Title: Roast my idea – fresh data service monthly updated- my own automated workflow

[Marcin Gorski]

Every month I compile a fresh list of US local businesses (about 50-60k websites) that:

• Registered their domain in the last 12 months
• Are actively operating
• Have NO Meta Pixel installed
• Have NO Google Tag Manager
• Have business owner phone number
• Have email
• Are segregated by niche

Basically a digital phone book sorted by niche — you pick your industry, grab the list and start calling or emailing.


My thinking is that 12 month old businesses are the sweet spot — they survived the hardest first year so they have money, but they're still hungry for growth and not yet optimized. Perfect timing for a PPC pitch.


Volume is around 50-60k fresh websites per month.


Would you pay monthly for this? What would you actually pay? What sales channels would you use to sell this kind of data? Or will this idea even survive in the modern market?


Go ahead, roast it.

 

[Panther28]

How you gonna call someone when their who.is is set to private like all registers promote for free now? lol

I think the problem won't be finding noobs to buy this data, but your discipline of cleaning the lists and keeping it correct. How long have you been compiling lists for with no payment? Isn't this a bit risky? A business plan with no understanding of how it works, if it works, or when to get paid?

 

[Marcin Gorski]

How you gonna call someone when their who.is is set to private like all registers promote for free now? lol

I think the problem won't be finding noobs to buy this data, but your discipline of cleaning the lists and keeping it correct. How long have you been compiling lists for with no payment? Isn't this a bit risky? A business plan with no understanding of how it works, if it works, or when to get paid?

Contact data is scraped directly from the business websites — not WHOIS. So private registration is irrelevant.


The process is fully automated and runs in sequence: buy raw domain data of domains registered 12 months ago - June 2025 in this case → parse with automation → clean and extract results with AI → scrape contact details from the final list of websites.


By default the list targets local non-franchise service businesses — B2B and B2C. So you're reaching the actual business owner, not a receptionist or corporate gatekeeper.


Monthly production cost is around $300-400. So I need a subscription model to make it viable. That's exactly why I'm here — validating whether anyone would actually pay before scaling it up. and question is will X number of customers pay like I dont know 50-100 bucks per months to buy this data? One big list sold to multiple freelancers and agencies ..

 

[Marcin Gorski]

Bump — still looking for feedback and opinions on this???

 

[Marcin Gorski]

Bump — still looking for feedback- any ideas?

 

[André Cristhian]

You built everything before confirming anyone would pay, you should've sold 200 leads captured from one especific niche first, and only automated after that.

I belive reselling the same list isn't wrong, but let's think about the situation: if three agencies call the same plumber in the same week, conversion drops and they'ii start questioning you about the data quality. Home advisior/Thumbtack work well with this model because they're transparent about it (sent to X professionals) and consequently charge a lower price. You shouldn't lie about "exclusivity", because sooner or later they'ii realize it isn't.

You should also have a clear differentiator from BuiltWith/Wappalyzer/Apollo, and make that obvious from the start.

I found the math a bit tight, $300 to $400 against $50 to $100 per sale, you'd need 4 to 8 paying customers. Maybe working with niche segmented lists at higher prices would work better for you.

 

[Santiago93]

so basically you’re building the world’s nerdiest phone book and selling it like it’s a magic cheat code for PPC.

 

[LOQ Marketing Agency]

I think you could offer customers a trial to see how effective the feedback and response are, and from there you can determine pricing and target audiences that align with your business model.

 

[SettingSun77]

@Marcin Gorski If you bump this thread once more it will be closed. This isn't a BST.

 

[Marcin Gorski]

You built everything before confirming anyone would pay, you should've sold 200 leads captured from one especific niche first, and only automated after that.

I belive reselling the same list isn't wrong, but let's think about the situation: if three agencies call the same plumber in the same week, conversion drops and they'ii start questioning you about the data quality. Home advisior/Thumbtack work well with this model because they're transparent about it (sent to X professionals) and consequently charge a lower price. You shouldn't lie about "exclusivity", because sooner or later they'ii realize it isn't.

You should also have a clear differentiator from BuiltWith/Wappalyzer/Apollo, and make that obvious from the start.

I found the math a bit tight, $300 to $400 against $50 to $100 per sale, you'd need 4 to 8 paying customers. Maybe working with niche segmented lists at higher prices would work better for you.

I didn't build that much specifically for this project, as I use most of that infrastructure on a daily basis anyway. My calculation was that if I go all in on this project, I'd need separate VPSs, GSA- Scrape Genie, etc.

Also, if you sell 10k–30k records per month for $99, nobody will believe it's exclusive data by default. My goal would be to have 50–100 recurring customers using one large dataset and simply filtering the records by niche, location, and other criteria.

As for Apollo, you can use it to find local plumbers, but what next? In my case, you contact my list of plumbers and start the conversation using information you already know, such as the age of their domain and the fact that they're not running Google or Meta paid ads. That makes the outreach much more relevant than simply calling a random list

 

[Marcin Gorski]

so basically you’re building the world’s nerdiest phone book and selling it like it’s a magic cheat code for PPC.

So basically, when you call businesses from that list, you already have an angle for the conversation. They're still relatively young businesses that are already on the market but aren't spending on Google or Meta paid ads. Because you're targeting businesses with those characteristics, the outreach should be more productive than randomly calling businesses from Google Maps or Apollo leads. These businesses are still at a relatively early stage of their development. Plus, starting a cold call by congratulating them on their first year in business is much friendlier than opening with a generic sales pitch.