Technology
The 100 Most Expensive Keywords on Google
The 100 Most Expensive Keywords on Google
What do lawyers do with all of those legal fees that they generate?
Apparently, they throw it at cost-per-click advertising on Google AdWords.
According to today’s infographic on the 100 most expensive keywords on Google by WebpageFX, search phrases related to legal services make up the vast majority of the rankings with 78 of 100 search phrases.
Why Lawyers?
The average cost across all industries for CPC advertising was $1.58 per click in 2015.
However, Google has has billions of available keywords, and the cost for specific keywords can range dramatically based on a number of factors. Some phrases are worth pennies, while others can cost hundreds of dollars. It all depends on the relevance and the potential revenue that can be generated off of a particular search phrase.
Many law firms are willing to pay in the higher end of that spectrum, particularly for business related to personal injury claims and car accidents. Phrases such as “top personal injury attorneys” or “Personal injury attorney Colorado” dominate the rankings, making them among the costliest search terms worldwide. The most expensive keyword of all is “San Antonio car wreck attorney”, which has an astronomical rate of $670.44 per click.
Keywords such as these are heavily location-based, while having strong regional competition. This drives up ad rates significantly.
That said, lawyers are still open to shelling out good money for these kinds of leads, as customers would be highly motivated while providing substantial revenue to their firms.
Location, Location
Of the 22 keywords that were not related directly to legal services, it was location-specific terms related to insurance and water damage that were among the most expensive.
Terms such as “Austin TX auto insurance” or “Flood restoration Chicago” commanded large bids, with $388.58 and $346.49 costs for each click respectively.
Ultimately, it turns out that 58 of 100 of the most expensive keywords on the list are related to location, with competition in California, Texas, Florida, and Colorado being the toughest.
Technology
Charted: The Jobs Most Impacted by AI
We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.
Charted: The Jobs Most Impacted by AI
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.
In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.
Data and Methodology
To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.
With this analysis, researchers were then able to estimate how AI would impact different occupational groups.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.
Where AI will make the biggest impact
Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.
Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.
Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.
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