問題 › 価格を引き上げるべきか › 会計・アドバイザリー事務所
問題は一律に料金を引き上げるかどうかではありません。どの顧客に対して、コンプライアンスとアドバイザリーのそれぞれでどれだけ引き上げ、実現率やコンプライアンスの維持率の低下をどこまで受け入れるかです。 会計事務所の場合、82%の実現率と71%の billable utilization が答えを左右します。コンプライアンス料金の圧縮と、法定業務を減らさずにアドバイザリーへ時間を移せないという業界特有の制約が加わります。一般論と実際の状況では、最初に取る手が異なります。
問題は一律に料金を引き上げるかどうかではありません。どの顧客に対して、コンプライアンスとアドバイザリーのそれぞれでどれだけ引き上げ、実現率やコンプライアンスの維持率の低下をどこまで受け入れるかです。 会計事務所の場合、82%の実現率と71%の billable utilization が答えを左右します。コンプライアンス料金の圧縮と、法定業務を減らさずにアドバイザリーへ時間を移せないという業界特有の制約が加わります。一般論と実際の状況では、最初に取る手が異なります。
料金設定は最も速く効くレバーです。新規顧客や追加の稼働時間、人員を必要とせず、次の請求書から変わります。それでも経営者はためらい、実現率は82%に留まり、利用率は71%で推移し、仕掛品が増え続けています。
有効な見直しは、単一の目標時間単価を出しません。業務区分ごとの顧客内訳を示します。どのコンプライアンス顧客が現在の実現率で価値を下回っているか、どのアドバイザリー案件が既に上限に近づいているか、根拠のない値引きが粗利をどれだけ削っているかです。
料金調整を行えば、必ず一部のコンプライアンス顧客は離れます。91%の維持率を維持したままなら、既存の82%実現率の下で粗利を回復するには引き上げが小さすぎたことになります。
この3つが揃うと特徴的です。1つだけでは別のことを示すことが多いです。
✓ ほぼすべてのコンプライアンス案件が、見積もり料金でほとんど交渉なく受注されています。
✓ 値引きや減額が請求書の多くに現れ、パートナー間で大きく異なり、記録された根拠がありません。
✓ 時間単価は据え置かれたまま、稼働時間と利用率がコンプライアンス料金圧縮を埋めきれていません。
通常、事態を悪化させる対応です。 すべての時間単価と固定コンプライアンス料金に同一の率で引き上げを適用することです。既に実現率の低い顧客をさらに圧迫し、アドバイザリー案件は新案件34%の受注率に対して依然として安価なままです。
It is for you if you run or finance an accounting firm and almost every deal closes, and closes quickly. 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.
Below is an excerpt from a real run of this analysis on 会計事務所. 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 Pennmark Advisory, a sample company profile used for testing rather than a customer — 43.2m total revenue with 210 fte staff.
Excerpt from a real Percision run · Cost Reduction & Efficiency · sample company profile
The move. Convert 15,000 compliance hours into $1.9M incremental EBITDA by embedding advisory inside existing client relationships.
| Investment required | $0.8M-$1.2M for 6 FTE conversion specialists (salary + training); funded entirely from existing $7.8M EBITDA within 24-month payback constraint |
| Expected return | Base case: $1.9M incremental EBITDA on $1.0M investment = 1.9× return within 24 months; Low case: $1.4M EBITDA (26% lower pipeline conversion); High case: $2.4M EBITDA (26% higher win rate) |
| Revenue, year 1 | $0.6M incremental advisory revenue (partial year, 6 specialists hired Q2 2027) |
| Revenue, year 2 | $1.9M incremental EBITDA (full-year run rate) |
| Revenue, year 3 | $2.8M incremental EBITDA (additional 4 specialists funded by Year 2 cash flow) |
| Exit criteria | Strategy should be reversed if, within 18 months, (a) advisory win rate falls below 25% for two consecutive quarters, OR (b) compliance retention drops below 88%, OR (c) incremental EBITDA from conversion specialists fails to reach $800K annual run-rate by Month 18 |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Pricing & Revenue Optimization, one of 29 engagements the platform runs. For 会計事務所 it works through 82% realisation rate, 71% billable utilisation, 34% advisory win rate and 91% compliance client retention, 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. 完全なレポートはこちらをご覧ください if you would rather see the depth first.
一般的な答えはありません。セグメントごとの分析が有効です。恐れている顧客離れは、失うことで自社の収益性が改善する層に集中していることが多いものです。
新規から始める方が安全で緩やかです。収益は既存顧客にあります。まず新規顧客の料金を調整し、四半期の受注率を確認した上で、更新時に既存顧客へ通知して引き上げる順序が妥当です。
価格以外で勝負しているか、していないかのどちらかです。価格で競う場合、自社の原価構造がそれを支えられないなら、販売量が増えるほど確実に損失が拡大します。
Materially, yes. Compliance fee compression and inability to shift hours to advisory without reducing statutory output — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are 82% realisation rate, 71% billable utilisation, 34% advisory win rate, and an answer built on industry-general benchmarks will usually point at the wrong one first.
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 82% realisation rate and 71% billable utilisation. 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.
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.
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