Post by account_disabled on Jan 11, 2024 4:26:01 GMT
So why can’t we collect funnel data automatically? 2. Use user behavior data analysis tools If you use a user behavior data analysis tool like GA4, it will automatically save the inflow path even if the user does not remember it directly. You can find out how to check funnel data using GA4 in the article UTM parameters (3) Checking funnel data in GA4 . GA4 Reports > New Users by First User Source: You can see data on the number of new users by channel. GA4 Reports > New Users by First User Source: You can see data on the number of new users by channel.
Even if you collect funnel data automatically, problems remain. Wow, problem solved! Is that really the case? Let's say there is a user who saw an Instagram ad as shown below and immediately applied for the SQL data an Whatsapp Number List alysis camp. Watch ads on Instagram Watch ads on Instagram Click the learn more button on the ad and land on the package page. Click the learn more button on the ad and land on the package page. Click the Apply button and fill out the application form Click the Apply button and fill out the application form We can say that Instagram ads contributed 100% to this user's application. notion image However, not all users discover our service just once and apply right away.
and exposed to our various marketing channels and materials several times before applying. The more times you are exposed, the more likely you are to apply. So, let's consider a case where you watch an ad on YouTube, read a blog post, then see the ad again and apply. notion image In this case, which channel should we consider to have applied under the influence? Can I say that I applied because of the Instagram ad I clicked on last? notion image Or should I say that each stage was equally affected by 25%? notion image Let's say the first time I watched YouTube was a year ago, and the last time I saw ads, blogs, and ads again was within the past week.
Even if you collect funnel data automatically, problems remain. Wow, problem solved! Is that really the case? Let's say there is a user who saw an Instagram ad as shown below and immediately applied for the SQL data an Whatsapp Number List alysis camp. Watch ads on Instagram Watch ads on Instagram Click the learn more button on the ad and land on the package page. Click the learn more button on the ad and land on the package page. Click the Apply button and fill out the application form Click the Apply button and fill out the application form We can say that Instagram ads contributed 100% to this user's application. notion image However, not all users discover our service just once and apply right away.
and exposed to our various marketing channels and materials several times before applying. The more times you are exposed, the more likely you are to apply. So, let's consider a case where you watch an ad on YouTube, read a blog post, then see the ad again and apply. notion image In this case, which channel should we consider to have applied under the influence? Can I say that I applied because of the Instagram ad I clicked on last? notion image Or should I say that each stage was equally affected by 25%? notion image Let's say the first time I watched YouTube was a year ago, and the last time I saw ads, blogs, and ads again was within the past week.