Understanding Value-Based Pricing Models

Uncomfortable Truth for Pricing Strategy: Customer value isn't guesswork. Think pricing is all about costs? Think again. Online value research reveals what customers truly value and are willing to pay for. Here's what happens when companies embrace value-based pricing: → True Value Discovery A vending machine company discovered untapped value in their premium service and better-quality product. Result? $40M additional annual revenue with no loss in sales. → Customer Understanding One dashcam manufacturer found that women had completely different value drivers than men and were willing to pay 25-30% more. Understanding this doubled their projected sales. → Market Segmentation By matching prices to different market segments' willingness to pay, a corporate training provider drove 40% revenue growth. → Consistent Results Our client successes show the power of value-based pricing: - SaaS company raised prices 41% without losing customers - Streaming service doubled revenue through strategic pricing - Industrial components manufacturer grew sales 20% while raising prices 15% The truth? When you understand true customer value, pricing becomes your most powerful growth lever. Are you ready to let data drive your pricing decisions? #PricingStrategy #BusinessGrowth #ValueBasedPricing

While competitors sold mattresses at ₹10,000, we launched at ₹29,900. Amazon and Flipkart said it wouldn't work, because our price was 3X what sells on their platforms. Today, The Sleep Company is the fastest-growing mattress brand in India. People ask how we convinced customers to pay a premium for a mattress. The answer isn't about pricing. It's about understanding value. Indian customers are willing to pay ₹1 lakh for an iPhone, and ₹2 lakh for a Royal Enfield. It’s not because they're "affordable”, but because the value is clear. So, the real question isn't "Can they afford it?" It's "Do they believe it's worth it?" Most brands price like this:  Cost + Margin = Price But, we flipped it to Value-Based Pricing:  What's the transformation worth to the customer? = Price Our product wasn't just 3x the price, it also delivered 5x the outcome. And every touchpoint communicated that. But most of the brands end up making these mistakes: 📍Underpricing to "get traction"  📍Overpricing without differentiation  📍Changing prices too often Here’s what worked for us instead: 📌 The sweet spot wasn't the lowest. 📌 Focused on value perception - packaging, unboxing, communication reinforced "premium." 📌 Invested in experience - website, stores, after-sales. Premium pricing demands premium delivery. As a result: 📍₹60,000 became our best-selling price point 📍Customers didn't ask "Why is it so expensive?" They asked, "When's the next collection?" Premium isn't about charging more. It's about being worth more. And if you deliver on that, the market will pay.

📦 JOBS-LED PRICING CANVAS™ A 10-step framework for transforming feature-led products into monetization-ready, jobs-based pricing models. Built on 4 stages: 1. Product (Discovery Layer) 2. Value (Logic Layer) 3. Customer (Preference Layer) 4. Pricing (Monetization Layer) 🔹 STAGE 1: PRODUCT [Discovery Layer] 🔹 Step 1: Feature Inventory What it is: ▪️ List every feature, tool, and function in the product
▪️ Include hidden, premium, or internal-use features Why it matters: ▪️ Creates a complete picture of what’s being delivered
▪️ Prevents missing monetizable elements 🔹 Step 2: Feature to Plan Mapping What it is: ▪️ Show how features are bundled into pricing plans today
▪️ Expose arbitrary or legacy packaging logic Why it matters: ▪️ Reveals pricing misalignment with value
▪️ Highlights over- or under-incentivized plans 🔹 Step 3: Feature Usage Mapping What it is: ▪️ Track actual customer usage of each feature
▪️ Look for engagement patterns by segment Why it matters: ▪️ Identifies “dead weight” vs “core value” features
▪️ Helps assess ROI per feature 🧠 STAGE 2: VALUE [Logic Layer] 🔹 Step 4: Feature Valuation What it is: ▪️ Qualitatively or quantitatively assign value to each feature
▪️ Use proxies: time saved, revenue unlocked, cost reduced Why it matters: ▪️ Establishes which features are worth monetizing
▪️ Anchors the price-to-value logic 🔹 Step 5: Jobs Identification What it is: ▪️ Identify core Jobs-To-Be-Done (JTBD) your product enables
▪️ Use user interviews, surveys, task analysis Why it matters: ▪️ Shifts the model from features to outcomes
▪️ Connects monetization to customer success 🔹 Step 6: Feature–Jobs Mapping What it is: ▪️ Map each feature to one or more customer Jobs
▪️ Create a logic layer: feature → outcome → value Why it matters: ▪️ Bridges product design with pricing strategy
▪️ Enables bundling and upsell opportunities around outcomes 🎯 STAGE 3: CUSTOMER [Preference Layer] 🔹 Step 7: Rank Jobs What it is: ▪️ Prioritize Jobs by importance and frequency
▪️ Use customer feedback and behavior data Why it matters: ▪️ Surfaces which outcomes matter most
▪️ Enables tiering or segmentation logic 🔹 Step 8: Value Jobs What it is: ▪️ Quantify perceived value of each Job
▪️ Use surveys, conjoint analysis, BWS, or proxies Why it matters: ▪️ Links value perception to potential willingness to pay
▪️ Avoids feature-based pricing traps 💰 STAGE 4: PRICING [Monetization Layer] 🔹 Step 9: Value Capture [%] Analysis What it is: ▪️ Decide what % of value created you can capture
▪️ Compare to industry benchmarks or strategic posture Why it matters: ▪️ Sets pricing defensibility
▪️ Avoids overcharging or leaving money on the table 🔹 Step 10: Pricing Metric / Model What it is: ▪️ Choose pricing metric: per seat, usage, credits, % of revenue, hybrid
▪️ Align it to how value is delivered + Jobs solved Why it matters: ▪️ Ensures pricing scales with value
▪️ Sets the business up for sustainable revenue growth #Pricing

Price isn't just about a number—it's about the mental model that supports it. 🧠 When OpenStore approached us about OpenDesk—their AI customer support tool for eCommerce brands—they faced a classic behavioral challenge: pricing doesn’t exist in a vacuum. The behavioral POV on value is that it’s subjective and created in the moment. That was true here, too. It wasn't actually the price point that was holding them back. It was the invisible mental accounting happening in customers' heads. 😬 Merchants mentally categorized support tools as expenses, not investments. This mental accounting created a pricing perception problem. When something falls into your "expense" bucket, your goal is to minimize it. When it's in your "investment" bucket, you evaluate ROI instead. 💡 When we reframe the value proposition, willingness to pay changes. Instead of "better customer support," we positioned OpenDesk as a "customer retention driver" – shifting its category from cost center to revenue generator. With this new mental model established, we designed pricing strategies that reinforced this investment framing: 💲 A hybrid model combining subscription + per-ticket charges that balanced predictability with value 🔢 A usage-based option with an interactive calculator that made total costs transparent—similar to how merchants evaluate ROI on other investments 👥 A per-seat model that simplified budgeting while aligning costs with team structure Curious to see where they landed, or to get ideas on optimizing product positioning or pricing strategy? 👇 Check out the case study in the comments. #BehavioralDesign #AIStrategy #ProductPricing

When I talk to #fractionalexecutives, I'm always befuddled when I ask them how they charge for their services because they give me a per-hour rate. But here's a thought - did you count your worth by the hour in your corporate roles? Would you ever consider a future employer paying you by the hour? Unlikely. Ironically, someone with years of experience, industry insights, and a proven track record of success suddenly falls into the trap of hourly billing. **The Hourly Trap** Hourly pricing, while straightforward, significantly undercuts the essence of what fractional executives offer. It binds your perceived value to the time spent rather than the impact created. This model limits your earning potential and misaligns client expectations, focusing on time over outcomes. Consider this: Compensation was never about the hours clocked in your corporate roles. It was about leadership, strategy, and the value you brought to the organization. Why, then, should you, as fractional executives, tether your worth to the ticking of a clock?  **Value-Based Pricing: The Way Forward** Value-based pricing stands out as a powerful alternative, emphasizing the outcomes and results of your work. This model aligns and encourages a deeper partnership, where the goal is not merely completing tasks but achieving significant, measurable business outcomes utilizing your genius and intellectual property. Adopting value-based pricing allows you to: - Highlight the strategic importance of your role. - Fosters a results-oriented approach to your engagements. - Ensure your compensation reflects the significant value you bring to an organization. However, value-based pricing requires shifting how you sell yourself to your prospects. It's about building trust by diagnosing, creating buyers' safety, and keeping in the forefront of your prospects' minds the outcomes they want vs. the benefits you bring. Create a pricing model and selling process that reflects the impact of your work. After all, the value you bring as a fractional executive is not measured by the hours you spend but by the outcomes they can achieve with your guidance. 

Think raising your prices will scare clients away? What if the opposite is true? On the latest episode of Stop the Noise, I spoke with Per Sjofors, founder of Sjöfors & Partners and author of The Price Whisperer. With over 750 client engagements under his belt, Per has helped businesses double their growth rates and boost margins by as much as 40%. He joined me to break down one of the trickiest parts of consulting: pricing your services. Per believes pricing isn’t just numbers—it’s a message. And if your prices don’t reflect your value, your clients will notice. Here are a few highlights from our conversation: ➡️Stop Selling Hours Charging hourly invites comparisons and can even penalize you for being efficient. Per argues that value-based pricing shifts the focus from time to tangible results. ➡️Presentation Matters A strong proposal builds confidence. By the time you reveal your price, your client should already see the value. ➡️Anchor High Per’s "Best, Better, Good" framework sets expectations by showing your top-tier offer first. ➡️Test Your Pricing with Two Key Questions Ask 25 potential clients: > What price feels too low to trust? > What price feels too high to afford? The goal isn’t just to charge more—it’s to build trust and position yourself as a premium choice. Curious to dive deeper into these strategies? Listen to the full episode here: https://lnkd.in/gsH7aHnp There’s already too much noise about chasing clients with low fees. The real win? Owning your worth and showing clients why you’re worth it.

Per-seat is no longer the atomic unit of software. Consider customer support software Zendesk: companies currently pay per support agent ($115/month/seat), but when AI can handle ticket resolution, the natural pricing metric becomes successful outcomes. If AI can handle a sizable proportion of customer support, companies will need far fewer human support agents, and therefore fewer Zendesk software seats. This forces software companies to fundamentally rethink their pricing models to align with the outcome they deliver rather than the number of humans that access their software. If you are increasing the productivity of labor or usurping it, how should you price this? If every action your customer takes incurs a corresponding cost through an API call, how should you factor that in? How will buyers react to pricing models they’ve not seen before? There’s a lot to consider. However, AI-native companies are leaning into this shift. For instance, Decagon, an AI customer support platform whose AI agents autonomously resolve customer service tickets, offers per-conversation (usage-based) and per-resolution (outcome-based) pricing models to their customers. Both models scale with the amount of work completed (i.e. value delivered) vs. labor (software seats). Read more on Emerging AI Pricing Models in the a16z Enterprise Newsletter with Ivan Makarov and Equals 👇

Back when the AI boom first kicked off, most startups defaulted to usage-based pricing: charging per token, message, or API call. Simple, familiar (like AWS), easy to ship. But as inference costs plummet this approach is becoming a dangerous race to the bottom. The reality is customers care about outcomes and business value. How you charge is becoming as important as what you build. We’re seeing 4 distinct pricing models as companies move away from pure consumption-based approaches: 1 - Activity-based pricing (pay per use): The default approach we've all seen, charging by tokens or compute usage. It mirrors cloud services but ultimately treats AI as a commodity. 2 - Workflow-based pricing (pay per workflow): Instead of raw usage, you price the completion of structured tasks. An AI drafting and sending an email might cost $0.10 regardless of tokens used. 3 - Outcome-based pricing (pay per result): Customers pay only when a desired outcome is delivered. Companies like Intercom and Zendesk are pioneering this with per-resolution pricing. 4 - Per-agent pricing (pay per "AI employee"): Bill an AI agent like a SaaS seat or virtual hire with a flat monthly fee. This brilliantly taps into headcount budgets, much larger pool than IT budgets (see Joanne’s “Software-as-a-Service”). The further you move from consumption-based pricing toward value-based models, the stickier your product becomes. Pricing strategy IS product strategy. Build it in early, not as a bolt-on later.

Just because everyone else is charging $X doesn’t mean you should. When I first started freelancing, I thought the secret to landing clients was to offer lower, competitive rates. After all, isn’t that what the market demands? But here’s what I quickly learned: charging “market rates” often means undervaluing yourself. It's easy to fall into this trap. We see what others are charging, assume that’s the standard, and set our prices to stay competitive. The problem? You end up competing on price instead of value—and that’s a race to the bottom. Here’s the truth: clients who only care about price aren’t the ones who value your expertise. They see you as just another expense, not a strategic partner. That’s where value-based pricing changes the game. Instead of pricing your work based on what others charge or how many hours it takes, you price based on the results you deliver. For example: • If your work helps a client increase revenue by $50,000, is $5,000 really too much to charge? • If your strategy saves them dozens of hours a month, what’s that worth to their business? When you shift your mindset from “What do others charge?” to “What is my work worth to the client?” everything changes. • You attract better clients. • You stop burnout from overdelivering for low rates. • And most importantly, you start to see your work for what it truly is: an investment in your client’s success. So, I’ll ask you: What’s one thing holding you back from charging what you’re worth?

A few weeks ago, I sold two hours of my time for $1,000. The client said they would've paid $2,500. I was afraid to even charge what we did, but after holding the session, the value was clear. This is the essence of value-based pricing. If you're ever selling your time, you never really want it to be based on hours. Because then you are bound by simply how many hours you can put in (i.e. lawyers). To the degree possible, you want it to be tied to the value you create. This can take some guts, especially early on, but it's critical if you want the world to value your counsel properly. You've got to build the reputation, and then back it up. So let's go back to the example. Why did the client volunteer that he would've paid $2,500? Is my time really worth $1,250/hr? My time is not, necessarily, but my advice in this situation absolutely was. He leads a software company, has a full team of developers, customers to serve, product calls to make. $2,500 pales in comparison to the value of making ONE good decision based on our discussion. In this case, the topic was AI in product development. Two hours of conversation ramped him up on what would've taken weeks/months of research and completely changed the way they think about software development. All this to say - know what you're worth, and be confident in it! If whatever you're asking doesn't make you a tiny bit uncomfortable, you're probably undervaluing yourself.