The art of listening to customers: Why marketing and community managers need AI text analytics

Knowing how to properly analyze customer feedback is a crucial part of success in today’s busy business world. While it can be difficult for marketers and community managers to sift through the ever-growing amount of textual data, an organization that leverages this information correctly will have access not only to reacting quickly but also gaining valuable insights they can act on. Unlocking these hidden gems within customer reviews leads them into higher realms of business intelligence and improved performance overall.

By leveraging the power of AI text analytics, with its foundation in Natural Language Processing (NLP), marketing and community managers can unlock a suite of benefits – from more efficient customer feedback analysis to improved engagement strategies. Here are five key advantages that this cutting-edge technology provides

1) Identify customer pain points

One of the most significant benefits of using AI text analytics powered by NLP is its ability to identify customer pain points quickly. With the help of NLP, the system can analyze customer feedback in real-time, identify patterns, and understand the underlying sentiments of the text. For example, if customers start to complain about a new promotion code not working or suggesting a different incentive like “free shipping”, NLP can pick up on this feedback and flag it for the marketing and community managers. By identifying pain points, managers can take immediate actions to address these issues, which can lead to higher customer satisfaction and loyalty.

2) Track sentiment analysis on specific topics

Another key benefit of using AI text analytics powered by NLP is the ability to track sentiment analysis. With the help of NLP algorithms, the system can detect emotions in customer feedback and categorize them as positive, negative, or neutral. This information can be used to analyze customer sentiment over time and identify emerging trends. For instance, a marketing manager can track sentiment analysis to understand customer reaction to a new product launch or marketing campaign. This way, managers can quickly adjust their marketing strategies based on customer sentiment and avoid potential pitfalls.

3) Customized marketing campaigns to better address your audience

AI text analytics powered by NLP can help marketing and community managers create customized marketing campaigns that resonate with their target audience. By analyzing customer feedback, managers can identify common themes and preferences among their customers, which can be used to create tailored marketing messages that are more likely to resonate with the target audience. For example, if a beauty brand discovers that their customers are looking for eco-friendly products, they can adjust their marketing campaign to highlight the brand’s eco-friendly practices.

4) Enhanced social media engagement

Social media has become an essential part of customer engagement for businesses. However, managing multiple social media platforms can be a daunting task. With AI text analytics powered by NLP, marketing and community managers can monitor social media platforms in real-time, identify mentions of their brand, products, or services, and engage with customers promptly. For example, a hotel brand can use NLP algorithms to analyze reviews on social media platforms and identify customers’ common complaints, such as poor room service. They can then respond to these complaints quickly and offer solutions to the issues raised, which can lead to higher customer satisfaction and loyalty. Moreover, companies can monitor the reaction of customers to specific campaigns and messaging to identify the ones that are activating more feedback and positive reviews.

5) Create competitive advantages

By using AI text analytics powered by NLP, marketing and community managers can gain a competitive advantage over their competitors. By analyzing customer feedback, companies can make changes to their products or services that meet the needs and preferences of their customers. This can help companies stand out from their competitors, ultimately leading to higher customer satisfaction and loyalty. For example, if a design software provider discovers that customers are unhappy with the “invite a friend” functionality provided, they can adjust their product to offer a better user flow, which can attract more customers and increase customer loyalty.

AI-powered text analytics and NLP give marketing and community managers an invaluable edge. Through these tools, companies can quickly discern the needs of their customers, build personalized campaigns that address pain points or desires, create better engaging campaigns on social media platforms. All these benefits culminate in improving the overall customer experience leading to greater satisfaction levels and thus ensuring companies stay ahead of competition.

The Leading AI-text analytics for customer feedback: Tagado

Tagado is revolutionizing the way companies are tapping into business intelligence. By leveraging its NLP technology, Tagado allows businesses to make sense of vast quantities of customer feedback in record time. Companies can automatically classify, organize and explore their data, harness sentiment analysis, detect trends and identify key insights unable to be seen before – all with an easy-to-use interface for seamless integration into existing workflows; resulting in improved efficiency and productivity gains like never before achieved! 

Put your trust in Tagado’s cutting edge platform today: giving you a leading advantage over competitors tomorrow.

  Tagado, which has developed a platform that collects customer feedback about companies and transforms them into business insights using natural language processing (NPL), has…
When understanding the performance of a business, the level of customer satisfaction holds immense significance. This is because the continued existence of any business hinges…
Why businesses need to go beyond traditional support ticketing and embrace NLP technology Customer support has historically been a reactionary field – just put out…
If you think that customer insights are for customer experience teams only, think again.  From product to marketing, finance, UI/UX, Customer experience, QA, and more,…

Bringing your customers' voice to the decision table