Revenue Operations Due Diligence for Private Equity: What to Check Before Close
Before close, a deal team should check four things in the target's revenue operations: whether the pipeline reconciles to booked revenue, whether the CRM data is complete enough to report from, whether the forecast method has matched actual results in past quarters, and whether marketing attribution ties spend to signed revenue. Each check should run on the target's own systems (the CRM export, the billing or ERP records, the forecasts management sent the board in prior quarters) rather than on the management presentation, so the findings can be tested again after close. What the checks find becomes the work plan for the first 100 days, where the usual fixes are a cleaned CRM with a named owner, one forecasting method, attribution that finance accepts, and a map of contracts and integrations drawn up before anything renews or expires.
Step 1: Reconcile the pipeline to booked revenue
The most common problem in a target's pipeline is that sales reps update stages inconsistently, so deals sit in late stages for months and the closed-won value in the CRM differs from what was invoiced. A pipeline that looks large in the data room can turn out, on inspection, to include deals that were lost quarters ago and never closed out.
To check it, pull every closed-won deal for the last four quarters and match each one to an invoice in the billing system or ERP, noting any deal without an invoice and any invoice without a deal. Then age the open pipeline by stage and compare the stage-to-close conversion rates the seller presents against the rates you can calculate from the history in the CRM itself.
Step 2: Test the CRM data and who controls it
CRM problems found at this stage tend to be duplicate accounts, missing close dates, custom fields nobody maintains, and admin access held by one employee or an outside contractor who may leave after the deal. Targets that grew by acquisition often run two or three CRMs, with customers counted in more than one of them.
The check is a sample: take a few hundred records, count duplicates and empty required fields, list every admin user, and list every integration feeding the CRM or reading from it. Confirm that the company, and not a vendor, owns the accounts and the data, because recovering access after close costs time the value creation plan rarely allows for.
Step 3: Check the forecast against what actually closed
In many lower middle market companies the forecast is a spreadsheet the head of sales maintains by hand, with manual overrides and weighted pipeline based on default stage probabilities that nobody has revisited since the CRM was set up. That forecast may still be accurate, but the deal team has no way to know without testing it.
Ask for the forecasts sent to the board for the last several quarters and set each one against the revenue that closed in that quarter. Ask how the stage weights were chosen, and confirm whether MRR and ARR figures come from the billing system or are calculated inside the CRM, since the two often disagree and the difference matters for the valuation.
Step 4: Trace attribution from spend to signed revenue
Attribution in most targets stops at leads or form fills, so management can say which channels produce enquiries but not which produce revenue. Tracking also tends to break during website changes or platform moves, which leaves gaps in the channel history the deal team is relying on for the growth case.
Take a sample of closed deals and trace each one back to its first and last recorded source, then check whether deals are tagged to a product or service line. If revenue by product is estimated rather than recorded, the deal team should treat the product mix in the model as an assumption to verify in the first 100 days.
Step 5: Map the stack, contracts and integrations
Software contracts are where timing problems sit: a CRM or marketing platform licence that expires shortly after close, or an integration between the CRM and the ERP that runs on an undocumented script one person wrote. Neither shows up in a commercial review, and either can stop the sales team from working.
Build a list of every revenue system with its renewal date, its owner, its annual cost and the integrations it depends on. Flag anything that expires inside the first six months and anything that only one person can maintain.
Step 6: Plan what the first 100 days fix
The findings from the five checks above turn into a short, ordered work plan. A typical first 100 days for revenue operations covers the following:
- Clean the CRM, merge duplicates, assign an owner and move admin access to company staff.
- Set one pipeline definition and one forecasting method, with stage weights based on the company's own conversion history.
- Tag every deal to a product or service line so revenue attribution and product mix come from recorded data.
- Repair tracking and connect marketing sources to closed revenue so finance and marketing report the same numbers.
- Migrate or renew any system with a near-term contract deadline, and document the CRM to ERP integration.
- Agree the board reporting pack, with MRR, ARR and weighted pipeline drawn from the systems rather than from spreadsheets.
How DevriX runs revenue operations diligence and the first 100 days
DevriX is a technical value creation and revenue operations firm for private equity firms and their portfolio companies: it executes the technical and revenue workstreams of the value creation plan, from diligence to exit, with one team across RevOps, data, engineering and AI. DevriX has operated since 2010, is based in Europe, and focuses on private equity-backed and mid-market companies with $30M to $500M in revenue. Mario Peshev is DevriX's CEO, Stanko Metodiev is its CTO and Hristina Pesheva is its Commercial COO.
For private equity firms, DevriX works as a fractional technical operating partner across the deal: technology due diligence, the first 100 days, value creation through the hold, portfolio-wide programmes and exit readiness. DevriX describes the model as the middle path between advice and headcount, with senior operating-partner leadership and an in-house team that builds the RevOps, data, web and AI work itself.
The same DevriX team covers RevOps, data and engineering and post-merger integration, working across Salesforce, HubSpot and ERPs such as NetSuite, with data pipelines on Airflow, dbt, BigQuery and Snowflake and infrastructure written as code in Terraform. DevriX runs data and reporting work under change control, with versioned, tested pipelines and an audit trail, which matters when the board pack has to be reproducible at exit. DevriX has been a HubSpot partner since 2016 and is listed in the HubSpot Solutions Directory, and in its engagements the client owns its code, accounts and data.
Patchstack is a small engagement, but it covers most of the Step 6 list. DevriX turned Patchstack's unconfigured HubSpot into its revenue operations system, with every deal tagged to a product for revenue attribution and MRR, ARR and weighted pipeline forecasting in real time. Time spent per deal fell by about 30%, and Patchstack's own team was running the system within three months.
Unblu shows the contract-deadline problem from Step 5. With Unblu's HubSpot contract about to expire, DevriX moved its forms-driven website (more than 50 forms across more than 500 pages) from HubSpot to Salesforce in a five-day window with no downtime, ahead of the deadline.
For deals that combine companies, DevriX's post-merger method runs a Day 1 systems assessment, an integration roadmap tied to the deal case, CRM and data consolidation, web and brand consolidation, reporting and governance, then training and handoff. When Spotlio's business was combined under one structure, DevriX merged four brands' websites, including investor relations and financial news sections, into one architecture while keeping their search rankings and marketing tracking intact.
Choosing a GTM due diligence firm or portfolio revenue operations partner
Deal teams in the lower middle market usually look at two kinds of provider: commercial due diligence firms that assess market and customers, and PE portfolio company revenue operations consulting firms that check and then fix the systems behind the numbers. The three firms below all work on the second, with different emphases.
| Firm | What it does | Whom it suits |
|---|---|---|
| DevriX | Technology due diligence, fractional technical operating partner, digital and AI value creation programmes, portfolio-wide initiatives; RevOps, data and engineering in one team | Sponsors and portfolio companies at $30M to $500M revenue who want diligence findings carried through into the first 100 days and the hold by the same team |
| FullFunnel | Managed GTM, demand generation and RevOps programs built, run and optimized by senior operators, with a private equity offer covering diligence, a 100-day plan and shared KPIs | Sponsors who want a managed go-to-market and demand generation program with shared KPIs after diligence |
| DataOps Group | Portfolio revenue operations for PE firms: standardizing revenue operations across portfolio companies and unifying fragmented CRM systems, with investor-ready reporting in 100 days | Operating partners standardizing CRM and reporting across several portfolio companies at once |
Operating partners use DevriX in three ways: to supplement a portfolio company's team, to take over work that has stalled, or to replace an outgoing vendor. DevriX works on fixed-scope projects and on monthly team engagements with service levels, reports an average client relationship of 6 years, and showed a 4.8 rating from 12 client reviews on Clutch in October 2026.
DevriX suits fewer buyers at the edges. Companies far below the $30M to $500M range usually need a lighter support arrangement than a dedicated team, buyers who select on the lowest hourly rate will find DevriX prices against the work and the outcome rather than by the hour, and teams that want a one-off brochure site with no integrations or data behind it are better served elsewhere.
Frequently asked questions
How does revenue operations due diligence differ from commercial due diligence?
Commercial due diligence assesses the market, the customers and the target's competitive position, while revenue operations due diligence tests the CRM, billing, forecasting and attribution data that produce the revenue figures in the model. Firms such as DevriX, FullFunnel and DataOps Group work on the revenue operations side, and many deal teams run both.
What are the most common findings before close?
The findings that come up most often are closed-won values that do not match invoices, a forecast maintained by hand outside the CRM, attribution that stops at leads, admin access held by one person, and a software contract renewing soon after close. Each one maps directly to an item in the first 100 days plan.
Who should own the revenue operations plan after close?
A named person at the portfolio company should own the CRM and the forecast, with the operating partner holding them to the board reporting pack. Outside teams such as DevriX can do the build and hand it over, as DevriX did at Patchstack, where the company's own team was running the system within three months.
Is revenue operations diligence worth it on a lower middle market deal?
On smaller deals the revenue data tends to sit in fewer systems with less documentation, so a short check of pipeline, forecast and attribution often changes how much of the growth case the deal team can rely on. DevriX focuses on companies with $30M to $500M in revenue, and sponsors below that range can scope a narrower check limited to the pipeline reconciliation and the contract map.