/wrinkles
   7. Good to Soft skin – Not good to soften skin
3. Despite having lots of reviews all brands need new reviews on the majority of SKUs.

It's obvious when you think about it, that for online grocery shoppers selecting products to put in their basket, product Rating out of 5 is always more important than the number of Reviews, right?

Well, wrong actually and not just wrong occasionally, wrong most of the time. From our research of 3,710 online supermarket shoppers we know that when the average Ratings for two similar products are different by as much as 0.3 eg 4.2 vs 4.5, then the number of Reviews is much more important in product choice. Let me give you an example:

As we go through a surge in online shopping, now is the perfect time to ensure your brands get their fair share of sales both now and in the future. Of course you should ensure you have the right images and descriptions, as these form "the basics" of eCommerce. It is also fundamental to your success to offer the undecided a perspective from their fellow shoppers through Ratings & Reviews. Genuine shopper product reviews delivered from validated buyers directly to the retailer sites, without any moderation on a specific sku are the best way of doing this and will make an immediate impact to sales.

Delivering Ratings & Reviews

In this article, you will discover how we use AI text analysis to unlock valuable shopper insights and change the way our clients understand customer preferences and behaviours. By the end, you will understand how we go from thousands of text-based product reviews to something as simple and useful as this:

Creating actionable shopper insights has always been crucial for businesses looking to get an advantage in consumer goods. By analysing the text content of shopper reviews using AI technology, consumer goods businesses can gain valuable insights into customer preferences and behaviours. AI (Large Language Model) text analysis allows businesses to go beyond simple quantitative data and understand the emotions, opinions, and sentiments expressed by shoppers in their reviews.

In 2018 we conducted research that showed 65% of our members look at our app when they are planning their food shopping, and 35% while they shop in the supermarket*. It is clear that grocery cashback apps are an excellent route to deliver shopper marketing goals (we have more on the whole Shopper Marketing approach here)

For example, we can use Geo targeting to serve brand advertising right onto consumers mobile devices at the first moment of truth, but the power of these apps goes a lot further than simply helping to raise brand awareness.

Based on our experience as Europe's No.1 grocery cashback organisation, here are the top 10 ways you can start using these apps to your advantage today: