Should We Raise Our Prices?
in B2B SaaS

The short answer

The question is never whether to lift prices across the book. It is which ACV cohorts carry room in net revenue retention, by how much the next renewal or expansion can move, and how much land-and-expand revenue the change will forgo. What makes this harder for B2B SaaS companies is structural: growth has fallen from 42% to 32% while 60% of revenue sits in the segment with the worst economics. Any credible answer therefore has to hold net revenue retention and CAC payback in the same view, which is exactly where most internal analysis stops because the two live in different systems.

ACV changes reach the next renewal or expansion invoice without new logos or hires. Founders at $45M ARR with 280 engineers still avoid them because the effect on net revenue retention and CAC payback appears only after the fact, so underpriced segments persist while growth slips from 42% to 32%.

The needed analysis splits the base by ACV segment and by gross margin contribution rather than producing a single target price. It shows which accounts renew and expand well above current ACV, which sit at their ceiling already, and which renewals are shaped by ad-hoc discounts instead of published tiers.

Any effective ACV adjustment is sized to lose some accounts. When net revenue retention stays flat after the change, the increase left money on the table in the segments that could have absorbed more.

How to tell this is actually your problem

These three together are the signature. One on its own usually points somewhere else.

✓ Nearly every renewal and expansion closes at the quoted ACV with little pushback on price.
✓ Discounts appear on most large ACV deals and the size of the discount varies by rep rather than by segment rules.
✓ List prices and renewal uplifts have stayed unchanged while the 60% of revenue in the weakest segment continues to drag net revenue retention.

The move that usually makes it worse. Applying the same percentage uplift to every renewal and expansion, which compresses the price-sensitive segment further while still leaving headroom in the accounts that expand on value rather than price.

Who this is for — and who it is not

It is for you if you run or finance a B2B SaaS company and almost every deal closes, and closes quickly. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.

It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.

What this looks like when the analysis is actually run

Below is an excerpt from a real run of this analysis on a B2B SaaS company. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.

The subject is TechNova Solutions, a sample company profile used for testing rather than a customer — $45M ARR, 280 engineers.

This is one move out of a full analysis. Read a complete report — every page, no email required.

What the engine does with this question

This question routes to Pricing & Revenue Optimization, one of 29 engagements the platform runs. For B2B SaaS companies it works through net revenue retention, CAC payback, ACV by segment and gross margin, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.

You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.

Questions people ask about this

How much can I raise prices without losing customers?

There is no general answer, and the useful analysis is per segment. What can be said is that the loss you fear is usually concentrated in a group whose economics you would improve by losing them.

Should I raise prices for existing customers or only new ones?

New first is safer and slower; existing is where the money is. A defensible sequence is to move new-customer pricing, watch win rate for a quarter, then bring existing customers up at renewal with notice.

What if my competitors are cheaper?

Then you are selling against them on something other than price, or you are not — and that is the real question. Competing on price without the cost structure to support it is the most reliable way to lose money at increasing volume.

Is this different in b2b saas than in other industries?

Materially, yes. Growth has fallen from 42% to 32% while 60% of revenue sits in the segment with the worst economics — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are net revenue retention, CAC payback, ACV by segment, and an answer built on industry-general benchmarks will usually point at the wrong one first.

What data do I need before this analysis is worth running for a B2B SaaS company?

Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on net revenue retention and CAC payback. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.

When is Percision the wrong tool?

Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Does Percision replace a lawyer, tax advisor, auditor, or AI implementation team?

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.