What is price skimming?
Price skimming is launching at a high price to capture the buyers who value the product most, then lowering the price - or adding cheaper plans - over time to reach more of the market. In SaaS it usually shows up as a premium launch tier followed by lower tiers, rather than a straight price cut.
Key takeaways
- You capture high willingness to pay first, then work down the demand curve.
- In SaaS, "lowering the price" is usually adding a cheaper tier, not cutting the existing one.
- Watch trial-to-paid and ARPU together: high ARPU with collapsing conversion means you skimmed too hard.
- Common mistake: cutting the price for everyone and giving early customers no reason to feel they paid fairly.
When does price skimming work for SaaS?
It tends to work when
- The product is genuinely new or clearly better, so early adopters have no cheap alternative.
- There is a group of buyers with high urgency and budget - teams, agencies, funded startups.
- You need revenue per customer to fund support and onboarding while volume is small.
- Copying you is slow, so the premium window lasts long enough to matter.
It tends to fail when
- Close alternatives already exist at a lower price, so the premium has nothing to stand on.
- Your growth depends on volume - virality, marketplaces or freemium loops.
- Early customers see later buyers get the same thing for less and churn or ask for refunds.
- You cut the price without a reason buyers can see, which reads as weakness.
How price skimming works
Every market has a small group of buyers who want a new product badly and will pay a lot for it, and a much larger group who will only buy at a lower price. Price skimming sells to those groups in order. You launch high and sell to the eager buyers first. Once that group is mostly served, you bring the price down to reach the next group, and so on down the demand curve.
In physical products, skimming usually means cutting the price of the same item. SaaS has a better option: add a cheaper plan instead of cutting the existing one. The original plan keeps its price and its customers; the new plan has fewer features or lower limits, and opens the door to buyers who could not justify the launch price. Done this way, early customers never see the thing they bought get cheaper, which is the main source of resentment in a skimming strategy.
A skimming plan answers three questions:
- Who are the early buyers, and what is the problem worth to them? That sets the launch price.
- What signals that the early market is saturated? Usually a slowdown in new MRR while trial volume holds steady - people are looking but not buying.
- What does the cheaper offer leave out? It has to be different enough that existing customers stay on the higher plan.
A worked SaaS example: $99 launch, $39 tier later
Say you launch a reporting tool for agencies at $99/month, one plan only. You get 200 trials a month from a $6,000 marketing budget. Gross margin is 85%.
At $99, 12% of trials convert. After nine months, new MRR has flattened, so you add a $39 Starter plan with fewer client workspaces. Conversion rises to 20%, and buyers split between the two plans:
| $99 only | $99 + $39 Starter | |
|---|---|---|
| Trials per month | 200 | 200 |
| Trial-to-paid conversion | 12% | 20% |
| New paying customers | 24 | 40 (15 Pro, 25 Starter) |
| New MRR per month | $2,376 | $2,460 |
| ARPU of new customers | $99 | $61.50 |
| CAC (spend ÷ new customers) | $250 | $150 |
| CAC payback (CAC ÷ ARPU × gross margin) | 3.0 months | 2.9 months |
Look at what happened. New MRR barely moved - $2,376 to $2,460. ARPU fell by more than a third. Payback stayed about the same. What changed is that you now win 40 customers a month instead of 24, so the business grows faster from referrals, expansion and a bigger base to upsell later.
Notice the hidden cost too: Pro signups dropped from 24 to 15. Some buyers who would have paid $99 picked $39 instead. That is cannibalisation, and it is the number to watch. If the cheaper plan pulls too many buyers down, tighten what it includes.
How to tell if price skimming is working
- Trial-to-paid conversion. At launch it will be lower than average - that is expected. A sudden drop at a steady price is the sign the early market is used up.
- ARPU. It should start high and fall slowly as cheaper plans arrive. A sharp drop means the cheaper plan is too attractive.
- MRR by plan. Watch how new MRR splits across plans after each change. You want total new MRR to rise, not just shift between plans.
- Churn rate of early customers. If launch-price customers churn after a cheaper plan appears, they feel they overpaid.
- CAC payback period. High launch prices usually give short payback. Check it stays healthy as ARPU comes down.
Price skimming examples in SaaS
- Premium launch, tiers later. A new product opens with a single, fairly expensive plan aimed at teams with an urgent problem, and adds Starter or Solo plans a year later.
- Early-access pricing. A beta charges early adopters a high price for direct access to the founders and a say in the roadmap, then opens a lower public price at general availability.
- New-feature skimming. A big new capability - an AI assistant, an advanced reporting module - first ships only on the top plan, then moves down to middle plans as it matures.
- Enterprise first. A product starts with large customers on annual contracts and later adds self-serve plans for smaller teams.
Frequently asked questions
What is price skimming in simple terms?
It is starting with a high price for the buyers who want your product most, then lowering the price or adding cheaper plans to reach everyone else.
What is the difference between price skimming and penetration pricing?
Skimming starts high and moves down; penetration pricing starts low and moves up. Skimming fits new or clearly better products; penetration fits crowded markets where price is a reason to switch.
Is price skimming good for SaaS?
It works well when you have a genuinely new product and a group of buyers with an urgent need and budget. It is a poor fit when close, cheaper alternatives already exist or when your growth depends on large numbers of users.
How do you lower prices without upsetting early customers?
Add a cheaper plan with fewer features instead of cutting the price of the plan they are on. If you do cut a price, apply it to existing customers too, or give them something extra.
When should you lower the price in a skimming strategy?
When new MRR flattens while trial and signup volume hold steady. That pattern suggests the buyers willing to pay the launch price are mostly served.
What metrics should I track during price skimming?
Trial-to-paid conversion, ARPU, new MRR by plan, churn of early customers and CAC payback period.
Other pricing strategies
About the author
Written by
Serena PriftiFounder of Chartsy
Serena Prifti is the founder of Chartsy and writes about analytics, growth, and subscription metrics. She focuses on helping founders and operators turn raw data into clear insights that drive better decisions.
Serena PriftiSee whether your price change worked
Chartsy shows MRR, churn, ARPU and trial-to-paid from your Stripe or Paddle data (Polar, Lemon Squeezy, Creem and Freemius work too), so you can see whether a price change worked - comparing the customers who signed up before and after it, without building a spreadsheet.
