Google AdWords is a good way for website operators to generate paid traffic within a short period of time. But how can I compare my performance with that of my competitors?
The ongoing campaigns with their displays, display groups, and keywords deliver a huge amount of data. Clicks, impressions, CPCs, and conversions are a few examples of the many available metrics.
However, how your own campaigns and their keywords perform in comparison to the competition is not easily apparent. For this, the auction insights report can provide valuable data to webmasters. The auction insights can be found in Google AdWords either on a campaign, display group, or keyword level under the menu point Details.
A clear advantage for this comprehensive competition analysis in AdWords is that the data stems directly and genuinely from Google. Below, three metrics are presented that provide you with approaches for optimizing compared to your competition.
The first metric to be considered is the impression share. This shows which competitor records the greatest amount of impressions for itself. This KPI can be viewed from various angles.
Which competitor dominates the impression share over all campaigns?
Which competitors are fighting for impressions for each campaign?
Related to this: Which are the best- and poorest-performing display groups?
For which keywords is there competition for impressions?
The levels of the auction insights report show the level of an AdWords account: account level, campaign level, and keyword level. Performance can be checked at each level. In general, it is apparent who exactly the competitors are and how they perform. In addition, indirect competitors can be identified whose offer does not overlap 100% with your own offering.
Figure 1: The auction insights report can be found under Details.
The following scenarios can be derived from the data analysis.
With regard to the impression share, competitors can't keep up, and your own displays gain the greatest number of impressions. This is the ideal case, but there is still potential for optimization: the bids are possibly estimated too high and the costs are thus unnecessarily high. Of course, with AdWords, you are dealing with so-called runner-up auctions; nevertheless, competitors can increase their bids. Their goal is to demand more impressions, therefore increasing your costs of a higher click price. You have the opportunity to lower the bid and therefore keep your own market portion constant.
This scenario is not necessarily completely negative, because in the end your own campaigns receive impressions and can be increased through the increase of your own bids. This serves as a test of whether a significant value of impressions can be taken from your competition. If your own portion of impressions does not increase, the bid should be further reduced, otherwise there will be unnecessarily high costs for the same performance.
In this case, there is the possibility of reducing your own bids. The goal of this is to increase your own impression share and at the same time to use your own budget more effectively. However, through lower offers, you accept a poorer display position.
As the responsible party, you should therefore balance out whether your displays absolutely should be delivered in the first position, because the same number of impressions can be obtained in positions two and three for the same budget. Thus, your own impression share can increase and can be better used by the low CPC bids of your overall budget.
This scenario is the worst case. If the campaign still performs well, the budget can be increased if this is a possibility. If a budget increase is not an option or the campaign performance does not warrant an increase, the account and the campaigns should be analyzed in detail, thus creating new potential for optimization.
The active time frames of your competitors are not apparent at first glance in the auction insights report, because the report must first be segmented according to the desired time frame. As a result, the auction insights report offers granular information, for example segmented according to weekdays.
Figure 2: Segmenting according to time frames, e.g., weekdays, shows how many impressions your competitors achieve on the various weekdays.
This information and data are useful for finding out on which weekdays the competitors place their focus. On these days, the competitors' bids are oriented to achieve as many impressions as possible. In reverse, it is apparent on which days competitors switch to none or only a few displays and thus submit low bids. The assumption is then made that on certain days, the search volume is low, for example at the weekend.
Thus, time frames/weekdays can be identified on which your own market share can be increased with low bids. This possibility does not exist on the days on which your competitors perform well. Here, only your own data can be evaluated, and on this basis, measures for optimization can be undertaken. With both approaches, it is important to include your own performance data in the analysis.
The analysis of device types rests on the points mentioned above. In this case, the auction insights report in AdWords is segmented according to device types instead of by time frames. From this, it is apparent on which type of devices your competitors focus. Thus, it can be established where the data overlaps, and is offered in an auction together with your competitors. The competitors' weaknesses open new optimization potentials in comparison with your own data.
Figure 3: Segmenting according to time frames, e.g., weekdays, shows how many impressions your competitors achieve on the various device types.
Thus, it pays to be sure that your own database always lays the foundation for optimizations. Should a certain device type not perform well, it should not be pushed in make-or-break fashion. This will most likely not work.
The amount of data that is made available in the auction insights report is immense, and there are many different approaches to evaluating this.
Firstly, it is important to choose the period under review suitably – a longer review period is recommended. A review period that is too short can lead to false conclusions, because insufficient data is available for the basis. Anomalies or outliers have a much greater influence. However, if the market portion of a competition sinks over a longer time frame, this is a sure sign for optimization potential. There are opportunities to fill the gaps arising with your own displays. A deep analysis according to device types and time frames, typically weekdays, then delivers more exact data and information on when and how the gaps arising can be filled.
When downloading the report, you can add more than one segment; this isn't possible when simply viewing the AdWords interface. In the download dialog, several segments can be added. Thus, in Excel, deep analysis over several segments is possible. In addition, it helps to evaluate the data and to present it as a diagram; in this way, trends and changes can quickly be recognized. In the data tables, the suitable quantitative data can be selected.
Figure 4: Segmenting possibilities of the auction data report in the download dialog of the current AdWords interface.
The points and steps presented above are only the tip of the iceberg for a comprehensive and far-reaching competition analysis. Further potential for optimization is hidden below the surface. A notice that your own keywords could be prepared too broadly is shown by the overlapping rate. If this is very high with the campaigns of non-competitors, it is recommended to check the keywords. Optimizing your own keyword set contributes to enlarging your own displays in a targeted fashion.
Should the overlap with your competitors be particularly high, the auction insights report delivers the first indications on optimization on the keyword level. For example, you can analyze whether there is competition with regard to important keywords. Moreover, it is apparent whether the overlap takes place with less important keywords.
The auction data report delivers to you your concrete competition, thus providing you opportunity to analyze your competitors' landing pages. The analysis forms the starting point for the development of your own A/B test. Well designed and user-friendly landing pages do not influence the user signals; they also contribute indirectly to the quality factor of a keyword. In the end, the quality factor has an effect on the display position and the CPC.
For a far-reaching analysis of competition, the auction insights report offers a good basis and valuable insights for optimizing your AdWords account. The comparison with the performance data of your own campaigns can thus uncover previously undervalued potentials. These can also extend beyond Google AdWords in part. With all the possibilities that suddenly present themselves, your own data should always be included and considered.
Published on Nov 19, 2017 by Florian Kolbe