Pricing due diligence
for PE software.
LOIs flag pricing as a value-creation lever. We convert the thesis into a measurable operating plan with sprints your portfolio team runs at their pace, not strategy decks.
A pricing thesis without an operating plan is a footnote in an IC deck. Most PE software theses include pricing uplift as a value-creation lever, then hand off to portfolio operations with three sentences of support. The operating team reverse-engineers what the assumption meant. By year two, the thesis has drifted and nobody remembers how the number was set.
SPP brings a real diagnostic at diligence, names the architecture moves that drive the uplift, sequences the changes into sprints the portfolio team runs at their pace, and ships the architecture into LevelSetter for the portfolio team to operate continuously across the hold. Portfolio performance rolls up to a central control panel so sponsors see pricing health across every portco in one view. Pricing stops being a once-per-hold conversation and becomes continuous value creation.
by LevelSetter ingestion.
paced to your timeline.
across typical holds.
The IC deck assumes 22% pricing uplift. Nobody can show you the math. The CEO inherits the number on day one and has to defend it for five years.
An underwriting number is not a plan.
When pricing diligence becomes the work.
Pre-LOI
diligence window
You need a credible pricing-uplift number for the IC deck. The target’s pricing page looks conventional. You need to know in two weeks whether 15% uplift is conservative or fantasy.
Post-close,
day-one value creation
The deal closed. The 100-day plan includes pricing. The operating partner needs a diagnostic converted into an operating plan, this quarter, not next.
Pricing thesis
stalled mid-hold
Year 2 of the hold. Pricing-uplift thesis has missed. CEO is defensive. You need an objective diagnostic on why the original plan didn’t ship and a credible path to recover the thesis.
Exit prep with
an NRR story to tell
Ready to run the process. NRR needs a cleaner narrative for buyers. Pricing architecture needs to look like a compounding asset, not a one-time lift.
A thesis is not
an operating plan.
Every B2B software PE thesis includes pricing uplift. That assumption gets written into the underwriting model and hands off to the portfolio-operations team with three sentences of support. The operating team reverse-engineers what the assumption actually meant and builds an implementation plan from scratch. By year two, the thesis has drifted and nobody remembers how the number was set.
The fix is a real diagnostic at diligence, not a thesis footnote. Which architecture changes actually drive the uplift? Which 5-10% of customers anchor the margin story? Which packaging boundary is the structural lever? That diagnostic converts directly into an architecture and sprint plan the portfolio team executes at their pace, not a strategy deck that sits on the CEO’s shelf.
Diagnostic at diligence.
Asset at exit.
We convert pricing theses into operating plans with customer-level economics, then ship implementation through LevelSetter.
Diligence on
real economics
Closed-won deals, realized prices, discount patterns, churn triggers, expansion failures. LevelSetter ingests 100+ transaction-data formats, bundles, and complicated SKU structures already mapped across B2B software clients. The moment the portco uploads, the data is in the model and the team can explore truth-on-the-ground. We replace the “pricing uplift” number with a customer-level model that names which deals will expand, which will resist, and which were mispriced from the start.
Name the architecture
moves
Usually one value-metric change, one packaging boundary adjustment, and one discount-governance rebuild. We document the exact sequence, the customer segments affected, and the expected trajectory, with downside cases the operating team can defend in a board meeting.
Hand off architecture
for sprint-based rollout
Every architecture change gets sequenced against renewal cycles, CPQ constraints, and sales-team capacity. Sprints can run in parallel; the portfolio team paces rollout against operational reality. SPP guides; the portco team executes. The plan is something an operating partner hands to a CRO the day after close, with sprint execution led by the portco team.
Continuous operation
across the hold
The portfolio team operates LevelSetter day-to-day: pricebook updates, deal-approval governance, architectural drift flags, monthly ARR-uplift pacing. The LevelSetter API delivers portfolio rollup in real time, not batch reports, surfacing tactical issues and strategic opportunities across the book so operating-partner attention deploys where it makes the biggest difference. SPP guides through architecture iterations and renewal sprints. Pricing stops being a once-per-hold conversation and becomes continuous value creation across the portfolio.
Build the asset
for exit
Every pricing and packaging change during the hold generates customer-response data: which packages buyers chose, how realized price moved against list, where renewal pressure surfaced. LevelSetter accumulates that signal into an empirical demand-curve model for the business, a live pricing playbook tuned to how this customer base actually responds. At exit, the architecture and the playbook transfer with the asset. BDNA’s exit to Flexera cleared a 20% premium attributable to the empirical demand-curve model SPP built during the hold. New buyers pay more for businesses they can model forward.
Inside-out benchmarking.
Sharper with every portco.
the next one smarter.
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Most pricing firms benchmark you against published list prices, analyst reports, and industry surveys. That is outside-in data: what vendors say their pricing is, not what buyers actually paid. The benchmark calibrates against fiction.
SPP’s benchmarks come from inside the portfolio. LevelSetter gathers deal-forge analytics across every portco where it’s deployed (how buyers tour packaging, where realized price lands against list, which discount patterns precede churn), then rolls them up by sector, deal size, customer segment, and buyer archetype. The patterns most valuable to a PE sponsor aren’t the ones inside any single sector, your sector lead already sees those. They’re the architecture patterns that recur across Healthcare, HR, Security, and Finance with different surface vocabulary, the dimension no sector specialist can see alone.
Sponsors use the knowledge base two ways: faster gains during the hold by sharing learnings across portcos, and a sharper sales-side advantage when bidding on new deals, an architecture point of view backed by what comparable buyers actually did, not what the seller’s pricing page claims.
Five questions before
you sign anything.
Two-week
diligence read?
Pre-LOI windows are short. A firm that needs 90 days to form a view cannot support diligence. Ask whether their diagnostic is software-accelerated (LevelSetter automates ingestion across 100+ transaction-data formats) or whether each engagement starts as a custom data-engineering build.
Operating plan,
or strategy deck?
Strategy decks describe. Operating plans instruct. The test: is there a week-by-week implementation schedule with named owners, or is there a “recommendations” slide with five bullets? Operating partners need the former.
Operating layer
for the hold?
Pricing thesis execution needs a continuous operating mechanism, not quarterly check-ins. A firm that hands off recommendations and leaves is transferring the hard part back to the portfolio company. The portfolio team operates LevelSetter through the hold; SPP guides architecture decisions and renewal sprints.
Will they defend it
to the IC?
Ask whether they will sit in the IC, walk through the model, and take questions on downside scenarios. If the answer is “we hand off the deck,” the diligence isn’t really the diligence. You’re the one who has to defend it.
B2B software PE
portfolio experience?
Pricing consulting broadly is not the same as software-pricing consulting, which is not the same as software-pricing consulting for PE-backed portfolios. The economics, governance rhythm, and exit-narrative requirements are specific. Ask for three comparable portfolio engagements by hold stage.
Surveys, or
transaction data?
Standard PE pricing diligence is a willingness-to-pay survey, sometimes paired with a competitor benchmark. Surveys describe what buyers say in a hypothetical, not what they do when budget is on the table. SPP models from your own transaction data and adjacent-category benchmarks: what comparable customers actually paid through negotiation. The methodology shapes whether the IC deck holds up three years later or quietly drifts away from the underwriting case.
Diligence wins deals.
Skipped diligence costs them.
A PE firm brought SPP into LOI diligence for a B2B software target. The diligence surfaced a discount structure that wasn’t optimized for enterprise customers and named the licensing, packaging, and pricing architecture changes that would unlock material upside. The firm won the deal because they could bring that level of insight to the IC discussion. The architecture moves rolled directly into the post-acquisition sprint plan, executed by the portfolio team at their pace.
A mid-market PE firm modeled an aggressive ARR uplift from an on-prem-to-cloud conversion in pre-LOI diligence. SPP introduced new investment variables to tighten the thesis: price increases on the legacy base would surface churn risk the original model hadn’t priced. The firm chose to underwrite the original thesis instead. One year later, the legacy base didn’t convert as modeled, the price-driven churn arrived on schedule, and the deal fell short of plan. They called us back.
Frequently asked questions
Your pricing thesis is worth an operating plan, not a footnote.
If you’re inside an LOI window, the 100-day clock just started, or a hold-period thesis is stalled, that’s the conversation. Renewable. Each renewal is one we earn.