Competitor analysis and niche research showed that in the working ad groups there is an intersection of different keywords, which ultimately lead to a common ad. Other shortcomings were also noticed. To eliminate these problems, we collected keywords for the search advertising campaign and approved the list with the client.
We added various extensions for search campaigns. This was useful for visualizing ads on the search network and improving their quality score. Bids were also adjusted.
Setting up RK Performance Max
During the audit, we found out that previously special database manual bid management was used in the campaigns, but at the start of the project, all adjustments had dropped significantly. This became the impetus for us to propose launching Performance Max campaigns. We set up test ad campaigns and worked out audience signals.
Next, we monitored the effectiveness of advertising, spending, and distributed the budget between advertising campaigns depending on their effectiveness. We also collected auction statistics by advertising campaign and tested new strategies.
Expert commentary
One of the conclusions our team made as a result of working on this project was that it is impossible to focus only on search advertising campaigns. Due to the fact that PMax campaigns use AI algorithms, more effective combinations of ads and audiences can be found, which subsequently leads to an increase in the number of conversions and a decrease in their cost. We tested audience google my business statistika: nə üçün analitik signals in advertising campaigns with maximum efficiency and used the obtained data in our work. This helped us achieve good results.
Results
The strategy that our company’s specialists implemented was successful. With a 1.3-fold increase in the number of conversions, we managed to reduce its cost by 20%.
Improving the efficiency of advertising campaigns
The clickability of ads has increased. Over aqb directory the last 3 months of operation, the number of clicks on the number has increased by 1.7 times, and the number of application forms filled on the site has also increased.
Return on investment
As a result of efficient budget allocation, optimization of bidding strategy and adjustment of settings, we managed to reduce the cost of conversions by 20%. At the same time, their total number increased by 1.3 times.