3 Strategies for SEO-Friendly Content

Dive into business data optimization and best practices.
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mdmarouf988
Posts: 48
Joined: Tue Jan 07, 2025 4:32 am

3 Strategies for SEO-Friendly Content

Post by mdmarouf988 »

Recently, the guys from PELLER MEDIA established serious statistics on advertising for us and asked us to remove the review. Now I want to tell you what statistics we had, and what they have become.

Our statistics were very simple - here are the goals, at the end of the month the programmers filled them out for me and sent them to me.

From it I have already drawn conclusions about where we will spend money next month and where we will not. That is, this is the most basic version of what kind of statistics a manager can have.

Here were impressions, clicks, CTR reports. By CTR I understood the quality of the ads. Then – the cost for each advertising channel, the average click price, by it I understood in general how much we were buying traffic to our site. The bounce rate is also again the quality of this traffic. I understood what the number of applications would be from each advertising channel, the number of calls, the site conversion and the price of the application specifically from each advertising channel. By the site conversion I also understood how high-quality the traffic was going to our site from each advertising channel. And the final data, how much we spent in total, how many applications we received and at what price.

If I became more interested, I wanted to look at it in more detail, I simply clicked on the plus sign ecuador whatsapp number database and saw specific data for each advertising channel. The most convenient thing here was that the numbers were one under the other, which made it possible to compare and analyze easily.


This is what it all looked like

We used it for two years, and for two years it met our needs.

The only downsides of such reporting were, firstly, the number of applications that is written here, we took it from the metrics. That is, this figure 204 from Yandex.Direct is the number of all applications, both clean and dirty. The number of calls, this is 67, these were calls from clients, these were calls from transport companies offering their services. That is, in fact, very dirty statistics up to this point. If everything was still more or less clean here, then starting with applications, everything looked very dirty. No one knew exactly how many newspapers called, how many magazines called - all this was added here, and this figure contained all these dirty indicators.
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