As of February 2025, the Tesco Clubcard app had ** million users, out of which **** million resided in the United Kingdom (UK). In the United Kingdom, ** million households were active members of the loyalty program.

In 2024, Tesco Clubcard was the supermarket loyalty program with highest awareness level in the United Kingdom. During a survey, ** percent of responding British adults stated they were aware of the program. Sainsury's Nectar ranked second, named by ** percent of respondents.

According to a 2024 survey, the Tesco Clubcard was the most popular loyalty program in Great Britain, named as appealing by ** percent of respondents. The Nectar program came in second with ** percent, followed by the Boots Advantage Card with ** percent. Overall, supermarket programs dominated the list of most popular loyalty schemes in Great Britain.

Over ************** of consumers had used a Tesco Clubcard personally in Great Britain when surveyed in April 2025, making it the most popular loyalty scheme. Sainsbury's Nectar ranked in second place.

How high is the brand awareness of Tesco in the UK?When it comes to grocery store customers, brand awareness of Tesco is at 97percent in the UK. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Tesco in the UK?In total, ** percent of UK grocery store customers say they like Tesco. What is the usage share of Tesco in the UK?All in all, ** percent of grocery store customers in the UK use Tesco.How loyal are the customers of Tesco?Around ** percent of grocery store customers in the UK say they are likely to use Tesco again. Set in relation to the **% usage share of the brand, this means that **% of their customers show loyalty to the brand.What's the buzz around Tesco in the UK?In ************, about ** percent of UK grocery store customers had heard about Tesco in the media, on social media, or in advertising over the past three months. Meaning at the time of the survey there was some buzz around Tesco in the UK.

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The process of extracting and analyzing supermarket data involves an intricate series of steps, from web scraping product details directly from the websites of leading supermarkets like Aldi, ASDA, Morrisons, Sainsbury's, and Tesco, to processing and analyzing this data for actionable insights. This comprehensive approach leverages Python's powerful libraries such as Pandas for data manipulation, Selenium for web scraping, and Urllib.3 for URL handling, ensuring a robust data extraction foundation.

Web scraping is the first critical step in this process. Customized functions are developed for each supermarket to systematically navigate through their web pages, extract essential product information like names, prices, price per unit, and images, and handle various common exceptions gracefully. This meticulous data collection is structured to restart automatically in case of any hitches, ensuring no data loss and maintaining the integrity of the extraction process.

Once the data is scraped, it undergoes a detailed processing phase. This involves consolidating the collected information into unified datasets, performing spatial joins to align data accurately, and applying category simplification for better analysis. Notably, for supermarkets like Tesco, additional steps are taken to incorporate Clubcard data, ensuring the most competitive prices are captured. This phase is critical for preparing the data for in-depth analysis by cleaning, structuring, and ensuring it is comprehensive.

Quality assurance plays a pivotal role throughout the process. A dedicated data quality script scrutinizes the extracted data for discrepancies, checks the completeness of the web scraping effort, and validates the processed data for any null values or inconsistencies. This step is crucial for ensuring the reliability of the data before it moves to the analysis stage.

The analysis of the data is multifaceted, focusing on pricing strategies, brand popularity, and product categorization. Through the use of tables, graphs, word clouds, and treemaps, the analysis reveals insights into pricing patterns, brand preferences, and category distributions. Additionally, a recommender system based on Singular Value Decomposition (SVD) enhances the analysis by providing personalized product recommendations, demonstrating the application of advanced machine learning techniques in understanding customer preferences.

Moreover, the analysis extends to price comparisons using TF-ID matrices and examines pricing psychology to uncover tactics used in product pricing. This nuanced analysis offers a deep dive into how pricing strategies might be influenced by psychological factors, competitive pressures, or inflation.

An interesting aspect of the analysis is monitoring price changes over time, which involves calculating average prices per category on a weekly basis and analyzing the percentage changes. This dynamic view of pricing helps in understanding market trends and making informed decisions.

Finally, the culmination of this extensive process is the deployment of the application to the cloud via Streamlit, facilitated through GitHub. This deployment not only makes the application accessible but also showcases the integration of various components into a streamlined, user-friendly interface.

In summary, the end-to-end process of web scraping, data processing, and analysis of supermarket data is a comprehensive effort that combines technical prowess with analytical insight. It underscores the power of Python in handling complex data tasks, the importance of data quality in analytical projects, and the potential of data analysis in unveiling market trends and consumer preferences, all while ensuring accessibility through cloud deployment. This meticulous approach not only aids in strategic decision-making but also sets a precedent for the application of data science in the retail industry.

This statistic shows the share of consumers using the leading three customer loyalty card schemes in the United Kingdom (UK), according to a consumer survey conducted in December 2013. The biggest loyalty scheme in the UK is Tesco Clubcard, with 80 percent of respondents claiming to own a card.

Loyalty card usage among shoppers in the United Kingdom (UK) was seen more frequently among older age groups. According to the results of a consumer survey, when asked about the frequency of using their loyalty card for main shopping activities (such as grocery shopping), only ** percent of shoppers in the age group ***** said they always did. This rate was the highest for those aged 65 or older, at ** percent.

In 2024, Tesco's was the most used supermarket loyalty card/scheme in the United Kingdom. According to a survey, ** percent of responding British adults stated using Tesco's loyalty card the most. Sainsury's ranked second, chosen by ** percent of respondents.

This statistic shows the results of a survey in which respondents were asked whether they have a loyalty card in the United Kingdom (UK) in 2016. Equal portions of ** percent have either a Tesco Clubcard or Sainsbury's Nectar card.

This statistic shows the results of a survey in which respondents were asked whether they have a supermarket loyalty card or credit card in the United Kingdom (UK) in 2016. A majority of ** percent of respondents have a Tesco Clubcard, followed by ** percent with a Sainsbury's Nectar Card.

In September 2022, Asda Rewards ranked first in the shopping category with approximately **** million downloads by iPhone users in Great Britain. The second-hand clothing platform Vinted followed with roughly *** thousand downloads in the examined period, while Tesco Clubcard amassed over *** thousand downloads from British iPhone users.

Generation Z engagement with loyalty programs in Great Britain increased, according to the survey conducted in January 2024. That year, 74 percent of female Gen Zers were members of a loyalty scheme, up from 57 percent two years earlier. Among men, the share increased to 61 percent.

Dunnhumby Limited generated revenues of ****** million British pounds in its financial year spanning from March 2023 to February 2024.

Dunnhumby Limited: provider of customer data science solutions Founded in 1989 as a family business, dunnhumby is a customer data science company headquartered in the United Kingdom, with offices in more than ** countries. The company works with various retail sectors such as grocery, pharmacy, and financial services. It is a subsidiary of British grocery and general merchandise retailer Tesco PLC, and it operates the retailer's retail media business.

Tesco PLC’s loyalty program: a winning strategy for the UK’s top retailer Operating for more than a century, Tesco PLC was the leading retailer by a wide margin based on market capitalization in the UK as of mid-October 2024. One of the factors that can explain the company's success is the loyalty program it offers. Through the loyalty program, the company rewards customers who make regular purchases and tries to increase their brand loyalty and revenues. As of May 2024, Tesco Clubcard — the retailer's main loyalty card — was the best-known supermarket loyalty program in the UK.