Online Store Customer Journey Funnel
What is Online Store Customer Journey Funnel?
The Purpose Behind Online Web Analytics
Understanding why customers drop off mid-purchase is crucial for optimizing conversions. Where exactly is the issue? What does the customer journey reveal? Here are the key problem areas that lead to drop-offs:
Cart Abandonment Happens Due to Uncertainty – Lack of product details, no urgency, or better deals elsewhere make customers hesitate and leave.
Pricing & Shipping Barriers Cause Drop-Offs – Unexpected fees, high shipping costs, or missing discounts break trust, while the lack of local pricing or preferred payment options makes checkout payment gateways inconvenient.
Poor User Experience Drives Customers Away – Too many pop-ups, confusing navigation, and slow-loading pages create frustration, leading to drop-offs.
Checkout & Trust Barriers Cause Drop-Offs – Forced account creation, lengthy forms, and limited payment options slow the buying process. In contrast, glitches and a lack of trust signals (secure payments, return policies) make customers hesitate.
Lack of Information Causes Customer Hesitation – When customers hover over products but don’t proceed, it signals missing details and unclear descriptions.
Tracking the customer journey helps store owners identify gaps, enhance product pages, and build trust, ultimately driving more conversions.
From First Visit to Checkout: Every Step Tracked
A new session is automatically initiated, tracking their navigation and behavior.
2. Subscriber
Subscriber Tracking – Whether visitors opt through push notifications or newsletter popups, every event counts, giving you a complete picture of your audience.
Seamless Visitor Identification – When visitors log in, their session updates from Unknown to Known, enabling personalized tracking, enhanced customer insights, and targeted engagement.
3. Add to Cart Tracking
A dedicated box displays users who have added items to their cart. Every time a visitor, whether known or unknown, adds an item to the cart, the activity is recorded, offering valuable insights into purchase intent.
4. Checkout Process Tracking
Checkout Tracking – Displays the number of customers who have added items to their cart and proceeded to checkout, providing insights into purchase intent and conversion trends, and also understanding if there is any bottleneck in conversion.
Real-Time Order Progress Monitoring – Tracks visitor activity on the checkout page, including payment entry, to analyze drop-off rates and ensure seamless order tracking, and payment gateway-related problems.
5. Total Orders Placed
Displays the total number of completed orders. Once a visitor finalizes a purchase, the system updates their journey, offering key insights for analytics and retention strategies.
Drive Sales with Data, Personalze Customer experience
- Spot & Fix Drop-Off Points – Identify what’s stopping customers—unclear details, hidden costs, or a tricky checkout—and optimize the journey to keep them engaged.
- Bring Customers Back with Smart Reminders – Use insights to send personalized emails and push notifications, reminding customers about their abandoned carts or suggesting products they showed interest in.
- Personalized Shopping Made Easy – Segment customers by behavior and send tailored offers, recommendations, and discounts to drive purchases.
- Seamless Checkout, Zero Hassle – Simplify steps, offer flexible payments, and trigger smart pop-ups to guide customers back to complete their purchase.
Note: The Customer Journey Funnel will not sync previous data, it will only sync data of the customers after it is enabled.
How to enable the Online Store Customer Journey Funnel?
2 .) If you have installed AiTrillion before 15th/March/2025 you need to allow additional permission. Follow the below steps to enable the customer journey funnel -:
How to sync the Online Store Customer Journey Funnel?
Customer Journey Metrics
1.) If you visit multiple times in a day, it will be counted as one session. However, if you use incognito mode, it will be counted as a new session.
2.) If you visit the website next day, it will be counted as a new session
Conversion Percentage: This indicates the percentage of visitors who placed an order after visiting the online store. It analyzes the data based on the total number of sessions and orders placed.
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