Summary:
Your sales rose by six percent this quarter but how much did you gain as a marketplace leader? Chances are the category grew by twelve percent. You fell behind the competitive benchmark. Retail market share analytics helps you answer questions about gains and losses and shows where to invest to grow your brand presence. Retail market share analytics turns that guesswork into a clear, data-backed plan. Here is what we will cover: what retail market share analytics really means, where it shows your growth opportunities and how to build an analysis that tells you where to invest first.
Retail market share analytics helps you understand your brand’s position to the category and measure your performance across different retailers, channels, regions and segments. The ultimate purpose is to identify and capitalize on share-growth leverage.
What Is Retail Market Share Analytics?
Retail market share analytics means analysing the brand’s market share usually expressed in value or volume of sales or number of units versus the category for a particular retailer, channel, region or segment. The objective is to understand where the brand is gaining or losing ground versus the competition and to prioritise investments in areas where the share-growth leverage’s the highest. It typically uses sell-out data at the retailer level, distributor level or category analyst level.
Market share analysis is not about sales. About the position versus the category. Sales data tells you how much you sold.. To understand how well you are doing you need to interpret your sales figures in the context of the overall category.
Why Is Share Data More Informative Than Sales Data?
Sales data tells you how much you sold; share data tells you how well you performed versus the category. If the category grows by twelve percent and you only grow by five percent you are actually losing ground even though your sales figures look good on paper.that sales data does not highlight. This is exactly the kind of blind spot retail market share analytics is built to catch.in addition share data helps you see inconsistencies and opportunities for growth that sales data does not highlight. for example you may perform well at some retailers. Not at others or you may have a strong presence in large-pack sizes but not in the quickly growing small packs.
More and more companies recognise the importance of using analytics, including market share analysis. In fact the global retail analytics market is estimated to be worth ten point two million dollars in 2025. Is projected to reach thirty-seven point one eight million dollars by 2034 registering a CAGR of fourteen point nine percent. According to Mordor Intelligence retailers are witnessing an increased need for services and expertise that go beyond algorithms as data on its own is not enough. So it is no surprise that brands invest significantly in analytics to inform their strategy in pricing, promotions and assortment.this is exactly the kind of blind spot retail market share analytics is built to catch.how exactly can market share data help you find leverage?
5 Opportunities to Find Growth Leverage With Market Share Analytics
The following points show you what to look at when performing market shareanalytics and what opportunities for growth you may find there.
1. Channel and retailer concentration
Use this opportunity to review your market share performance across channels and retailers. In essence you want to see where you are strong and where you are lacking. This is one of the most common starting points in retail market share analytics spotting where your presence is strong versus weak.For example you may have a twenty percent share across all trade retailers but only six percent on online platforms. You will also want to look at retailers and see if there are pockets of opportunity. Once you have identified opportunities you can reallocate your resources and prioritise working with these channels or retailers.
2. Regional concentration
Not all regions are the same; some are more competitive than others. Some have greater potential than others. You want to look at your performance across regions, states or territories to see where you have the best foothold and where you are lacking. This competitive market share analysis will also highlight which markets you should consider entering or expanding your presence in.
3. Category and segment concentration
Some segments within a category are more competitive than others, and different segments exhibit different growth trends. For example, the premium segment may be growing faster than the value segment, or large-pack sizes may be gaining ground over smaller ones. This is exactly where retail market share analytics proves its value — at the segment level, it often reveals risks that overall sales figures hide completely. If your portfolio is skewed toward a slow-growing segment, your market share may start to decline even if your overall sales remain stable. Identifying these opportunities for growth is where category and segment market share analysis really comes in handy.
4. Promotional leverage
Some promotions help you gain market share while others just cushion a drop in volume that happens when prices rise. looking at how pricing and promotion interact will show which promotional tactics are worth investing in and which ones are not.
It will also help you understand which customer segments respond better to types of promotions.
5. Distribution and availability leverage
If the product is not available no one can buy it.
Look at the distribution of your products on a channel, retailer and regional level. Compare it to your competitors.you want to make sure that your products are consistently available in the stores and retailers where your customers shop.
Wherever you are lacking in distribution that is where you should focus your attention and resources.
How to Perform a Market Share Analysis in 4 Steps
A defined process ensures you are focused on taking the right actions.we like to think of it as share-gap prioritization. A defined process ensures you’re focused on the right actions. Good retail market share analytics starts with structure, not spreadsheets.It involves the following steps:
1. Determine the category and competitive set
You want to make sure that you have a defined category on which you will base all of your market share calculations.it is critical that you define it clearly including which productsre considered part of the category, which are not the relevant price bands and any other criteria that are relevant to the category.
2. Aggregate all the data
You want to combine the data from all sales sources you have access to both sell-in and sell-out along with your third-party category sales data if you have it. This step is the foundation of reliable retail market share analytics: without clean, combined data, every insight downstream is shaky. You’ll need this information to calculate your market share versus the category.
3. Review analytics by channel, region, segment, etc.
It is helpful to break down market share by segments to see where you have opportunities for growth.the overall market share figures may be informative. The actual insight is in the breakdown.
4. Prioritize opportunities based on potential and ease of realization.
Once your retail market share analytics has identified the opportunities for growth, you want to prioritize them according to their potential to increase your sales and how easy it is to realize that potential.
One final note on the importance of data in market share analysis: make sure that the category definition is consistent across all sales sources otherwise you will get results.
Turning Insights Into Action
It is always important to remember that market share data on its own is rarely meaningful.you must connect the dots to turn insights into actions that will drive growth.you can do that by linking the opportunities identified in the analysis to the steps you can take to capitalize on them.
For example, if your retail market share analytics shows an opportunity to gain share by increasing price in a segment, you can model that scenario to find the price point that maximizes your profit. Insights from market share data are most useful when applied alongside category analytics — which is exactly the approach we take at Solaris, where we combine market share, pricing, and promotional analytics to give our clients insights that inform their commercial strategy.
FAQ :-
What Is Market Share Analysis in Retail?
Market share analysis in retail is the process of determining a brands percentage of category sales for a particular retailer, channel, region or segment and
identifying opportunities for growth.
How Do I Calculate Market Share?
Take your companys sales for a category in a given market and divide it by the total sales for the same category and market then multiply the result by 100 to get a percentage.for example if your sales equal USD 2 million and the overall category sales equal USD 20 million your market share equals 10%.
What Data Do I Need for Retail Market Share Analytics?
For retail market share analytics, you’ll need your sales data, sell-out data if you have it, and data on category sales. In addition, you’ll need competitor data, pricing data, promotional data, as well as distribution and availability data.
What Is the Difference Between Market Share and Sales Growth?
Sales growth shows how more products you sold compared to the previous period. Market share shows how much of the category you are capturing. Sales growth and market share can move in directions. If sales growth rises by five percent but the category grows by twelve percent sales growth is higher while market share is lower. That is why it is useful to track both sales growth and market share.
How Often Should Brands. Review Their Market Share?
The answer depends on the speed of the category and the promotional calendar. A more in-depth review, by channel, region and segment should be done at once each quarter.Because market share analytics is only useful when it’s current, we recommend at least a quarterly deep dive. this review will help shape pricing, promotional and distribution strategies.