Pricing Strategy Advisor — Set the Right Price in Seconds

Tell us about your product, costs and competitors and get a recommended price, tiers and a 14-day test plan.

Try a quick scenario
$

What to do next

  • Run a 2-week price test on a small segment before raising prices across the whole base.
  • Use the Break-Even Strategy Generator to confirm the new price still covers fixed costs at lower expected volume.
  • Map every plan to a clear value metric (seats, projects, GB, transactions) — flat pricing leaves money on the table.
  • Anchor with a high-tier 'enterprise' plan even if no one buys it — it makes the middle plan feel like a deal.
  • Re-run the advisor every 6 months or after any major product change.

Related business tools

Examples

SaaS, $12 cost-to-serve, B2B

Three-tier value-based pricing at $29 / $79 / $199 with seats as the value metric. Expected gross margin lifts from 58% to 74% by capturing higher willingness-to-pay in the mid plan.

Consulting, hourly to packaged

Switch from $120/hour to $4,500 / $9,000 / $18,000 fixed-scope packages. Same delivery hours, ~2x effective rate because pricing is anchored to outcomes, not time.

E-commerce, freemium hardware

Lead product at break-even ($49) with a $19/mo subscription for refills. Lifetime value goes from $49 to $280 per customer over 18 months.

What it does

An AI pricing advisor that turns your product, cost and competitor data into a concrete recommended price, tiered packaging and a quick way to test it.

When to use it

Use it before launching, when revenue stalls, before raising prices, or when entering a new market.

Benefits

  • Concrete price, not theory
  • Tiered packaging suggestions
  • Risks and how to test before committing
  • Adapts to subscription, one-time or usage-based

Cost-plus vs. value-based pricing

Cost-plus pricing — take your unit cost and add a markup — is the safest and worst pricing strategy. It guarantees you cover costs but caps your upside at whatever margin feels 'reasonable' (usually 30–50%). Worse, it sends a signal to customers that your price reflects your effort, not their outcome — which invites haggling.

Value-based pricing flips the question: how much is the outcome worth to the customer, and what slice of that value can you capture? A bookkeeping tool that saves a freelancer 10 hours a month is worth $500/month at $50/hour, not $19/month because that's '3x the AWS bill'. Charge based on the value you create, then verify the price covers your costs with healthy margin — never the other way around.

Why three tiers almost always wins

Single-price offers force every prospect into a binary yes/no decision. Two-tier pricing makes the cheaper option feel like the safe choice. Three tiers — typically labeled Starter, Pro, Enterprise — change the question from 'should I buy?' to 'which one should I buy?'. The middle tier becomes the default because it's anchored by a cheap option below and an expensive option above.

Make the middle tier roughly 2.5–3x the entry tier and design it to be the obvious 'best value'. The top tier exists mainly to make the middle look reasonable — it doesn't need many buyers, it just needs to exist. Include features in the top tier that signal seriousness (SSO, dedicated support, SLA) so it appeals to enterprise buyers who self-select.

Pick a value metric, not a flat price

Flat pricing ('$99/month, unlimited everything') is simple but it punishes early customers and rewards heavy users. A value metric — seats, projects, GB, API calls, transactions — ties what the customer pays to what they get. As they grow, you grow with them, without renegotiation.

Good value metrics share three traits: customers understand them intuitively, they correlate with the value the customer receives, and they grow as the customer succeeds. Slack uses active users. Stripe uses transaction volume. Notion uses members. Avoid metrics that punish success (raw API calls), are hard to predict (compute hours), or feel arbitrary to the customer (database rows).

How to test a price change without burning trust

Never raise prices for existing customers without warning — that destroys retention faster than any growth lever can rebuild. Instead, raise prices for new signups only, grandfather existing customers for 6–12 months, and announce the timeline in advance. This protects loyalty and gives you clean data on whether the new price affects conversion.

Run a 2–4 week test on a single acquisition channel (one ad campaign, one landing page) at the higher price before rolling it out everywhere. Track conversion rate, average revenue per signup, and trial-to-paid. If revenue per visitor goes up, the higher price wins even if conversion drops slightly. Use the Profit Improvement Advisor to model the full impact before you commit.

Frequently asked questions

Will it pick a single price?
Yes — it gives a recommended price (or tight range) plus a tier table you can ship.
Does it work for services?
Yes. Provide your delivery cost and competitor rates and it'll recommend a packaged price.
Is it tied to my market?
Use the 'Anything else?' field to specify country / segment so the recommendation adapts.

Browse all Business Tools