The intelligence layer
email forgot to include

We score every customer using three behavioural signals. Then we show you exactly who needs attention, why, and what to do about it.

How It Works

Three signals. One map. Total visibility.

The Attention Map applies RFM scoring — the same behavioural intelligence framework used by the greatest direct marketers for decades — to your customer or email list data.

1

We connect to your data

We sync with your e-commerce platform or email service provider. Shopify, WooCommerce, Klaviyo — wherever your customer data lives. No migration. No new tools. We work with what you already have.

2

We score every customer

Each customer receives a score based on three behaviours: how recently they engaged (Recency), how often they engage (Frequency), and how much they spend (Monetary value). These three numbers tell the story of every customer relationship.

3

We map the patterns

Scores are plotted on a 5×5 grid. Instantly you can see your champions, your loyal customers, your at-risk buyers, and the people quietly drifting away. Movements across the grid are tracked over time.

4

We surface the actions

The dashboard doesn’t just show data — it tells you what to do. Tripwire alerts flag customers whose order latency suggests they’re about to churn. Cohort retention tracks segment health over time. Every screen answers: “what do I do next?”

The Three Signals

Customer behaviour tells the truth

RECENCY

How recently they engaged

Recency is the strongest predictor of future behaviour. Buying creates momentum. The more recently someone engaged, the more likely they are to engage again.

FREQUENCY

How often they engage

Frequency reflects habit formation. A customer who buys once is a transaction. A customer who buys repeatedly is a relationship. Frequency separates the two.

MONETARY

How much they spend

Monetary value reveals economic commitment. Combined with recency and frequency, it identifies your true champions — and the customers worth fighting to keep.

COMBINED

The full picture

When mapped together, these three signals create a behavioural map of your entire customer base. 25 segments. Every customer scored. Every movement visible.

Segment Intelligence

Every score tells a story

Each RFM combination reveals a different customer relationship. The dashboard makes these stories visible at a glance.

5-5-5

Champion

Recent, frequent, high spend. Your best customers. Test new offers here first. If they don’t respond, other segments won’t either.

5-1-1

New Buyer

Just purchased for the first time. The hardest barrier is crossed. The goal now: encourage a second purchase while momentum is high.

1-5-5

Slipping

Used to be a champion. Hasn’t engaged recently. Strong candidate for reactivation before the relationship is lost entirely.

1-1-1

Inactive

Not recent, rare buyer, low spend. Minimal relationship remaining. Marketing investment here is usually limited.

Hidden Opportunity

The engaged non-buyer

Inside most lists there is a group that opens your emails, clicks your links, reads what you send — but has never purchased. They are paying attention. Attention is a signal. And attention without conversion is money waiting to move.

They’re reading every email.
They just haven’t bought yet.

The Attention Map makes this group visible. For many list owners, these engaged non-buyers represent one of the easiest revenue opportunities hiding inside their database.

Who It’s For

Built for operators who care about keeping customers

E-commerce owners

Shopify, WooCommerce, or any platform with order data. See which customers are about to churn before they go silent.

Email list owners

Klaviyo, ActiveCampaign, or any ESP. Map engagement behaviour across your subscriber base and find the revenue signals.

Direct response marketers

If you understand that past behaviour predicts future behaviour, this is the infrastructure you’ve been missing.

Ready to see your list clearly?

The Continuous Cashflow System shows you the hidden behavioural signals inside your email list.

See The System

Early access is being handled selectively while the first implementations are set up properly.