Flippa Integrations. Trusted data from the source.

Summary:

At Flippa, we want to ensure we are enabling trust on both sides of the marketplace. We have a collection of integrations that gather data directly from the source to be displayed on a listing.

We integrate with 

Google Analytics Shopify  AdMob  AdSense
WooCommerce  Stripe Amazon BigCommerce
Lazada eBay Square PayPal
Shopee Magento  QuickBooks  

 

Google Analytics

On a listing integrated with Google Analytics, we display:  Users, 

  • Page Views, 
  • Pages / Sessions, 
  • Avg. Session Duration and 
  • Bounce Rate. 

We are able to connect to both GA 3 and GA 4 configure sites and with a valid connection will automatically pull in updated numbers at the end of each month. 

 

Shopify 

On a listing integrated with Shopify, we display:  

  • Average order value, 
  • Average items per order, 
  • Fulfillment rate, 
  • Refund rate, and 
  • Subscribed to the email list

All data is shown for the given period displayed on the listing component and will be updated at the end of each month. 

Note for Sellers that connecting to Shopify can only happen once a listing has been paid for and is live. 

More details here

 

AdMob 

On a listing integrated with AdMob, we display:  

  • Est. Earnings, 
  • eCPM, and 
  • Impressions for the last year when you connect. 

More details here

 

AdSense

On a listing integrated with AdSense, we display

  • Monthly AdSense revenue alongside a Seller's reported monthly revenue. 

There can be a variance between reported numbers and those pulled in by AdSense if the online business has multiple revenue streams. 

 

WooCommerce

On a listing integrated with WooCommerce, we display

  • Orders, 
  • Customers, 
  • Average Order Value (AOV), 
  • Refund Rate, and 
  • Top Selling Products on a listing with this integration 

More details here

 

Stripe

On a listing integrated with Stripe, we display

For eCommerce businesses, 

  • Orders, 
  • Customers, 
  • Average Order Value (AOV), 
  • and Refund Rate. 

For SaaS businesses,  

  • Monthly Recurring Revenue (MRR), 
  • Churn, and 
  • Customer Lifetime Value (LTV). 

More details here

 

Amazon

On a listing integrated with Amazon, we display: 

  • Line chart presenting the monthly revenue of the last 12 months
  • Orders (Total orders placed in the last 12 months)
  • Customers (Average unique customers per month who placed an order)
  • Average Order Value (Total revenue divided by the total number of orders)
  • Refund Rate (Refunded orders divided by the total number of orders)

Data is updated at the end of each month. 

The time to sync data from your Amazon is determined by the size of the Amazon account.  It can take anywhere from 1 - 2 hours or up to 12 hours.     

 

 

BigCommerce

On a listing integrated with BigCommerce, we display: 

  • Line chart presenting the monthly revenue of the last 12 months
  • Orders (Total orders placed in the last 12 months)
  • Customers (Average unique customers per month who placed an order)
  • Average Order Value (Total revenue divided by the total number of orders)
  • Refund Rate (Refunded orders divided by the total number of orders)

Data is updated at the end of each month. 

 

Lazada

On a listing integrated with Lazada, we display: 

  • Line chart presenting the monthly revenue of the last 12 months
  • Orders (Total orders placed in the last 12 months)
  • Customers (Average unique customers per month who placed an order)
  • Average Order Value (Total revenue divided by the total number of orders)
  • Refund Rate (Refunded orders divided by the total number of orders)

Data is updated at the end of each month. 

 

eBay

On a listing integrated with eBay, we display: 

  • Line chart presenting the monthly revenue of the last 3 months
  • Orders (Total orders placed in the last 3 months)
  • Customers (Average unique customers per month who placed an order)
  • Average Order Value (Total revenue divided by the total number of orders)
  • Refund Rate (Refunded orders divided by the total number of orders)

Data is updated at the end of each month. 

 

Square

On a listing integrated with Square, we display: 

  • Line chart presenting the monthly revenue of the last 12 months
  • Orders (Total orders placed in the last 12 months)
  • Customers (Average unique customers per month who placed an order)
  • Average Order Value (Total revenue divided by the total number of orders)
  • Refund Rate (Refunded orders divided by the total number of orders)

Data is updated at the end of each month. 

 

PayPal

On a listing integrated with PayPal, we display: 

  • Line chart presenting the monthly revenue of the last 12 months

Data is updated at the end of each month. 

 

Shopee

On a listing integrated with Shopee, we display: 

  • Line chart presenting the monthly revenue of the last 12 months
  • Orders (Total orders placed in the last 12 months)
  • Customers (Average unique customers per month who placed an order)
  • Average Order Value (Total revenue divided by the total number of orders)
  • Refund Rate (Refunded orders divided by the total number of orders)

Data is updated at the end of each month. 

 

Magento

On a listing integrated with Magento, we display: 

  • Line chart presenting the monthly revenue of the last 12 months
  • Orders (Total orders placed in the last 12 months)
  • Customers (Average unique customers per month who placed an order)
  • Average Order Value (Total revenue divided by the total number of orders)
  • Refund Rate (Refunded orders divided by the total number of orders)

Data is updated at the end of each month. 







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