Despite its shortcomings, this scheme (subject to further development) is well suited to industries where the main conversion from the site is calls. These are all classic services: construction, legal, consulting, etc. As a rule, such a business, where the user's path is simple and predictable, does not have many repeat orders. If we sell house construction, it is absolutely normal for a person to build a house once. He went through the chain from advertising to sale, and the lifetime value of the client (LTV) does not concern us much. In iran consumer email list such cases, the error of end-to-end analytics will be insignificant.
Cost: from 100,000 rubles.
The basic diagram is the foundation to start with if you are just thinking about end-to-end analytics . But don’t stop there. The following levels of development will help to eliminate the shortcomings of this diagram.
Level 2: Advanced end-to-end analytics
In most online stores and services with periodic payments, transactions are sent to CRM and online analytics systems in parallel, but ultimately live a separate life. When a logged-in user changes a device or browser, then in CRM it is the same person, but for Google Analytics and Yandex.Metrica it is already another person, because the Client ID has changed. Information about sales made by phone, in this case, also does not get into online analytics systems, since only data from the site is pulled there.
This is how a communication gap arises between the marketing analyst and the business. A classic situation: a client comes, we look at their e-commerce and say: "Buddy, you're making 20 million." And in response we hear: "But I'm making 15!" or "I'm making 25!" And this is wrong.