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Personalized Customer Experience: Top 4 Ideas + Examples

October 3, 202411 MIN READ

With countless blogs already floating around the internet (and we bet you’ve got a few open in separate tabs right now), when it comes to delivering personalized customer experience, it ultimately boils down to this:  

  • Are you offering customers recommendations that are so relevant they didn’t even know they wanted them?  
  • Are you interacting with customers when they land on your website or app?  
  • Do you remind them about the things they care about and things they might want to track at your store?  
  • And lastly, are you kicking off conversations on their preferred channels and picking up right where they left off?  

If you answered yes to all of the above, bravo! You’re well on your way to becoming an unstoppable force in your industry.

But if not, don’t worry — you’re in the right place. This blog has everything you need to deliver a personalized customer experience at scale, with real-life examples from brands leading the charge.

What is a personalized customer experience?  

Personalized customer experience is all about customizing products, services and customer interactions to match individual customer needs, demographics and preferences. Instead of a cookie-cutter, one-size-fits-all approach, it uses data to craft unique, relevant experiences for every customer. 

It can be as simple as offering a “dark theme” on Slack or curating a wishlist of your favorite items on Amazon. 

Take the classic "Buy it again" button on e-commerce sites. If someone loved a product enough to buy it once, there’s a good chance they’ll want it again. But timing is key. Picture a coffee lover who finishes their beans every two weeks. They’re far more likely to restock if you send them a timely reminder just when they’re about to run out. That’s personalization in action.   

Types of personalized customer experience (+Examples) 

Personalized customer experiences drive customer loyalty. Tailored interactions bridge brands and customers, offering unique value to each individual and helping foster a deeper customer connection. Here are the key types of personalized customer experiences, with examples of how companies bring them to life: 

1. Product recommendations 

Product recommendations suggest items based on a customer’s past behavior, preferences or even demographic details like age, gender or education level. This improves product discoverability and boosts sales and repeat purchases.  

Take Amazon, for example. The company uses AI-driven algorithms to curate sections like Customers who bought this item also bought or “Recommended for you.” These suggestions persuade users to explore and purchase products that people with similar interests have liked. While users love this feature because it helps them discover items they may not have found otherwise, it’s a smart way to increase average order value from a business perspective.  

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2. Tailored marketing 

Tailored marketing campaigns dive into customer journeys and interactions to pinpoint key customer touchpoints that can drive conversions while showing a true understanding of customer needs. This might mean offering complementary items, providing after-sales support or sending limited-time discounts to curb abandoned carts.  

A great example is Dollar Shave Club's abandoned cart email marketing campaign. It perfectly showcases personalized marketing by reminding customers when they might need that nudge to complete their purchase.   

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3. Customized service interactions 

Think about walking into a high-end beauty boutique. The moment you step in, a dedicated beauty consultant will examine your skincare routine, past purchases and even your lifestyle to curate a tailored regimen. You now have a personal stylist to suggest the best foundation for your skin tone, a better hairstyle or a serum that works well with your current cleanser. That's the Sephora experience; this level of attention to detail results in customized service interactions.  

Customized service interactions are about treating customers like individuals, not just numbers. They are 1:1 engagement between a brand and a customer, customized to specific individual needs, preferences and behaviors. It's when a business really gets you and goes the extra mile to help customers.

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🎧 Listen Now: How to Build 1:1 Customer Engagement at Scale 

Benefits of personalized experience for customers

Ken Blanchard hit the bullseye when he said, “Just having satisfied customers isn’t good enough anymore. If you want a booming business, you have to create raving fans.”  

That's where personalized customer experiences come in. When you know your customers well and give them what they want, they can become your biggest cheerleader.  

Here are more reasons why personalized customer experience matters. It:  

💝 Drives customer loyalty: According to a McKinsey study, 71% of customers expect brands to recognize them as individuals and 76% are straight-up annoyed when brands miss the mark. So, brands need to understand their customers, including their needs and preferences, their use cases, budget constraints and discount requirements. That's the new normal. When you tailor interactions to each customer, you're not just selling stuff but keeping your loyal customers around for the long haul.  

📈 Boosts user retention: Happy customers stick around. It's that simple. When people feel valued and understood, they’re less likely to jump ship. The numbers back it up — a whopping 64% of customers have ditched brands due to poor experiences. That’s a wake-up call with a huge chunk of your customers walking out the door. Find more such CX statistics.   

💸 Improves the bottom line: Superior personalized customer experience justifies premium pricing, helps identify opportunities for upselling and cross-selling and expands customer lifetime value. Moreover, 90% of customers are ready to open their wallets wider for businesses that deliver personalized experiences.

🥇 Outperforms competition: Outperforming the competition involves using personalized touches such as addressing customers by their names, referring to their purchase history and providing tailored recommendations. These help create emotional connections that turn casual shoppers into loyal brand advocates. Needless to say, this would be a tough act for your competitors to copy.  

Top ideas for personalizing the customer experience

Understanding the ‘whats’ and ‘whys’ of personalized customer experience is just the first step to success. Knowing how to implement this knowledge to unlock endless growth opportunities is imperative. Here are some ideas to integrate personalization into your customer experience strategies

 1. Create digital twins of customers  

Digital twins are powerful but only as good as the data you feed them. Start by gathering actionable data across all touchpoints — purchase history, browsing behavior and social media interactions — to build detailed profiles that mirror actual customer preferences and behaviors.     With digital twins, you can efficiently map the customer journey and quickly identify drop-off points. For instance, if the twin repeatedly stalls at the checkout page, it's a clear signal. Addressing this issue can significantly boost customer satisfaction and sales.      

Before you invest in a new product, why not take it for a virtual test drive? With digital twins, you can see how customers react, which features they love or hate and how to position your product for maximum impact. It's like having a focus group that's always available, saving you time and resources.   

You can also fine-tune your customer engagement strategies and deliver hyper-targeted marketing messages by A/B testing visuals and offers. Want to see if a bold headline or a soft approach converts better? Your twin will tell you in seconds, not weeks.   

And the best part is that you can create a digital twin in 3 easy steps with Sprinklr

See Sprinklr Digital Twin in Action 

2. Leverage social listening  

Data-driven social listening goes a long way to personalizing your outreach, reducing the expectation gaps and improving brand value. Here is how to harness social listening for improved customer experience:   

  • Adapt to consumer feedback: Monitor conversations on social channels to build real-time feedback loops. If you notice a spike in positive social mentions about a new feature, amplify that in your next marketing campaign or product mailer.   
  • Identify consumer sentiment: Tackle recurring user pain points by paying attention to customer sentiments. If you see a lot of complaints on social media about things like poor customer service, chatbots that only speak one language or a clunky user experience, automate the analysis of those keywords and mentions using a social listening platform. Then, these issues can be brought up in internal meetings to find solutions.  

3. Create omnichannel customer service  

Customer expectations constantly evolve and their preferred communication channels shift as they grow from casual browsers to loyal customers. With attention spans shrinking and social media rising, customers now expect businesses to meet them wherever they are, using the right communication channels at the right moments.     

For example, new customers often prefer email for pre-purchase communication, while post-purchase behavior shifts to social channels for delivery updates. When it comes to support, customers usually prefer chatbots for quick, no-fuss resolutions — the faster and more seamless your updates, the more trust and credibility you build with your customers.     

While you may already have a customer service workflow in place, your audience's constant platform-hopping, from Facebook to Pinterest to Gmail, can be a challenge. However, a unified customer service software can be your key to keeping up. Imagine the efficiency and ease of managing all these interactions from a single platform.     

Consider Uber's case. They had a solid cross-channel presence but lacked a centralized tool to manage customer interactions efficiently. By adopting Sprinklr Service, Uber was able to provide proactive customer service at scale, all while maintaining a personal touch. This solution saved Uber's agents over 4,000 hours since its launch, reduced first response time by 33% and increased the number of cases handled within their SLA by 8%.     

Plus, the average case handle time dropped by nearly a minute and a half. Just imagine the relief of having such significant time and efficiency savings in customer service operations.  

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4. Use Generative AI tools  

CX leaders are already betting on AI to drive experience-led customer retention. In fact, AI has the potential to unlock up to a trillion dollars in new value annually and a large portion of that growth is projected to stem from customer experience improvements.   
Here’s how you can leverage AI and AR/VR tools to elevate customer experiences:   

  • Automated customer workflows

AI-powered omnichannel routing can transform how you manage incoming calls and chats by analyzing sentiment, language and intent. This leads to smarter ticket routing, fewer escalations and better overall service. By incorporating skill-based routing, you can ensure that tickets are directed to the right agents based on their expertise and the issue’s priority.  

  • Leverage AR/VR Tools: 

AR/VR technology takes live shopping experiences to the next level with virtual fitting rooms and try-ons for clothes and accessories. This strategy boosts customer engagement, reduces return rates and enhances the shopping experience.  Take Home Depot, for example — customers using AR had conversion rates 2 to 3 times higher than those who didn't. Similarly, ASOS's "See My Fit" trial is a prime example of how AR can attract new customers and increase retention.   

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  • Segment customers: AI can analyze purchase history and browsing behavior to build detailed customer profiles, allowing you to deliver highly personalized recommendations. AI also enhances loyalty programs by analyzing engagement data and tailoring rewards, just like Starbucks does with its custom reward offerings based on individual habits. 

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💡 Pro Tip 

Use AI to tailor your marketing efforts — campaigns, ads or social content — based on where customers are in their buyer journey. For someone in the "consideration" stage, notify them when their desired items (or similar ones) go on sale. For those in the "awareness" stage, send emails packed with valuable, brand-related content to reel them in.

Unlock personalization-led growth with Sprinklr  

High customer churn and lackluster brand awareness?  Yikes — that's the kind of horror story that keeps CX managers up at night. Skip the personalized touch and you’re practically rolling out the red carpet for your competitors. 

But let’s get real.

Personalization isn’t magic — it’s data-driven and if your data is siloed or your customer journeys are fragmented, you're fighting an uphill battle. Enter SprinklrSprinklr’s Unified-CXM platform is built to unlock the true potential of your customer data, helping you deliver personalized experiences that feel seamless, not scattered. Here’s what you get: 

  • Omnichannel mastery across 30+ channels, bringing you a unified view of your customer’s entire journey. 
  • Key brand insights like awareness, share of voice and CSAT — all in one place, across all major social platforms. 
  • Real-time analytics to fine-tune your CX strategy and consistently deliver content and interactions that put your customers at the center. 

Request a demo and see how Sprinklr can help you create the personalized experiences your customers deserve and your bottom line demands. 

BOOK MY SPRINKLR UNIFIED-CXM DEMO 

Frequently Asked Questions

Personalized CX focuses on individual needs, using data to tailor interactions. Traditional customer service is a generic, one-size-fits-all approach to customer service. 

Use automation for routine tasks (FAQs, order tracking, etc.) and free agents for complex issues like deployed orders, untraceable orders and other high-value conversations.  

Data fuels personalization. Gather it from every interaction, from website visits to purchase history. Build complete customer profiles to predict behavior and tailor experiences. 

Track metrics like customer lifetime value, churn rate, net promoter score (NPS), conversion rates and engagement. Measure how personalization impacts these KPIs over time. Conduct A/B tests to quantify the impact of personalized experiences vs generic ones.  

Yes, there are some potential risks to implementing a highly personalized customer experience. Customers might feel uncomfortable with the amount of data being collected about them or find the personalization level invasive. If the data is not highly accurate, it degrades the customer experience.  

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