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The Retail Transformation – Keys to Success in the Digital Age

  • Writer: Juho Häyrynen
    Juho Häyrynen
  • Sep 25
  • 3 min read
Modern retail is no longer just about selling products and services. It's a dynamic ecosystem where success is built on a deep understanding of the customer, a unique concept, and efficient supply chain management. Technology, in particular, has fundamentally changed the industry.


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Finnish retail experts Heikki Peltola, Kari Neilimo, Lasse Mitronen, and Hannu Kuusela, in their book "Kaupan Huiput - Kun hyvä ei riitä" (Roughly translates to "Top Performers of Commerce - When good isn't enough"), have analyzed the history of Finnish retail businesses and the factors affecting competitiveness. I am now considering how technology, especially online search data that predicts consumer purchasing intent, can create an unfair competitive advantage in the areas highlighted in the book.


The Customer Is at the Core


A successful retailer must understand its customers more deeply than ever before. Customers shouldn't be seen as passive targets, but as active participants with individual needs who are actively involved in the purchasing process. Customer insight is built on collected data, but its true value is unlocked when that information is analyzed and refined.


This is where consumer search data offers a tremendous, yet often underutilized, opportunity for retailers. Traditional in-store data only tells you about completed purchases, but search engines, like Google, record millions of daily searches that reveal consumer intentions, interests, and desires in real-time.


Consumer searches provide an unprecedented view into developing trends. By analyzing this data, retailers can identify which product categories are growing and which are declining. For example, search volumes can reveal a budding interest in certain product types or brands long before they appear in sales figures. This information helps retailers not only react quickly but also anticipate and develop their product selection to meet tomorrow's consumer demand. The knowledge that certain products or services are highly searched for but difficult to find is a valuable competitive advantage.


The Concept Is a Competitive Asset


A retailer's concept must stand out from its competitors. It's not just a product selection but a unique customer experience based on a comprehensive understanding of what the customer wants.


Search data supports the development of this concept by providing in-depth information on the customer's mindset. Instead of a retailer assuming what customers want, it can base its decisions on authentic demand signals. For example, by analyzing search terms, a retailer can identify specific needs that the current market isn't meeting and create services or products to fill those gaps. For instance, a clothing retailer could use search data to see a growing interest in certain eco-friendly materials and develop a collection based on that insight.


Supply Chain Efficiency Through Data


The third pillar of success is an efficient supply chain. In the digital world, the supply chain is a tight-knit network where all participants share information.


Here, too, search data serves as a valuable resource. With a real-time view of demand, a retailer can optimize its ordering and logistics processes. Multinational e-commerce giants like Amazon use similar data models to predict demand and position products optimally in their warehouses. This information helps retailers avoid excess inventory and improve the efficiency of their supply chain. It also allows for a quicker response to shifts in demand.


New Answers to Old Questions


While the fundamental principles of retail marketing remain the same, digital technology has transformed the ways they are executed. Increasingly, marketing is personalized and targeted, based on the customer's digital footprint, which includes search data.

Instead of marketing to the masses, retailers can target advertising to those who have shown interest in specific products based on their search history. This makes marketing more effective and improves the customer experience, as customers are shown ads that align with their needs.


The line between brick-and-mortar and online retail is blurring, and customers expect a seamless experience. Utilizing consumer search data is a key part of this integration, as it helps retailers understand how customers move from the search phase to the purchasing decision and enables them to serve them effectively across all channels. Technology doesn't replace people; it gives them new tools to understand and serve the customer.


Stay Ahead of the Curve with Maire


To effectively harness this power of search data, retailers need a solution that goes beyond basic analytics. Maire offers a modern, AI powered and automatically updating Software as a Service (SaaS) solution that provides an unparalleled view of consumer online search data. With Maire, you get:


  1. Automatically updating tracking and forecasting of the entire consumables retail industry demand in all markets.

  2. Automatically updating competitor tracking and country + category specific market share analyses.

  3. Automatically updating country and category overall competition analyses (share of branded searches).

  4. Lost sales category analyses to identify untapped revenue potential.

  5. A monthly updated Offering Score and the most significant gaps across the entire offering.


Maire empowers you to transform raw data into strategic insights, allowing you to make informed decisions and lead with confidence in the evolving retail landscape.

 
 
 

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