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Examples of inappropriate placements for B2B lead generation campaigns:

Posted: Wed Feb 19, 2025 9:53 am
by Habib01
So Smart Bidding will show most of our ads in India, Bangladesh, Sudan, Nigeria, etc. Unfortunately, even removing developing countries from campaign targeting doesn't completely win us over. Even in developed European countries or the USA, there are a large number of websites where people are usually used to and willing to fill out forms and submit contact information. There are mainly two types of sites. The first are with all sorts of fun questionnaires and quizzes, where people register to have fun.



The second type of inappropriate site is job portals, especially those offering work from home. They are often a source of traffic that has very high quality behavior on the site. Visitors spend a lot of time on the site and browse many pages to find a job offer or information about the company, making it more difficult to recognize and separate this traffic from the one that is truly interested in the product.



There are lists of websites that are recommended to be excluded from content campaigns, however, these senegal phone number data lists are not and cannot be complete, in addition to the fact that new websites are constantly being created or old websites are migrating to other addresses, so even an extensive list of excluded placements is unfortunately not a definitive solution.

So, if we want to get the best possible quality contacts from the content network, it is necessary to record the quality of business contacts. How to do this? First of all, all completed registrations need to have a unique ID, and this must be recorded, ideally in your CRM, but it is also possible to track the quality of leads in WordPress or Google Sheets. We will send this data to Google Analytics (Universal Analytics or another tool we have for analytics) and there we will evaluate which sources of visits and which targeting bring us the best quality traffic.

ETL tools such as Keebola are very helpful, as they extract data from various sources, transform it into the same form, and then merge and write it so that we can use it further and visualize it in other tools such as Google Data Studio.

In order to optimize PPC campaigns based on lead quality, unfortunately, basic tools such as Google Ads and Google Analytics alone will simply not be enough. You need to track unique form IDs, record this information, and either use scripts or other tools to assign these leads to campaigns. If we succeed in this and optimize campaigns based on lead quality, the total number of contacts from content campaigns will decrease, but the proportion of quality, i.e. marketable leads will increase several times. The cost of a quality lead from a content campaign is usually reduced by more than 50 percent . In search campaigns, the effect is not as great as with content, but here too, by optimizing campaigns for lead quality, we can save up to 20 percent.