How to Personalise Customer Experience Without Being Creepy
Abisola Fagbiye is a Customer Experience Strategist and Microsoft 365 Productivity Consultant with a Professional Diploma in CX from The CX Academy, Ireland. A WiCX member, she transforms how businesses connect with customers, turning interactions into drivers of loyalty and growth.
Customers appreciate it when you remember their preferences and try to anticipate what they might need. However, if your knowledge feels invasive rather than helpful, it can cross a line. Finding that delicate balance between respecting privacy and being attentive is key, it can either foster loyalty or cause customers to lose trust. Many companies only realise which side they're on after they've lost some customers, so it's important to stay mindful of this balance.
Customers really want you to understand them better. They appreciate recommendations that align with their interests, messages that reflect their preferences, and experiences that genuinely seem crafted for their needs. It's also important to be mindful so they don't feel like you're monitoring them too closely. The key isn't about how much data you gather, but rather what you do with it. Research from Epsilon shows that 80% of customers are more inclined to buy from brands that offer personalised experiences. According to Accenture, consumers are likely to stop supporting brands that fail to personalise. Personalisation has moved from being a competitive edge to a necessary part of survival. And data from Boston Consulting Group show that companies that master personalisation often see significant revenue boosts compared to their competitors.
Most companies are failing
Research from Segment reveals that most companies think they're providing personalised experiences. Still, only 60% of customers feel the same way, highlighting the need to understand the gap between perceived and actual personalisation to keep customers engaged and satisfied.
Personalisation operates across dimensions
Content personalisation helps deliver information that genuinely connects with individual interests. When the articles, products, and offers customers see align with what they genuinely care about, rather than just promoting what the company wants, they feel more valued. Timing personalisation ensures we reach customers at the moments they're most open to engagement, while channel personalisation meets them in their preferred communication spaces. Recognising where each customer is in their journey allows us to tailor experiences accordingly. New customers may need a different approach compared to loyal supporters.
Ultimately, building genuine customer loyalty depends on providing personalised experiences that feel sincere and authentic, not just driven by algorithms.
The privacy paradox resolves with intent
Customers generally don't mind companies using their data, as long as it's done respectfully and helpfully. They appreciate when personalisation makes it easier to find products they truly want. However, if it feels manipulative or intrusive, they may feel uncomfortable or resentful. When recommendations help save their time, it feels like good service. But if targeting seems more like surveillance, it can breach their sense of privacy. Truly caring personalisation that aligns with customer interests can build strong trust, while focusing only on company goals can weaken it.
Use the data you already have
Your purchase history helps you understand your customers' preferences, needs, and shopping habits, making it easier to better serve them. By looking at their browsing behaviour, you can see what interests them, even if they haven't made a purchase yet. Support interactions give insights into issues that personalised solutions can address beautifully. Over time, communication preferences become clear through their behaviour, allowing you to connect in ways that feel natural and respectful. This first-party data, shared happily by your customers from their interactions with you, helps create a personalised experience that feels genuine rather than intrusive. You're using what they've shared openly rather than relying on intrusive surveillance.
Technology enables scale
Unified customer data platforms bring together information from various sources, creating detailed profiles that help us understand our customers better. Real-time decisioning engines work seamlessly to show each customer what matters most at any given moment. AI and machine learning uncover patterns that might otherwise escape human analysis, enriching our insights. Integration links these personalisation efforts directly to customer-facing systems, ensuring a smooth experience. Without this solid foundation, personalisation might feel piecemeal rather than comprehensive. It's also important to see how AI can enhance personalisation responsibly, while respecting ethical boundaries, to build trust and confidence.
Know the creepy line
Personalisation is an excellent tool to enhance customer experience, but it can feel a bit unsettling when it reveals secrets customers didn't expect or uses their information in unexpected ways. For example, showing ads for products discussed privately can seem intrusive. Similarly, predicting life events before customers share them might make them uncomfortable. A good rule of thumb is: Would your customers feel at ease if you explained how you know what you do? If not, you might want to rethink your approach. Being open about how you use data isn't just the right thing to do, it's also an innovative business practice. When customers understand how their data helps improve their experience, they tend to be more comfortable with sharing it.
Companies excelling at personalisation share practices
They focus on being genuinely helpful rather than just targeting specific groups. Their recommendations are aimed at solving real problems, and their communications offer actual value. Offers are made to match what customers genuinely need. They build trust over time by demonstrating their value rather than asking for information right away. Customers are given control over their data and preferences, and the approach is continually tested and improved. What feels personal to one group might seem intrusive to another, so understanding this difference is key.
Research from McKinsey shows that organisations with advanced personalisation strategies experience strong revenue growth and lower costs of acquiring new customers. The secret is using personalisation in a way that genuinely benefits customers, not to manipulate them. When done well, personalisation should make experiences more helpful, not more controlling.
Help your team master personalisation without crossing the creepy line. "Deliver Consistency Without Killing Personalisation" tackles this exact challenge, showing how to use data to serve customers better without making them feel like they're being surveyed. Your marketing and CX teams will learn the framework that leading brands use to personalise ethically, building trust rather than destroying it. Inquire about this keynote or email abisola@abisolafagbiye.com
Read more from Abisola Fagbiye
Abisola Fagbiye, Customer Experience Strategist
Abisola Fagbiye is a Customer Experience Strategist and Microsoft 365 Productivity Consultant who helps organisations rethink engagement, build CX-driven cultures, and drive retention and growth. With global experience spanning SMBs to enterprises, she delivers workshops and training that blend strategy, energy, and actionable insight. She is a mentor and rising voice in CX leadership.
Further reading:
AI in Customer Service: How to Automate Without Losing the Human Touch
How to Turn Satisfied Customers into Loyal Advocates
