How to Meet or Exceed Customer Expectations Consistently
The customer experience (CX) is a moving target, and how business managers approach customer interactions may change day to day.
For example, a new IBM study of more than 500 brands indicated that many businesses are struggling to meet customer expectations. The study also revealed that:
19 percent of retailers said they understand how to deliver a highly personalized shopping experience.
17 percent noted they can provide more than stock/out of stock information.
84 percent pointed out they did not provide any in-store mobile services.
Obtaining customer experience (CX) data is insufficient for today's retailers. Instead, these businesses must be able to collect and assess customer experience (CX) data from a broad array of online sources. By doing so, retailers will be able to understand all aspects of the customer experience (CX) and provide personalized customer support.
How Can Business Managers Obtain Customer Experience (CX) Data?Text analytics services streamline the process of collecting customer experience (CX) data. In fact, these services even allow business managers to retrieve customer data from blog posts, web polls and surveys and other online sources and review this information at any time.
With text analytics, managers only obtain customer data itself, and the service does provide managers with the ability to analyze this information. To assess customer data, managers will need to mine customer data sets, which could prove to be costly and time-consuming.
Data mining often requires managers to take a close look at all of the customer data at their disposal. Then, managers will need to identify customer behaviors and trends that are hidden within customer data sets. And with this information at their disposal, managers will be able to deploy meaningful customer experience (CX) strategy improvements.
On the other hand, data mining is complex. It usually is performed by data scientists, i.e. data experts who can assess large customer data sets quickly. Thus, managers who try to mine customer data sets on their may struggle to gain customer insights.
Choose Self-Service Text Analysis to Evaluate Customer Experience (CX) Data
Clearly, data mining is less than ideal for business managers, particularly for those who lack comprehensive time and resources. But a new data analysis service is available that makes it simple for managers to transform customer experience (CX) data into actionable insights – Self-Service Text Analysis.
Self-Service Text Analysis is a free, user-friendly data analysis service that works in conjunction with text analytics. It allows managers to produce interactive PDF (iPDF) reports that highlight customer experience (CX) data via charts, graphs and other visuals. That way, managers can review interactive PDF (iPDF) reports with ease and discover the best ways to drive long-lasting customer partnerships.
Each interactive PDF (iPDF) report illustrates customer data that managers collect via text analytics. The report may include dozens or hundreds of pages of customer insights, all of which provide managers with a glimpse into the customer experience (CX), consumer sentiment, customer loyalty and more.
In addition, managers can generate an interactive PDF (iPDF) via Self-Service Text Analysis in only minutes. The service requires a manager to upload an Excel spreadsheet that contains user-generated content – and that's all. After the upload is finished, a manager will receive an interactive PDF (iPDF) report via email within about 15 minutes.
Learning about the customer experience (CX) usually requires significant time and resources. Now, Self-Service Text Analysis allows managers to revamp their data analysis efforts and ensure they can maximize the value of text analytics.
Self-Service Text Analysis also guarantees that managers won't have to wait long to transform customer data into meaningful insights. The service empowers managers with interactive PDF (iPDF) reports, enabling managers to find ways to enhance the customer experience (CX) both now and in the future.
The customer experience (CX) plays a key role in whether consumers will remain loyal to a brand. However, few business managers understand how to generate meaningful customer experience (CX) insights from large customer data sets. Thanks to Self-Service Text Analysis, managers can eliminate the guesswork that is commonly associated with data analysis. Self-Service Text Analysis allows managers to review customer experience (CX) data from across the web and use this information to implement business improvements. As such, Self-Service Text Analysis can deliver immediate and long-lasting value for managers at companies of all sizes, allowing these managers to gain unprecedented customer experience (CX) insights consistently.