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First, let's look at the types of conversions that should be passed:

Posted: Sun Jan 19, 2025 7:08 am
by hasibaakterss3309
These queries will be performed by people who are at different levels of readiness to buy a camera. You need to understand which groups of queries will trigger ads.

The problem is that if you avoid the first mistake, each group of requests requires a specific amount of work. Setting up for a specific group is simpler and cheaper. In sudan company email list addition, you are unlikely to be given a guarantee that the contractor will set up for all groups, and is it really necessary?

Therefore, it is necessary to coordinate all groups of requests with the performer in advance. Thanks to this, you will receive the following opportunities:

upon acceptance, check whether all groups of requests have been processed;
understand where there is coverage and where there isn’t, and where you can move.
Of course, a competent and responsible contractor will offer to do all this himself. However, is it worth mentioning that not everyone does their job well?

Error three: no possibility of optimization
The contractor does not always think through how to optimize and analyze advertising campaigns in the future. Conversions are not properly recorded and all statistics are collected from scratch when analysis is required.



Online Conversions
Online conversions are transmitted when at the time of conversion we know the required data for analytics, i.e. the price and the fact of the transaction.

Let's say you own an online store where orders are placed through the website. In this case, when paying for an order, we know all the parameters. Here it will be enough to set up e-commerce.

Offline conversions
Not always an application or a call will mean a completed transaction. For example, out of 30 requests, three will make a purchase. In this case, offline conversions will give us the opportunity to see from which requests the so-called "refused" leads come. This way, you can save money on them.

Offline conversions can also be used to determine where customers who buy more expensive products come from, and where customers who buy cheaper products come from.