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Unlocking Business Success: 5 Key Trends in 2024 to Succeed Your Customer-First Strategy

Posted on by Denyse Drummond-Dunn

As we debut the second half of the year, the ever-evolving landscape of customer experience (CX) is making business success even more challenging than usual. Are you finding this too? If so, then I have some ideas to help.

We already know that businesses that embrace a customer-first strategy successfully lead their markets by driving growth from increased loyalty. To continue benefiting from this customer-centric approach, it is important to understand what has changed in 2024 and how companies should react to their customers’ ever-changing demands.

 

Business Success in 2024: The Key Trends

Here are the key trends of 2024 and some questions you may already be asking yourself about them. If not, then perhaps you should.

As always, I share my ideas and examples to help you make any changes you decide are needed.

 

AI-Driven Personalization:

What is it? AI-driven personalization leverages artificial intelligence and machine learning to analyze vast customer data and deliver highly customized experiences.

It is important because it enables businesses to anticipate customer needs and offer tailored recommendations, enhancing the customer experience and driving business success.

Example: eBay’s new magical listing tool uses artificial intelligence to extrapolate details about listings from images. As a result, sellers can list items easily, and buyers can access more information about potential purchases. (Source)

 

Data Privacy and Trust:

What is it? Ensuring customer data is handled with transparency and robust security measures.

With increasing regulatory scrutiny and customer awareness, businesses must build and maintain trust by protecting their customers’ information, which is vital for ongoing business success.

Example: To sustain their customers’ trust, companies should communicate clearly about data usage and adopt stringent security protocols to prevent data breaches.

 

Omnichannel Experiences:

What is it? Providing a seamless and integrated customer experience across multiple online and offline channels.

Customers expect consistent interactions and a unified experience, regardless of the channel they are using. This can enhance both their satisfaction and loyalty.

Example: Airbnb offers 24/7 support through various channels, ensuring customers receive timely assistance regardless of the platform they use. (Source)

 

Ethical AI:

What is it? Using AI responsibly and transparently avoids perpetuating biases and helps to maintain customer trust.

Ethical AI practices are essential for building long-term, trust-based customer relationships and ongoing loyalty.

Example: Businesses must be open about how they use AI in customer interactions and take steps to mitigate any negative impacts.

 

Empathy at Scale:

What is it? Combining AI-driven automation with human empathy enables your customer service team to handle complex customer issues more effectively.

This approach ensures that customers feel valued and understood, even when interacting with automated systems, contributing to continued customer satisfaction.

Example: Using AI to address simpler queries frees human agents to provide empathetic support for more complicated issues. It is also usually speedier, which customers appreciate.

Are you following trends? If so, do you turn them into plausible future scenarios? If not, you are missing an

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A Comprehensive Guide to Overcoming the Most Common Data Integration Challenges

Posted on by Denyse Drummond-Dunn

Insight development is based on gathering information, then data integration and analysis. However, organisations often find this challenging due to multiple sources, formats and time scales. Do you?

Many companies struggle to benefit from all their data and information because they don’t know how to turn it into insight, or their insights remain interesting but not actionable. There are many reasons for this.

From data quality issues to technological limitations and resistance to change, organizations must navigate a complex landscape to unlock the full potential of their data.

This comprehensive guide delves into the ten most common challenges in insight development, offering detailed analysis and strategies to overcome each obstacle, ensuring your organization can harness data for strategic advantage.

 

What an Actionable Insight Really is

I get so frustrated when people refer to numbers, data, or the findings from research projects as insights. None of these are!

In addition, developing actionable insights from a single survey is rare.

The reason is that insight development, getting to that “aha” moment that everyone immediately understands and wonders why no one thought of before, needs a 360 perspective of the challenge or opportunity under investigation and uses information from multiple sources.

There are many definitions of insight, but the one that I use, and that resonates with my clients, is a statement that impacts the attitudes or behaviours of current or potential customers/shoppers of a brand or category based on a human truth that results in an emotional response.

At first glance, this may seem like quite a mouthful, so to simplify retention, I refer to it as ABCDE:

A = Attitudes and Actions

B = Brand or Category

C = Customer, consumer, client or shopper

D = Deep human truth

E = Emotional response

To fast-track your understanding, here are some great examples of the insights behind some of the best-known brands:

  • Heineken Jillz: I want to drink alcohol on a night out, but I don’t like beer and wine is too variable in quality.
  • Kraft Philadelphia: Food is delicious, but I don’t want to eat too much fat (butter versus cream cheese).
  • DTC Diamonds: I want to stand out (shine), but as a modern woman, I also want to be seen as gentle and feminine.
  • Unilever Dove: I want to be admired for my beauty on the inside, not for what I look like on the outside.
  • AXE (Lynx in UK): I (young men) want to attract as many beautiful and sexy women as possible.
  • Haribo Starmix: There’s a child inside every adult.
  • Dulux sample paint pots: I love to decorate my home, but I don’t want to look stupid by choosing the wrong colour.

You’ll notice that most are written in the first person as if the target audience is speaking. This makes it much easier to understand and resonate with the reader without much effort since we can immediately put ourselves in the other person’s shoes.

If you’re interested in learning more details about the insight development … Click to continue reading

In Today’s Competitive Market, AI is the Key to Winning Customer Loyalty

Posted on by Denyse Drummond-Dunn

If you haven’t already heard, AI is the key to winning customer loyalty today!

As the digital revolution transforms the business landscape, customers demand more from their interactions with companies.

They expect personalised, seamless experiences across all channels and touchpoints, and they want their needs to be anticipated so they are met both quickly and efficiently.

To address these expectations, businesses realise that AI is the key to helping them deliver exceptional customer experiences that are both personalised and efficient.

So let’s explore how AI can help your organisation improve your customer’s experience and provide some valuable tips for seamlessly integrating AI into your customer-first strategy.

 

AI is the key to customer satisfaction through personalisation

AI can help businesses meet their customers’ expectations by providing personalised recommendations, tailored messaging, and customised experiences.

One way of doing this is through chatbots and virtual assistants. These tools can help businesses provide instant support and assistance to customers 24/7. They can and should be programmed to recognise each individual’s preferences and behaviours.

Chatbots and virtual assistants can also help businesses collect data on customer interactions, which can then be used to improve the accuracy and effectiveness of customised recommendations.

Another way to personalise customer experience is by making use of predictive analytics. By analysing customer data, businesses can identify individual preferences and behaviour patterns. It can then use this information to personalise their products and services further.

For example, a retailer might use predictive analytics to recommend products based on a customer’s past purchases. A bank might use predictive analytics to offer customised financial advice based on a customer’s spending habits.

 

AI is the Key to Customer Loyalty and Efficiency

Efficiency is another critical component of delivering an exceptional customer experience. Customers want their needs to be met quickly and efficiently, and they expect businesses to be responsive and proactive in addressing their concerns. AI can help companies to improve efficiency in several ways, from reducing response times to automating routine tasks.

One way to improve efficiency is through chatbots and virtual assistants. These tools can provide instant support and assistance to customers, reducing response times and freeing human agents to focus on more complex issues. Chatbots and virtual assistants can also be programmed to automate routine tasks, such as scheduling appointments or processing payments, further improving efficiency.

Predictive analytics can again be used to also improve efficiency. By analysing customer data, businesses can anticipate customer needs and proactively offer solutions before a customer even realises they have a problem.

For example, a telecommunications company might use predictive analytics to identify when a customer’s data usage is about to exceed their plan limits and proactively offer them an upgrade to a larger plan. With an attractive incentive to do so, this will result in a win-win for both the business and their customers.

 

Best Practices for Integrating AI into Your CEX Strategy

Integrating AI into your customer experience strategy can be a complex process, but there are some best practices

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