Blog · Coverage and territory · Commercial banking
A cross-sell list longer than a relationship manager can work is a report. This guide sets out how a commercial bank measures RM capacity from client counts and contact history, caps the valued gap list per RM at what can be worked in a quarter, and reads the difference between an overloaded RM and an under-covering one.
A cross-sell list is the easy part. Every commercial bank can compute, per client, the products held against the norm and the value of the difference. The hard part is that the list is longer than any relationship manager can work, and a list nobody can finish is a list nobody starts. This guide sets out capacity per RM and the cap it puts on the list.
Per RM:
Demand = Σ clients (contacts per quarter required by the client's tier) Capacity = contacts one RM can make in a quarter, from the bank's own history Load = demand ÷ capacity
Per RM, the cross-sell list is capped at the gaps that fit inside capacity after the required contacts are made.
Client identifiers only.
Take the RMs whose coverage is highest in each region. Their contacts per quarter is a demonstrated capacity, not a target. Use the median of that group, per region if the regions differ, and revisit it each half year.
| RM | Clients | Demand | Capacity | Load | Coverage | Reading |
|---|---|---|---|---|---|---|
| A | 48 | 180 | 200 | 0.9 | 91% | Working as designed |
| B | 71 | 310 | 200 | 1.55 | 58% | Overloaded; rebalance the portfolio |
| C | 44 | 160 | 200 | 0.8 | 47% | Under capacity; a coaching conversation |
| D | 52 | 190 | 200 | 0.95 | 88% | Working as designed |
B and C have similar coverage and opposite problems. Without load beside coverage, both look like RMs who are not calling their clients. With it, one is a portfolio design problem the regional head owns and the other is a performance conversation.
Capacity as a target from head office. A number nobody has achieved produces loads under one for everyone and explains nothing. Derive it from the RMs who achieve it.
Contacts not logged. An RM who calls and does not log looks under capacity. The measure sees the log; the process feeds it.
Tiers stale. A client that grew is still tier three, needing one contact a year. Recompute tiers from revenue on a schedule.
The cap hidden. If the RM sees only the capped list, the regional head never sees the value waiting. Show both.
Mapped once, the portfolio, the contact history and the gap list produce load per RM and the capped list every quarter, with the value waiting for capacity by region. Covirage builds this from the exports as they are, inside the bank's tenant on an enterprise deployment. The commercial banking page describes the setup.
It depends on the tier mix. A portfolio of forty large corporates needing monthly contact is full; a portfolio of two hundred small businesses needing an annual review is also full. Capacity is calls, not clients, and the tier frequencies convert one to the other.
From the bank's own coverage model, written down per tier. Where it has never been written down, start from the median contact interval the best-covering RMs actually achieve, per tier.
They stay on the client's record and on the regional list. They are not lost; they are not on this quarter's plan for this RM, and the regional head can see how much value is waiting for capacity.