New Tool:Find missed bundle revenue in 30s

Most customers buy once and never come back.

You worked hard to get that first order—don't lose them now. Unlock hidden revenue in just 5 minutes. We guarantee results when you implement our AI strategies to boost AOV and LTV.

Turn Data into Direction.

You don't need a data scientist. You need a strategy engine that knows exactly what to sell and who to email next.

Step 1: The Insight

Strategy First

Start with a clear roadmap. We instantly identify your highest-value opportunities—like a missing bundle or an upsell path—and project the potential revenue lift.

Priority #1Highest Impact

Create "Summer Essentials" Bundle

Data reveals a 68% purchase correlation between Caps & T-Shirts. Bundling them captures missed cross-sell revenue.

GoalIncrease AOV
Proj. Lift+15% Rev
Timeline1 Week
AI Strategy Engine
Step 2: The Plan

Execution Roadmap

Don't guess how to fix it. Get a step-by-step checklist tailored to your Shopify store, from configuring new products to launching the email campaign.

Execution Plan

3 steps to capture revenue

Configure Product Bundle

Combine "Classic Cap" & "Logo T-Shirt".

Set Incentive Pricing

Price at $45 (10% discount) to drive volume.

Launch Campaign

Target "Champions" segment via email.

Step 3: The Logic

Market Basket Analysis

See the math behind the revenue. We process your transaction history to calculate Lift, Confidence, and Support, revealing which products customers naturally buy together.

Step 1: Raw Discovery
Association Rules
124 FOUND
If (Buy)
Then (Get)
AOV+
Lift
Conf.
Supp.
product
Classic Cap
product
Logo T-Shirt
+$12.5
4.2
68%
2.1%
product
Dark Roast
product
Ceramic Mug
+$4.2
2.1
45%
1.8%
product
Shampoo
product
Conditioner
+$8.5
1.5
32%
5.4%
product
Ankle Socks
product
Run Shoes
-$2.5
0.8
12%
4.5%
product
Yoga Mat
product
Water Bottle
+$5.0
1.2
28%
0.9%

119 more rules hidden

Step 4: The Audience

RFM Segmentation

Target with precision. We automatically group customers into 'Champions', 'At Risk', and 'Loyal' segments based on their purchase Recency, Frequency, and Monetary value.

Step 1: RFM Grouping

Champions

Highest Value

142
Avg Spent$2,450
Freq12.5x
Recency2d ago

At Risk

85

Hibernating

2.1k
Step 5: The Action

Platform-Ready Export

Move from analysis to action in seconds. Download pre-formatted CSV files compatible with Klaviyo, Omnisend, or HubSpot—no manual data cleanup required.

Export (85 Customers)
Download CSV for...
Klaviyo
Klaviyo
Omnisend
Omnisend
MailerLite
MailerLite
Mailchimp
Mailchimp
HubSpot
HubSpot
Raw Data CSV
Step 6: 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.

October

Recurring Optimization

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New Data Available

Syncing sales history...

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).
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