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The Hidden Cost of Bad Data: How Much Banks and Retailers Lose to Inaccurate Online Maps

The correct location information might not appear as a significant operation dress, but in the case of banks and retailers, it has a direct impact on revenue, customer experience, and brand trust. Nowadays, the majority of consumers use online maps and search engines to locate local branches, stores, ATM, or service points. Whenever they encounter outdated or wrong information, they tend to drop the visit and go to a rival. Such minor mistakes can silently cost a business billions of money to large companies with hundreds or thousands of outlets.


False mapping information has a domino effect on a variety of platforms including search engines, cell phone navigations, and online directories. The wrong address, the old opening hours, or similar duplicated listing may lead the customers astray and decrease the foot traffic. Enterprise platforms like Getpin serve as a comprehensive local SEO tool that helps large retailers and banks automate their listing management and eliminate data inaccuracies.


Having the same information of the business in all mapping platforms will ensure companies avoid making costly mistakes that lead to loss of customers.


Why Accurate Location Data Matters for Enterprises


Banks and retail chains are very reliant on physical places. Although digital banking and ecommerce are on the rise, the majority of financial and retail services are based on the face-to-face approach. Nearly daily, customers are looking at local branches, stores, and service points.


In case the information presented in the search results or maps is incorrect, the impact is direct. A client who drives to the wrong address or discovers a store to be closed when he/she is in a rush can never come back. Worse still, they can simply lose faith in the brand.


Location data is not a marketing problem needed by big businesses only. It is a financial one. Poor data quality can lead to:


  • Reduced in-store sales and loss of foot traffic.
  • Loss of customer satisfaction and trust.
  • Less visibility on local search.
  • Location inefficiencies in operations.


All these put together result in what is today referred to by many executives as revenue leakage.


The Financial Impact of Inaccurate Mapping Data


Revenue leakage occurs when the businesses are deprived of potential revenue because of operational or data related issues. The effect can also be very big in the instance of incorrect mapping data.


Take an example of a national retail company having hundreds of stores. Assuming that only a small percentage of the sites are showing false information on the mapping sites, thousands of visits can be missed a month. In the case of banks, wrong information about the branches may also deny customers access to certain services like account support, mortgage consultations, or ATM withdrawals.


A small decrease in traffic of feet can cause a huge impact on revenue. Any type of loss, even in the number of visits in hundreds of properties, can be millions of dollars of sales or service opportunities lost each year.


This is a challenge that can be experienced in large enterprises since their location data are spread across different systems. Information may be updated by marketing teams, operations departments, and the third-party platforms. In the absence of a centralized control, discrepancies are soon manifested in search engines and map services.


How Mapping Platforms Amplify Data Errors


Mapping platforms are the main focus in contemporary customer journeys. Google Maps, Apple Maps, and other applications like navigation are platforms that serve as an entry point between businesses and customers.


Mapping applications combine several sources to display the location of a local shop or a bank branch to a user when he/she types in the search query. In case the business data is not consistent, such systems can present outdated data, wrong address, or duplicate ones.


This poses a number of threats to businesses:


  1. The customers can be referred to the wrong place.
  2. Listings can be incomplete or unsatisfactory.
  3. Unreliable information can result in reduced search visibility.


When mapping platforms continue to gain prominence in the local search results, data quality is an asset that can be leveraged. Firms with consistent directories will have higher chances of showing up in the local search engines and drawing customers around.


The Role of Google Business Profiles in Local Discovery


Google Business Profile is one of the most significant sources of location information about a company. In the case of banks and retailers, this profile is usually the initial point of contact with the brand that a prospective customer ever has.

An updated profile will contain precise information on the places, services, and working hours. Nevertheless, less than full or not-so-new profile can make less visible and damage customer confidence. Following established Google business profile best practices helps organizations maintain accurate listings and improve local search performance.


Such best practices usually involve:


  • Maintaining business information in all locations.
  • Revising the hours and holidays schedules.
  • Customer review and customer questions.
  • Including pictures and descriptions of the services.


Properly done, such measures enhance local visibility and leads customers to the appropriate location.


Brand Reputation and Customer Trust


On top of revenue loss, inaccurate mapping information may ruin brand reputation. The clients anticipate credible information in dealing with reputable financial institutions and retail brands.


The frustration can be easily developed when they see incorrect addresses or old hours numerous times. Unfavorable experiences tend to attract negative reviews that decrease the trust of customers.


In the case of banks, there can be even greater stakes. Credibility and reliability is crucial in financial services. Even the smallest error such as a misplaced branch can cast a dark cloud on the general standard of the institution.


The same applies to the retail brands. When the customers fail to locate a store conveniently, then they can assume that the brand is in a chaotic state or old-fashioned. In the long term, these impressions may undermine customer loyalty and decrease customer revenue.


Enterprise Local SEO as a Strategic Priority


Since location data can impact the level of revenue and reputation, nowadays, the enterprise local SEO is perceived as a strategic project, but not a marketing job by many enterprises.


Enterprise local SEO is concerned with the proper management of business listing in all virtual platforms. This involves search engines, map service, review websites, and internet directories.


Key goals of enterprise local SEO include:


  1. Assuring uniformity in business information of all platforms.
  2. Tracking and managing customer reviews.
  3. Enhancing the search results of local search.
  4. Increasing physical presence of traffic.


Achieving them at scale can prove to be a challenge to businesses with hundreds or thousands of locations. Handsets are not only time-consuming but also prone to mistakes.


How Automation Helps Reduce Revenue Leakage


Many enterprises today solve this issue by using a specialized platform on which they centralize the location data management. Such systems enable businesses to revise data once and share it on various mapping tools and directories.


Automation minimizes the chances of having discrepancies in data and customers are never faced with incorrect data. It also enables the marketing and operations departments to monitor performance indicators like customer behavior, location visits and search visibility.


Reviews can also be monitored through centralized platforms, which can be helpful to the enterprise in publishing updates and managing listings. This will provide a uniform brand image in all the places and will minimize the operational burden.


In the case of banks and retail chains that have a sophisticated network of locations, automation can be critical in keeping the data accurately recorded and avoiding leakage of revenue.


Conclusion


The wrong mapping information might be a small problem, but in the case of banks and retailers, it can be silently robbing some of the revenue and brand loyalty. Such mistakes as wrong addresses, outdated working hours, and inaccurate listings decrease foot traffic and annoy customers who use digital maps to locate services in the area.


With the mapping platforms kept influencing the customer journeys, proper location data turns out to be a crucial portion of enterprise strategy. Those companies which invest in powerful data management and enterprise local SEO have more opportunities to capture the local demand, retain brand trust, and avoid the expensive drainage of revenue.


In the case of C-level leaders, it is unmistakable that location data management is no longer a technical employee. It is a financial concern which directly influences growth, customer experience and long term brand value.



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