Monthly LTV Numbers Analysis

Last updated 2 years ago

In the Journey Dashboard, do these:

Select a 30 day date range to analyze how new customers converted into backend buyers
Use product and funnel breakdowns to see these stats in more detail
Optional - Select previous months to analyze the backend buying behavior of customers acquired in that month
Optional - Extend the date range to the last 90 days to analyze longer-term trends
Next step: Assess how well new customers are being converted into returning customers. Monitor this over time to track the effectiveness of your backend marketing efforts.

In the Analysis Page, do these:

Analyze customer lifetime value
Use filters and breakdowns to refine the analysis for whatever’s important to you
Optional - Select previous months to analyze the LTV of customers acquired in that month
Optional - Extend the date range to the last 90 days to analyze longer-term trends
Next step: Use the LTV data to adjust CPA targets for paid acquisition channels and track the effectiveness of your backend marketing efforts. Use this to identify the highest and lowest quality sales channels to identify where spend can be scaled up or down.
- Sales channels could be traffic channels, funnels, products, etc. that you’re sending your customers to.

In the Path Analysis Page, do these:

Analyze the customer journey or journeys that you’re actively focusing on
- E.g. If you’re focused on the acquiring customers through one particular platform, funnel, product, traffic source (UTM value), or affiliate, perform a Path Analysis on that
If you have multiple areas of focus, perform path analysis for each
For each path analysis, remember that you can break down the backend for detailed insights into what is being purchased and when. (Using a product backend breakdown is usually the easiest way to do this.)
Next step: Use the backend sales data to figure out what your customers are buying next after they’ve bought the first product. Use this information to refine and optimize your customer journey and identify areas of opportunity.

In the People Page, do these:

Identify your most valuable customers
Use the Customer Page to filter your customers based on LTV
Export your highest LTV customers then upload it into your ad platforms to create up-to-date lookalike audiences and to your email platforms for list segmentation.
- We recommend setting your LTV as high as possible while still maintaining a size of ~1,000 customers for your csv export
Next step: Use these lookalike audiences and list segments to improve the effectiveness of your marketing.

Last updated 2 years ago

In the Journey Dashboard, do these:

Select a 30 day date range to analyze how new customers converted into backend buyers
Use product and funnel breakdowns to see these stats in more detail
Optional - Select previous months to analyze the backend buying behavior of customers acquired in that month
Optional - Extend the date range to the last 90 days to analyze longer-term trends
Next step: Assess how well new customers are being converted into returning customers. Monitor this over time to track the effectiveness of your backend marketing efforts.
Refer to the .

In the Analysis Page, do these:

Analyze customer lifetime value
Use filters and breakdowns to refine the analysis for whatever’s important to you
Optional - Select previous months to analyze the LTV of customers acquired in that month
Optional - Extend the date range to the last 90 days to analyze longer-term trends
Next step: Use the LTV data to adjust CPA targets for paid acquisition channels and track the effectiveness of your backend marketing efforts. Use this to identify the highest and lowest quality sales channels to identify where spend can be scaled up or down.
- Sales channels could be traffic channels, funnels, products, etc. that you’re sending your customers to.
Refer to the .

In the Path Analysis Page, do these:

Analyze the customer journey or journeys that you’re actively focusing on
- E.g. If you’re focused on the acquiring customers through one particular platform, funnel, product, traffic source (UTM value), or affiliate, perform a Path Analysis on that
If you have multiple areas of focus, perform path analysis for each
For each path analysis, remember that you can break down the backend for detailed insights into what is being purchased and when. (Using a product backend breakdown is usually the easiest way to do this.)
Next step: Use the backend sales data to figure out what your customers are buying next after they’ve bought the first product. Use this information to refine and optimize your customer journey and identify areas of opportunity.
Refer to the .

In the People Page, do these:

Identify your most valuable customers
Use the Customer Page to filter your customers based on LTV
Export your highest LTV customers then upload it into your ad platforms to create up-to-date lookalike audiences and to your email platforms for list segmentation.
- We recommend setting your LTV as high as possible while still maintaining a size of ~1,000 customers for your csv export
Next step: Use these lookalike audiences and list segments to improve the effectiveness of your marketing.
Refer to the .