It is remarkable how many companies still rely on manually collecting, preparing and formatting data for reporting purposes. The disadvantages of such habits are no secret: it takes a lot of time and the risk for human errors is significant.
Data collection is one thing, visualization is another.
We’ve been waiting for few months but the wait is over today: Data Studio (beta) is finally available for Kiwi Analysts and Marketers. You can stop your VPN subscription now
Pumpkin Patch is a fashion retail chain based in Auckland, New Zealand that provides premium kids clothing ranges both in store and online. Over the years, Pumpkin Patch expanded into the AU, US and UK markets, initially with retail stores and mail order catalogues. More recently Pumpkin Patch has been driving growth in these markets through digital channels.
To sustain continued growth and expansion, this global brand needed help in developing a customer focused and data-driven approach to their digital marketing.
A beautiful Polly Luxe Trench, 30% off, for $99? Awesome! Buy Now!
My log in information? I’m a new customer. I’ll just check out as a guest.
No guest checkout? I just want that Trench, its winter! Never mind, I’ll just buy somewhere else.
Sounds familiar? We’ve all been there – a site asks for log in information and so we leave. But did you know that there are other factors that can give your customers a bad online checkout experience?
As part of my job, I’ve audited many Google Analytics implementations for small and large businesses, and despite the documentation and many resources out there, many issues are still not systematically tackled.
In this post, I share some of the biggest, and yet common mistakes in Google Analytics setup implementation and settings.