Post by rakib1 on Feb 15, 2024 4:55:51 GMT
It is worth noting that the client segment is not very specific, but there is still some seasonality in sales. Demand for fishing products falls in January-February, and the peak increase in customer interest occurs in July-September. Dynamics of popularity for the topic “Fishing” over the year from Google “Fishing” over the year from Google Trends Content: What happened at the start The client already had a regular shopping campaign set up. It worked for a year and brought 43% of the income from transactions from the entire account. Regular Shopping Campaign Revenue Per Account Regular Shopping Campaign Revenue Per Account
The graph below shows how the trading campaign gradually gained sales momentum and USA Phone Number List how its dynamics grew and fell due to seasonality. Sales dynamics of a trading campaign Sales dynamics of a trading campaign This shopping campaign generated 49% of the entire account's traffic volume. Regular Shopping Campaign Traffic Per Account Regular Shopping Campaign Traffic Per Account And the return on advertising costs (ROAS) was 1034%. Purpose of the experiment
Although the regular campaign showed good results, we decided to conduct an experiment to evaluate the pros and cons of replacing a regular shopping campaign with a smart one. It was important to understand how long it takes to train smart campaigns and what result is obtained in the end - positive (in the form of income growth and ROAS), negative or neutral.
The graph below shows how the trading campaign gradually gained sales momentum and USA Phone Number List how its dynamics grew and fell due to seasonality. Sales dynamics of a trading campaign Sales dynamics of a trading campaign This shopping campaign generated 49% of the entire account's traffic volume. Regular Shopping Campaign Traffic Per Account Regular Shopping Campaign Traffic Per Account And the return on advertising costs (ROAS) was 1034%. Purpose of the experiment
Although the regular campaign showed good results, we decided to conduct an experiment to evaluate the pros and cons of replacing a regular shopping campaign with a smart one. It was important to understand how long it takes to train smart campaigns and what result is obtained in the end - positive (in the form of income growth and ROAS), negative or neutral.