问题我们不知道哪些产品能赚钱 › 银行与金融服务

我们不知道哪些产品能赚钱
in 银行与金融服务

每家银行都有一条产品线被所有人默认盈利,而这条线通常正由分支网络补贴。 对银行和金融服务机构而言,难点在于结构:分支网络既是存款护城河也是成本问题,关系知识又集中在即将退休的六个人手里。任何可信答案都必须同时考虑效率比率和资金成本,而这正是大多数内部分析止步之处,因为两者分属不同系统。

简短回答

每家银行都有一条产品线被所有人默认盈利,而这条线通常正由分支网络补贴。 对银行和金融服务机构而言,难点在于结构:分支网络既是存款护城河也是成本问题,关系知识又集中在即将退休的六个人手里。任何可信答案都必须同时考虑效率比率和资金成本,而这正是大多数内部分析止步之处,因为两者分属不同系统。

产品级利润确实难算,因为大部分成本如分支网络不在单笔贷款账簿或存款产品之内,而常见的分配方式——按账簿规模——会悄然决定答案。按$3.1B商业贷款账簿比例分摊间接费用,会让高量产品显得昂贵、低量存款产品显得高效,而实际情况往往相反,低量产品消耗了即将退休的六个人不成比例的精力。

可行做法只分配真正可追溯的成本,如资金成本或单名银行家的 origination,其余保持未分配。最终得到按产品线的贡献和一个诚实的共享成本池(含效率比率影响),这远比无人相信的全额吸收数字有用。

结果通常令人不适。大多数组合中,少数产品线承担全部重担,至少有一条长期产品线已亏损多年,而所有人仍以为它在盈利。

如何判断这确实是你的问题

这三者同时出现才是标志。单独一个通常指向其他问题。

✓ 净息差仅在全行层面公布
✓ 尽管反复进行效率比率审查,却从未停掉任何产品
✓ CFO 与首席贷款官对同一存款产品的说法不一致

通常会让情况更糟的做法。 用存款集中度或账簿规模把分支成本和关系开销全额吸收到产品线,得出一个基于任意规则却显得精确的数字,并因其看似严谨而被维护。

Who this is for — and who it is not

It is for you if you run or finance a bank and product profitability is quoted as a company-wide gross margin. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.

It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.

实际运行分析时的样子

Below is an excerpt from a real run of this analysis on 一家银行. It is a sample profile rather than a customer, and it is engine output translated from English — this is the format you get, on your own numbers.

The subject is Harborline Financial Group, a sample company profile used for testing rather than a customer — $3.1B commercial lending book, $410M of deposits.

Excerpt from a real Percision run · Quick Market Scan · sample company profile

The move. Turn the 71% overlap into a sticky, data-driven treasury platform that raises switching costs and extends the relationship moat.

The leak it closes. Reduces operating-account attrition risk by raising switching costs; offsets 34%→22% non-interest-bearing share decline

The assumption it rests on. 50 pilot customers will adopt SaaS at $180–$420/month within 90 days of launch — the engine put the probability at 0.75.

What the run committed to
Investment required$2.4–3.0M development (6 FTE × 24 months) + $0.8–1.2M 2027 core-migration integration = $3.2–4.2M total
Expected returnRisk/Reward 7.4×; NPV $3.1–4.2M on $3.2–4.2M investment within 5 years
Revenue, year 1$180K MRR (50 pilot customers)
Revenue, year 2$720K MRR (200 customers)
Revenue, year 3$1.8M MRR (500 customers)
Exit criteriaKill the move if pilot converts <25 customers or MRR <$60K by Month 9; reallocate remaining budget to SBA 7(a)/504 desk or insurance referral partnership

This is one move out of a full analysis. Read a complete report — every page, no email required.

引擎如何处理这个问题

This question routes to Matrix Strategy, one of 29 engagements the platform runs. For 银行和金融服务机构 it works through efficiency ratio, cost of funds, origination per banker and deposit concentration, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.

You watch the analysis get built before paying anything. 在此阅读完整报告 if you would rather see the depth first.

人们关于此问题的常见提问

我需要作业成本法吗?

针对手头的决策几乎不需要。可追溯成本加一个未分配池就能得出排序,而排序才是你据以行动的依据。完整作业成本法往往是超出当初决策的项目。

支持其他产品的产品怎么办?

明确说明并定价支持。一条亏损但真正拉动盈利收入的产品线,就是有名字的营销成本——只要有人做出过这个决定,这就很合理。

多久重做一次?

每年一次,或在产品组合发生重大变化后。排序比数字更稳定,因此每次重做成本都会降低。

Is this different in banks & financial services than in other industries?

Materially, yes. The branch network is simultaneously the deposit moat and the cost problem — and the relationship knowledge sits in six people close to retirement — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are efficiency ratio, cost of funds, origination per banker, and an answer built on industry-general benchmarks will usually point at the wrong one first.

What data do I need before this analysis is worth running for a bank?

Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on efficiency ratio and cost of funds. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.

When is Percision the wrong tool?

Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Does Percision replace a lawyer, tax advisor, auditor, or AI implementation team?

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.

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