Deal Sourcing Software: What to Look For Before You Buy

What deal sourcing software actually does

Deal sourcing software finds companies that could be worth buying and narrows them to the ones worth a closer look. That sounds like a search engine, and the weakest tools in the category are exactly that: type in a sector and a size band, get a list of names. The useful ones do three things a search box cannot: they score each result against criteria specific to your mandate rather than a generic filter, they keep watching a target after the first search so a change — a director leaving, an advert appearing, a set of accounts filed — reaches you without a repeat search, and they hand a shortlisted target somewhere to go, usually a pipeline, rather than leaving it in an export.

It sits next to, and usually feeds, deal management software: sourcing decides what enters the pipeline, the pipeline decides what happens to it next. A tool that is good at one and absent from the other creates a gap a person has to bridge by hand, usually with a spreadsheet.

The four shapes the category takes

Most searchers and small corporate development teams start in the first two rows and add the third by hand. The fourth is what this guide is mostly about, because it is the shape that changes how much of a mandate one person can actually cover.

The capabilities that separate a real tool from a search box

It scores on filed figures, not a guess

A target list that shows "estimated revenue: £2–5m" next to every row is showing you the same band it shows everyone, because it has no real figure to show. Software that reads a company's own filed accounts — turnover, operating profit, net assets, employee numbers from the current filing period, not a modelled estimate — can screen on an EBITDA band that means something, and can tell you honestly when a business only files abbreviated accounts and the figure is simply not there. The second answer is more useful than a confident-looking guess.

It scores against your mandate, not a generic filter

Sector and size are the easy filters. A real acquisition mandate usually carries more: a minimum EBITDA margin, a geography, a maximum customer concentration, an owner who is likely to be near retirement, a debt profile the deal can be funded against. Software that lets you state that mandate once and scores every target against it — never marking an unstated figure as a miss, since a company that has not filed a figure is unknown rather than disqualified — does the work a person would otherwise do line by line in a spreadsheet. How to build an acquisition mandate covers turning criteria into something scoreable in the first place.

It watches, rather than only searching once

The best acquisition opportunities are rarely the ones freshly advertised — those attract the most competing buyers. A target worth watching is one where nothing has happened yet: an owner ageing past typical retirement, a director resigning, a charge against the business finally cleared, accounts starting to show strain. Software that re-checks a saved target on a schedule and tells you what changed does something a one-off search cannot: it turns "no" into "not yet".

A shortlisted target goes somewhere

A CSV of a hundred company names is not a pipeline. A tool worth paying for lets you save a shortlist, keep the researched figures and contacts attached to each one, and promote a target into an active deal without re-typing what it already found — the company number, the sector, the filed figures, the fit score all carrying across. If sourcing and the pipeline are two different products, someone is doing that transfer by hand, and the figures usually do not survive the trip intact.

It gets you to the owner, honestly

Finding a business is not the same as being able to approach it. A verified website and a named director are worth more than a guessed email address, and a tool that cannot tell the difference — or worse, does not try — puts you one bounced email or one unwelcome message away from a reputation problem with the exact owners you want to talk to. What "verified" should mean, and what it should never guess at, matters more here than almost anywhere else in the category.

A scoring sheet for a demo

A worked example

Mistakes buyers make when evaluating sourcing tools

• Judging on list size. A tool that returns ten thousand names and a tool that returns forty scored, monitored, mandate-fit ones are not competing on the same axis. More unscored names is more manual work, not less.
• Assuming "AI-matched" means real figures. Ask what the match is computed from. If the answer is a description or a category rather than a filed number, the match is a guess with better marketing.
• Treating a marketplace feed as the whole market. Advertised businesses are a small, self-selected slice — often the ones that struggled to sell quietly first. A tool that only watches marketplaces is not watching the register.
• Buying outreach before sourcing. Volume email to an unscored list burns the addresses worth having before you know which ones are worth having.
• No way to ask "what changed?" If the only answer to that question is running the same search again by hand, the tool has not done the monitoring job.

Where TrueValue fits

TrueValue's target discovery reads the UK Companies House register directly — turnover, operating profit, net assets, cash, creditors and employee counts from each company's current filing, not an estimate — and scores every match against an acquisition mandate you set once, with unstated figures shown as unknown rather than counted against a target. Saved screens re-run automatically and flag what is new since the last run. Alongside the register, a live feed reads businesses advertised for sale across fourteen UK marketplaces, cross-referenced against Companies House to identify who the anonymous advert actually is, with the asking price shown as a second series next to filed figures — never mixed into one number. A shortlisted target promotes into a deal with its figures, sector, scores and linked contacts carried across rather than re-typed, and a "research on the web" step verifies a company's own website and news signals before anyone reaches out — storing a verified address only where the page itself confirms the company, not a guessed domain.

This sits inside the same platform as the pipeline it feeds: M&A CRM for the contacts and conversations, M&A valuation software to price a target once it is shortlisted, and the TrueValue Agent that can be set to watch a saved screen and a shortlist and flag what changed, with evidence on every finding. It is built for search funds and independent sponsors running their own origination as much as for a corporate development team screening add-ons.