Dear manager, director, owner, or simply an employee of a store operating on IdoSell.
You operate an online store and probably, like most online stores, you struggle with a quite large problem that you might not even be aware of. But thanks to the fact that you use the IdoSell platform, dealing with this can be simpler than ever before.
Let's start from the beginning, though: what problem am I actually talking about.
Okay.
It's not entirely simple to explain, which is why many people don't consider it a problem. And yet, it is.
It's a problem with analytics. Not with data. You have data, and probably more than you need. It's about utilizing that data. It's about a problem on three levels.
The first is the way you make decisions based on your data.
I can assume that when you really need a report, you either send a request to someone to create such a report, or you sit down yourself and piece something together that you hope will help you. After all, you have some data in your IdoSell panel, e.g., sales data, inventory data, or customer data. On the other hand, you have data on the effectiveness of marketing activities you invest in and website traffic data in the Google Analytics 4 panel. And data on ads and spending can be found in specific ad panels, e.g., Google Ads, Meta Ads, Ceneo, etc. Then there's sales via marketplaces or Allegro.
Or maybe you operate in more than one market, selling in Germany, Romania, the Czech Republic too? Isn't every such market coincidentally a separate Google Analytics account, a separate Google Ads account, and even separate store panels, different sales reports?
If you would like to see the full picture of your business, its health, all marketing expenses, and true information about sales, then this requires downloading and combining information from all these tools we listed.
Or you just look at a small fragment of reality and it works somehow.
The second level of this problem is advertising systems.
Marketing specialists have fewer and fewer opportunities to set how and where your ads are displayed. This is mostly decided by an algorithm now. And this algorithm needs the best possible data to operate. Stop with the excuse that half the money is wasted anyway. If the system gets correct information about user behavior, it will handle campaign optimization, and you will start earning from it. It's worth remembering here that it is still a human who decides on campaign division and the rules under which the system operates. The more accurate the data, e.g., about product popularity and effectiveness, the better we can manage ROAS bid settings.
The third problem is AI, which is being discussed in every possible context.
Everyone wants to use AI now. But practically every presentation also features the "garbage in, garbage out" slide. AI works on the data we feed it. But this data must be properly arranged and described. Prepared so that AI can work on it. Without this, let's not expect spectacular or even any results.
I admit that while writing this text, I feel like listing further: a fourth, fifth, sixth problem, but it doesn't make sense. If you manage an online store, you understand what I'm writing about.
You don't need data; you need one place where your data will be stored, organized, updated in real-time, and accessible both to you and the tools you use.
In short, you need a Data Warehouse.
Until recently, a complicated project, very time-consuming, requiring a team of specialists. You have to set up a cloud server, program connections between systems, organize data, and take care of the stability of the entire infrastructure. A lot of work, large budgets. An option unavailable to most stores.
But you have a store on IdoSell. And that changes a lot.
You have the opportunity to collect store data, Google Analytics 4 data, marketing data, and marketplace data (so practically everything you need) in one place, in your secure cloud project. Data can be updated in real-time, and you can have access to one full report containing all information at any time of the day or night.
This data can feed marketing systems. Your AI agents can operate on this data.
Without an IT department, without multi-month projects, without huge costs.
I know, it sounds unreal, it sounds like marketing, there must be a catch somewhere, and probably more than one.
Is there really?
Or maybe just check it out -> sign up for the webinar on reporting automation in e-commerce.
You don't have to use the opportunities you'll learn about. Maybe you don't need this. Maybe these problems don't affect you that much.
But as a person managing or working in e-commerce, you should know what solutions are available. Because ignorance is the worst.
Or maybe you'll find something that will allow you to strategically increase revenue and reduce costs, saving you many hours a week. Maybe you'll find a way for AI to finally bring real value to the company?
I know one thing: it's worth finding out for yourself.
Click the link, fill out the form, and come to the webinar. In the worst case, you'll learn what reporting automation means and how a data warehouse works. In the best case, you will transform your online store.
So?
See you there!

