Retina Go!

Retina Go! is a free tool for quickly predicting the lifetime value (LTV) of your customers. With this information, your business can strategically target new customers based on their expected future value. Retina clients using this approach have reduced customer acquisition costs by up to 25%.

* If you have a Shopify store, you can install the Retina Shopify App to automatically load your store orders into Retina Go!

Retina Go Steps:

Fill out this form (3 mins)
Confirm your email and upload a CSV of order data (5-30 mins)
Retina processes 30k sample customers (90 mins)
Receive an email with the results of our CLV analysis and a link to customer-level data generated by our model (2 mins)
(Optional) Create a Facebook custom audience using Retina data and start reducing your acquisition costs! (20 mins)

By clicking "Get Started" you affirm that you agree to the Retina Go! Terms of Service and have read and agreed to our Privacy Policy

Let's start with your email

Your results will be sent to the address you provide. You will be asked to confirm your email address at the end of the form.

It looks like your data may not be the best fit for Retina's CLV algorithms at this time.

In order to receive results from our predictive customer lifetime value analysis, your data must meet Retina's minimum requirements for time frame and number of customers, as well as include some type of repeat purchasing behavior.

Please feel free to reach out to us at info@retina.ai to discuss other ways we can create value for you.

Retina Go!

Let's get you started with Retina to quickly model and predict Customer Lifetime Value for your customers. The entire process should take less than two hours.

Retina Go! is a free tool for quickly predicting the lifetime value (LTV) of your customers. With this information, your business can strategically target new customers based on their expected future value. Retina clients using this approach have reduced customer acquisition costs by up to 25%.

Retina Go Steps:

Let's start with your email

First Name

Last Name

Name of Your Organization

Professional Title

Best Phone Number to Reach You

Which of the following best describes your business?

About how many customers do you have?

How long ago was the first order/transaction in your data? That is, how old is this business?

Do your customers subscribe to your product/service?

Are majority of your customers one-time buyers? That is, do they usually make one purchase and never return?

It looks like your data may not be the best fit for Retina's CLV algorithms at this time.