How the Revenue attributed is calculated

XFlow uses a confidence-based attribution system to determine whether — and how much — revenue should be credited to a back-in-stock notification.

✅ This ensures attribution is fair, transparent, and realistic, especially when customers interact with multiple channels before purchasing.

What XFlow tries to answer

When a customer receives a back-in-stock notification and later places an order, XFlow evaluates:

1. Did the notification influence the purchase?

2. How strong was that influence?

3. How much revenue should be attributed?

Attribution calculation framework

1. Time-based attribution

Attribution windows

• Standard window: up to 7 days after the email is DELIVERED

• Extended window: up to 14 days if the email was ENGAGED (opened or clicked)

Time decay logic

The closer the purchase is to the notification, the higher the confidence:

Time since notification	Confidence level	Why it matters
0–2 hours	100%	Immediate response
2–24 hours	90%	Same-day purchase
1–3 days	75%	Strong connection
3–7 days	50%	Moderate influence
7–14 days (engaged only)	25%	Weak but possible

2. Engagement-based attribution

Base confidence by customer action:

Subscription status	Base confidence
Delivered → purchase	60%
Engaged → purchase	85%

Additional signals increase confidence:

• Email opened: +10 points

• Link clicked: +25 points

• Multiple opens: +5 points each (max 3)

• Product page visit: +15 points

• Add to cart: +20 points

3. Product matching logic

• Exact match (highest confidence):

  • Notification product ID = purchased product ID

  • Notification variant ID = purchased variant ID

→ 100% confidence

• Indirect matches (reduced confidence):

Scenario	Confidence
Same product, different variant	80%
Same collection	40%
Same vendor	30%
Different product	0% (no attribution)

4. Multiple notifications (multi-touch attribution)

If a customer receives multiple notifications before purchasing, XFlow distributes attribution based on:

• Recency

• Engagement level

Example:

Customer gets 3 notifications, buys after the 2nd

Notification 1: DELIVERED (3 days ago) → 50% base

Notification 2: ENGAGED (1 day ago) → 85% base

Notification 3: DELIVERED (6 hours ago) → 90% base

→ Attribution split based on recency and engagement Final Attribution:

• Notification 1: 10% (oldest, low engagement)

• Notification 2: 60% (engaged, recent)

• Notification 3: 30% (recent, but not engaged)

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How XFlow decides the final revenue amount

Attribution outcomes:

• High confidence (≥ 80%) → 100% of the product’s revenue is attributed

• Medium confidence (50–79%) → Partial revenue is attributed

• Low confidence (< 50%) → No revenue is attributed

Discounts are applied before attribution. Shipping, tax, and unrelated items are not attributed.