ID that the site assigns to a person who visits the page. We set up the system so that the ID is sent to the sales department along with the application itself. Thanks to this, we can manually search for the number in Yandex Metrica reports and determine where the user came from.
Result: We were able to minimize labor bulgaria business email list costs for data collection despite the fact that the client does not have the Over time opportunity to use Russian services. As a result, we can optimize campaigns and their budget and immediately cut off obviously illiquid applications and transitions.
Conclusion: Sometimes it is worth turning to non-standard solutions. Even if the report is compiled manually in a simple table, it can work no worse than advanced automatic services. There is always a way to bypass restrictions and work as effectively as with “standard” customers.
We found a way to filter out irrelevant applications
Task: People who are often visiting the site i want to do my best before the briefing begins are looking for inexpensive devices for home use. These could be, for example, microcurrent devices or devices for ultrasonic facial cleaning.
Patients also react to ads. For example, they Over time are looking for a clinic that offers wave therapy, but they end up on a website that sells equipment for this procedure. Users do not read the ad and the information on the website carefully and leave a request.
Our client’s target audience is purchasing managers or owners of large private and public medical centers. The company sells professional fax database equipment, and each device costs several million rubles. This is not a consumer product, and clients usually have a long decision-making cycle. Because of this, the conversion may be low in fact – there are not many deals, but they all bring good profit.
Solution: The target audience is very narrow and even with detailed elaboration of search queries it is difficult to set up advertising so precisely. The sample of customers who eventually bought something is very small compared to the number of clicks and applications left. Because of this, focusing on data on such a small group of buyers was irrelevant.
Instead, we started asking the client for information not just about buyers, but about all “good” requests. We analyzed users who could Over time have bought something, but ultimately refused the deal for some reason, or had not yet concluded it. This helped expand the sample and work out the optimization of campaigns in Yandex.Direct. As a result, the number of requests decreased, but their quality increased significantly.
Conclusion: A large number of applications does not always mean that the advertising is successful. It is important to analyze who exactly Over time came to the site and why. If we are talking about specific products such as medical equipment, the quality of the leads plays a more important role.