Category: Domainsbot News

  • Domain search behavior in relationship to the availability of .com

    Domain search behavior in relationship to the availability of .com

    By Emiliano Pasqualetti, CEO and Chief Data Scientist and Daniel Ruzzini Mejia, CO-Founder and CSO

    Background

    In August of 2021, our team wanted to investigate how users’ search for domains, particularly in relation to the availability of what they search as a .com domain and how their behavior changed. We looked back over 2020/21 and analyzed anonymized data from the Domainsbot Name Suggestion service.

    Our goal was to identify trends that can help us improve our service for the benefit of our users and the internet community at large. We feel the insights are worthy of reposting and remain relevant today. The takeaways of that study include:

    1. The number of individual users searching for a domain grew by 37% since 2020. However, users are submitting significantly less queries per session.
    2. The number of people searching 5 times or less during a search session grew by 33% while those who searched 6 or more times shrunk by 26%. At this time we do not know if people are finding what they want faster or if they are giving up faster than before.
    3. The chances of finding an available .com matching exactly what the user searched for are less than 13% for a 2 word query and less than 40% for a three word search. Users need to type a query of at least 20 characters to increase the odds to 50%. These results are in line with the previous year.
    4. Users tend to search for domains with a certain number of words consistently. About 75% search for domains made of 2 or 3 words and they tend not to add additional words to increase their chances of finding an available .com domain to register.

    Breaking down the data

    We want to investigate the behavior of users searching for a domain name in the primary market. In particular, we want to understand what are the chances that a users find exactly what they are looking for as an available .com according to:

    • The query number within her session (first, second, third query etc…)
    • The number of words in the query (e.g. “HealthyVeggies” counts as a two words query)
    • The length of the query (e.g. “HealthyVeggies” counts as 14 characters)

    We also want to compare these numbers with the previous year (2020) to understand how the .com availability is changing the user behavior.

    Naming convention

    • Exact Match We define an exact match as a domain whose SLD matches exactly what the user searches for. In case the user searches for a full domain the comparison is on the SLD alone. E.g. The domain “example.com” is an exact match for the queries “exact”, “Exact”, “EXACT” or “exact.live” but not for the query “Exact123” or “Ex-act”.
    • Query We define a query as the string or words that a user types when searching for a domain.
    • Query number Users typically search more than one query during their search session. We refer to the query number as the number indicating the order in which the user searched. For example, the first query in a session will have the query number set to 1, the second to 2 and so on.
    • Domain availability In the context of this study we will refer to a domain availability in reference to the exact matches only and at the time of the query.

    Methods

    We have analyzed an aggregated and anonymized set of requests to the Domainsbot Name Suggestion from May 1st 2020 to May 31st 2020 and from the same period in 2021. The majority of requests were in the English language, followed by Italian, Spanish, Portuguese and French. From this initial dataset we have discarded requests matching any of the following conditions:

    • Request without an anonymized session ID
    • Requests not allowing suggestions for a .com exact match
    • Requests from a session ID used more than 1000 times in a month
    • Requests for a query searched more than 40 times in a month

    For the purpose of this analysis we have excluded dashes from the word count (e.g. “Healthy-Veggies” would count as two words).

    Results

    Part 1 – Number of queries per search session

    Chart 1 – distribution of queries per session

    Image is of a chart showing distribution of queries per session.

    The number of individual users searching for a domain grew by 37% since 2020. However, on average, each user performs less searches per session in 2021 than in the previous year. In May 2020 about 20% of the users searched only once. This number jumped to about 30% in May 2021. We have trimmed the series in this chart to 20 queries per session because the trend continued to decrease without any further changes. Please note some users searched hundreds of times during the span of the observed month.Chart 2 – grouped changes in distribution of queries per session

    Image is of a bar graph showing how queries per sessions changed in 2020 and 2021.

    Chart 2 shows the changes in the distribution of the queries of users searching for up to 5 times or more than 5 times, respectively, within a session. The amount of queries performed by users searching up to 5 queries in a session grew by 33% in 2021 while the queries from those who searched 6 or more times in a session decreased by 26%.Chart 3 – changes in distribution of queries per session

    Image shows a line chart capturing the changes in distribution of queries per session.

    Chart 3 shows the growth of the queries performed by groups of users who performed exactly N requests during the month of observation.

    The percentage of queries performed by users searching just one time grew by 55% (30.65% in 2021 vs 19.73% in 2020) followed by the queries of users searching just two times per session (24%) and then three queries per session (14%). The rate has been instead steadily negative for each cohort of queries performed by users searching more than 6 times during their session. It is interesting to note the growth trend is a monotonic function (meaning it is always decreasing).

    Part 2 – .com availability per number of words or query length

    Chart 4 – Chances of users finding exactly what they searches as an available .com by number of words

    	

Image shows a bar graph capturing the chances of users finding exactly what they searched for as an available .com by number of words.

    There is a strong positive correlation between the number of searched words and the chances of an available .com exact match. In a nutshell, the more words are searched, the more likely a user is presented with an available .com. It is interesting to observe that users searching for 2 word domains have less than 13% chances to find them available as a .com exact match and less than 40% chances when searching for 3 word domains. The odds did not change significantly against 2020. Please note that the vast majority of available one word queries were IDN (domains containing non ASCII characters).Chart 5 – Chances of available .com by length of the query

    Image shows a graphic capturing the chances of an available .com domain by length of the search query (number of characters).

    Similarly, the chances of an available .com domain increase with the length of the query measured in number of characters. Users need to type a query of more than 20 characters to increase their odds of finding an available .com exact match to more than 50%. No significant changes occurred between 2020 and 2021.

    Part 3 – Attitude toward changing search pattern during session

    Chart 6 – Distribution of number of words per query

    Image shows a chart that captures the distribution of queries by number of words and how much the user changed search behavior during a session.

    This chart shows the distribution of queries by number of words. It also shows how users did not change their attitude toward their preferred number of words to use while searching for domains between the two periods. 75% of the times, users search for just 2 or 3 words domains with a clear preference for 2 words. No significant changes seem to have occurred over the years 2020 and 2021, as you can see from the table below.

    avg. words per query 2020 2021 difference (year over year)
    first query of the session 2.39 2.38 -0.42%
    last query of the session 2.47 2.47 0.00%
    difference (last vs first) 3.35% 3.78%

    It is surprising to observe that users tend to have a consistent attitude towards their preferred number of words in a domain. For instance, a user searching for a 2 word domain might also search for a 3 word domain but usually keep looking at 2 word alternatives afterwards. The average number of words per query seems to grow between the first and the last query of the session but by a minor 3% to 4%. No significant changes year over year in this study.Chart 7 – Availability of .COM domains per number of searches

    Image of a line chart capturing the average chance of finding an available .com exact match based on the query number.

    In Chart 7 we plot the average chance of finding an available .com exact match according to the query number. This chart is the most insightful of this study. The availability of the .com exact match is remarkably consistent across every group of queries within a session with an average of 21.7% in 2020 and 22.4% in 2021. It appears that the majority of users performing a single lookup have the lowest chances while those who perform at least 2 and less than 10 tend to have better odds. This chart also confirms the evidence that users tend not to increase the number of words during a search session. If that was the case we would expect the chances of available .com exact matches to increase with the query number.

    Conclusions

    In conclusion, we observed a significant decrease in the average number of queries per session as well as a relatively low but stable chance of finding an available .com within the most popular search groups (2 or 3 words). We also noticed little user interest in increasing the odds of finding an available .com domain by searching for longer queries or more words than their original idea. We want to keep investigating how users search, register and use domain names. In particular we plan to focus our next studies around the following questions:

    1. How did the evidence of less queries per session affect registration trends?
    2. How many users register and develop a domain in a non .com extension even if the .com equivalent is already registered (possibly by someone else)?
    3. Is a synonym based domain suggestion effective to alleviate the user pain of not finding what they search for available as a .com?
    4. Is there evidence that a growing number of users look at the secondary market when they cannot find what they are looking for as a .com domain available in the primary market?

    The answer to these questions can help our industry to understand how to evolve to address a potential pain for the consumers.

    Finally, we are aware that 2020, the first year of Covid-19, was an exceptional year, including for our industry and that this study should be expanded taking in consideration additional years in the past and the future.

    Interested to see the results if we conducted this study again? Have additional questions to add to the study? Let us know! ciao@domainsbot.com

    For any questions please contact us at: insights@domainsbot.com

    Compliance

    This study uses anonymized and aggregated data collected from Domainbot’s proprietary Name Suggestion service. In compliance with GDPR, no personally identifiable information has been stored nor used during the study. We receive and process a fully pseudo-anonymized session ID in compliance with both privacy and security requirements. The actual content of the queries was not processed directly during the creation of this study. The number of words, their length and the .com exact match availability were inferred, when possible, from the logs of our response to the service request.

  • Business Intelligence makes domain data work for you, and not the other way around

    Business Intelligence makes domain data work for you, and not the other way around

    Domainsbot’s Business Intelligence is a sophisticated platform that regularly collects and organizes hundreds of millions of data points on registered domains. Our clients then simply access the exact data they need, whenever they need it and in the way that is most convenient to them. They also know that they can rely on the Domainsbot team to provide all the training and support they need to be immediately productive.

    Having worked for years with many top Registries, Registrars, and Hosters, Domainsbot knows that different tasks require different data at different times. This is why Business Intelligence was built to be extremely flexible, providing multiple ways to access data and address all use-cases in the most effective way possible.

    1. Web based data access: Pandalytics

    Offering maximum flexibility with minimal effort. Users can quickly build detailed queries covering all registered gTLD and nTLD domains, and get the results in just a few seconds – anywhere, anytime.

    This is the ideal way of accessing data quickly to create smaller reports to analyze the customer base of a specific Registrar or simply find the answer to questions that arise in a meeting.

    domainsbot pandalytics get maximum flexibility and build detailed queries
    domainsbot pandalytics get started with filters

    2. Web based Business Intelligence: Domainsbot Insights.

    This is the ideal way of accessing data and creating reports to evaluate the ROI of a campaign, analyze the customer base of a specific Registrar or Registry and to visualize trends and changes in the industry over time. Additionally, Insights offers the capability to receive scheduled reports at your convenience.

    domainsbot business intelligence display gtld market share
    domainsbot business intelligence TLD registration

    4. Data Sync, Part of our Data Provisioning Service

    Data Sync is our solution system to serve the most advanced scenarios. Expanding the use case for custom data dumps, Data Sync provides programmatic access to all Business Intelligence data so that all updates and changes can be immediately mirrored into an internal BI system.

    Flexibility, passion, and dedication to the success of our clients, alongside the ability to deliver high-quality data at affordable prices, are the main reasons many leading companies in the domain and hosting industries choose Domainsbot as a long-term trusted partner.

    If you are looking for the best way to grow your domain and hosting business, get in touch. We are here to help you succeed and provide a variety of solutions to deliver exactly what you need.

    Discover Business Intelligence

  • Understanding domain usage and how it affects your business

    Understanding domain usage and how it affects your business

    It’s no mystery that a high level of domain usage is the best health indicator for the business of any Registry, Registrar or hosting. Domains that are actively developed are more likely to renew. Domain usage is also often associated with additional services like hosting, email and SSL certificates that generate the bulk of the revenue for Registrars and Hosters. Additionally, these domains provide positive exposure to the TLD extension they use.

    It is for this reason that correctly measuring the usage of a domain is the key to understanding the true market value of a domain provider and its growth expectations. Domain usage is also a very important factor in deciding how to allocate a marketing budget.

    Accurate usage analysis is one of the primary benefits that a service like Domainsbot Business Intelligence delivers to its customers, helping them get a better understanding of the market and to make better informed decisions. In the effort to constantly improve the quality of our service, we realized that not all developed sites are the same and that there are important differences between domains that need to get better exposure. In particular, an important discovery we made was that domains that individually would appear “developed”, when looked at in the broader context of our entire database turned out to be copy-cats displaying the same content as many other domains. These large cohorts of copy-cat domains are often used to help boost the SEO ranking of other linked websites, and are then dropped as soon as their SEO juice runs out.

    It was obvious to us that these domains should be interpreted differently from developed websites, and that a superficial look at the numbers may generate misleading information and lead to suboptimal, less informed business decisions. In order to address this issue correctly, we classify such websites as “undeveloped”. This feature has become essential to appraise the actual value of a Registrar/Hoster domain business portfolio. Simply counting developed domains under management is no longer enough.

    Contact us and schedule a call to understand how to leverage Business Intelligence data to make better business decisions and understand your domain usage.