Let's consider the implementation of end-to-end analytics using the example of our company AXIOMA. We linked the CRM system (in our case, it is amoCRM, but there are also others, such as Bitrix-24, Megaplan, etc.), site statistics data from Yandex. Metrica and GoogleAdwords, and SIP telephony to the service for organizing end-to-end analytics Roistat , which also includes a call tracking service.
An approximate table of costs for using the latest phone number database end-to-end analytics system for the AXIOMA company looks like this:
One-time implementation of the system, RUB. Rent of telephone numbers per month, RUB. Roistat (tariff "Start extended") per month, rub. amoCRM per month, RUB Telephone traffic per month, RUB.
from 30,000 to 60,000 1200 (4 numbers for 300 rubles) 8990 4995 4000
That is, the cost of a one-time implementation will be approximately 45,000 rubles, and the approximate monthly costs will be about 19,000 rubles. But such expenses are justified, because investments in end-to-end analytics paid off due to the competent distribution of the advertising budget.

Good specialists are needed to implement this scheme. In the future, user work will not be difficult. Also important is the presence of CRM, or rather the ability of employees to use it and not forget to enter data into it. Without using CRM, setting up end-to-end analytics will not give a complete picture of what is happening in the sales department.
Why is end-to-end analytics gaining so much popularity?
Firstly, we see from our example that it is profitable. According to statistics, AXIOMA saved 30-40% of the advertising budget, and we not only retained the number of new clients, but even increased their number by 15-30%.
Secondly, we are already moving towards marketing automation, where marketers are starting to work with large volumes of data, combining it from various sources and automating workflows. Also, the unification of the marketing and sales departments into an inseparable system is not far off. This is absolutely inevitable, and the sooner we start introducing end-to-end analytics, the faster and easier it will be for us to work in the future.
Content
Introduction
Options for analyzing the effectiveness of advertising channels
Benefits of end-to-end analytics
Who is end-to-end analytics suitable for and how much might it cost?
Why is end-to-end analytics gaining so much popularity?
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