Your advertising platforms may tell you which campaign acquires customers at the best price, but they know nothing about the quality of those customers.
Imagine that campaign A brings you customers for $50 each, and campaign B brings you customers for $60 each. What if we told you that the LTV of campaign A's customers is only $100, while campaign B's is $200. Which campaign would you spend more money on? So stop flying blind; let's take a look at your Best Campaigns.
Definitions
With the help of our Best Campaigns report, you are able to gain exactly these insights. You’ll uncover which marketing campaigns attract the best - instead of the cheapest - customers.
Your UTM campaign tags form the basis for linking the performance of your marketing campaigns with all purchases of your customers. This will allow you to understand your customers’ marketing journey from start to finish.
In addition, don’t forget to connect your advertising platforms with RetentionX to enrich this report with key metrics, such as Ad Spend, Impressions, and Clicks. All metrics or calculations that use this data are marked with the icon of the respective advertising platform.
But before you dive into data analysis, let's ensure that we are on the same page with some definitions. You can evaluate the performance of your campaigns based on the following metrics:
Campaign |
Name of the marketing campaign that is specified in the UTM Campaign parameter. |
Purchases |
Number of orders resulting from the marketing campaign (based on UTM parameter tracking). |
Conversions |
Number of conversions tracked by the advertising platform (based on the their attribution model). |
Attribution Rate |
The share of conversions reported by the advertising platform, that is also tracked via the UTM parameters. |
New Customer Share |
Share of new customers out of all conversions. |
LTV |
Average current Lifetime Value of your new customers acquired via the channel, calculated by Sum of Net Revenue - COGS. In addition, we calculate the average LTV of your new customers after their first 30 days, 90 days, 1 year, 2 years, and 5 years. |
CAC |
Customer Acquisition Costs calculated by |
Payback Period |
The number of months it takes for LTV to be equal to CAC. |
Ad Spend | Ad Spend reported by the advertising platform. |
Impressions |
The number of users who have seen the ad; reported by the advertising platform |
Clicks |
The number of times the ad is clicked; reported by the advertising platform |
Click-Through Rate |
The number of clicks you receive on your ad per number of impressions; reported by the advertising platform |
Conversion Rate |
The number of conversions per number of clicks |
AOV |
The Average Order Value of customers acquired via a channel |
Product Return Rate |
The average percentage of products returned that were from orders placed through this channel |
Gross Revenue |
Purchases * AOV |
Net Revenue |
Purchases * Net AOV |
ROAS |
Return on Ad Spend calculated by LTV / CAC. In addition, we calculate the ROAS of your channels after the first 30 days, 90 days, 1 year, 2 years, and 5 years. |
LTV calculations are based on actuals. For incomplete data sets, you can include our powerful predictions by adding the add-on Forecast Plus to your plan.
Attribution Model
Typically, a user does not convert immediately after just one interaction with your campaigns, but has multiple touch points. For example, a prospect is targeted on Instagram, but clicks on the campaign without placing an order right away. Later, he returns to your store through an e-mail campaign and ultimately makes a purchase. Which marketing channel then gets the credit after the customer converts?
That’s where marketing attribution models comes in. Different attribution models factor in the customer journey's various touch points, so you’ll have an objective view of which marketing channels led to the most conversions.
- First Click: Conversions are attributed to the first click/campaign that the customer interacted with.
- Last Click: Conversions are attributed to the last click/campaign that the customer interacted with.
Use Cases
When we observe the recent developments around iOS 14, it should be clear that we all must rely more on our own data sovereignty.
With RetentionX you can measure the quality of resulting customers for each campaign by comparing the LTV and CAC of each one. Based on this you can dynamically adjust your budget to the quality of your customers and scale your best campaigns.
Data Needed
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Most important: UTM parameters
- Marketing Campaign Journey
- Marketing First Click Date
- Marketing Last Click Date
- Customer ID
- Order Number
- Order Date
- VAT
- Discounts
- Shipping Revenue
- Stock Keeping Unit (SKU)
- Items Sold
- Item Price
- Cost of Goods Sold
- Product Returns
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