How to Price Your Product: A Pricing Model Decision Tree

Not too long ago, we printed an version known as How you can Value Your AI Product, co-written with DealOps, that went via vital issues for pricing. The demand that we bought for extra pricing info was overwhelmingly constructive.

We wrote this version to reply that decision and construct out a real pricing mannequin choice tree, together with a full information for figuring out what pricing is sensible for you.

Why? Pricing just isn’t a math downside.

Pricing is a go-to-market choice that shapes how briskly you promote, who buys first, how accounts broaden over time, and the way sturdy your income turns into over the lengthy haul. And but, regardless of how a lot weight this choice carries, most founders nonetheless begin with the unsuitable query: “What ought to we cost?”

That query places the cart earlier than the horse. It jumps straight to a quantity earlier than you’ve found out the construction. The higher query, the one that really units you as much as win, is: “How ought to prospects pay us, and why?”

The “how” is your pricing mannequin – seats, utilization, outcomes, platform tiers, or some hybrid of the above. The “why” is the alignment between that mannequin and the way your buyer truly experiences worth. Get the mannequin proper, and the worth level dialog turns into dramatically simpler. Get it unsuitable, and also you’ll spend months preventing friction that no low cost or packaging trick can repair.

On this version, you’ll learn to use a pricing mannequin choice tree, what we name the “Waterfall” to search out the mannequin that matches your product, purchaser, and market earlier than you ever debate worth factors. We’ll cowl how your market kind and product class form each pricing choice, stroll via a step-by-step if-this-then-that logic movement to land on the fitting mannequin, take a look at how actual corporations selected theirs, and flag the widespread errors and exceptions that journey founders up.

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The Basis: Market & Product Kind

Earlier than you take a look at numbers, tiers, or packaging, you want readability on two issues:

1. Who’s shopping for

2. What they’re shopping for

Every little thing else – your pricing tiers, your record worth, your discounting technique and your enlargement playbook flows from these two inputs. Pricing buildings range broadly relying on buyer kind, product class, and value-delivery mannequin. There isn’t any common “proper” mannequin. There’s solely the mannequin that matches your particular mixture of purchaser and product.

Who’s the customer?

That is about understanding the shopping for movement, not simply the customer’s title. Ask your self:

• Is the customer a person person discovering your software on their very own, or is it a management group making a strategic platform choice?
• Is buying occurring bottom-up (an IC finds the product, loves it, and champions it internally) or top-down (an exec evaluates distributors and rolls the answer out throughout groups)?
• Does utilization unfold organically via the group as soon as one particular person adopts it, or does it require a proper rollout with coaching, change administration, and govt sponsorship?

The solutions to those questions have direct, materials implications for which pricing mannequin will work. Backside-up adoption favors usage-based or seat-based fashions. These are intuitive, self-serve-friendly, and let the product’s worth converse for itself on the particular person stage. The person doesn’t want CFO approval to start out, and the enlargement occurs naturally as extra teammates undertake. Consider how Slack or Notion unfold inside organizations: one group begins utilizing it, then two, then ten, and ultimately procurement will get concerned to barter an enterprise deal. The pricing mannequin (per-seat) supported that natural development movement completely.

Prime-down gross sales opens the door to outcome-based, platform, or value-based pricing. Once you’re promoting to a VP, a CRO, or a CFO, these consumers care much less about what the per-unit value is and extra about what the strategic influence will likely be: income influenced, prices eradicated, threat mitigated, time saved at scale. Your pricing wants to talk that language. A $2/dialog worth level means nothing to a CFO, however “you’ll save $1.2M in annual help prices” lands instantly.

One necessary nuance price flagging: if procurement or finance will get concerned early within the shopping for course of, your pricing should really feel legible and defensible, not intelligent. A inventive pricing construction that your inner champion loves however a procurement group can’t categorize or benchmark will stall in approvals. Procurement groups are educated to match apples to apples. In case your pricing mannequin doesn’t match neatly into their analysis framework, it creates friction that slows all the pieces down, no matter how excited the tip person is about your product.

What’s the product?

That is the place most founders get tripped up. Your pricing mannequin ought to mirror how worth is created for the client, not how the product is constructed on the again finish. These are two very various things. Quite a lot of founders default to pricing primarily based on their inner structure: API calls, compute cycles, tokens processed, and fashions run as a result of these are the metrics they reside with daily. However the buyer doesn’t care about your infrastructure prices. They care about outcomes.

To get this proper, ask your self three questions:

• Is worth realized per person, per motion, or per consequence? A venture administration software delivers worth per person (every particular person will get organized). An e-mail verification API delivers worth per motion (every name cleans a contact). An AI gross sales agent delivers worth per consequence (conferences booked, offers influenced). Every of those maps to a basically completely different pricing mannequin.
• Does utilization correlate tightly with buyer worth or under no circumstances? That is the vital fork within the street. If a buyer utilizing your product ten occasions extra is getting ten occasions extra worth, usage-based pricing makes intuitive sense. But when heavy utilization doesn’t map to proportionally extra worth consider a safety product the place worth is measured in breaches prevented, not scans run, then usage-based pricing creates misalignment and resentment.
• Can prospects predict their utilization simply? That is the query most founders skip, and it’s the one which kills offers in observe. In case your buyer can’t take a look at their group and say, “okay, we’ll in all probability use about X per 30 days, so our invoice will likely be roughly Y,” you then’re going to hit inner resistance from finance groups that want price range predictability to approve the acquisition.

When utilization doesn’t map cleanly to perceived worth, pricing friction will increase and enlargement slows. The hole between what the client pays and what they really feel they’re getting turns into a relentless supply of rigidity that toxins the connection over time.

If prospects can’t predict their utilization with cheap confidence, they’ll resist usage-based pricing, no matter how well-aligned it’s in principle. The idea doesn’t matter if the customer can’t get price range approval.

The Pricing Mannequin Determination Tree (The “Waterfall”)

Now that you’ve readability in your purchaser and your product, let’s transfer into the choice logic. Consider this as a progressive filter, not a guidelines. Every step both routes you to a pricing mannequin or sends you to the subsequent filter. You’re not selecting from a menu, you’re narrowing via a sequence of questions till the fitting mannequin (or mixture of fashions) turns into clear.

Step 1: Does the worth scale with the variety of customers?

Sure → Seat-Primarily based Pricing

This works when:

• Every person derives clear, unbiased worth from the product, that means in the event you eliminated one person’s entry, they’d personally really feel the loss.
• Collaboration scales linearly with customers, extra folks on the platform means extra worth for everybody, not simply extra licenses sitting idle.
• The product turns into extra worthwhile as extra folks be part of, there’s a community impact or a collaboration dynamic that makes the fiftieth person extra worthwhile than the fifth.

Seat-based pricing is easy, acquainted, and simple to promote, which is strictly why it dominates the SaaS panorama. Patrons perceive it immediately, finance groups can mannequin it, and gross sales groups can forecast it. Firms like Salesforce, Notion, and Slack have constructed huge companies on per-seat fashions as a result of the unit economics are clear and the enlargement movement is easy: extra customers equals extra income.

However be careful: Seat-based pricing caps enlargement if solely a subset of customers truly get actual worth from the product, or if prospects actively attempt to restrict the variety of licenses to regulate prices. Right here’s a diagnostic sign that’s price watching carefully: if prospects begin asking, “Do all these customers actually need entry?” you possible have a pricing mismatch. The worth isn’t distributed evenly throughout seats, and your pricing mannequin is forcing prospects to pay for entry that doesn’t translate into outcomes.

The AI period introduces an much more notable model of this downside. If one AI agent can do the work of ten human operators, per-seat pricing creates a perverse incentive: prospects cut back seats as they undertake AI, shrinking the seller’s income at precisely the second the product is delivering extra worth, not much less. That is why hybrid fashions are more and more changing pure seat-based approaches, particularly in classes the place AI augmentation is accelerating. In case your worth does scale with customers, seats might nonetheless work, however hold an in depth eye on whether or not AI modifications that equation on your particular product over time. This isn’t at all times the way in which that consumers wish to purchase.

Step 2: Does worth scale with utilization or quantity?

Sure → Utilization-Primarily based Pricing

This works when:

• Utilization scales instantly with worth, each further unit of consumption interprets to a proportional improve within the profit the client receives
• Prospects naturally wish to use extra over time, the product creates its personal pull, and utilization grows because the buyer turns into extra embedded
• The metric is intuitive and simple to clarify: API calls, messages despatched, information processed, and compute credit consumed. If it’s important to clarify the metric in a footnote, it’s in all probability not the fitting one

This mannequin is most typical in infrastructure, information platforms, and AI/compute-heavy merchandise the place the price of delivering the product scales with utilization and the worth obtained scales in lockstep. Twilio (pay per message, per API name) and Snowflake (pay per compute credit score, billed per second) are the canonical examples. In each instances, the extra a buyer makes use of, the extra worth they’re getting, and the extra they’re keen to pay.

The attraction for founders is clear: usage-based pricing aligns value with worth, lowers the barrier to entry (prospects can begin small and scale up), and creates a pure enlargement loop as adoption grows inside an account. Kyle Poyar’s analysis reveals corporations with usage-based parts develop roughly 8 share factors sooner in annual income than subscription-only friends.

The vital check: Can a buyer forecast their invoice with cheap confidence?

After they can’t, usage-based pricing creates price range nervousness and inner resistance that no quantity of worth alignment can overcome. Almost 78% of IT leaders reported experiencing sudden expenses tied to consumption-based or AI pricing prior to now 12 months. Take into consideration what which means: almost 4 out of 5 expertise consumers bought a invoice they didn’t count on. That’s not a rounding error, it’s a systemic belief downside.

Unpredictability is the first failure mode of usage-based pricing. The repair isn’t to keep away from usage-based fashions fully, it’s to take a position closely in transparency. Dashboards that present real-time spend, alerts earlier than prospects hit thresholds, and forecasting instruments that assist them mannequin future utilization, these aren’t nice-to-haves, they’re load-bearing infrastructure for the pricing mannequin to work.

Step 3: Is the worth tied to a enterprise end result?

Sure → End result- or Worth- Primarily based Pricing

This works when:

• You instantly affect income, value financial savings, or threat discount, and you’ll show it with information, not simply claims
• You promote to senior decision-makers who assume in enterprise outcomes ({dollars} saved, income generated) quite than options or performance
• Your product is deeply embedded in workflows the place the causal hyperlink between product utilization and enterprise result’s clear and measurable

Essentially the most putting latest instance is Intercom, which launched its Fin AI agent at $0.99 per profitable decision, charged solely when the AI absolutely resolves a buyer dialog with none human intervention. The end result was so clearly outlined (a resolved ticket) and really easy to measure (did a human must step in or not?) that the mannequin labored fantastically. Fin grew from $1M to over $100M ARR, resolving over 1 million buyer points per week. Each time the engineering group improved Fin’s decision fee, income went up, turning R&D right into a direct income driver. You may take a look at the complete GTMnow interview with Intercom’s President, Archana Agrawal right here.

This mannequin is highly effective however harmful early.

Why? As a result of outcome-based pricing requires three issues that almost all early-stage corporations don’t have but: proof (information exhibiting your product truly drives the end result), belief (the client believes your measurement methodology is honest and correct), and leverage (sufficient demonstrated outcomes that the client accepts the pricing construction quite than pushing again on it). With out all three, prospects will see outcome-based pricing as you claiming upside with out sharing the draw back threat, they usually’ll push again exhausting or just stroll away.

Gross sales cycles additionally are inclined to run 20–30% longer as a result of attribution debates sluggish procurement. For many early-stage founders, the sensible transfer is to make use of outcome-based pricing as a wedge in particular high-conviction offers, show the worth with a handful of shoppers, construct the measurement infrastructure, and regularly shift extra of your income base towards outcomes as belief and information accumulate.

Step 4: Is the product a system of document or platform?

Sure → Platform / Tiered Pricing

This works when:

• Your product turns into infrastructure that the client’s group will depend on, it’s not a software somebody makes use of often, it’s the system that complete workflows are constructed round
• A number of groups throughout the group depend upon it, creating cross-functional stickiness that goes past any single person or division
• Switching prices improve over time as extra information, workflows, and integrations get layered on prime, making the product more durable to tear out with every passing quarter

This mannequin is commonly paired with a base platform price that offers entry to the core product, add-ons for superior capabilities that unlock because the buyer’s wants develop, and comfortable utilization limits that create pure upsell triggers with out punitive overage expenses. HubSpot is the canonical instance: a free CRM because the PLG wedge, tiered Hubs (Starter, Skilled, and Enterprise) that broaden with the client’s sophistication, and per-seat pricing layered on prime. The mannequin helps predictable income for the seller, clear enlargement paths for the gross sales group, and enterprise-grade packaging for bigger prospects who want it.

The important thing benefit of tiered pricing is that it provides your gross sales group clear improve conversations, “You’re on the Development plan, right here’s what Enterprise unlocks,” and offers prospects a self-directed path to increasing their funding as their wants evolve. It additionally makes the worth ladder seen: prospects can see what they’re paying for right this moment and what they’d get in the event that they moved up, which creates aspirational pull quite than shock prices.

Actual-World Mannequin Hybrids (What Really Works)

Right here’s the reality that the choice tree above essentially simplifies: most profitable corporations don’t use one mannequin. They use pricing layers. The choice tree helps you establish your main mannequin, the dominant means prospects take into consideration paying you, however the precise pricing structure nearly at all times includes some mixture of approaches working collectively.

The most typical hybrid patterns in observe:

• Platform price + utilization: Snowflake expenses per compute credit score (utilization) on prime of a knowledge storage price. The shopper pays for what they devour, however the storage element creates baseline predictability.
• Seats + characteristic tiers: Notion and Slack cost per person however gate performance behind tiers. The entry level is accessible, and enlargement occurs via each including customers and upgrading plans.
• Base subscription + end result bonus: Intercom expenses a seat-based platform price for human brokers, then layers on $0.99 per profitable AI decision for Fin. The bottom offers income predictability, the end result element captures AI upside.

Trade pricing analyses from Metronome and SaaStock verify that hybrid fashions, combining subscription, utilization, and tiered parts, have turn into the norm quite than the exception. The period of “decide one mannequin and keep it up” is over.

The aim is alignment between worth, development, and enlargement. In case your hybrid mannequin makes the client’s shopping for choice clearer and your enlargement movement smoother, the added complexity is price it. If it simply makes your pricing web page more durable to know, simplify ruthlessly.

How iconic corporations truly worth:

The market is shifting quick. The businesses successful are those iterating on pricing as aggressively as they iterate on product. In case your pricing hasn’t modified in over a 12 months, you’re in all probability leaving cash on the desk, or worse, creating friction you don’t even learn about.

Errors to Keep away from: The Pricing Waterfall Pitfalls

The choice tree provides you a framework for selecting the best mannequin. However frameworks solely work when execution is clear. Listed here are the commonest errors founders make when making use of the waterfall and easy methods to keep away from them.

1. Pricing on your ICP, however promoting to everybody

A pricing mannequin constructed for enterprise will kill SMB conversion. A self-serve pricing web page will stall enterprise gross sales. This is among the most typical disconnects in early-stage SaaS: the founder designs pricing for one section, however the GTM movement is definitely serving a very completely different purchaser profile.

The result’s a pricing web page that confuses everybody and converts nobody. Your SMB prospects see enterprise pricing and bounce instantly. Your enterprise prospects see self-serve pricing and assume the product isn’t critical sufficient for his or her wants. In case your ICP isn’t clear, your pricing will really feel confused, as a result of it’s. Earlier than you finalize any pricing mannequin, pressure-test it in opposition to your precise pipeline: are the offers you’re closing in step with the customer profile your pricing was designed for? If there’s a mismatch, both your ICP definition or your pricing structure wants to alter.

2. Selecting usage-based pricing too early

Founders love usage-based pricing as a result of it feels honest and aligned with worth. They usually’re not unsuitable, in principle. The tough half is that consumers reside in quarterly price range cycles and inner approval processes. And early-stage prospects particularly need three particular issues earlier than they commit:

• Predictability: They should know what they’re committing to earlier than they’ll get price range approval
• Funds readability: They should clarify the fee to their boss in a means that doesn’t require a spreadsheet mannequin
• Inside buy-in: They want different stakeholders (finance, procurement, their supervisor) to really feel snug with the fee construction

Utilization pricing with out belief feels dangerous to all three. The client can’t assure what the invoice will likely be, which suggests they’ll’t get a agency price range dedication, which suggests the deal stalls in approvals. A technique is to start out with an easier mannequin, flat price or seat-based, that offers prospects confidence and predictability, after which layer in usage-based parts when you’ve earned the fitting via confirmed worth and established belief with the client’s finance group.

3. Over-optimizing for enlargement earlier than preliminary adoption

If prospects battle to get began together with your product, enlargement gained’t matter, as a result of there gained’t be something to broaden. This error is the pricing equal of optimizing your upsell playbook earlier than you’ve found out onboarding. Your pricing ought to reduce friction to start out (make it simple and low-risk to say sure), delay complexity till after the client has skilled core worth (don’t overwhelm them with tiers and add-ons on day one), and earn the fitting to broaden via demonstrated influence.

Too many founders construct elaborate tiered buildings with enlargement triggers baked in earlier than they’ve solved the essential downside of getting a buyer reside and seeing ends in the primary 30 days. The primary pricing milestone is adoption, getting prospects to make use of the product and expertise worth. Every little thing else is secondary till that’s working.

4. Letting pricing drift with out intent

Pricing fashions evolve over time, that’s pure and wholesome. However unmanaged drift creates chaos. What occurs in observe is that gross sales groups begin providing ad-hoc reductions, customized packaging will get created for one-off offers, and earlier than you realize it, you may have fifteen completely different pricing variations throughout your buyer base with no coherent logic connecting them.

Each pricing change you make, whether or not it’s a brand new tier, a revised metric, or a reduction coverage, ought to reply three questions:

• Who is that this for? Which buyer section does this transformation serve?
• What habits does this encourage? Will this drive adoption, enlargement, or retention?
• What habits does this discourage? Are you inadvertently punishing your greatest prospects or creating gaming incentives?

Unintentional pricing drift is among the most typical failure modes in SaaS corporations. The highest performers evaluation and regulate pricing each one to 3 months. The worst performers haven’t touched theirs in over 18 months. In case you can’t reply the three questions above for a proposed change, don’t ship it.

5. Underpricing and anchoring low

This deserves particular consideration as a result of it’s the one most typical pricing mistake on the early stage, and it’s the one which’s hardest to recuperate from.

The logic behind underpricing is comprehensible: you need prospects, you’re not absolutely assured within the worth proposition but, and you work a low worth will cut back friction and aid you shut offers sooner. And typically it does, within the quick time period. However the long-term value is gigantic. As soon as prospects are anchored on a low worth, elevating it later turns into one of many hardest strikes in SaaS. The shopper isn’t fascinated by your value construction or your margin wants, they’re fascinated by the quantity they’re already paying and whether or not the brand new quantity feels honest relative to that baseline.

If prospects are shopping for too rapidly with none worth pushback, you’re nearly actually priced too low. Some friction within the shopping for course of is definitely a wholesome sign, it means the client is taking the acquisition critically and evaluating the worth.

Set your record worth greater than you’d initially count on. You may at all times low cost early offers strategically, in alternate for case research, emblem rights, or reference calls, however you may by no means un-anchor a low public worth that the market has already internalized. Plus, you may solely increase costs whenever you add new worth.

Remaining Thought

There isn’t any “greatest” pricing mannequin.

There’s solely the mannequin that greatest displays:

• How prospects expertise worth, not the way you construct it, not how you concentrate on it internally, however how the client on the opposite aspect of the desk truly feels the profit.
• How does your product develop inside an account? Does it broaden via extra customers, extra utilization, higher outcomes, or broader platform adoption?
• How does your GTM movement truly works, is your gross sales group geared up to promote this mannequin? Does it match how offers truly shut in your pipeline?

Get that proper, and pricing turns into a development lever. Get it unsuitable, and no quantity of gross sales expertise, advertising spend, or product brilliance will prevent.

The founders who win would be the ones who deal with pricing as a steady product – examined, iterated, and optimized with the identical rigor they apply to their core providing.

Hopefully this waterfall provides you a place to begin. The market will let you know the place to go from there.

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This article was written and edited by Sophie Buonassisi, Tetiana Paratsii and the GTMfund group (not AI!).