Tell us what you sell and to whom. This context drives every pricing decision that follows.
Company/product name
What do you primarily sell?
Physical goods
Digital goods
Software (SaaS/PaaS/IaaS)
Services (consulting, coaching, agency)
Marketplace/platform
Hybrid
In one sentence, what problem do you solve for customers?
List your top three customer segments (e.g., SMB retailers, prosumers, enterprise HR teams)
Are you already generating revenue?
Do you currently charge money for your core offer?
Which pricing model do you mainly use today?
One-time purchase
Subscription (flat)
Subscription (tiered)
Usage/pay-as-you-go
Freemium
One-time + upsells
No model yet
Other
Understanding how customers compare you to alternatives sets rational price anchors.
List your three closest competitors or substitutes customers mention
What is the LOWEST market price for a comparable offer?
What is the HIGHEST market price for a premium comparable offer?
Do customers negotiate or ask for discounts?
Price is captured value. Quantify the value you create to justify your price.
What measurable outcome or ROI do customers achieve? (e.g., saves 10 hrs/week, +15% sales)
Estimated monetary value of that outcome per customer per year
How critical is your offer to the customer's core goal? (1 = nice-to-have, 5 = mission-critical)
Have you run customer interviews or surveys on pricing?
Design the structure customers see when they hit "Pricing" on your site.
How many tiers or packages will you offer?
1 (single offer)
2 (binary choice)
3 (good-better-best)
4+
Usage-based with no tiers
Will you use decoy or anchor pricing?
Which value metrics will you use? (select all that apply)
Users/seats
Revenue share
Feature gates
Usage volume (API calls, GB, etc.)
Support level
Outcome/SLA
Other
Do you plan to offer add-ons or à-la-carte extras?
Revenue Stream Planner
Revenue stream | Type | List price | Confidence (1–5) | % of target ARR | ||
|---|---|---|---|---|---|---|
1 | Pro subscription | Recurring | $99.00 | 60 | ||
2 | Setup fee | One-time | $500.00 | 10 | ||
3 | Professional services | One-time | $2,500.00 | 30 | ||
4 | ||||||
5 |
Will you offer a free tier or free trial?
What restriction will the free tier/trial have? (e.g., watermark, 100 MAU, 14 days)
Will you offer discounts?
Maximum discount % you are willing to give
Preferred billing frequency for subscriptions
Monthly only
Monthly + annual
Annual only
Custom
Custom:
Will you support multiple currencies?
Payment methods you will accept
Cards only
Cards + wallets (Apple/Google)
Cards + wallets + local methods
All including crypto
Will you use dunning & retry logic for failed payments?
Pricing is never "set and forget." Plan your experiments.
Have you ever A/B tested pricing?
Planned Pricing Experiments
Experiment name | Hypothesis | Start date | End date | Success metric | ||
|---|---|---|---|---|---|---|
1 | Raise middle tier by 15% | Demand is inelastic | 7/1/2025 | 9/30/2025 | Conversion % | |
2 | ||||||
3 | ||||||
4 | ||||||
5 |
How important are the following KPIs for pricing success?
Not tracking | Nice to have | Important | Critical | |
|---|---|---|---|---|
Average revenue per user (ARPU) | ||||
Gross margin | ||||
Free-to-paid conversion | ||||
Logo churn | ||||
Expansion MRR | ||||
Net revenue retention | ||||
Payback period |
Anticipate what could go wrong and how you will react without diluting brand equity.
Could a price war start in your market?
Do you have a clear price-increase communication template?
What is your biggest pricing challenge right now?
How confident are you that your current/planned pricing maximizes revenue?
Not at all
Slightly
Moderately
Very
Extremely
Any additional comments or context?
Analysis for Pricing & Monetization Strategy Form
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
This Pricing & Monetization Strategy Form is a master-class in turning abstract pricing theory into an actionable, step-by-step worksheet. By forcing founders and product managers to articulate what they sell, to whom, and why it matters before they ever write a price on a page, the form prevents the common “price-first, value-later” mistake that kills early traction. The conditional logic—showing MRR only if revenue is positive, or discount-type checklists only if discounts are planned—keeps cognitive load low while still surfacing advanced tactics for teams that are ready. Finally, the mix of currencies, percentages, and narrative answers produces a data set that is both quantitatively rigorous and rich in qualitative context, ideal for investors, accelerators, or internal strategy decks.
From a UX standpoint, the form balances thoroughness with progressive disclosure: eleven thematic sections look intimidating at first glance, but each section averages only 3–4 inputs and begins with a concise paragraph explaining why the upcoming questions matter. This narrative framing dramatically reduces abandonment relative to traditional “dumb” forms. The optional competitive-price inputs and KPI matrix also respect privacy—companies can still receive useful benchmarking without revealing sensitive P&L data they are not ready to share.
This field is the anchor for every downstream record. By making it mandatory and single-line, the form ensures that exported CSVs, CRM integrations, and investor reports remain unambiguous—no “Acme Inc.” vs. “Acme, Inc.” duplication issues.
Because the answer is used as the primary key, the lack of character limit or validation pattern is a deliberate strength: it accommodates everything from a single-word codename to a long legal entity name without frustrating early-stage founders who have not yet incorporated.
The single-choice constraint forces a crisp business-model declaration. This is critical for pricing because how you charge (subscription vs. marketplace take-rate vs. one-time license) must align with what you deliver. The inclusion of “Hybrid” prevents false precision for complex offers.
The option order—physical first, hybrid last—mirrors the mental model of most founders and reduces reading friction. Future analytics can instantly filter SaaS answers from marketplace answers to produce industry-specific benchmarks.
Requiring a single sentence prevents feature-dump answers and distills the value proposition to its essence—exactly what pricing pages must communicate. The multiline box, however, gives just enough space for a concise story that can be recycled in investor pitch decks.
Because the field is mandatory, consultants or automated report generators can later match this statement against the quantified ROI field to check for value-message alignment; if the sentence claims “saves time” but the ROI field is blank, the user probably needs coaching.
Segment specificity (“SMB retailers, prosumers, enterprise HR teams”) unlocks tiered pricing logic later in the form. By forcing exactly three entries, the form prevents both over-segmentation and the lazy “everyone” answer.
The multiline format encourages short descriptors plus a parenthetical archetype, producing structured data that can be regex-parsed into personas forLTV cohort analysis without additional manual work.
This yes/no gate is the pivot point of the entire form. Pre-revenue teams see a launch-date picker; revenue-generating teams see MRR. This branching keeps the experience relevant and avoids demotivating founders who cannot yet fill financial cells.
Making the MRR follow-up mandatory for “Yes” users guarantees that later revenue-model tables have a baseline number to sanity-check against, reducing data inconsistency when reports are exported.
Surprisingly, many startups give core features away for free. Capturing this status flags teams that need monetization help rather than price optimization help, guiding consultant follow-up.
The “Why not?” single-choice branch surfaces regulatory or knowledge barriers early, enabling targeted content (e.g., EU VAT templates or pricing-workshop invites) to be sent automatically.
Price is a share of value created; without a measurable outcome, value-based pricing is impossible. Making this field mandatory forces founders to articulate an ROI metric that can later be used in split-test headlines (“Cut cloud spend by 27%” vs. “Save $24 k/year”).
The multiline format invites both quantitative (“+15% sales”) and qualitative (“pass SOC-2 in 30 days”) outcomes, giving marketers flexible proof points while still yielding structured data through regex extraction.
This numeric field translates the previous narrative into a hard ceiling for willingness to pay. By collecting USD explicitly, the form normalizes global responses for benchmarking.
Mandatory status ensures that pricing-advisor algorithms can later compute recommended price bands (typically 10-30% of value captured) without imputation, preserving data quality.
A five-point mission-critical scale predicts price elasticity better than NPS. Products scoring 4–5 can usually command premium pricing or annual prepay; scores of 1–2 suggest freemium or low-touch self-serve.
The mandatory rating supplies a key coefficient for future price-sensitivity models and investor diligence questionnaires, again without which downstream analytics would be incomplete.
Negotiation frequency is a direct input to pricing-architecture decisions: high discount-request rates often justify transparent good-better-best tiers or published annual discounts to avoid one-off concessions that erode ARPU.
Mandatory capture here flags businesses at risk of margin death by a thousand concessions, triggering automated playbook recommendations (e.g., implement annual-only discounting) before the founder leaves the page.
Psychological pricing research shows three-tier “Goldilocks” structures outperform binary choices in most B2B contexts. By forcing a single choice, the form nudges teams toward a proven pattern while still recording edge cases (4+, usage-based) for segmentation analysis.
The answer maps directly to wireframe mocks in the report output, saving product managers hours of stakeholder debate.
Discount-type multiplicity predicts complexity cost: supporting coupon codes plus enterprise specials can require billing-code changes and sales-enablement assets. Making the question mandatory surfaces this scope early, preventing engineering surprises.
Multiple-selection format captures combinatorial strategies (annual + volume) that single-choice would miss, yet keeps the UX compact by using a scrollable checklist.
Billing cadence drives cash-flow models and churn expectations. Mandatory single-choice ensures financial forecasts exported from the form have consistent assumptions, avoiding mixed monthly/annual confusion that can mislead investors.
The option list is ordered from simplest (monthly only) to most complex (custom), subtly guiding early-stage companies toward simpler cash-flow friendly models.
Each additional payment method increases technical scope and fraud risk. By making this choice mandatory, the form guarantees that implementation estimates include gateway tokenization, PCI scope, and FX hedging where relevant.
The gradual option ladder (cards → wallets → local → crypto) provides a quick visual maturity score: advisors can instantly see if a Seed-stage SaaS is prematurely optimizing for crypto.
Mandatory Question Analysis for Pricing & Monetization Strategy Form
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
Company/product name
Justification: This identifier is the primary key for all downstream analytics, CRM integrations, and investor reports. Without it, rows cannot be uniquely referenced, making the entire data set unusable for benchmarking or follow-up consulting.
What do you primarily sell?
Justification: The business model (SaaS, marketplace, physical goods) determines which pricing levers are relevant—subscription vs. take-rate vs. COGS-based markup. Leaving this blank would render subsequent pricing recommendations meaningless.
In one sentence, what problem do you solve for customers?
Justification: A concise value proposition is prerequisite to value-based pricing; if the respondent cannot articulate the problem, no algorithm can estimate willingness to pay or suggest optimal price bands.
List your top three customer segments
Justification: Segmentation drives tier design and price discrimination. Without explicit segments, the form cannot recommend whether to use seat-based, usage-based, or feature-gated pricing, crippling strategic output quality.
Are you already generating revenue?
Justification: This branch point controls which financial follow-ups are shown and underpins cash-flow models. Mandatory status ensures the logic tree works correctly and prevents contradictory answers (e.g., MRR filled while “No” is selected).
Monthly recurring revenue (MRR) or average monthly sales
Justification: For revenue-generating companies, this number calibrates all forward-looking ARR projections and experiment sensitivity analyses. Omitting it would force imputation, degrading model accuracy and investor credibility.
Do you currently charge money for your core offer?
Justification: Knowing whether monetization exists distinguishes “pricing optimization” from “monetization design,” two entirely different consulting playbooks. Mandatory status routes users to the correct resource set.
What measurable outcome or ROI do customers achieve?
Justification: Value-based pricing requires a quantified customer outcome. If this field is blank, the form cannot compute recommended price ceilings (typically 10-30% of value captured), nullifying the strategy exercise.
Estimated monetary value of that outcome per customer per year (USD)
Justification: A hard dollar figure is necessary to anchor price against measurable ROI. Without it, willingness-to-pay models collapse, and users receive generic “benchmark” bands instead of company-specific guidance.
How critical is your offer to the customer's core goal?
Justification: This 1-5 scale directly predicts price elasticity and churn. Mandatory data feeds regression models that forecast optimal price uplifts; missing values would bias elasticity estimates toward inelastic extremes.
Do customers negotiate or ask for discounts?
Justification: High negotiation frequency signals need for transparent tiering or published discounts to prevent ad-hoc concessions. Mandatory capture flags at-risk businesses and triggers specific playbook recommendations.
How many tiers or packages will you offer?
Justification: Tier count determines complexity of billing logic, sales enablement, and UX design. Making this mandatory ensures that later wireframes and revenue-model tables align with a deliberate architectural choice rather than an assumption.
Will you offer discounts?
Justification: Discount policy influences both revenue recognition and engineering scope (coupon engines, annual prepay). Mandatory status guarantees that downstream financial models account for expected discount dilution.
Preferred billing frequency for subscriptions
Justification: Billing cadence controls cash-flow timing and churn assumptions. Without this mandatory field, forecast models cannot accurately predict monthly vs. annual cash positions, leading to potentially misleading investor decks.
Payment methods you will accept
Justification: Each payment method adds PCI scope, fraud risk, and engineering effort. Mandatory selection ensures that implementation estimates include gateway tokenization, FX, and compliance costs, preventing scope surprises.
The current form strikes an aggressive but defensible balance: 15 mandatory questions out of ~50 total. For a strategic asset like pricing, where incomplete data produces dangerously wrong advice, this ratio is appropriate. However, to maximize completion rates without sacrificing insight, consider making two fields conditionally mandatory: (1) MRR only if “Yes” to revenue, already implemented, and (2) competitor price ranges only if the user indicates they operate in a competitive market (via a new yes/no gate). Additionally, introduce an optional “I’ll finish later” save-and-resume link; pricing exercises often require exec or finance input that isn’t immediately available, and abandonment at question 8 is usually logistical, not motivational.
Finally, surface a dynamic progress bar that explicitly labels mandatory vs. optional counts. Users mentally budget effort when they see “5 required left” rather than an ambiguous long page. Pair this with copy that reminds them: “Only 10 min to a board-ready pricing strategy.” This small UX tweak has lifted completion rates by 18% in comparable B2B strategy tools, and it respects the depth the form rightfully demands for high-quality monetization planning.