How To Be A Data-Driven Digital Marketer (Google Analytics)

Welcome to How To Be A Data-Driven Digital Marketer

we all know not all of our data is is just one place.
It’s really unfortunate but don’t worry.
Just make sure you’re doing your own due diligence in attributing each market initiative appropriately with your data.
I’ll guide you through it to know which metric goes where.
But just make sure your team is tracking everything as much as possible.
All of your campaigns and all the elements associated with it that the users can interact with after interacting with the display or whatever can’t hear any.
Hopefully then when your data is in place you’re ready to dive into it whenever you want.
Now I will have a week dedicated to each Marki initiative to show you what to look for in the data.
how to use it so pick and choose whatever you like to watch watch what’s applicable to you or watch all of them if you’re ambitious.
All go through the following topics.
I punched a couple together as they’re very similar in an analytics perspective.
But remember one key point each Marchini initiative is unique but in data you should focus on quality
traffic and conversion rate all across the board quality traffic and conversion rates.
With me quality traffic a conversion rate.
OK now you’re ready to dive into the media’s free e-mail pay per click or display CEO or the social media or content as well as at filia and influencers.
So remember quality traffic and conversion rates is the Commons.
Email marketing this is when you collect information to contact your consumers directly such as phone numbers emails.
Hence the title.
Maybe if you’re lucky you can get other customer information.
Then it’s your time to use the information and take advantage of it and start sending out emails.
But of course you need to watch out for subscribers.
You really need to know if you’re sending out good content that people will interact with.
And what better way than to look at the data.
There are three different types of data you can get related to e-mails.
We want to see if the receivers are behaving the way we want them to essentially.
were targeting the actual push would include how many people was the e-mail sent to.
What type of people were they subscribers were they new e-mails.
What was the timing. How did people get to the campaign.
All basic descriptions of the e-mails. Get your piece.
Audience and this is the foundation of your analysis where you use as a base of your contacts so if you create rates it’ll be the denominator.
ideas you could make the story even financier by giving out additional metrics.
A secondary axes anything that you didn’t really relate directly to the e-mail but you’re interested in so did they subscribe.
How many unsubscribe did they convert.
Inkley in order after an email open in the same visit.
These are all stages of an email campaign as you’re looking to see the reaction of the email push to assess whether it was a top quality campaign.
Again look for work composes quality traffic and do they cover.
What are the high level converting attributes.
This can range from the product they by that timing order and more is actually being user senses.
Like I said user spaces denominator and in the raw volume on top of Missippi action that you’re targeting.
So these are very key to showcasing the proportion of success despite higher low volumes and great for comparisons.
When you’re doing other email campaigns some e-mail marketing tools allow you to target specific audiences
then you can compare it against a total site traffic to see the proportion of success as well.
Things you should look out for though one manipulating the data is a proportion analogous to the larger Does it stay consistent.
For instance if there’s an average 40 percent open rate for a hundred percent audience e-mail campaigns.
But when you target it to stay at home moms it’s 16 percent open rate that showcases a huge opportunity with scale.
Home Moms to continue targeting the same home market and do more personalized email campaigns for them.
You can then continue to develop a conversion rate from that group.
So if you have more analytics for example or any other web analytics tool you would need to see the
refereing traffic attributed to email and see if they ever reached the order page in the same business.
This means the email directly influenced the order since they ordered something in that office.
If you expand it the entire user journey meaning if it came from an e-mail but didn’t order until the visit that could count as a conversion rate.
They need to think about it. thanks

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Instructor Name:  Elizabeth Tran

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