顧客を失い続けています
in レストラン・フードサービス

簡潔な答え

失われた客数は損益計算書に数週間後に現れますが、最初のテーブルターンと店内飲食とサードパーティデリバリー注文の割合で決まります。 カジュアルダイニングレストランには特有の制約があります。デリバリーは売上の31%を占めますが純利益率は3.9%に対し、店内飲食は14.8%です。厨房の稼働を圧迫するため、この点を価格に反映しない限り、EBITDAマージン8.6%の変動要因は特定できず、コーホート別の離反議論は意見の域を出ません。

リピート喪失の多くは初回来店時に決まります。厨房が客の感じるペースを崩さず提供できたかどうかです。売上の31%を占めるデリバリー注文は純利益率3.9%で、店内テーブルの回転を遅らせます。客数が減った時点で理由は単に客足とされます。

有効な切り口は初回来店コーホートと14日以内の再来店有無です。初回来店でテーブルターンが円滑だった客のその後の再来店パターンは大きく異なり、メニュー価格や販促の後からの調整より影響が大きいものです。

次に有効な切り口は平均客単価とチャネルです。高利益率の店内客を失い、デリバリー注文が増えると客数は変わらずにEBITDAが8.6%から3.9%へ移行し、準備の重複で原価率が33.4%を超えます。

これが実際に貴社の問題であるとわかる兆候

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。

✓ サードパーティデリバリーの伝票シェアが上がり、店舗ごとの店内客数が減り、テーブルターンが2.9を下回っています。
✓ デリバリー量が多い夜に来店した客と、厨房が店内飲食のみで回した夜に来店した客とで、再来店率に明確な差が出ています。
✓ 全社売上が横ばいなのは、既存22店舗でのリピート客減少を新店舗開設で補っているためです。

通常、事態を悪化させる対応です。 すでに予約をやめた客への呼び戻し施策です。マージンがすでに3.9%のデリバリー水準に移行し、厨房余力も失われた段階での対応になります。

Who this is for — and who it is not

It is for you if you run or finance a casual dining restaurant and cancellation reasons are vague and vary widely. 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.

分析を実際に実行したときの様子

Below is an excerpt from a real run of this analysis on カジュアルダイニングレストラン. 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 Ferro & Vine Restaurant Group, a sample company profile used for testing rather than a customer — $98.4 M system-wide revenue across 22 locations.

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

エンジンがこの質問に対して行うこと

This question routes to Value Creation Blueprint, one of 29 engagements the platform runs. For カジュアルダイニングレストラン it works through 8.6% EBITDA margin, 31% delivery revenue, 2.9 table turns and 33.4% food cost, 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.

この件についてよくある質問

正常な離反率はどの程度ですか

基準値より傾向と構成比が重要です。小口では許容できる率でも大口では致命的になり、コーホート抜きの数字は意味を持ちません。

去りそうな顧客を割引でつなぎ止めるべきですか

離反問題を利益率問題に置き換え、通常は一巡遅らせるだけです。原因を特定し、その周期内で是正する場合に限り有効です。

離反低減の価値はどの程度ですか

新規獲得コストと直接比較してください。既存基盤でのリテンション1ポイントと、新規売上1ポイントの獲得コストを比べます。一定規模を超えた事業ではリテンションの方が数倍安価であり、獲得施策の前に分析する理由です。

Is this different in restaurants & food service than in other industries?

Materially, yes. Delivery contributes 31% of revenue at 3.9% net margin versus 14.8% on dine-in while straining kitchen capacity — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are 8.6% EBITDA margin, 31% delivery revenue, 2.9 table turns, 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 casual dining restaurant?

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 8.6% EBITDA margin and 31% delivery revenue. 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.