pharoscion global

pharoscion global

License

How to use my images

Photographer: pharoscion

Copyright: pharoscion

Credit: pharoscion

AI-Driven Customer Experience: Transforming Engagement and Personalization in the Tech Industry

From the pre-internet era of segment-of-one marketing to today's digital customer journey, personalized experiences have become the cornerstone of competitive advantage. Personalization now extends far beyond using customers' names in advertising, having complete data ready for customer service calls, or tailoring web landing pages with relevant offers. It has become the design target for every physical and virtual touchpoint, increasingly powered by AI.

Let’s kick off with a real-world example that showcases the cutting-edge potential of AI in action.

Written By : Vanshika Joshi, Indian Institute of Technology Roorkee

Brinks is a 163-year-old business well-known for its fleet of armored trucks. The company also licenses its brand to a lesser-known, independently operated sister company, Brinks Home. This Dallas-based smart home technology business has struggled to gain brand recognition commensurate with the Brinks name. It competes against better-known systems from ADT, Google Nest, and Ring. Despite earning stellar reviews from industry analysts and customers, its market share remains at only 2%. However, since its inception in 1994, Brinks Home has amassed a wealth of data: product usage information from its systems, extensive historical customer-level transaction data from its call centers, and competitive intelligence gathered by its field representatives.

Brinks sought to leverage this information to accelerate growth and optimize every customer touchpoint across all channels, focusing on messaging, personalization, and user experience delivery. In fall 2020, partnering with AI start-up OfferFit, the company tested thousands of message and offer combinations, varying content, channel, and delivery times. Brinks reorganized its structure around customer acquisition, service, and renewal. It began using AI to optimize service-call scheduling, enhance cross-sell recommendations from call center representatives, and conduct customer outreach for wireless system upgrades. Within two years, Brinks scaled its A/B testing from two or three tests daily to approximately 50,000, with the capacity to add more as needed. This process drastically reduced wait times for test results and enabled Brinks to personalize every customer interaction. The results were impressive: during the first half of 2021, its average direct-to-consumer (DTC) package size doubled from $489 to $968. DTC revenue per user increased from an average of $42.24 to $45.95, and overall revenue grew by 9.5% compared to the same period in 2020.

Brinks Home exemplifies how brands can succeed by tapping into a deep reservoir of customer information to transform and personalize user experiences.

Key Takeaways

Personalization has become crucial for competitive advantage in the tech industry, evolving from basic customization to AI-powered experiences across all touchpoints.

AI-driven technologies like big data analytics, recommendation systems, and conversational agents are transforming customer engagement and personalization.

Extended Reality (XR) technologies are creating immersive customer experiences, blending digital and physical environments.

AI is enabling real-time personalization throughout the customer journey, enhancing satisfaction and fostering deeper brand connections.

Companies like Pharoscion Global are leveraging AI to provide comprehensive personalization solutions across various aspects of the customer experience.

Successful personalization requires overcoming challenges such as cross-channel orchestration and data management.

The "Five Promises of Personalization" (empower, know, reach, show, and delight) guide companies in deepening digital customer relationships.

While personalization offers significant benefits, companies must also address the personalization-privacy paradox to maintain customer trust.

AI-Based Technologies Empowering the Customer Experience.

Moving ahead of digital transformations, AI-driven approaches such as data science and new technologies like extended reality, robots, recommender systems, the internet of things, conversational agents, etc. are the modern ways to improve customer experience. According to a Bain & Company survey, most organizations incorporate AI-based customer experience tools for sustainable competitive advantage. The following section of the article addresses six emerging AI-enabled technologies that can transform the customer experience.

Big data analytics (BDA)

Big data analytics unlocks a wealth of valuable insights by processing vast datasets, including transaction histories, customer preferences, social media interactions, and GPS signals. As digital adoption accelerates, the sheer volume and velocity of data continue to surge. Businesses leverage tools like Hadoop, Spark, and Apache Flink to process and analyze this raw data, enabling them to forecast demand, predict customer behaviors, and drive hyperpersonalization. Real-time analytics tools, such as Kafka and Tableau, empower companies to make faster, data-backed decisions, allowing for strategies like Amazon’s anticipatory shipping, which predicts and delivers products customers are likely to buy. Organizations that adopt a data-driven approach gain a competitive edge, using these insights to enhance decision-making and drive improved financial performance.

Recommendation Systems (RS)

Recommendation systems streamline decision-making by presenting users with the most relevant products or services based on their preferences. Driven by AI, these systems analyze user behavior and historical interactions to generate personalized suggestions. For instance, Amazon’s recommendation engine tailors product suggestions by analyzing both individual browsing history (content-based) and community preferences (collaborative filtering).

Hybrid systems, like Amazon's, combine these techniques, using multiple algorithms to boost accuracy and relevance. By simplifying choices, recommendation systems enhance user satisfaction and engagement, making them vital for e-commerce platforms and digital services.

Amazon employs sophisticated recommendation algorithms based on a user's data to suggest products throughout the site, e.g., "Customers who bought this also bought" and "Recommended for you."

Conversational Agents (CA)

Conversational agents, or AI-powered chatbots, are like your personal virtual assistants, ready to chat 24/7. They use natural language processing (NLP) to understand and respond to your questions, making customer support feel smooth and effortless.

Whether it’s recommending a product, solving an issue, or even having a casual conversation, these digital sidekicks can handle it all. From e-commerce to healthcare, businesses are using conversational agents to keep users engaged and happy, delivering instant, personalized interactions that feel less like tech and more like talking to a friend.

Service robots/delivery drones/delivery bots.

AI-powered techs like service robots, delivery drones, and bots are excitingly reshaping customer experiences. Imagine walking into a mall or airport and being greeted by robots like Hilton’s “Connie” or LG’s CLOi, ready to assist with anything you need. These futuristic helpers can be physical or holographic, offering cost-effective and space-saving solutions.

On the delivery front, Amazon’s Prime Air is taking off with drone deliveries, while Starship Technologies' bots have already made over 5 million autonomous deliveries. These speedy, eco-friendly drones and bots are revolutionizing how packages and food reach your doorstep, making the entire process faster, greener, and more convenient. The future of customer service has arrived, and it's powered by AI!

Extended Reality (XR)

Extended Reality (XR) is revolutionizing how we experience the world, blending augmented reality (AR), virtual reality (VR), and mixed reality (MR). AR enhances our surroundings by overlaying digital elements, like Snapchat filters, Lenskart’s 3D mirror, and IKEA’s design app. VR transports users into fully immersive virtual worlds via 3D headsets, with applications in gaming, education, and healthcare.

Meanwhile, MR combines the real and virtual, allowing interaction with digital objects in your physical space. Take Apple’s Vision Pro, for example—this advanced headset seamlessly integrates digital content with your real environment, offering a new level of immersive experience. Imagine walking into a vegetable shop and finding yourself in a mixed reality farm where you can virtually pluck fruits and vegetables from trees, all part of a digital environment created by MR.

The Apple Vision Pro is a mixed-reality headset that can be used for both virtual reality (VR) and augmented reality (AR).

The above-mentioned technologies unfold enormous possibilities to enhance the customer experience across customer purchase journeys. Businesses need to develop an AI-driven customer journey to provide a magical experience to their customers.

AI Transforming Customer Journey

The customer journey is being transformed with real-time personalization that tailors every interaction to individual preferences. By analyzing behaviors and predicting needs, technology delivers customized recommendations and offers as users engage with brands. This dynamic approach ensures that every touchpoint feels uniquely relevant, enhancing satisfaction and fostering deeper connections between brands and their customers.

Transforming Customer Experience with AI: Pharoscion Global's Approach

Pharoscion Global is shaking up customer experience by using AI to bring personalization to a whole new level! Here’s how they’re doing it:

Customer Insights & Analytics

Pharoscion's AI crunches the numbers to give businesses actionable insights—from tailoring marketing campaigns to boosting customer loyalty. Think of it like a secret recipe for delivering exactly what your customers crave.

AI-Driven SEO & Digital Marketing

With Pharoscion’s AI, your content and websites get turbo-charged. Need PPC campaigns that work like magic? Pharoscion’s AI handles predictive bidding like a pro! And it’s not just the technical stuff—AI even helps you analyze social media and spot influencers like a social media wizard!

AI-Powered Market Research

Goodbye to guesswork! Pharoscion’s AI tools help businesses analyze market trends, predict consumer behavior, and stay ahead of the competition. It’s like having a crystal ball—but way more reliable!

Social Media Analytics

AI keeps tabs on your brand’s social media presence, monitoring engagement and uncovering key influencers. It helps businesses optimize their social media strategies, so your brand stays relevant and popular, like the cool kid on the digital block.

AI-Enhanced Content Creation

Creating content can feel like a grind, but with Pharoscion’s AI, you get high-quality blogs, social posts, and marketing campaigns that are personalized for every audience. Think of it as having your own AI-powered creative genius on demand!

Chatbot Development

AI-powered chatbots from Pharoscion are like your 24/7 customer support heroes—answering questions instantly and keeping customers happy all day and night. And yes, they integrate smoothly with CRM systems for an extra personalized touch!

AI in Advertising

Tired of ads that miss the mark? Pharoscion’s AI swoops in to optimize ad placements, automate copy generation, and even run programmatic advertising for real-time bidding. It’s like having an AI advertising guru working behind the scenes!

AI-Powered Email Marketing

Boring, one-size-fits-all emails? Not anymore! Pharoscion’s AI tailors personalized email content, delivering it at just the right moment. You’ll see better engagement and higher click-through rates while the AI handles performance tracking and automates your workflows. Easy, right?

In short, Pharoscion Global is giving businesses all the tools they need to create deeply personalized, AI-driven customer experiences. Whether it’s optimizing SEO, social media, email marketing, or even handling customer support with AI chatbots, Pharoscion is all about helping businesses connect with their customers in smarter, more meaningful ways!

The Impediments to Personalization

Most brands fail to personalize customer experiences at the scale or depth required to compete with industry leaders. Delivering an end-to-end personalized experience demands cross-channel orchestration—a feat no brand has fully achieved.

For challenger brands, merging physical and digital customer experiences may be the only way to compete with digital giants like Amazon and Google. Early adopters have leveraged emerging technologies such as the Internet of Things, machine learning, marketing technology (Martech) platforms, and various digital media tools. When combined with agile methods, these technologies create significant advantages. Brands aiming to surpass—or even catch up with—these early movers must evaluate their data and technology foundation. They need to ask: Are their organizational structures and processes adequate? Have they cultivated a rapid test-and-learn mindset?

In a world where consumers are expecting more products, services, and support to be accessible instantly, seamlessly, and just the way they want it—personalization has become a do-or-die business goal.

At its core, personalization is about speed—speed in getting to know the customer throughout their journey and speed in constantly improving the customer experience based on that knowledge.

The Five Promises of Personalization

The five promises of personalization are promises the company makes to the customer—and needs to live up to—in order to deepen digital customer relationships. In the age of AI, every one of these promises must be delivered by bringing together a human touch and the right technology. The five promises of personalization include: empower me, know me, reach me, show me, and delight me.

A small percentage of companies, mostly digital natives, are already living up to these promises and delivering one-to-one, advanced personalization for their customers. Most companies, however, still have far to go to achieve the full potential of cross-channel personalization.

EMPOWER ME

“Empower me” is the overarching and most important promise of personalization. It represents your effort to put the customer in the driver’s seat of the relationship by helping them reach a goal (such as personal assistants).

KNOW ME

“Know me” is foundational to enabling the other promises of personalization. Success is measured by the breadth and depth of your customer relationships.

REACH ME

“Reach me” is the promise that personalization will be relevant and timely based on the unique context of the individual customer. Brands accomplish this goal by reaching out to the right customer in the right channel at just the right moment.

SHOW ME

“Show me” is about how a customer experiences content that you are personalizing for them. Fulfilling this promise requires having the right content at the customer’s fingertips and tailoring it precisely to their individual needs.

DELIGHT ME

“Delight me” is the promise that makes personalization feel magical. Getting the experience just right requires deeply knowing the customer and discovering what creates joy for them over time.

Case Studies

1.Netflix has indeed transformed the way users consume content through its AI-powered recommendation system. By analyzing viewer behavior, preferences, and patterns, the platform has created highly personalized user experiences that keep audiences engaged. However, as with any advanced system, Netflix faces notable challenges:

Challenges :

  • Data Overload: With a global user base, Netflix processes an enormous amount of data daily. The sheer volume makes it challenging to ensure recommendations are both accurate and timely.
  • Algorithm Bias: Despite the intention to cater to individual preferences, algorithms can unintentionally reinforce biases by offering limited or repetitive content, reducing the diversity of recommendations.
  • Continuous Improvement: Netflix constantly refines its algorithms, incorporating user feedback and new trends to ensure that the recommendations evolve with viewer preferences.
  • Hybrid Approach: By integrating AI-driven recommendations with human curation (e.g., handpicked content collections or editor's choices), Netflix ensures a balanced and more engaging content discovery process.

Impact :

1.Netflix's AI-driven personalization has led to increased user engagement, helping viewers discover new content suited to their tastes. This personalized experience has been pivotal in improving retention rates and driving subscription revenue growth, solidifying Netflix’s dominance in the streaming industry.

Netflix uses content delivery networks (CDNs) to optimize content distribution and provide a personalized viewing experience based on user location, device, and network conditions.

2.Spotify, the music streaming giant with over 207 million active users, has redefined music discovery with its innovative personalized features. Since 2016, its Release Radar playlist has delivered fresh tracks every Friday, tailored to each listener from artists they already enjoy—like a personal DJ spinning the latest hits for their growing fanbase!

Challenges :

  • Ad Experience: With over half of Spotify’s 207 million active users on its ad-supported tier, delivering ads in a way that enhances rather than disrupts the user experience is critical. Ensuring that ads are relevant while maintaining a positive experience poses a unique challenge.
  • Feature Misunderstanding: The introduction of an ad ‘Skip’ button for free users revealed a lack of user education and inconsistent ad experiences. Users didn’t fully grasp when and how to use the feature, impacting its uptake.

Lessons Learned :

  • Holistic Research: Spotify’s product insights team combined user research with data science to understand how users interacted with the new feature. This approach unveiled a gap in user education and clarified the need for consistency in ad formats.
  • Iterative Design: Testing multiple iterations of the ad ‘Skip’ button helped refine the feature. Ultimately, Spotify learned that a consistent user experience across audio and video ads was essential for maximizing engagement.

Imapct :

By addressing these challenges, Spotify introduced targeted nudges and personalized PSAs to educate users about the ‘Skip’ feature, resulting in a more seamless ad experience. Today, Spotify allows unlimited skips for audio ads, while video ads can be skipped after 5 seconds—helping improve overall user satisfaction and engagement with the platform.

Resolving the Personalization-Privacy Paradox

According to a BCG survey report, only 29 percent of consumers accept that data results in better services, whereas 75 percent of consumers are concerned for their privacy and now limit themselves from sharing personal information online. Customers trade their privacy with personalization, and this conundrum is referred to as the personalization-privacy paradox. The following matrix is proposed to solve this paradox:

Privacy assurance helps ease the feeling of losing control by offering promises like “we won’t collect your data without permission” or “we won’t share your data with third parties.” This assurance reduces privacy concerns, making customers more willing to share information, which boosts the service's usefulness. Marketers favor personalization for its benefits like convenience and efficiency.

The Personalization-Privacy Paradox Matrix is a tool that balances convenience and privacy concerns, presenting four outcomes based on high/low feelings of control and convenience:


1.Only Privacy Concern: Services with low convenience and high loss of control leave customers focused solely on privacy risks, offering little personalization.

2.Personalization with Privacy Concern: High convenience but with privacy worries. Customers share information for personalized services but remain hesitant due to distrust.

3.Customization: Customization meets customer needs but requires effort from the user, offering low convenience and low loss of control.

4.Only Personalization: With sufficient privacy assurance, customers enjoy personalized services without concern for their data, resolving the personalization-privacy paradox.

Conclusion:

In conclusion, AI-driven personalization is revolutionizing customer experiences across industries, bringing a new level of engagement and satisfaction that was once unimaginable. It’s crafting tailored interactions that make every customer feel valued and understood. Companies like Pharoscion Global are leveraging AI to provide comprehensive personalization solutions across various aspects of the customer experience. However, businesses face the crucial challenge of balancing this personalization with privacy concerns. To build and maintain trust, companies need to implement strategies and technologies that respect user data while delivering exceptional, customized experiences. When done right, this balance not only enhances customer relationships but also fuels business growth, creating a win-win scenario where personalized service and privacy go hand in hand.