Target's Store Traffic Is Falling — Should Investors Be Concerned?
Target (TGT) has seen its foot traffic and stock price fall this year due to a variety of factors.
Read Next:
Find Out:
Do these drops spell bad news for the company and its stock? Given the falling foot traffic, some investors may be wondering whether they should be concerned about the stock.
On Jan. 24, 2025, Target released a fact sheet detailing its Belonging at the Bullseye Strategy. In it, the company announced it'd be concluding its three-year diversity, equity and inclusion goals as well as its Racial Equity Action and Change (REACH) initiatives.
It said it'd also continue to provide employee resource groups that are open to everyone, evaluate corporate partnerships, stop external diversity-focused surveys and turn its 'Supplier Diversity' team to 'Supplier Engagement' as a way to reflect its inclusive global procurement process.
The week following this announcement, Target saw its foot traffic drop 4% year over year, Retail Brew reported. The following weeks also saw decreases in foot traffic from the previous year. This was in contrast to the numbers preceding the announcement, in which foot traffic had been up 5% to 11.8% for the first four weeks of the year.
This decrease in foot traffic may leave some investors wondering whether they should be concerned about Target's performance and its stock.
Be Aware:
A zoomed out view of Target stock shows that it's down more than 33% for the year, as of April 17. And the stock has fallen significantly over the past year, down more than 44%. And that could be telling of more trouble for the brand.
'From an investor's point of view, it's not just the stock falling from $143 to around $90. It's the lawsuits, the bad press, the perception that the brand is either confused or reactive. That stuff adds up,' said David Kindness, CPA, a personal finance writer at Best Money.
The answer to whether or not investors should be concerned comes down to risk tolerance. At the moment, the stock market is down in general following President Donald Trump's tariff announcement.
Peter Tran, CPA, a tax and personal finance expert with A&C Accounting and Tax Services, said that as an accountant, he sees the numbers behind the stories. '[Its numbers are] telling me that Target's financials could be squeezed if this goes on too long. They've already reported a 3.1% loss for Q4, and the continued drop in foot traffic doesn't bode well for maintaining healthy revenue streams,' he said.
Because of these headwinds, investors should proceed with caution. 'Given all this, it makes sense for investors to watch closely, hoping for signs of a rebound but also staying realistic about the potential challenges in winning over a disappointed customer base,' Tran said.
More From GOBankingRates
5 Luxury Cars That Will Have Massive Price Drops in Spring 2025
4 Things You Should Do if You Want To Retire Early
4 Affordable Car Brands You Won't Regret Buying in 2025
5 Types of Vehicles Retirees Should Stay Away From Buying
This article originally appeared on GOBankingRates.com: Target's Store Traffic Is Falling — Should Investors Be Concerned?
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles

Business Insider
19 minutes ago
- Business Insider
To avoid product shortages, big retailers are scrapping reactive methods for AI
The adage "too much, too little, just right" isn't just for Goldilocks and her porridge. Balance is also critical in inventory management, the part of the supply chain responsible for analyzing what consumers will buy and making sure products are in stock at the right place and the right time. Excess inventory can lead to markdowns or expired goods, but too little product can lead to shortages that impact a retailer's brand image, customer satisfaction, and bottom line. To prevent inventory from running out, big-box retailers such as Target, The Home Depot, and Walmart are using AI to predict when product amounts could dwindle. As a result, Target's inventory availability has improved every year for the last four years, Prat Vemana, the executive vice president and chief information and product officer at Target, told Business Insider. AI can help retailers proactively adjust stock before disruption strikes rather than reacting to changing conditions, said Ajoy Krishnamoorthy, the CEO of inventory-management platform Cin7. That's especially critical today, Krishnamoorthy added, when factors like consumer behavior, inflation, and trade policy constantly impact supply chains. "AI thrives in this environment," Krishnamoorthy said. From old methods to AI Traditionally, companies procure inventory, manage logistics, and analyze consumer behavior in silos, said Vidya Mani, an associate professor of business administration focused on technology and operations management at the University of Virginia. Teams do individual research, then come together to develop a strategy and execute it. "We no longer have that time," Mani said. "By the time you finish doing it, the world will have changed on you." Before Target started using AI to predict stockouts, the retailer relied on software-based applications, which didn't react or adapt to real-world changes as quickly as AI systems, according to Vemana. In fact, Target said in a blog post that it previously failed to catch half of its products that were out of stock because the technology they used thought that inventory existed when it actually didn't. Target changed how it managed inventory in 2023 with the introduction of Inventory Ledger, an internal tech system that tracks inventory changes across stores and uses AI to predict when products might be out of stock "even before it's obvious to team members or systems," Vemana said. Today, Target uses AI-driven inventory management for more than 40% of its product assortment, which is more than double when it started two years ago, Vemana said. With Inventory Ledger, algorithms pull in data like supply lead times, transportation costs, current inventory, and consumer demand. Some models are more accurate for frequently purchased categories, and others are better suited to discretionary purchases or clearance items, so Target uses both kinds. There are also models that detect items that are in the store but in the wrong aisle or shelf, Vemana said. Target has a demand forecasting tool that "makes billions of predictions each week about how many units of each item we'll need in stores and online," Vemana said. Together, all of these technologies guide employees' decisions about when, where, and how to reorder products and replenish stock. "Combining traditional software with AI helps us make smarter, faster decisions about inventory management and keep our stores stocked more consistently," Vemana said. One of Cin7's customers, ABC School Supplies, is also using AI to access real-time sales data, potential stock shortages, and supplier lead times, so it can "reorder proactively and avoid costly gaps in supply," Krishnamoorthy said. The AI-driven inventory management marks a big change from what ABC School Supplies did in the past. It used to copy and paste website orders into its system, make a pick-and-pack list on paper, walk that physical list over to the warehouse, and manually update inventory, Krishnamoorthy said The Home Depot is also taking an AI-based approach to inventory. In 2023, the retailer rolled out a machine-learning-powered app called Sidekick, which guides store workers to restock shelves and find products on overhead shelves, among other features. "It helps make sure products are on shelves for our customers, and it manages our on-hand accuracy, which feeds to our replenishment and selling platforms," a spokesperson for The Home Depot said. AI's predictive power for inventory planning Krishnamoorthy said that in retail, "AI is exploding" as businesses move away from static planning to dynamic forecasts that anticipate demand and prevent stockouts. AI allows businesses to get more granular with their inventory data, avoiding stockouts at particular store locations or during peak times. Mani gave the example of cosmetics and how different stores will have varying product needs based on consumer demographics. "AI can figure out those patterns of baskets that are bought frequently in these different clusters," Mani said. "You don't need to feed it that contextual information." Target is also working on technology that predicts which colors and sizes of seasonal items will sell, so it can stock those items in specific stores "to meet local demand," Vemana said. At Walmart, AI-based inventory management systems use algorithms to make sure stores in warmer states have the right amount of pool toys and colder states stock enough sweaters, according to a press release on the company's website. If a particular item isn't selling on the East Coast but it's flying off shelves in the Midwest, algorithms flag that pattern so Walmart can reposition its inventory. As retailers continue to develop and deploy AI tools, Mani predicts the technology's use cases will advance over the next decade. Mani said that in two to three years, AI will likely flag stockouts without a person needing to walk into a store to confirm. Five years out, AI could automatically reorder inventory when algorithms detect that stock is running low. And in 10 years, AI would understand how macroeconomic events (like inflation) will change future consumer purchase behavior patterns and adjust inventory plans accordingly. "It will feed it into your rulemaking rather than reacting to the situation," Mani said. "You'll be living in a different world."


The Hill
21 minutes ago
- The Hill
US job openings rose unexpectedly in April, a sign the American labor market remains resilient
WASHINGTON (AP) — U.S. job openings rose unexpectedly in April, showing that the labor market remains resilient in the face of uncertainty arising from President Donald Trump's trade wars. The Labor Department reported Tuesday that employers posted 7.4 million job vacancies in April, up from 7.2 million in March. Economists had expected opening to drift down to 7.1 million. But the number of Americans quitting their job — a sign of confidence in their prospects — fell, and layoffs ticked higher. Openings remain high by historical standards but have dropped sharply since peaking at 12.1 million in March 2022, when the economy was still roaring back COVID-19 lockdowns. The American job market has remained strong in the face of high interest rates engineered by the Federal Reserve in 2022 and 2023 to fight a resurgence of inflation. The economic outlook is uncertain, largely because of Trump's economic policies — huge taxes on imports, purges of federal workers and the deportation of immigrants working in the United States illegally. The Labor Department is expected to report Friday that employers added 130,000 jobs last month, down from 177,000 in March. The unemployment rate is expected to stay at a low 4.2%, according to a survey of forecasters by the data firm FactSet.


Forbes
22 minutes ago
- Forbes
Bitcoin Price Odds Reveal $120,000 As The Most Crowded Retail Bet For 2025
A cutout of US President Donald Trump holding a Bitcoin is displayed on a group of servers during ... More The Bitcoin Conference at The Venetian Las Vegas in Las Vegas, Nevada, on May 27, 2025. (Photo by Ian Maule / AFP) (Photo by IAN MAULE/AFP via Getty Images) The crypto market looks quiet on the surface, but traders are bracing for big moves in both directions by year-end. Bitcoin is currently trading just above $105,300, Ethereum holds above $2,618, while other major altcoins staying flat. Solana is up 4.2% today, Dogecoin 2.1%, Shiba Inu 2.5%, XRP 2.9%, BNB 1.5%, while Cardano rose 2.6%. Despite the double-digit rally over the past few months, crypto traders aren't convinced Bitcoin will hover around $100,000 for long. In fact, many are eyeing another breakout to close out 2025. According to data from Polymarket, a blockchain-based prediction market platform, the biggest volume of trades is flowing into the $120,000 price bracket. As of early June, over $1.1 million has been wagered on Bitcoin ending the year at exactly $120,000. That makes it the most crowded bet on Polymarket, implying 73% odds of hitting that target. Trailing close behind is the $130,000 range, with $1.14 million in volume and implied odds of 61%. The $150,000 mark — a far cry from today's levels — has $1.6 million in volume, though with just 37% odds. The odds and dollar volumes fall off a cliff as the targets get more extreme. The dream scenario of Bitcoin crossing $1 million by year-end has drawn just $897,310 in wagers, representing a 3% chance according to Polymarket. Bets on a bearish turnaround are even less popular. Only $279,919 has been placed on a $20,000 outcome, with just 4% odds. As of now, six-figure Bitcoin is what most retail investors are banking on. Although implying big upside, Polymaket bets are relatively conservative compared to the multi-hundred-thousand — even multi-million — predictions from Bitcoin's most vocal believers. Michael Saylor, founder of Strategy and executive chairman at MicroStrategy, says Bitcoin could hit $13 million within the next 21 years. The timeline lines up with Bitcoin's fixed supply of 21 million coins, and Saylor's thesis is built on the idea that BTC will capture a sizable share of global capital over time. Twitter founder and Block CEO Jack Dorsey is also all-in. He recently predicted that Bitcoin's market cap will hit $20 trillion and the price will cross the $1 million mark by 2030. 'At least a $1 million. I do think it hits that number and goes beyond,' Dorsey said. 'The most amazing thing about Bitcoin… everyone who works on it, or gets paid in it, or buys it for themselves. They're making the entire ecosystem better, which makes the price go up.' Block backs that outlook with real dollars. The company puts 10% of gross profit from Bitcoin-related products into BTC every month. It's also building a hardware wallet and developing an end-to-end Bitcoin mining system. 'The internet will have a native currency,' Dorsey added. 'It's just a matter of time.'