Checkout Analytics

1. Introduction

Blockify Analytics helps you understand how your checkout is performing and how Blockify impacts your store’s revenue. With real-time data on conversion, lost revenue, saved revenue, and upsell performance, you can optimize your checkout experience and maximize sales.

Activate Analytics

Before real data is collected, you need to activate Analytics.

How to activate

1. Go to Analytics.
2. Click Activate Analytics.
3. Data collection will start immediately

2. Availability by Plan

• Paid Plan: Full access to store data + Blockify performance metrics. Note: The Upsell data metrics - included Upsell Acceptance Rate, Revenue Uplift and Best Product Upsell is now available on Premium.
• Free: Access Analytics for the last 7 days only.

3. Analytics Sections

A. Checkout Overview (based on store data)

1. Conversion Rate – Percentage of checkouts completed vs started.
2. Lost Revenue – Total cart value of abandoned checkouts.
3. Average Order Value (AOV) – Average value per completed order.
4. Checkout Completion Time – Average time a customer spends to finish checkout.
5. Checkout Funnel – Step-by-step completion rate (e.g., Information → Shipping → Payment → Order).
6. Top Shipping/Payment Method

📌 Use Case: Identify where most customers drop off and optimize those checkout steps.

B. Blockify’s Performance (based on Blockify features in your store)

1. Checkout Validation – Total number of times validation rules were triggered.
2. Saved Revenue – The cart value protected by Blockify rules (e.g., blocked fraudulent or invalid checkouts).
3. Upsell Acceptance Rate – Percentage of customers who accepted a product offer.
4. Revenue Uplift – Additional revenue generated through accepted upsells.
5. Detailed Tables:

• Checkout Validation Breakdown – Performance of each rule you’ve set.
• Best Product Upsell – Top-performing upsell products

📌 Use Case: Measure the exact impact of Blockify on protecting your revenue and boosting sales.

4. Data Availability

• Refresh Rate: Data is updated in near real-time.
• Plans: Demo data shown for Free/Basic, full live data for Premium/Plus.

5. Tips & Best Practices

• Use Checkout Funnel to detect high-drop-off steps and optimize.
• Monitor Saved Revenue to ensure your rules are effective against fraud or invalid checkouts.
• Track Upsell Acceptance Rate to test different Product Offers.
• Compare AOV with Revenue Uplift to measure the true impact of upsells.

6. FAQ

Q: I’m on Free/Basic but see numbers in Analytics – are they real?

→ No, these are demo data to help you explore the feature. Upgrade to Premium or Plus for real data.

Updated on: 12/02/2026