Most customers buy once and never come back.

You worked hard to get that first order. Don't lose them now. Upload your Shopify sales history, and we’ll give you the bundle strategy and email lists you need to drive a second purchase.

Turn Data into Direction.

You don't need a data scientist. You just need to know what to sell and who to email.

Step 1: The Setup

Drop Your File Here

We don't need your store password. Just export your 'Orders' file from Shopify and drop it here. It takes 30 seconds.

Your Sales History

.csv from Shopify

Ready to analyze
Step 2: The Discovery

Find Hidden Revenue

We scan your history to calculate exactly how much money you missed by not having the right bundles and by letting VIPs slip away.

Analysis Result

Opportunities Found

Missed Cross-sells
$18,450
At-Risk VIP Value
$5,300
Reclaimable Revenue$23,750
View Details
Step 3: The Bundles

Uncover Winning Combos

Stop guessing. We find the product pairs that customers actually want (e.g. 'Hat + Shirt'). You see the potential revenue, then you create the bundle.

High Value Bundle

The "Weekend" Set

🧢

Trigger

👕
Upsell

Add This

Potential Lift

+35% AOV

Est. Revenue

+$15,200

Step 4: The Retention

Stop Losing VIPs

We generate a list of your best customers who are at risk of leaving. You get the list and the strategy to win them back.

Recipient List:

High Risk

vip_churn_risk.csv

TEMPLATE

Recommended Offer

COMEBACK15

15 Customers
Step 5: The Routine

Check In Every Monday

Make it a habit. Upload your new sales data every week to spot new trends and keep your customer lists fresh.

Your Weekly Routine

MTWTFSS
Import CSV
LTV Up

Next upload: Monday

Works with

ShopifyWooCommerce
CSV Exports

The Cost of Doing Nothing

See how much revenue you could be generating with proper bundling and segmentation.

1

Enter your metrics

1,000
$50
"Marketing without data is like driving with your eyes closed."
Dan Zarrella
2

Projected Impact

Frequently Asked Questions

Everything you need to know about Affinsy Analytics, MBA, and RFM.

Market Basket Analysis is a data science technique used by retailers to discover associations between products. It analyzes customer transaction data to identify which items are frequently purchased together. This helps businesses make smarter decisions about product placement, cross-promotions, and marketing campaigns to increase sales and average order value (AOV).