What can go wrong and how to avoid it
Posted: Sat Apr 19, 2025 7:13 am
Inconsistency between the tasks of the end-to-end analytics system and the company's business processes. If you do not think through and take into account all the details of working with applications, for example, how to process them at night and on weekends, do not take into account leads from chat bots or the principle of processing orders on the last day of the month, then the analytical reports will be incorrect.
How to avoid. Together with key employees, clarify and describe in detail the actual process of application movement, identify blind spots. For the technical specification for the development of the system, it is important to take into account all the features and conditions of your company's work.
Step 4: Understand the connections with other tools
End-to-end analytics combines data from various channels in one interface: advertising systems, web analytics, call tracking, CRM, and others. At the same time, each of them is an independent tool with its own capabilities.
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For example, advertising campaign statistics only provide the number of bc data impressions, CTR, CPC, etc. Here you can influence clickability and cost per click, but you won’t be able to understand how this affects sales. And if you add website analytics, you can see what people are looking for — collect data on ads and delete those that don’t generate leads.
End-to-end analytics pulls data on work with clients, closed deals and order amounts from the CRM. In order not to create deals manually after each request, call tracking is integrated into the system - and all deals and tasks are formed automatically after contact, and the client's data is immediately entered into the database.
Below is an example of the statuses and history of leads in a CRM system.
How to avoid. Together with key employees, clarify and describe in detail the actual process of application movement, identify blind spots. For the technical specification for the development of the system, it is important to take into account all the features and conditions of your company's work.
Step 4: Understand the connections with other tools
End-to-end analytics combines data from various channels in one interface: advertising systems, web analytics, call tracking, CRM, and others. At the same time, each of them is an independent tool with its own capabilities.
Photo
For example, advertising campaign statistics only provide the number of bc data impressions, CTR, CPC, etc. Here you can influence clickability and cost per click, but you won’t be able to understand how this affects sales. And if you add website analytics, you can see what people are looking for — collect data on ads and delete those that don’t generate leads.
End-to-end analytics pulls data on work with clients, closed deals and order amounts from the CRM. In order not to create deals manually after each request, call tracking is integrated into the system - and all deals and tasks are formed automatically after contact, and the client's data is immediately entered into the database.
Below is an example of the statuses and history of leads in a CRM system.