24/10/2026
What is Value Proposition in a Business Model. I like this simple illustration from Google...
In a value proposition, these three concepts represent the journey a customer takes from noticing your product to choosing it over everything else.
1. Relevance: "Do I actually need this?"
Relevance means your product solves a real problem for the customer. It connects directly to their current life, needs, or daily struggles. If something is relevant, the customer looks at it and thinks, "Wow, this company understands exactly what I am going through."
* Simple analogy: If you have a pounding headache, a painkiller is highly relevant to you. A pair of sunglasses is not.
2. Distinctiveness: "Why should I pick you instead of them?"
Distinctiveness means being clearly different and better than your competitors. It highlights your unique strength or "superpower" that rivals cannot easily copy. If your product is distinctive, the customer understands your specific advantage right away.
* Simple analogy: If five different companies sell painkillers, but yours is the only one that works in less than 5 minutes, your speed makes you distinctive.
3. Salience: "Are you the first thing I think of?"
Salience means being top-of-mind and easily noticed when a customer is ready to buy. A value proposition can be relevant and distinct, but it won't matter if customers forget you exist. Salience is about visibility, emotional resonance, and emotional triggers that ensure your brand cuts through the noise.
* Simple analogy: When your headache starts, the very first brand name that pops into your head is the one that has high salience.
Based on Google, this is how they work together... To win customers, your value proposition needs all three:
1. You must be salient so they think of you first.
2. You must be relevant so they know you can solve their problem.
3. You must be distinctive so they choose you over everyone else.
Let's look at DBS's Digital Transformation journey case study to win the "Best Bank in the World" by Global Finance in 2018.
This illustration is strictly from Google AI:
DBS Bank transformed its value proposition by using AI to shift from a traditional, slow-moving financial institution into what it calls a "technology company that provides banking services".
By embedding AI across its operations, DBS successfully built relevance, distinctiveness, and salience into its brand strategy:
1. Relevance: Solving Real, Everyday Customer Problems
DBS uses AI to anticipate customer needs and eliminate common frustrations, making banking feel deeply personal and timely.
* Hyper-Personalised "Nudges": Instead of blasting generic offers, the bank's AI analyses individual spending patterns. For example, it detects if a customer is about to face an account shortfall and sends a push notification to help them avoid late fees.
* Pre-emptive SME Protections: For corporate clients, DBS’s AI identifies over 95% of non-performing loans up to three months before a business experiences actual financial distress. This allows the bank to step in early and save over 80% of at-risk small businesses from defaulting.
* Cutting Wait Times: Through its "Managing Through Journeys" program, AI and automation target customer pain points like account opening delays and ATM wait times, drastically reducing customer effort.
2. Distinctiveness: Operating at a Speed and Scale Competitors Can't Match
While many banks use AI for isolated "science projects," DBS changed its internal operating model to scale AI across the entire organization, making it highly unique.
* Industrial-Scale Deployment: DBS built its own internal AI protocol platforms, called ADA and ALAN. Partnering with tech experts, they slashed the time it takes to build and launch an AI model from 18 months down to less than 5 months.
* The "40,000 AI Agents" Workforce: Distinctiveness isn't just client-facing; it's how they work. DBS deployed tools like DBSGPT, giving all 40,000 employees the capability to build personal AI assistants, write credit memos 30% faster, and cut customer service hold times by a third.
* Market-First Products: Its digital agility allowed it to launch unique offerings ahead of the curve, such as becoming the first bank in the region to launch tokenised physical gold for retail customers.
3. Salience: Staying Top-of-Mind by Becoming "Invisible"
DBS achieved high salience by embedding banking into the digital environments where customers already spend their time, and by earning unmatched global recognition.
* "Invisible Banking": DBS's core transformation philosophy was to "make banking joyful" by making it disappear. By integrating its AI and API protocols into ride-hailing apps, property portals, and e-commerce platforms, the brand triggers its services instantly at the exact moment a customer thinks about buying a car or a house.
* Global Visibility and Reputation: True salience means being the first name people think of when they hear "innovation." By relentlessly promoting its tech narrative, DBS became the first Singapore-listed company to cross S$200 billion in market capitalisation and is consistently named the "World's Best AI Bank" or "World's Best Digital Bank" by global institutions.
Summary of the DBS AI Value Proposition
Because its AI infrastructure is distinctive (fast, scalable, and built into the company culture), DBS delivers highly relevant tools that actively protect and improve the customer's financial life. This combination keeps them incredibly salient — ensuring they remain the dominant, top-of-mind financial leader in Southeast Asia.
