It’s very important to take full advantage of Google Ads custom columns to view the most relevant and up-to-date trends and insights in your account.
Technology has evolved rapidly over the years, giving rise to what we now know as Artificial Intelligence (AI). Artificial Intelligence is the ability of a machine to perform tasks that a human mind would perform.
AI has been gaining popularity on the internet due to its ability to perform tasks that require the human mind. Because of this, Google is not far behind in its use of AI.
Google Ads developed custom columns, capable of customizing PPC reports and generating nuances, useful for marketing professionals; one of Google’s best updates.
What is the new custom columns update about?
Custom columns are columns in reports developed on the Google Ads platform. Their purpose is to provide the consumer business with important calculations and metrics that can boost your business.
These columns allow you to maximize your reporting to a level that goes beyond what’s already pre-built in Google Ads. This tool has been around for almost 10 years, though it received a major upgrade last year, which Search Engine Land contributor Greg Finn contributed to.
Custom columns as a recommendation for marketing experts
This new update offers thousands of uses, as it’s especially useful for businesses that use multiple conversions, allowing them to be associated with a wide range of metrics that vary across conversions.
Along with all the companies associated with Google, AI and automation are developing rapidly.
One of the few remaining women database areas of control for marketing executives is recording offline conversion data in the Google interface to optimize the accuracy of suggestions, offers, etc., which are essential to its operation.
However, companies with only one conversion method use custom columns to set up trend recognition more efficiently and quickly . This helps marketers gain an edge in the competitive market and can even reduce Google costs.
Use cases
1. Segmentation by conversions
Custom columns are very helpful when analyzing different types of conversions , such as: MQL, OPP, Lead, Subscriber, Trial, SQL, etc.
This tool can be used in any company and/or business that applies multiple conversions.
Additionally, you can examine different search results to see which terms, keywords, and ads are driving the turnover rate on many days exce 9 times, and the premium rate also exce your business. This allows you to see specific locations that optimization or even increase or decrease costs.
Without this feature, decisions are made on aggregate view optimization. This doesn’t affect whether you have only one conversion method, but it accuracy to those with more than one conversion method.
For example, an advertising campaign that generates a large number of leads and MQLs, but rarely manages to generate SQLs.
This means that capital is being in an audience that likes what the company offers, and therefore the results can be easily . However, it cannot move beyond the sales qualification phase due to costs or size.
Knowing this, you have the ability to minimize expenses without affecting revenue, so this information would be very helpful in optimizing the Product team.
2. Average conversion costs for given time periods
In this case, the average conversion cost is over a period of time. For example, one year ago, last month, last week, yesterday, the last 30 days, etc. Its use in any type of conversion is useful for any scenario.
Regardless of your south africa numbers timeframe, setting a range and comparing metrics to historical data is a good way to see the status of costs , whether they are significantly above average or significantly below it.
This also allows for adjustments to costs and bids, which helps identify problems early. And it’s proven that columns align more cleanly than Google’s general user interface.