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Pre-Holiday Sales Analysis – How to Leverage Data to Increase Store Profits?

  • Writer: Karolina Dyrla-Mularczyk
    Karolina Dyrla-Mularczyk
  • Dec 17, 2024
  • 2 min read

Updated: Mar 17

The pre-holiday season is a crucial time of the year for retail, with both online and brick-and-mortar stores facing a significant influx of customers, which comes with various challenges. To effectively boost sales and improve financial results, it is essential not only to analyze data but also to understand how to use it properly—drawing conclusions and formulating practical recommendations. As a company specializing in sales data analysis, we offer solutions that help increase store profits.


Pre-holiday sales analysis enables stores to understand consumer behavior and identify key trends that can contribute to increased profits. Through detailed analysis of data, such as peak sales hours, customer preferences, purchase locations (online vs offline), and spending on specific product categories, stores can precisely plan their marketing and logistics strategies.



Hourly Sales - offline and online
Data Source: zoomcharts.com, Analysis Performed by: Stat.Haus

Analysis of Peak Sales Hours Enables Effective Planning of Promotional Activities

  • Recommendation: Data shows that the peak online shopping hours occur in the evening and morning. It is advisable to launch time-limited promotional campaigns during these hours to maximize sales.


product category sales - chart
Data Source: zoomcharts.com, Analysis Performed by: Stat.Haus

By Analyzing Historical Data, Stores Can Predict Demand for Specific Products

  • Recommendation: If toy sales have increased by 30% in the first two weeks of December in previous years, it is important to ensure adequate stock levels and launch earlier advertising campaigns.

  • Recommendation: In the apparel industry, it is advisable to increase stock levels of warm sweaters and winter accessories, which are popular holiday gifts.




average total price by age, gender and category of product
Data Source: zoomcharts.com, Analysis Performed by: Stat.Haus


Demographic Analysis of Customers Enables More Effective Targeting of Advertising Campaigns

  • Recommendation: If analysis indicates that women aged 25–40 make up the largest group of customers purchasing clothing during the pre-holiday period, it is advisable to target advertising campaigns on social media with clothing offers.


What We Offer

Our company goes beyond just data analysis – we provide comprehensive support in data interpretation and deliver actionable recommendations that help stores implement effective sales strategies. Our reports and insights not only assist in understanding the data but also guide decision-making, leading to real improvements in sales growth. The examples provided above are just a suggestion for presenting data in the form of visualizations in R Shiny. The most important part of our work is preparing practical recommendations based on the reports derived from data analysis.


How It Works

  1. Data Collection: We gather sales data from various sources (online, offline, marketing campaigns, promotional activities).

  2. Analysis: We conduct a detailed analysis to identify sales patterns, key factors influencing performance, and areas that need improvement.

  3. Recommendations: Based on the analysis results, we provide specific, actionable insights to help optimize product assortment, marketing efforts, and promotion timing.

  4. Reports: We prepare clear reports with analysis and recommendations that simplify decision-making.



In today's competitive market, relying on intuition is not enough. Data-driven decisions are the key to success. Pre-holiday sales analysis will help stores:

  • Predict demand for specific products,

  • Personalize offers and advertising campaigns,

  • Increase sales through more effective promotions,

  • Improve the customer shopping experience,

  • Build customer loyalty.

With us, you will gain the tools to make accurate decisions based on facts, not guesswork. If you want to optimize your sales and prepare your store for the sales peak in 2025,





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