Before you start creating or testing things with Filters in Google Analytics, it’s important to take some steps to keep your data safe.
What’s the danger?
Whenever you make changes to your GA settings for things like Goals, Filters, Content Groupings etc. — all the things I describe in my articles — the changes to your data are permanent. You need a backup without any of these changes, just in case you get something wrong…
Like accidentally creating a filter that removes ALL your traffic and you don’t notice for a week… right during a big ad campaign!
A Testing area takes it one step further to let you test out these settings first, then apply them to your main set of data only when you’re sure they’re working correctly. It’s up to you to decide how risky you think a change is and whether you should test it out first.
How do we do this in Google Analytics?
In Analytics, you can have multiple ways of viewing the same data. These are called, appropriately, Views.
In this guide, we’ll create a backup “Raw Data” view to preserve everything with the default settings, and a “Test” view for trialing more complicated Filters before applying them to your main View (normally called “All Web Site Data”).
The website had been live for a month and it was all going downhill.
It didn’t start out like this. There were hundreds of hours poured into making everything just right and carefully crafted campaigns sending visitors every day. The first reports showed good revenue and a frankly fantastic sales conversion rate of 3%.
But the next time I looked, it was 2%. Then 1.5%. What was going wrong?
Well, nothing. It was exactly what I expected. But to a stressed-out business owner, these numbers looked terrifying. The site is failing!
Why would two people interpret such obviously bad results so differently?
Reading and understanding the numbers around your shop’s traffic is super important. If you can do this, you can better understand where you should focus your marketing, what parts of your shop could be improved, and make sure you’re seeing real benefits from all your promoting efforts.
(And we know promotion needs A LOT of effort!!)
There are two sources for this information: Etsy’s built-in Stats and Google Analytics (“Analytics” or just “GA”). They both have their pros and cons, so you’ll most likely continue to use both hand-in-hand to gauge your performance. But when should you use each one?
A few weeks ago, I visited the Etsy forums.
Did the hair stand up on the back of your neck?
Ok, so it’s not quite that scary in there. It’s just a lot of very passionate sellers who are trying to run a successful shop and are worried about changes to their platform that might make that harder.
And rightly so! It’s never nice to have the rug pulled out from under your feet.
So it didn’t surprise me one little bit to see the plethora of threads, discussions and yes – complaints – about the new Etsy Shop Stats that were released earlier this year. Sellers were talking about why the changes were made, the things they couldn’t find anymore, and the new numbers that didn’t make sense.
So what do I think? Should you be throwing in the Etsy-Shop-Stats towel or running back to it with open arms?
The smell of your morning coffee still lingers in the air as your daily task list looms.
Gotta answer those customer questions…
Better update those old product descriptions…
What about that new Instagram photo challenge?
Oh and making some beautiful things. You know – the whole reason your shop exists.
Thank goodness for that coffee!
It’s hard work running a small business, especially when your online shop needs so much marketing and promotion to keep making sales. Sometimes it feels like you do more “business” than “making”.
So what I’m about to suggest might sound a little scary. We’re going to go even deeper into “business”.
The level of strategy and KPIs.
Key performance indicators? Really??!
Don’t worry, these aren’t the “awkward closed-door meetings with your boss” kind of KPI. These are the kind that focus how you measure your shop’s performance and tell you when to have a celebratory drink.
If you don’t know what success should look like, how will you know when you get there? How will you know when to crack that champagne?!
You need to figure out what your “success metrics” are, first.