Store Locator Statistics 2024 – Everything You Need to Know

Are you looking to add Store Locator to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important Store Locator statistics of 2024.

My team and I scanned the entire web and collected all the most useful Store Locator stats on this page. You don’t need to check any other resource on the web for any Store Locator statistics. All are here only 🙂

How much of an impact will Store Locator have on your day-to-day? or the day-to-day of your business? Should you invest in Store Locator? We will answer all your Store Locator related questions here.

Please read the page carefully and don’t miss any word. 🙂

Best Store Locator Statistics

☰ Use “CTRL+F” to quickly find statistics. There are total 89 Store Locator Statistics on this page 🙂

Store Locator Market Statistics

  • 48% of millennials have shopped on marketplaces, 76% at large retailer sites, 46% on webstores or independent boutiques, and 29% at category. [0]
  • 56% of Gen Xers have shopped on marketplaces, 76% at large retailer sites, 49% on webstores or independent boutiques, and 37% at category. [0]
  • 59% of Baby Boomers have shopped on marketplaces, 74% at large retailer sites, 42% on webstores or independent boutiques, and 39% at category. [0]
  • 51% of Seniors have shopped on marketplaces, 66% at large retailer sites, 30% on webstores or independent boutiques, and 44% at category. [0]
  • 35% of marketers say poor data quality impacts their ability to target consumers with the right digital ads. [1]
  • 84% of marketers report phone calls having higher conversion rates with larger order value compared to other forms of engagement. [1]
  • 85% of marketers believe inbound calls and phone conversations are a key component of their organization’s digital. [1]
  • 48% of marketers have provided or expect to provide enhanced customer experiences as a result of scaling conversation intelligence across the enterprise. [1]
  • 43% of marketers have improved or expect to improve customer acquisition and retention as a result of scaling conversation intelligence across the enterprise. [1]

Store Locator Latest Statistics

  • “Near me” mobile searches grew 136% YOY. [2]
  • Mobile makes up 84% of all “near me” searches. [2]
  • Here are 50 statistics on consumer shopping and retail trends, including a a look at some of the ways COVID 19 has altered shopping behavior 51% of Americans prefer to shop online and 96% of Americans have made an online purchase in their life. [0]
  • 67% of Millennials and 56% of Gen Xers prefer to shop on online rather than in store and 41% of Baby Boomers and 28% of Seniors will click to purchase. [0]
  • Millennials and Gen Xers spend nearly 50% as much time shopping online each week than their older counterparts. [0]
  • 73% of consumers are more likely to purchase a product or service if they can watch a video explaining it beforehand. [0]
  • 42% of online shoppers want more testimonials from ecommerce sites. [0]
  • 75% of consumers are more likely to buy from a retailer that recognizes them by name, recommends options based on past purchases, OR knows their purchase history. [0]
  • 63% of consumers said they’d think more positively of a brand if it gave them content that was more valuable, interesting or relevant. [0]
  • 53% of buyers say Facebook informs their purchase decisions. [0]
  • 42% of online customers find recommendations from friends and family influential. [0]
  • 74% shoppers are unlikely to share a product on social network after purchase. [0]
  • Over 60% of consumers take the time to review a return policy before making a buying decision. [0]
  • 23% is the online shopping cart abandonment rate on average. [0]
  • Mobile sessions account for 59 percent of all sessions on ecommerce sites. [0]
  • 48% of consumers start mobile research with a search engine –but 33% go directly to the site they want. [0]
  • Google says 61% of users are unlikely to return to a mobile site they had trouble accessing and 40% visit a competitor’s site instead. [0]
  • Tablets account for the highest addto cart rates on eCommerce websites at 8.58%. [0]
  • 88% of consumers who search for a type of local business on a mobile device call or go to that business within 24 hours. [0]
  • The top three traffic sources driving sales for eCommerce are organic (22%), email (20%) and CPC (19%). [0]
  • 52 percent of consumers cited at least one offline channel as a source of initial awareness before a purchase, and 59 percent cited one or more online channels. [0]
  • Retail websites or online shops were the most common source of initial product awareness, cited by nearly a third of consumers, and online advertisements were cited by 15 percent. [0]
  • At the same time, physical shops were the second most popular source of awareness, cited by 22 percent of consumers. [0]
  • After websites, shops or online advertising, the most common sources of product awareness were online reviews , talking with friends , social media or seeing a friend with it. [0]
  • Although price was cited by 57 percent of consumers as a top factor in deciding which website to buy from, the next key attributes were enhanced delivery options and easy return policies. [0]
  • Parents spend more of their budget online in comparison to non parents (40% vs. 34%). [0]
  • Parents spend 61% more online than non. [0]
  • Men reported spending 28% more online than women. [0]
  • Female respondents cited that they enjoy online shopping (51% vs. 37% of male respondents), invest more time (60% vs. 46% for male counterparts) to find the best deals and often search for coupon codes to get discounts (48% vs. 29% for males). [0]
  • 64% consumers want personalized offers from retail brands. [0]
  • 56% consumers willing to share data to receive faster and more convenient service. [0]
  • at least yearly, 80% of Americans shop online. [0]
  • at least monthly, 30% of Americans shop online. [0]
  • at least weekly, 5% of Americans shop online daily. [0]
  • This is most likely caused by a plugin like W3 Total Cache that tried to minify the HTML output on the store locator page. [3]
  • In fact, nearly 46% of all Google searches are seeking local information. [4]
  • 46% of all Google searches are looking for local information. [4]
  • 72% of consumers that did a local search visited a store within five miles. [4]
  • 97% of people learn more about a local company online than anywhere else. [4]
  • 88% of searches for local businesses on a mobile device either call or visit the business within 24 hours. [4]
  • 61% of mobile searchers are more likely to contact a local business if they have a mobile. [4]
  • 18% of local smartphone searches led to a purchase within a day, whereas only 7% of non local searches led to a sale. [4]
  • 78% of location based mobile searches result in an offline purchase. [4]
  • “Near me” or “close by” type searches grew by more than 900% over two years. [4]
  • 72% of computer or tablet users and 67% of smartphone users want ads that are customized to their city or zip code. [4]
  • By using location based coupons on mobile can lead to a 9916% increase in incremental mobile revenue. [4]
  • Local searches result in purchases 28% of the time. [4]
  • Search result information will send 70% of consumers to a physical store. [4]
  • 92% of searchers will pick businesses on the first page of local search results. [4]
  • A basic logistic regression using demographic variables can correctly predict about 60% of zip codes that have a Starbucks and 90% of those that don’t. [5]
  • Given the unbalanced nature of the data set 31K observations and ~5,500 with a Starbucks a 60% prediction rate should be sufficient for the purposes of this exercise. [5]
  • Our top result is zip code 60629, located in Chicago. [5]
  • The zip code has 2 bordering Starbucks locations just outside the zone, and the model predicted that there was a 99% chance of the zip code having a Starbucks. [5]
  • For example, if there are 20 zip codes in a county without a Starbucks, this map would show the sum of the predicted probabilities of all these geographic areas. [5]
  • Let’s look at the top 20% of zip codes by State below. [5]
  • 81% of retail shoppers conduct online research before buying. [1]
  • 77% of shoppers use a mobile device to search for products. [1]
  • This is a 25% projected increase from 2020, when many retailers pulled back spend due to. [1]
  • This is a 26.9% projected increase from 2020. [1]
  • The average conversion rate for a retail lead is 3%. [1]
  • 73% of retail consumers use multiple channels to shop. [1]
  • 59% of shoppers use their mobile devices in store to compare costs or research deals and coupons. [1]
  • 30.9% of retailers say they cannot track consumers across devices, and another 38.2% can only track some consumers some of the time. [1]
  • The opportunity cost of not being omnichannel is 10% in lost revenue. [1]
  • The average engagement rate of campaigns using three or more channels was 18.96% across all channels, while single channel campaigns earned only 5.4%. [1]
  • 84% of consumers believe retailers should be doing more to integrate their online and offline channels. [1]
  • Consumers running mobile searches are 39% more likely to call a business. [1]
  • $119 is the mean price point at which retail customers are likely to call. [1]
  • 37% of retail shoppers call directly from paid search ad call extensions. [1]
  • Callers convert 30% faster than web leads. [1]
  • Caller retention rate is 28% higher than web lead retention rate. [1]
  • 41% of organizations report having increased phone conversion rates by 25% or more in the past 12 months. [1]
  • 80% of customers say the experience a company provides is as important as its products and services. [1]
  • 32% of consumers say phone calls are the most frustrating customer service channel. [1]
  • 65% of consumers have cut ties with a brand over a single poor customer service experience. [1]
  • 40% of consumers purchase more from retailers that provide a personalized shopping experience across channels. [1]
  • Same store sales jumped 7.16 percent in the first quarter compared to last year and increased to an even stronger 9.79 percent in the second quarter of 2014. [6]
  • More than 50% more franchisees attended, learning important brand information and participating in valuable break outs designed to help their business grow,” said Wan Kim, owner and CEO of Smoothie King. [6]
  • The Locator identifies about 10 percent of the approximately 65,000 census tracts in the United States as food deserts. [7]
  • A 5% cut in SNAP this Friday will mean 25 fewer meals per month for the average recipient of this program… [7]

I know you want to use Store Locator Software, thus we made this list of best Store Locator Software. We also wrote about how to learn Store Locator Software and how to install Store Locator Software. Recently we wrote how to uninstall Store Locator Software for newbie users. Don’t forgot to check latest Store Locator statistics of 2024.

Reference


  1. v12data – https://v12data.com/blog/50-statistics-about-retail-marketing-and-consumer-shopping-trends/.
  2. invoca – https://www.invoca.com/blog/retail-marketing-statistics.
  3. thinkwithgoogle – https://www.thinkwithgoogle.com/consumer-insights/consumer-trends/local-search-to-store-visit-statistics/.
  4. wordpress – https://wordpress.org/plugins/wp-store-locator/.
  5. hubspot – https://blog.hubspot.com/marketing/local-seo-stats.
  6. towardsdatascience – https://towardsdatascience.com/analyzing-and-predicting-starbucks-location-strategy-3c5026d31c21.
  7. smoothieking – https://www.smoothieking.com/news/smoothie-king-conference-sales-statistics-and-new-developments-shared-to-take-global-franchise-to-the-next-level.
  8. usda – https://www.usda.gov/media/blog/2011/05/03/interactive-web-tool-maps-food-deserts-provides-key-data.

How Useful is Store Locator

A store locator is a tool that allows customers to easily find the nearest physical store location based on their current location or a specified address. This feature typically provides users with a map pinpointing the exact location of the store, as well as additional information such as store hours, contact information, and driving directions. In theory, this tool can be incredibly useful for consumers who prefer to shop in person rather than online.

One of the main benefits of a store locator is its ability to help customers save time and effort when searching for a specific product or service. By simply inputting their location, customers can quickly identify the closest store that carries the item they are looking for. This can be particularly helpful when a customer needs an item urgently and does not have the time to wait for shipping or delivery.

Additionally, a store locator can enhance the overall customer experience by providing valuable information about the store, such as store hours and contact information. This transparency can help build trust and loyalty with customers, as they can easily access important details about the store before making a trip.

From a business perspective, a store locator can also be beneficial for retailers. By driving foot traffic to physical stores, retailers have the opportunity to engage with customers on a more personal level and potentially upsell or cross-sell additional products or services. This can ultimately lead to increased sales and customer retention, as customers are more likely to return to a store where they have had a positive experience.

However, while store locators have the potential to be a valuable tool for both customers and retailers, there are also limitations to consider. One of the main drawbacks is the accuracy of the information provided. In some cases, store locators may not be updated regularly, leading to outdated or incorrect store information. This can be frustrating for customers who make the effort to visit a store only to find that it is closed or has moved locations.

Furthermore, not all store locators are user-friendly or easy to navigate. Some customers may have difficulty inputting their location or interpreting the map and directions provided. This can lead to a frustrating experience and deter customers from using the store locator in the future.

Overall, while store locators have the potential to be a useful tool for both customers and retailers, there are also challenges that need to be addressed to maximize their effectiveness. By ensuring that store locators are regularly updated, accurate, and user-friendly, retailers can leverage this feature to drive traffic to their physical stores and enhance the overall customer experience.

In Conclusion

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We tried our best to provide all the Store Locator statistics on this page. Please comment below and share your opinion if we missed any Store Locator statistics.

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