Xero estimates the average annual retention rate for UK accountancy firms is at 85%. That sounds healthy, until you realise it means the average firm is losing 15% of its book every year, with some losing far more. And these firms have no reliable way of knowing which relationships have gone quiet.
There are three sides to this retention story: the opportunity to capitalise on a competitor’s lost clients, the need to protect your own book from the same pattern, and the ability to grow your existing clients’ services by introducing them to other teams internally. For smart advisory firms, all three elements are important, since acquiring a new client costs about 5–7x more than retaining an existing one.
This pattern is a real signal worth tracking. We’re seeing the advisory firms that recognise it pull ahead of the competition. But how? In this article, we’re revealing the Secret Signals leading firms use to spot when client relationships have lapsed, how to track them systematically, and how to use them to pull ahead.
Secret Signals explained
Secret Signals are patterns hidden across connected data points that reveal important company activity.
On the Beauhurst platform, they reveal what’s happening beneath the surface, before it becomes visible to the wider market.
Why incumbent relationships cool over time
Not every advisory relationship runs on the same cycle, and that 85% headline figure is hiding two very different scenarios.
A large part of a firm’s book is recurring, compliance-driven work that mostly retains itself by design. This may be a filing deadline, a regulatory requirement, a statutory return, or something else, depending on the sector. There’s a fixed point every year and therefore a reason for the client and adviser to speak again. This is partly why some advisory retention figures look healthy on paper.
However, the trigger for transactional advisory work (a refinancing, M&A mandate, fundraise, or restructuring) is more complex. The problem is that this trigger lives in one person’s head rather than the firm’s systems. It depends on a specific partner staying close enough to the client to catch the signal, acting on it, and remaining at the firm when that moment arrives. When any of these steps break down, the relationship cools, and there’s nothing structural behind it to step in.
The result of this is a cooling relationship where the original mandate simply reaches the end of its scope, and neither side has a structural reason to pick it back up.
Cooling incumbents as a signal
Access to advisory and transaction data is key to spotting opportunities where an incumbent is cooling.
Advisor-of-record data on Beauhurst is the first signal: it tells you which advisory firm a company is currently working with and how long that relationship has been in place.
A company still formally attached to an adviser who hasn’t appeared on a transaction in a while signals that the relationship could be drifting and the incumbent hasn’t yet been replaced. This second part is vital in determining the likelihood of your firm unseating an incumbent adviser.
A second signal sharpens the timing: Deal Lifecycle status. Advisers can layer this to see a live mandate that’s been open for an unusually long time, with the same adviser attached throughout, is worth investigating.
Who benefits most from using advisory data?
Legal firms and corporate finance teams are both highly exposed to this pattern, since so much of their work is one-off and project-based. A completed matter or a completed mandate (such as refinancing, a raise, and an M&A deal) has no statutory reason to generate a follow-up.
Accountancy firms sit in a slightly different position. Audit and compliance work function as the entry point, keeping them firm on the client’s books annually. However, retaining the audit relationship isn’t the same as growing the client with additional service lines.
The more transactional segment of accountancy work such as due diligence support, deal-related tax structuring, and EIS/SEIS advice around a raise, behaves exactly like the legal and banking examples above, and is almost certainly where the 15% annual loss concentrates.
Why advisory data is a powerful signal
Without data, spotting this pattern relies on someone remembering that a client has gone quiet. LeanLaw cites that fewer than 40% of law firm partners can confidently state their own firm’s client retention rate, let alone track which specific relationships are cooling.
Turning the cooling incumbent into a signal that can be identified and systematically acted on can work in two ways:
- Tracking the pattern across the market surfaces every relationship that’s crossed into the cooling window, including a competitor’s, at the exact point a client becomes potentially open to switching advisors.
- Implementing the same trigger for your own clients can serve as an early-warning system, catching accounts that are drifting into being a retention risk, before it becomes a reality.
This is particularly important for larger firms, where capability across service lines only pays off if someone joins the dots at the right moment. Failing to do so makes it more likely that a rival firm could unseat you from your current client.
Our in-platform advisory data reveals the clients already being advised elsewhere on work your firm is equipped for. That knowledge helps firms position themselves against rivals, potentially win more mandates, and increase revenue per customer.
How to find cooling incumbents on Beauhurst
Start with the advisory data. Using Advanced Search, build a search for companies where a named firm is the advisor of record, filtered by service line (M&A, corporate finance, fundraising), and you have every company currently attached to that firm. This forms the basis for both a retention list of your own clients and a prospecting list of a competitor’s.
From there, the qualifying question is whether the relationship is still active in practice. Sort by the date of the most recent transaction the advisor appears on, and the companies where that date is furthest back are the ones where the formal relationship has outlasted the working one.
Deal Lifecycle adds a second layer: an open mandate with the same adviser attached throughout tells you where the relationship is currently being tested.
Save either as a dynamic Collection, and new matches will populate automatically as deals age into the specified window.
