End-to-end analytics is a data collection system that accumulates information about all customer interactions with your company. calls to the call center, all applications and purchases. In foreign practice, instead of end-to-end analytics, the term Business Intelligence or BI systems is used. The main goal of end-to-end analytics is to provide the company with information for decision-making.
For example, this could be a decision on
Which promotion channels to choose or which creatives are nigeria phone number library the most successful. Ultimately, such a conscious choice increases the effectiveness of investments in marketing. An end-to-end analytics system does not necessarily have to be complex. It can be implemented as an Excel table with “manual” data entry. Or as special software that automatically “pulls” information from various sources and prepares visual reports.
The format for implementing end-to-end
Analytics depends only on the capabilities and goals of a specific business. End-to-end analytics primarily relies on data from your website’s web analytics cabinet and the company’s CRM: Web analytics dashboard is a platform for managing your online advertising and website, such as Yandex.Metrica or Google Analytics. CRM is a customer relationship management application that stores all information about customers and transactions.
Sometimes, using the end-to-end analytics service
They also combine warehouse and delivery service data, information about loyalty programs and other aspects of working with customers. End-to-end there should not only be a programmer analytics allows you to collect information about all customer actions in one place Example of end-to-end analytics Let’s say you launched contextual advertising in Yandex and placed a billboard near the metro. You used different phone numbers for different channels.
The budgets were the same
A week later, they decided to collect statistics: the number of snbd host impressions and clicks on the online ad, as well as the number of requests from the site, were looked up in Yandex.Metrica. Sales from requests from the Internet were found in CRM. There, they also took data on calls, requests, and sales from the billboard. Then they put everything together in one Excel table and analyzed it. It turned out that 10 clients came from the Internet and each made a purchase for 1,000 rubles. And only 5 people contacted from the billboard, their average check was 500 rubles. Given equal budgets, online advertising that leads to the site turned out to be four times more effective.