Post by account_disabled on Jan 10, 2024 23:26:22 GMT -5
notion image Kakao Style video received the most traffic, followed by Carrot Market and Toss. There was no influx through Soca videos. You can do more with your funnel data We created a link using UTM parameters and analyzed the inflow path of users who came through the link. Today, we took a look at GA4 to see which channels brought in the most traffic, which search terms brought in the most organic traffic, which marketing campaigns, and which content brought in the most traffic.
In addition, you can use funnel data to perform various analyzes such as sales analysis and funnel analysis. I started using UTM parameters, but As I started doing marketing in earnest at Datarian, I started using UTM para Whatsapp Number List meters to view inflow channel data. Now you can see your funnel in Google Analytics (GA)! notion image “Ah, now I can analyze inflow channel data!” I was excited, but after a few months, I realized that it wasn't just about writing. As the number of UTM parameters increased, I decided to separate them by source. No one knew at the time how big this would become.
with a light heart. Sunmi decided to organize UTM sheets with a light heart. But things are getting bigger... But things are getting bigger... Seonmi discovered a problem while organizing the UTM sheets. She couldn't decide how to distinguish between source and medium values, so she couldn't analyze them in the same hierarchy. Because it was not clear what role each parameter would play, there were times when UTM parameters created by the same person were different. Additionally, each person creating UTM was creating it slightly differently.
In addition, you can use funnel data to perform various analyzes such as sales analysis and funnel analysis. I started using UTM parameters, but As I started doing marketing in earnest at Datarian, I started using UTM para Whatsapp Number List meters to view inflow channel data. Now you can see your funnel in Google Analytics (GA)! notion image “Ah, now I can analyze inflow channel data!” I was excited, but after a few months, I realized that it wasn't just about writing. As the number of UTM parameters increased, I decided to separate them by source. No one knew at the time how big this would become.
with a light heart. Sunmi decided to organize UTM sheets with a light heart. But things are getting bigger... But things are getting bigger... Seonmi discovered a problem while organizing the UTM sheets. She couldn't decide how to distinguish between source and medium values, so she couldn't analyze them in the same hierarchy. Because it was not clear what role each parameter would play, there were times when UTM parameters created by the same person were different. Additionally, each person creating UTM was creating it slightly differently.