Nector Analytics Dashboard Overview

This document explains how to use the Nector analytics dashboard to review the performance of your loyalty, referral, and review programs. You will learn how to access key reports, apply date filters, and interpret order, customer, and coupon analytics to understand how Nector is influencing your revenue and customer behavior.

Step 1: Open Order Analytics from the Analytics Menu

From the Nector dashboard, go to the left-hand menu and navigate to the Analytics section.

Within Analytics, select Order Analytics to view your order-related performance metrics.

Step 2: Configure the Date Filter for Order Analytics

At the top of the Order Analytics page, locate the date filter.

Use this filter to:

• Select a pre-defined period (e.g., last 7 days, last 30 days).
• Apply a custom date range based on your analysis needs.

In this example, the filter is set to the last 7 days.

Step 3: Review High-Level Order and Revenue Metrics

Within the selected date range, review the following key metrics:

• Total Orders: The total number of orders synced directly from Shopify or your website.
• Total Revenue: The total revenue generated from all orders in the selected period.
• Nector Influenced Orders: Orders where Nector influenced the purchase (e.g., via coupons, loyalty points, Nector emails, or WhatsApp messages).
• Nector Influenced Revenue: Revenue generated from those Nector influenced orders.
• AOV (Average Order Value): Calculated as total revenue divided by total number of orders.
• Nector Contribution %: The percentage of total orders driven by Nector (e.g., 3% of total orders).

Below these metrics, use the day-by-day chart to understand trends in order volume over the selected period.

Step 4: Analyze Orders by Customer Tier, UTM Source, and Channel

Scroll down to explore more granular breakdowns:

• Orders by Tier:

View how many orders come from each loyalty tier (e.g., Beginner, Enthusiast, Deepam).

Example: Beginner – 1.3K orders, Enthusiast – 238 orders, Deepam – 88 orders.

• Orders by UTM Source:

See how orders are distributed across marketing sources such as Google, Facebook, Direct, or other UTM-tagged campaigns.

• Order Breakdown by Channel:

Understand the split between online and offline orders (or any other configured channels).

These sections help you identify which segments and sources are most effective in generating orders.

Step 5: Examine Nector Influenced Revenue by Source

Further down the Order Analytics page, review the Nector influenced revenue breakdown by different redemption or influence sources:

• Manual Redemption:

Orders where customers copied a coupon code (from Nector) and applied it manually at checkout.

You can see the number of manual redemptions day-by-day, along with a summary of total orders and revenue.

• Referral:

Total number of orders generated via referral activities within the selected timeframe.

• Points Redeemed at PDP or Cart Widget:

Orders where customers redeemed loyalty points directly on the Product Detail Page (PDP) or via the cart widget.

• Auto-Apply:

Orders where an auto-applied coupon was used at checkout.

• Redemption on GoQuick (or Other) Checkout:

If you use GoQuick or another custom checkout, see how many orders and how much revenue came from point/coupon redemptions on that specific checkout.

• Other Sources:

Orders originating from other Nector-driven sources, such as:

• • Referral links
  • UTM links generated by Nector
  • Any additional configured sources

This section helps you understand which Nector mechanisms are most effective in driving purchases.

Step 6: Open Customer Analytics and Review Tier Distribution

Next, move to the Customer Analytics section from the Analytics menu.

Here, analyze how your customers are distributed across different tiers:

• Example tier distribution:
• • Beginner: 401.6K customers
  • Enthusiast: 1.13K customers
  • Deepam: 1.7K customers

A corresponding graph visualizes this tier-wise distribution for easier comparison.

Step 7: Review Overall Point Credit and Debit Activity

Within Customer Analytics, go to the Point Expiry / Point Activity area to understand the movement of loyalty points:

• Total Points Credited:

Shows all points credited to customers within the selected timeframe, including points from orders that were later canceled.

• Total Points Debited:

Shows all points debited within the timeframe, including debits related to orders that were later canceled.

These high-level figures help you gauge the overall volume of points flowing through the system.

Step 8: Analyze Detailed Point Credits, Reversions, and Transactions

Next, look at the Point Credit in Detail section:

• Point Credit in Detail:

Displays only the actual, valid points credited to customers that have not been canceled.

• Points Reverted:

Shows points that were returned to a customer’s wallet when coupons were generated but not used within their validity period (e.g., a 7-day coupon that expired unused).

For each of these categories, you can also see:

• The number of transactions (how many times such events occurred).
• The total amount of points involved, often visualized in bar graphs.

This helps you understand how many points are being granted, reverted, and actively used.

Step 9: Analyze Detailed Point Debits, Expiry, and Adjustments

Move to the Point Debit in Detail section:

• Point Debit in Detail:

Shows the number of points actually debited from customer accounts (i.e., points used for redemptions).

• Customer Usage:

Displays how many customers have used these points, and the total volume debited (e.g., 323.6K points in the example scenario).

Additionally, review:

• Point Expired:

If you have configured point expiry, this shows how many points expired in the selected timeframe.

• Point Adjustment (Swap Coins):

Shows manual or system-driven adjustments made by the Nector team, often through the Swap Coins feature.

This is typically used when:

• • A customer has one phone number but multiple email accounts.
  • Nector consolidates or transfers points based on a unique identifier (e.g., lead ID) to keep the redemption journey smooth.

These insights help you track point utilization, expiries, and backend adjustments.

Step 10: Check Coupon Analytics and Download Data

Finally, open the Coupon Analytics section to understand coupon performance:

• View how many coupons were created in the selected timeframe.
• See how many coupons were availed/redeemed by customers.
• Review the corresponding graphs that visualize coupon creation and redemption trends.

If you need an offline copy of your analytics:

• Use the Download Analytics option to export all the dashboard data (orders, customers, points, coupons, etc.) into an Excel sheet for further analysis or reporting.

Updated on: 22/12/2025