Building your own benchmark data

Why build your own SaaS benchmark data?

You build your own SaaS benchmark data because the public benchmarks are noisy, frequently based on list prices rather than what buyers actually pay, and increasingly defeated by credit based pricing designed to prevent comparison. A headline figure that a category typically discounts by some percentage tells you little about your specific SKUs, your volume, and your term, and a vendor can wave away any external benchmark as not comparable to your situation. Your own contract history has none of those weaknesses, because it records exactly what you paid, for exactly what, on exactly which terms.

This matters more every year as pricing fragments. With the top 500 SaaS companies making 339 pricing and packaging changes in a single year, per published analyses, and about 60 percent of vendors masking increases through SKU migration, rebundling, and credit pricing, an external benchmark ages quickly and is easy to obscure. Your internal record, by contrast, captures the real outcome of each negotiation and compounds in value over time. The full benchmarking discipline sits in our SaaS Benchmarks Guide, and the gap between list and reality is examined in list price versus what buyers actually pay.

What data should an internal SaaS benchmark capture?

An internal benchmark should capture the unit price by SKU, the discount off list, the annual uplift, the term length, the key contract protections, and the usage against entitlement, for every renewal you complete. The unit price and discount tell you what you secured against the vendor's starting point. The uplift records how the price moved across terms, which is the single most useful number when the next increase arrives. The term and protections capture the structural quality of the deal, and the usage against entitlement shows whether you bought the right quantity, which is often where the real money sits.

Record the context alongside the numbers, because a data point without its circumstances can mislead. Note the date, the competitive situation, whether an alternative was in play, and any concession given in exchange for the price, so that each record can be weighted appropriately when you reference it later. A discount won during a credible competitive evaluation is a stronger benchmark than one given in a quiet renewal, and knowing the difference keeps your internal data honest. The disciplined approach to benchmarking before a renewal is set out in benchmarking before you renew.

How do you normalise benchmark data across vendors?

You normalise benchmark data by reducing every record to a comparable per unit measure and grouping by capability rather than by vendor, so that different products delivering the same function can be compared. A seat, a fulfiller, a worker, and a credit are different units, but each can be expressed as a cost per active user or per unit of value delivered, which makes the records comparable across an estate. Grouping by capability, for example all your project management tools or all your data platforms, then shows whether you are paying consistent rates for the same function or carrying outliers.

Normalisation also has to account for the masking tactics that vendors use to defeat comparison. Credit based pricing in particular is engineered to make per unit comparison hard, so your benchmark needs the mapping from credits back to real resources to be useful. Forced SKU migration, where the old price point is deleted, requires you to record the lineage of a SKU so you can compare across a rename or repackage. Capturing that lineage is what lets your benchmark survive the vendor changing the packaging. What good pricing looks like once normalised, by category, is set out in what good pricing looks like by category.

How do you use internal benchmark data in a negotiation?

You use internal benchmark data to set the target for the renewal and to challenge any uplift that exceeds what you have achieved before or what comparable SKUs cost elsewhere in your estate. Because the data is your own, a vendor cannot dismiss it as irrelevant to your situation the way they can wave off an external figure. A documented record that you previously secured a given discount, or held the uplift to a given percentage, becomes a concrete anchor that the vendor has to engage with rather than ignore.

The data is especially powerful against the AI repricing wave. AI driven renewal asks run 20 to 37 percent against a historical 3 to 9 percent annual uplift, per published analyses, and negotiation cuts those asks by roughly 55 percent. An internal benchmark showing the modest uplifts you have held in the past makes a sudden double digit AI driven ask stand out as the anomaly it is, and gives you the evidence to demand the ROI justification, the plan without AI, and the carve out of AI features from the automatic uplift. Used this way, your own data turns a vendor's framing back on itself, anchoring the conversation on your history rather than their ask.

A worked example

Indicative example. A company began recording every SaaS renewal in a simple internal benchmark: unit price by SKU, discount off list, annual uplift, term, protections, and usage against entitlement, normalised to a cost per active user. Over two years the record revealed that one vendor's renewals consistently carried a higher uplift than comparable tools, and that several products were licensed well above active usage. At the next renewal the buyer used its own history to set the target discount, challenged the outlier uplift against the documented pattern, and right sized the over licensed products. The internal benchmark, not any public figure, anchored the negotiation, and the renewal landed well below the opening ask. The figures here are indicative and shown to illustrate the mechanics.

How do you keep the benchmark current and useful?

You keep the benchmark current by updating it at every renewal and every true up, not just once a year, so the record reflects the live state of each agreement rather than a stale snapshot. SaaS pricing moves constantly, and a benchmark that is refreshed only annually will miss the mid term changes, the true ups that adjust counts, and the packaging changes that rename SKUs. Treat the benchmark as a living record that each negotiation feeds, so its value compounds as your contract history deepens.

Keeping it useful also means pruning and weighting. Old data points should be retained for the trend they reveal but weighted down when referenced, because a discount from several years ago reflects a different market. Records tied to a credible competitive evaluation should be flagged as stronger evidence than quiet renewals. Over time this disciplined maintenance turns a simple spreadsheet into the most authoritative pricing reference your organisation has, one tuned precisely to your estate. The broader benchmarking method that this internal data feeds is set out in our SaaS Benchmarks Guide.

What is the move on building your own benchmark data?

Start recording every renewal now, because the value compounds with each data point. Capture the unit price by SKU, the discount off list, the annual uplift, the term, the protections, and the usage against entitlement, then normalise to a per unit, per capability measure so records are comparable across vendors and years. Record the context and the SKU lineage so the data survives a vendor's repackaging, and use your own history to set the target and challenge any uplift that exceeds it. Your internal benchmark is the one reference a vendor cannot call irrelevant, and disciplined negotiation typically lands 10 to 30 percent savings at renewal. The wider method sits in our SaaS Benchmarks Guide. When you want to anchor a renewal on evidence, a strategy call is the place to start.

Frequently asked questions

Why build your own SaaS benchmark data?

Because public benchmarks are noisy, often based on list prices rather than what buyers actually pay, and credit based pricing is engineered to defeat them. Your own contract history captures the discounts, terms, and uplifts you have actually achieved, which is the most reliable reference point you have for the next renewal and the only one a vendor cannot dispute as irrelevant to your situation.

What data should an internal SaaS benchmark capture?

Capture the unit price by SKU, the discount off list, the annual uplift, the term length, the key contract protections, and the usage against entitlement for every renewal. Normalise across vendors by capability and by per unit measure so the records are comparable, and record the date and context so each data point can be weighted when you reference it later.

How do you use internal benchmark data in a negotiation?

Use it to set the target for the renewal and to challenge an uplift that exceeds what you have previously achieved or what comparable SKUs cost elsewhere in your estate. Your own history is hard for a vendor to dismiss, so a documented record of the discount and uplift you have secured before becomes the anchor for the next deal.

Published market figures reflect 2026 SaaS pricing analyses and are labelled indicative where appropriate.