July 21, 2020:
We’ve been diving into automation of Performance Marketing Analysis with our integration with Google Ads and Facebook Ads. We automated the measurements of CAC and CPA across different networks, attribution windows, campaigns, segments, etc. with the ultimate goal of plotting it against LTV (coming soon). For example, we automate Customer CAC by Marketing Source with 60-day attribution so you can easily see which channel (Facebook Ads or Google Adwords) are better at driving customers and converting them. You can toggle the attribution windows to fit your business behavior.
To receive this analysis + forthcoming , connect your ad network data sources by navigating to your Study.
Compare revenue metrics side by side. You can now compare all the Revenue metrics like Sales, New sales, Transactional revenue, Recurring revenue, etc to one another in the same view, so you don’t have to jump back and forth between individual views.
Explore customer cohorts in their dedicated views. We have reorganized the metrics that lived on the Customer Dashboard into their own standalone pages so you can explore all their historical data and their segments without being stuck on a large dashboard. These new views allow you to see more details and to easily share findings with your team.
All the filters and controls in one place. The new interface on the metrics views strips away all the clutter of the previous view and helps you focus on seeing all the available data to segment and compare. From various layout fixes to better handling of time period grouping, to clearing empty values, to easily showing you the top segments, to adding better documentation popups, to cleaning the interface of not useful information, to performance improvements to improve page speed we hope this gives Peel more flexibility to highlight the helpful analyses to you.
New top values. We are constantly working to highlight the customer segments telling the most important stories for your business. This week, we have cleaned up the Segment values dropdown by removing all the empty segments and populating the top segments in the dropdown. We also refined the definition of “top values” to make it easier to navigate through each segment. Curious to know what discount codes or products have the most data? Just segment any of the metrics and Peel will populate the top values in the list so you don't have to search a behemoth list of values.
Shopify Tags. Peel now supports segmentation by Shopify Customer and Order tags. Note that we reload the tags daily for the orders and customers created in the previous day, but we are working on refreshing data for all customers and recent orders. FYI, if you make a change to your tags in Shopify, they should be reflected the next morning in Peel.
Attribution Sources from Customer journey.
Shopify keeps track of the first and last touch attribution for your customers. These values are more valuable than the ones on Google Analytics because they will be present for all paying customers. Peel is populating the attribution source captured on Shopify for first and last touch so you can identify the marketing channels that are helping conversions and what long-term value each one provides