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22 Comments

The riches are in the (data) niches

I've done marketing in many niches. Large and small.

What blew me away is the number of profitable SaaS tools I've seen in relatively small niches. Those niches have maybe a maximum audience of 100,000 people. And yet, SaaS tools were raking 5-6 figures a month from them.

The thing that was common among these niches is that they were mostly all about data.

More data = more opportunities for a SaaS product

*by data, I mean virtual data. Bits and bytes. What you see and read now is an example of data.

This is what I've noticed while dabbling in tens of different niches. The more data is involved in the niche market, the bigger the ecosystem is for profitable SaaS products.

Let's take the domaining niche (buying and selling domain names) as an example. I've been in that niche for 2 years and know the ins and outs of it.

Buying and selling domain names is all about working with data:

  • The domain names themselves are words (data) which can be combined in millions of different ways, creating millions different domains

  • Buying/selling domaining names involves two or more parties communicating between each other (again, data)

  • To sell a domain name, you can do many things from cold emailing to putting a landing page when people visit the domain. Again, all about sending and receiving data.

Just for a comparison, a niche that doesn't (yet) involve much virtual data is something like farming. Sure, there are sensors/robots that slowly involve data in the process, but in its rawest form, farming doesn't involve much digital data.

In this post, I'll explore what you can do with data through the prism of the domaining industries, listing some successful SaaS domain tools.

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You can use this as a framework when you enter a niche.

People are willing to pay for historical data

Domain names are bought and sold multiple times. Over the course of a decade, you can see the same changing owners hundreds of times.

NameBio is one website which tracks domain name sales. They have over 200,000 monthly visitors according to SimilarWeb. Each day, you can see a list of domains that got sold at an auction:

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Another use of historical data in domaining is name valuations. EstiBot is a tool where you can enter a domain name and it will give you an approximation of its worth, based on factors such as recent sales of similar domain names. They have over 100,000 monthly visitors according to SimilarWeb.

People trade valuable data. Companies make money with commissions

In case of domains, you have hundreds of brokers that buy and sell names:

  • Some of them act as auctions

Most of these sites are owned by registrars. GoDaddy has GoDaddy Auctions. Web.com has NameJet (with over 250,000 monthly visitors):

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The way these sites make money is by charging a commission when someone sells their domain successfully.

  • Some tools acquire the domains themselves and then sell them

Park.io (making $125,000/month and interviewed on IndieHackers) is one such example. The way park.io works is by checking if an expiring name is free (they do thisseveral times per second). Once they snatch the name, they put it on auction and sell it to the highest bidder.

Some tools make data prettier

If you have some data that has value, you want to make the value as apparent as possible.

For domains, having a pretty landing page helps. Dan.com is a company that started by providing pretty landing pages and an easy-to-use way to accept payments for domains. Eventually they switched to a trading marketplacee and got acquired by GoDaddy.

Efty is also a tool that provides landing pages for domains. Most domainers use them to showcase their domain portfolio; so so for example if a person came and said: I want X, you could go to them and say: Hey btw, we also have this similar domain:

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People like talking and speculating about data

The domaining industry has several active forums. The top 2 are NamePros and DNForum. Take a closer look and you'll see hundreds of posts each day of people buying/selling/pitching/discussing all about domains.

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If you're looking for SaaS ideas, start with forums. See the links people share there, the tools they discuss, etc.

People like discovering new, relevant data

In domaining, there's always a constant stream of new and valuable domains getting released.

ExpiringDomains is a website which tracks domains which just expired. They're pretty popular with over 1 million monthly visitors.

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Don't underestimate peoples' desire for novelty.

Other industries that are all about data

  • Crypto. Everything here is virtual. There are tens of different of SaaS companies that made billions in this space.

  • Games. I've created a post last week talking about many popular SaaS tools around games. Most of those tools deal with gaming data.

  • B2C Platforms. Instagram/Facebook/TikTok are all about virtual data. You've probably seen many SaaS companies providing scheduling tools, allowing you to publish data (a post) conveniently.

  • B2B platforms. In my experience, this is even more valuable than B2B. For example, Shopify has an app store with thousands of apps, each of them helping you utilize data in a more effective way. I've seen hundreds of Shopify apps making 4-5 and even 6 figures.

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  • Offline businesses predominantly working with data. Think: Banks, lawyers. The medical profession is also increasingly being digitalized (with AI analyzing images/making diagnosis, etc.) creating more opportunities for SaaS tools around that industry.

More and more industries will become data-driven, creating a throve of new SaaS opportunities

Take farming an example. Every other day I keep seeing a story on TechCrunch about a farming startup that helps farmers with some job.

Many of those startups make hardware products and use sensors. Those sensors use data. And when there's a wealth of data in an industry, you know that's when the SaaS tools come in.

posted to
Icon for series Growth & Founder Opportunities
Growth & Founder Opportunities
on December 9, 2022
  1. 2

    Very insightful! Thanks

    1. 2

      Agreed. I thought this was a pretty thorough and insightful article as well.

  2. 1

    Another interesting trend is that as there are more and more SaaS products, and most companies now use 20+ of them, the need for them to be integrated amongst each other is rising.

    This is why we started Nango, to make it easier for engineers to integrate their products with existing 3rd party APIs and benefit from their data: https://github.com/NangoHQ/nango
    Nango gives you full access to the API but takes care of the repetitive infrastructure related to moving data around, keeping it up to date etc.

  3. 1

    the more interesting thing i want to mention here is that as working in the digital marketing and working for the SaaS we have analyzed that most of the SaaS companies face the high customer churn and that is also know as the cancer for SaaS and membership businesses.

    We have the data and we work on it and developed a tool which is now helping these SaaS and membership businesses to reduce their customer churn rate and increase their revenue.

    This is possible because of the data we have and we have analyzed from the past.

    You can also use this tool churnfree.com for 14 days free to see how much churned customers that can save and increase your business MRR.

    Check this tool and share what you think about it.

  4. 1

    100% agreeed that in this digital era its the war of data if you have data and know how to use it correctly then you can make thousands of dollars form it.

    Most of the time i also used expired domains to hunt the good names and i also found some good brand names and the interesting thing is that I'm also getting the some free traffic from these domains names.

    Thanks for sharing this detail post about the data.

  5. 1

    Agree, relevant/historical data is a key of successful product.
    The best examples where you can wrap data and display them in the readable view from stock/crypto market are screeners/scanners/trading bots/... . The audience of these niches is payable, so it is pretty easy to get first sales.

  6. 1

    Great article.

    As they say, data is the new oil. That is what the entire attention economy is about - extracting as much data as possible from you so it can be monetized.

  7. 1

    Great read because of the thought you put into organising your thoughts/formatting this post. Thanks for sharing!

  8. 1

    I think the key is to identify niches with little to no competition. Even the addressable market might be smaller, it is easier to penetrate into these "nobody" market. Love your sharing:)

  9. 1

    It's all about data. The more data you have, the more opportunities you get.

  10. 1

    how does Park.io works ? what doamin register allow query several times per second?

  11. 1

    That's really interesting! This demonstrates that even niche markets can be lucrative if you have the right product and access to the right data.

  12. 1

    Good post. The sports/games industry is perhaps also a good space to explore the use of data - game statistics, players statistics, athletes' measurables, e.t.c.

    1. 1

      Interesting niche.

  13. 1

    Great post! I think there is also lots of opportunity with data in the AI industry as well, and it's growing quite rapidly.

    For example, certain large language models being able to detect sentiments or intentions from text, or produce it themselves is going to be a huge market, especially with GPT-4 on the horizon.

    It essentially allows for much easier and streamlined data collection.

    I'm actually working on this right now by developing and AI API that allows developers to build their own AI apps. One of the AIs we're launching we're getting on the cloud is an LLM with sentiment analysis, so it's going to be very useful.

    I do building in public and post about it on my twitter, so you can check it out there https://twitter.com/therealetch

    Also have it here as well: https://www.indiehackers.com/product/evoke

    And there's also a discord link in my bio.

    Definitely think data is going to be a big market in the future, especially when AI becomes more mainstream.

  14. 1

    Great post, definitely makes sense

  15. 1

    Explains why there are so many SaaS tools around crypto and so little about cash :)

    1. 1

      That's a pretty good comparison!

  16. 1

    This lawyer vs. plumber comparison made sense.

    Lawyers work with digital data all the time (compared to plumbers who work with real objects), so it makes sense that there are more opportunities for that niche.

  17. 1

    SaaS is all about data so this deff. makes sense.

  18. 1

    This comment was deleted a year ago.

    1. 1

      It's a pretty big niche with players making 4-6figs/mo.

      1. 1

        This comment was deleted a year ago.

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