LTV Forecasting


Feature In Beta

This is a new Feature and is currently in Beta. We highly encourage any feedback as you use this so we can improve our LTV forecasting!

How LTV Forecasting Grows Revenues (VIDEO DEMO)

Read this guide to understand how the forecasting metrics work.

What does this help me with?

LTV Forecasting will allow you to drill down by source and then using all of your historical data, will give you a forecast into the potential LTV within a 1, 3 and 6 month period per source based on either brand new customers only or all customers, including returning ones.

Use this if you’d like to answer questions such as:

  • “How much can I expect to actually make from this source in the longer term?”
  • “How much should my cost per customer be to make a profit within a 1/3/6 month period?”
  • “How much should my cost per sale be to make a profit within a 1/3/6 month period?”

How does this work?

Using your historical data, Hyros will make a prediction based on the products purchased after the attributing source click to show you how much on average lead’s who purchase similar products will spend in 30/60/90 days after.

The calculation will vary based on the forecasting option chosen in your reports:

First Sale

First sale forecasting is, using historical data, going to calculate the all the new/unique customers and then will predict how much LTV these group of customers are likely to bring in over the specific time period.

Use this to understand how much you can spend per new customer to make a profit over the specific time period (30,60 or 90 days). This will allow you to scale more aggressively based on that data rather than just the sales that occured over the date range of the report.

Total Sales

Where as first sale LTV Forecasting is specifically looking at your brand new customers who purchased for the very first time, total sales will narrow down the search even further. This setting will look at the customers in your report, and look for prior customers who share the same very first 3 sales, and in the exact same order.

This differs from “first sale”, which looks for previous customers who purchased the very same first sale only and created a prediction based on those customers. Total sales will instead create a prediction based on prior customers who purchased the very same first 3 sales.

Use this to get a prediction based on more specific customer journeys. Although this may make predictions even more accurate, you need a lot more data to ensure this works correctly.

How are these Sales Attributed

The sales and forecasted LTV are attributed to the source based on the attribution mode selected.

For example if you load a report in last click mode, then we will calculate the LTV forecast based on the products attributed to the source in last click mode. This differs from our standard LTV reports where LTV is always shown based on first click.

Importing Previous Sales To Get a More Accurate Forecast

You can also import sales for the past year from Stripe and Shopify if you’ve just joined Hyros in order to assist with Forecasting and LTV reports.

Please take in mind however that these reports will not be attributed to a source, so when looking at sources

Which Reports are forecasting Metrics Available

Forecasting metrics should be available in all standard report types, such as:

  • Last click
  • Scientific
  • First click