GUEST POST: Can retailers convert summer demand in a weaker market? 

26 May 2026
Image @ Adobe Stock

Nate Barad, VP of product marketing, Algolia, looks at ways retailers can make the most of opportunities this summer despite weak consumer confidence.

Retailers are heading into summer with demand harder to predict and margin harder to protect. 

April’s British Retail Consortium figures showed non-food sales falling 3.3% year on year, with bigger purchases slowing as consumers pulled back on non-essential spending. Uncertainty around summer holiday plans is also making demand harder to read, giving retailers less certainty over how strongly shoppers will spend in the months ahead.

The summer season, alongside major sporting events such as the World Cup, will still create periods of stronger consumer demand. Retailers should not mistake that demand for easy conversion. Tighter budgets are leading shoppers to make more intentional purchases. Shoppers now arrive with a decision already partly formed. They have compared prices, checked delivery options and narrowed what they need before they enter a retailer’s site. 

By the time those shoppers search, they are often testing whether a retailer can meet their requirement quickly enough to win the sale. 

That changes the role of product discovery and the buying journey. In a tighter market, a relevant product that is difficult to find or learn more about, is not just a poor online experience but a missed sale, a weaker return on seasonal stock and, in some cases, a future markdown. 

Seasonal demand has to be recognised in the moment 

Retailers usually prepare for seasonal demand well before it arrives. Campaigns are planned around key commerce periods and stock is brought in to support expected peaks. 

Shoppers, however, do not always follow that journey. Many now move directly into search with a clear requirement already formed. They are trying to find a product that fits a delivery window, their budget or a specific use case.  

Those searches show where demand still exists. At the same time, they also show where retailers risk losing customers. 

For years, ecommerce search has leaned heavily on historical performance. Products with stronger sales histories are more likely to appear first because they have already generated more clicks and purchases over time.  

In steady categories, that approach can work well because the same products continue performing consistently. Seasonal retail moves differently.  

A World Cup or summer collection only has a short period to perform, yet newer products naturally have less engagement history behind them. A retailer can have the right product in stock while a customer ready to buy struggles to find it because older products continue to rank more strongly. 

Retailers often compensate through homepage placement, paid media or manual merchandising. Those tactics can support launches, but they become less effective once a shopper moves directly into search with a clearer idea of what they need. 

The shift in mindset is that retailers increasingly need ranking to respond to live commercial signals. Delivery timing, current availability, seasonal relevance, and immediately personalised results all influence whether a product is useful to a shopper during a short seasonal window. 

Retailers need to adapt, personalise and delight the shopper in the first engagement; there’s not enough time to build a profile or segment.

A customer searching for World Cup merchandise should be able to find products tied to the tournament while interest is still high, instead of after the strongest demand has already passed. 

Product data now has to work beyond the website 

One of the harder shifts for retailers is that customers are no longer discovering products in one place. 

A shopper planning a summer holiday may begin with a broad search around what they need for a trip, then move into more specific questions around delivery timing, sizing, weather suitability or price. By the time they reach a retailer’s website, part of the product selection process has already happened. 

That raises the importance of how products are described and structured online. Seasonal products often have a short window to perform, yet many retailers still rely on basic product copy and limited attributes that do little to explain why an item is relevant at a particular moment. 

A summer product may only become valuable when details such as fabric weight, packability, delivery timing or occasion are made clear. The same applies to World Cup merchandise, where customers may be shopping against match dates and looking for certainty that products will arrive in time. 

Shoppers are also becoming more specific in how they search. They are not always browsing categories in the traditional sense. Many search around outcomes, occasions and constraints. 

Retailers therefore need product information that supports those journeys properly, rather than relying too heavily on historical rankings or broad category terms. Retailers that manage this well are more likely to keep seasonal products visible while demand is strongest. Those that do not can end up relying more heavily on promotions later in the season to move stock that customers struggled to discover earlier in the journey. 

Discounting works best when discovery already works 

Discounting will still play an important role across some retail categories this summer, particularly where demand remains uneven or stock levels need to move more quickly. 

The bigger challenge comes when promotions are compensating for weak product visibility rather than weak customer demand. 

Some products underperform because shoppers are not interested in them. Others underperform because customers did not discover them early enough while interest was strongest. Those are very different commercial issues. 

A product may not require a markdown if shoppers can immediately see that it matches their budget, delivery expectations and search intent from the start of the journey. 

Pricing pressure is also likely to increase as AI-led comparison tools become more widely used. Algolia research found that 71% of consumers would use an AI agent to compare prices across retailers, giving shoppers more opportunities to continue comparing products before committing to buy.

Retailers that can connect seasonal intent with the right products quickly are more likely to protect margin while demand is still active. Those that cannot may find themselves relying more heavily on discounting to recover sales that stronger discovery could have converted earlier in the season.

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