Drawing Structures with Numbers: The Logic Behind KPIs, Investment Recovery, and Business P&L - Beta Version: Logical Direct Marketing (8)

Hello.
I am Atsushi Kawabe, an "EC/Mail Order Business Architect" who consistently designs everything from "Product Evaluation → Investment Decision → Product Enhancement → Business P&L Design → Ad Acquisition → CRM Design → Loyalty Building," and integrates everything from management design to product planning, customer acquisition, and CRM.

Introduction: Seeing the "Structure" Behind the Numbers

In the next three chapters, I will systematically organize the marketing structures explained so far into
"Numerical Structures" = KPI design, investment recovery simulation, and business P&L conversion.

Over the next three installments starting with this chapter, I want to convey not
"chasing numbers," but
the meaning of deciphering the "structure" behind the numbers.

● Overview of the 3-Part Structure

[Part 1] ── KPI Design Philosophy:

First, we will cover the meaning and nature of KPIs and their relationship to business design.
KPIs are not just measurement tools, but "thought patterns" for building a business.
Here, we will break down behavioral indicators and financial indicators for each of the three phases: "New Customer Acquisition," "Repeat Purchase," and "Loyalty Building," and
by looking at which indicators show which actions and how they drive the business──
we will structurally understand that mechanism.

[Part 2] ── Investment Recovery Simulation:

Next, using those KPIs, we willvisualize the investment structure as a business.
"Which investment is recovered at what timing and with what efficiency?"
In this phase, I will explain the importance of "exposing the critical points" through numbers. We will capture the investment recovery simulation on amarginal profit basisand accurately track the recovery period for advertising costs.
This is why KPIs function not just as measurements, but as "business decision-making devices."

[Part 3] ── Expansion to Business P&L:

Finally, we will reflect actual investment details and performance values into the investment recovery simulation.
Furthermore, we willmanage them acrossmultiple products and multiple channels, and
after accounting for fixed costs and other expenses, we will expand it into a **monthly business P&L (budget plan)**.

Once you have designed this far,
the investment simulation changes from a "table for looking at numbers" into a
management dashboard for driving the entire business.

In addition, once actual values are available,
you canoverwrite the simulation values with actuals,
and by recalculating "actuals + future forecasts,"
you will be able to operate it as a **"budget-actual-forecast management table" that integrates all three**.

What I aim to achieve through these three chapters is
not static results like "sales" or "profit," but
**visualizing the "dynamic structure of customer behavior" that flows behind them** using numbers.
In other words, rather than reading numbers, it isfinding structure within the numbers.
That is the first step to "making direct marketing a viable business."

Part 1: Using KPIs not to "Measure," but to "Build"

KPIs (Key Performance Indicators) are often misunderstood as indicators for measuring the current state of a business.
However, in reality, KPIs are "blueprints for construction."
This is because if KPIs are designed correctly, you can visualize the customer behavior behind the numbers and
logically trace "what to strengthen to grow where."

When you break down the structure of direct marketing,
customers always pass through the following three phases.

1. New Customer Acquisition: The stage of creating the first point of contact

2. Repeat Purchase: The stage of continuing and deepening the relationship

3. Loyalty: The stage of building long-term relationships

By designing KPIs for these three phases using the two axes of "behavioral metrics" and "financial metrics,"
you can reproduce the business's "growth process" with numbers.

2. Viewing KPIs through two axes: Separating behavior from investment relationships

When designing a business, you must first look at behavioral metrics.
This is because financial metrics are merely "result numbers" and do not provide clues for improvement.
The same applies to investment simulations;a model constructed with behavioral metricsis what truly depicts a realistic business structure.

3. KPIs for New Customer Acquisition: Measuring "Quality" rather than "Efficiency"

Behavioral KPIs

• CTR (Click-Through Rate)
  : How many clicks were generated relative to ad impressions. This represents the appeal of the ad itself.

• CVR (Conversion Rate / Response Rate)
  : How many users who visited the LP reached the point of purchase or application.

These are metrics that indicate the "degree of resonance" in the combination of ads and LPs.
Changes in these numbers reflect the precision of your customer understanding.

Financial KPIs

• CPA/CPO (Cost Per Acquisition/Order)
  : The advertising cost required to obtain one order.

• ROAS (Return on Advertising Spend)
  : How much revenue was generated per 1 yen of advertising.

These areinvestment decision metrics, but the main focus of operations should not be on "increasing efficiency," but rather on
identifying the quality of acquired customers (= subsequent repeat rate).

4. KPIs for Repeat Business: Quantifying the structure that "generates a second purchase"

The repeat phase is the first hurdle where a business earns "customer trust."
If you cannot pass this, no matter how much new customer acquisition you accumulate, the business will not scale.

Behavioral KPIs

• Trial Conversion Rate (Intent to Purchase Full Product)
  : The percentage of trial purchasers who proceeded to a full purchase.

• F2 Conversion Rate
  : The percentage of first-time purchasers who transitioned to a second purchase.

• Average Interval per F
  : The number of days for each purchase interval (e.g., F1 to F2, F2 to F3).

By including this "purchase interval (F interval),"
the ability to model customer behavior on a time axisis extremely important.
This allows you to realistically calculate "how much revenue will be generated in a month."

Financial KPIs

• Retention Rate
  - The percentage of customers who continue to purchase after a certain period.

The retention rate is a long-term indicator that shows the "degree of brand trust consolidation,"
and it measures the fundamental strength of the business rather than short-term ROAS.

5. KPIs for Loyalty: To Turn Customer Relationships into "Assets"

From the third purchase onwards (F3+), customers enter the "habitual purchasing stage."
From this point on, this is the phase where the profit gained from retention becomes greater than the cost to maintain the customer.

Behavioral KPIs

• Conversion Rate by Frequency (F3 to F6+)
  - The continuous purchase rate for each frequency. By looking at F3→F4→F5..., it becomes clear which segment is prone to churn.

• Turnover Rate (Purchase Frequency)
  - The percentage of customers who purchased within a certain period (1 month, 1 year). Measures the effectiveness of CRM initiatives.

Based on experience, the conversion rate fluctuates significantly from F3 to F5, but stabilizes from F6 onwards.
From here on, it is the world of "fan-based" marketing. Brand experience, relationships, and content quality support purchasing behavior.

Financial KPIs

• LTV (Life Time Value)
  - The sales and profit expected per customer annually.
  - In practice, it is practical to use "1-year LTV" in the field.

LTV is an investment indicator and is the "result" of accumulated behavioral KPIs.
Therefore, you cannot drive improvement by chasing LTV alone.
The ideal design is to have LTV rise naturally by structurally improving behavioral indicators such as conversion rates by frequency and turnover rates.

6. Connecting KPIs to Draw the "Business Structure"

Instead of looking at KPIs individually, connecting them as a flow is a prerequisite for developing investment simulations and business P&L.

　CTR　→　CVR　→　CPA　→　F2 Conversion Rate　→ F3+ Conversion Rate

When this chain is incorporated directly into an investment simulation,
a "P&L based on customer behavior" is created.
In other words, it becomes a tool for interpreting P&L not as a "financial table" but as a "customer story."

7. Key Points of KPI Design (Summary)

• KPIs are not "things to measure results," but "things to build structure."

• Look at investment decisions (financial) and customer behavior (behavioral) separately.

• Investment simulations become closer to reality when built with behavioral indicators.

• Manage KPIs as a 'flow,' not as a 'point' to be evaluated.

• LTV is not a 'result,' but 'proof that the structure is sound.'

In the next chapter, based on these KPI groups, I will explain "
how to build an ROI simulation" Let's clarify the
design philosophy of an ROI model centered on behavioral KPIs.