• At A Glance...

  • What is it?Getting leads from the google maps view. You can do this with the help of tools like phantom buster, have a dev do it, or have a VA do it manually.
  • Pros
    • Not much competition
    • Free personalization
    • Low cost leads
    • Repeatable process at scale
  • Cons
    • Only good for local businesses
    • You’ll often find duplicate companies, like franchises with different websites or locations but the same actual company

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 3 - Scrape with code
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)
  • Scraped / Human Labor 1 - Copy paste each individually

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • Tool URLhttps://builtwith.com/
  • What is it?Lead software that allows you buy lists of leads based on what technology they use to build their platform / random tools people use (calendly, zapier, etc)
  • Pros
    • When I asked Thomas about it, he said “fuck, I love Builtwith” 😂
    • Holy grail for software/techstack. Reallllllyyyy reliable data. Been around since 2011. They get their own data via crawlers vs. taking from a central shitty database like some lead dbs.
  • Cons
    • Expensive
    • Hard to understand what report possibilities exist until you’ve paid for it
    • Hard to hire out to someone with a paid subscription as a result (lots of back and forth asking them to send you stuff)

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • Tool URLhttps://clay.com
  • What is it?Clay.com is a "waterfall enrichment" tool, where you can get easily get aggregated enrichment data from a bunch of different tools. This review of it is NOT about when you use it for that; ONLY RE using it for raw leads.
  • Pros
    • You can get raw leads for free
    • Easy to use
    • Nice jumping off point to get raw leads to enrich elsewhere
  • Cons
    • Expensive for enrichment
    • Not sure about data quality

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality🤷 Unknown

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://www.pandamatch.io
  • What is it?Affordable list-building tool that allows you to export a list of leads similar to websites you type in
  • Pros
    • Great source of cheap raw leads
    • Really good for ICPs that you can't really find listed in any leads databases
  • Cons
    • It's not a "one-stop shop" — you'll need to do heavy ICP filtering and enrichment to actually send a campaign to these people

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • What is it?This is one of Thomas’ all-time favorite strategies, because you can find absolute GOLD MINES. This strategy is when you find list of top companies in your Ideal Client Profile (ICP) and build your list from that.
  • Pros
    • When building your list from a directory, it’ll be super targeted.
    • Not many people are doing it, so not a lot of competition. Free personalization.
    • Sometimes lots and lots of low-effort high quality leads (e.g. healthcare). There are directories for most industries and most locations.
  • Cons
    • Lead volume cap; you often can’t get loads of leads.
    • Sometimes you’ll only see the top 50 or 25 of the thousands of companies that are out there, if it’s a super-duper-niche directory.
    • Not all niches have directories.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 3 - Scrape with code
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)
  • Scraped / Human Labor 1 - Copy paste each individually

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • Tool URLhttps://similarweb.com/
  • What is it?Lead enrichment tool that allows you to browse by technology and SEO data like traffic etc. The difficult thing though is that in order to actually use it for raw leads, you need to be on a VERRRRYYYY expensive enterprise plan. However, if you use it simply for data enrichment, you can get that info with an apify scraper for cheap. NB: I did find a somewhat duct-tapey way to create a similarweb scraper for raw leads via a make.com automation; I will add a tutorial in her for it.
  • Pros
    • Filtering by website traffic and tech used.
    • Zach likes it from a tinkering standpoint, since we can play with it a lot more for free than we can with Builtwith, in terms of seeing how filters affect list size.
  • Cons
    • Data markers available are not as extensive as Builtwith
    • I haven’t run an actual campaign to a list of similarweb leads yet, so I can’t compare what the actual quality is at the end of the day compared to Builtwith.
    • Even though their website says they have self-serve accounts around $150/mo, those accounts don't allow you to use it as a list-building tool. They're only for SEO insights or something like that. To use it for building lists of raw leads, you'd need to be on their $1,500/mo enterprise plan 🤢 NB: I did find a somewhat duct-tapey way to create a similarweb scraper for raw leads via a make.com automation; I will add a tutorial in her for it.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://clay.com
  • What is it?Clay.com is a "waterfall enrichment" tool, where you can get easily get aggregated enrichment data from a bunch of different tools. It's convenient and easy, but extremely expensive per lead. (Often >$1 CPL, depending on your ICP filtering strategy.)
  • Pros
    • Convenient
    • Easy to use
    • Fast to use
    • Good for if you're feeling overwhelmed at making a list strategy and just want one platform that "does everything for you"
    • Good for if you just want to build a decent list ASAP
  • Cons
    • Enrichment here can be extremely expensive per lead. (Often >$1 Cost Per Lead (CPL), depending on your Ideal Client Profile (ICP) filtering strategy.)
    • Over-dependence on Clay to "do everything for you" will cripple your ability to create list strategies on your own and may limit your long-term outreach success.
    • NB: If you have more money than time and a high Client Lifetime Value (LTV), Clay could still be fine. $1 CPL with Thomas' benchmark metrics means probably a $200-300 Client Acquisition Cost (CAC), which is still not a lot of $, even if it's much more expensive than other options.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • What is it?Literally just going to google and searching for the product/service name (and often + location). You can also use tools like Apify to do this.
  • Pros
    • You can get data that you otherwise couldn’t.
    • It works, and people forget about it as an option. No one’s really doing it in cold outreach so you might reach out to leads that haven’t been getting cold outreached to before.
    • Simple and easy for a VA to do.
  • Cons
    • It’s generally quite a manual process, unless you use a tool like apify to do it.
    • ICP-fit might not always be great, especially as you go further in the search listings. Page 9 people might not be good ICP-fits, for example. So you’d need to a do separate list-narrowing step to control for that.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 3 - Scrape with code
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)
  • Scraped / Human Labor 1 - Copy paste each individually

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • What is it?You can scrape leads from large directories that contain all sorts of different industries, e.g. Yellow Pages, Better Business Bureau, Dun & Bradstreet, etc. These tend to be more focused on brick & mortar businesses though, as compared to scraping niche directories.
  • Pros
    • Not much competition. Lots of data and categories to choose from.
  • Cons
    • Tends to be focused on brick and mortar businesses, since most searches are location-based.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 3 - Scrape with code
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)
  • Scraped / Human Labor 1 - Copy paste each individually

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • What is it?Marketplaces are places where consumers buy things that your Ideal Client Profile (ICP) sells. They can sometimes be great sources of leads if you scrape them.
  • Pros
    • Not much competition. Lots of data and categories to choose from.
  • Cons
    • Often can’t get a high volume of data.
    • Sometimes people will have profiles with very little data and no external websites.
    • You’ll often find leads who are 100% platform dependent and don’t actually really have proper businesses, and you’ll thus often rely on additional ICP-qualifying steps after pulling the list.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
  • Primary Monetization Style?
    • Products

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 3 - Scrape with code
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)
  • Scraped / Human Labor 1 - Copy paste each individually

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • What is it?Joining private niche-specific communities and scraping the leads from within their member directory.
  • Pros
    • Free personalization. Access to potentially better ICP-fit leads if it’s a paid community.
  • Cons
    • Would mostly rely on manual scraping, I believe, if behind a login.
    • Often will be a small quantity of leads.
    • No guarantee that people in the community are qualified leads, so might require additional ICP-qualifying steps.

• Client types it is generally best for

  • Company Size?
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 1 - Copy paste each individually

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI know it exists but have never used it and haven't even heard good things

• At A Glance...

  • What is it?Scraping something like a blog post that lists out businesses but isn't structured like a “proper directory”
  • Pros
    • Can be nifty for free personalization and pre-filtering a list to be high-quality leads, if the data source is something like “the top 20 XYZ companies” or whatever
  • Cons
    • Low volume. Manual process.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)
  • Scraped / Human Labor 1 - Copy paste each individually

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI know it exists but have never used it and haven't even heard good things

• At A Glance...

  • Tool URLhttps://www.nerdydata.com/
  • What is it?Looks to be a poor man's Builtwith/Wappalyzer. Heard of it from a 200KF member. Haven't yet played with it much beyond a dabble.
  • Pros
    • Cheaper than Builtwith ($200/mo or $600/yr)
    • Free plan shows 50 rows per table
    • User-friendly search interface
    • Transparency about when data was last crawled
  • Cons
    • Not as much data as builtwith
    • Not as many technologies as builtwith
    • Data might not be reliable (for example, I pulled up a client's site on there who I KNOW is using optin monster and it didn't show it)

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality🤨 "Meh" Quality / Kinda Reliable

• Our Experience With This StrategyI know it exists but have never used it and haven't even heard good things

• At A Glance...

  • Tool URLhttps://snov.io
  • What is it?We primarily use snov for getting emails, but you can also use it as a lead gen database. If you DO use it as a leads database, you’d still do your normal Snov email-getting process as a separate step to ensure you’re getting the right decision-maker contact info.
  • Pros
    • Since they pull the lead data from LinkedIn, the data quality *should* be relatively good and consistent with LinkedIn (which I guess matters if you have LI-sized companies)
    • Accurate technographic data.
    • Great support.
    • You can do a company search for free for unlimited leads downloaded!
  • Cons
    • Not as good for technology as something like Builtwith Seems to rely on LinkedIn sales navigator as a data source. So if you’re reaching out to a small niche, it probably won’t be on Snov as a category, as the business categories seem to mirror LinkedIn sales navigator categories.
    • I noticed some data quality issues for things like out-of-business businesses when testing with Similarweb — many snov lead website URLs where the website doesn't exist anymore, etc.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality🤨 "Meh" Quality / Kinda Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • Tool URLhttps://storeleads.app/
  • What is it?Ecommerce-specific lead gen database. It’ll give you the ecommerce tech stack (e.g. woocommerce, shopify, etc) and categories (e.g. clothing, makeup, etc) for your leads. Thomas used to use it but not anymore. However, we've heard good things about it from a couple people in the community who use it.
  • Pros
    • Ecommerce-specific. If you specialize in ecomm it’s worth looking into.
  • Cons
    • Somewhat expensive

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
  • Primary Monetization Style?
    • Products

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://www.uplead.com/
  • What is it?An apollo-esque leads database. Thomas used it a few years ago, but not anymore.
  • Pros
    • It exists and has data. It’s been around for a while; maybe gotten better since Thomas used it since it’s been a few years.
  • Cons
    • Thomas used it a couple years ago. Quite expensive for what you got. Similar to Apollo. Not very good. didn’t get many good leads.
    • They say they have a lot of leads but he didn’t really find that to be the case. When he’d try narrowing the list, it’d shrink SO MUCH.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • Tool URLhttps://www.wappalyzer.com/
  • What is it?Reliable web tech stack lead generation database. It’s reliable for what it has, but has very limited technographic options. You most often use it to target by technologies websites are built on top of (e.g. shopify, rails, etc.) vs. extra technologies like CRMs, google analytics, calendly, etc. that Builtwith would give you.
  • Pros
    • Reliable data. Great Support. Slightly cheaper than Builtwith.
    • Can target by top-level domains, which can be handy for finding europe or aus companies e.g. “.com.au” domains etc.
    • Can target by keyword
    • Can stack technologies used, or keyword + technology
  • Cons
    • Wouldn’t generally use it over Builtwith since Builtwith has a lot more data and search capabilities, and isn’t really even that much more expensive. You also get WAYYY more data on Builtwith; e.g. if you searched “Shopify companies in the US” you might get 50k leads from Builtwith and like 10-20k with Wappalyzer. Kinda expensive.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
  • Primary Monetization Style?
    • Products

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • Tool URLhttps://dataminer.io/
  • What is it?Chrome-extension-based scraper. Kind of reminds me of parsehub at a glance. Heard of it from Garrin in the community; he used it to scrape directories.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've never used it but have heard good things

• At A Glance...

  • Tool URLhttps://phantombuster.com/
  • What is it?It is essentially a “no-code scraper” that allows you to scrape all sorts of pre-defined places.
  • Pros
    • Premade. easy. fast.
    • Scrape all sorts of places - LinkedIn, Sales Navigator, Google Maps, Instagram, Twitter/X, Facebook, Github, and Private Facebook/LinkedIn Groups / Communities
    • Gives you a lot of different options within platforms
  • Cons
    • Takes time to scrape the data so you have to wait for it
    • Gets expensive if doing it at scale

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • Tool URLhttps://www.parsehub.com/
  • What is it?A highly-customizable piece of no-code scraper software
  • Pros
    • It’s quite powerful once you get it going, and can scrape many things since you do all the setup for the scraper
  • Cons
    • Quite time-consuming to set up and figure out

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://www.octoparse.com/
  • What is it?A no-code scraper with a bunch of pre-built templates to get data from different sources. Quite similar to apify, phantom buster, etc.
  • Pros
    • Allows you to scrape data yourself, for cheap, without technical skills.
    • Seems particularly good for freelancers who serve brick and mortar clients due to its google maps and yellow pages scraping capabilities.
  • Cons
    • Untested by Zach or Thomas

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality🤷 Unknown

• Our Experience With This StrategyI've never used it but have heard good things

• At A Glance...

  • Tool URLhttps://www.listkit.io/
  • What is it?Standard lead gen DB, e.g. an Apollo/Upload competitor. Their USP is manually-vetted leads.
  • Pros
    • The founders are reliable, have a good g2 rating, and know what they’re doing.
    • Their main USP is that they have is that they maybe have like a team of VAs or something that like goes through each lead and you’d pay them for like 50 leads and they enrich them as a service.
  • Cons
    • Untested by Zach or Thomas

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've never used it but have heard good things

• At A Glance...

  • Tool URLhttps://business.linkedin.com/sales-solutions/sales-navigator
  • What is it?Redefines the search of the “raw lead” based on LinkedIn data. Quite an underrated resource. Note that you HAVE to use a tool like Evaboot or similar in order to get their emails and other data.
  • Pros
    • If you’re targeting an industry that’s on LinkedIn, and you want to target specific positions at a company, you can get that data.
    • Can also get data on how long someone’s been at the company, when it was founded, etc.
    • Quite reliable for good, up-to-date data
  • Cons
    • Only really works for certain kinds of businesses, and given that it’s not a website, you have to work harder for that data, and should generally avoid emailing the personal emails that are attached to the LinkedIn accounts.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)
  • Scraped / Human Labor 1 - Copy paste each individually

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://getlatka.com/
  • What is it?SaaS-specific lead generation database; quite similar to Crunchbase
  • Pros
    • Specializes in SaaS. Has funding data as well. Has the SaaS industry that they’re in, e.g. “ecomm software, education software, etc” company age, valuation, cashflow, etc. Very very good for SaaS-targeting freelancers. DB has 38k leads in it.
  • Cons
    • $100/mo for just 100 lookups and very limited lead export. Might be prohibitively expensive
    • Thaiane said maybe the data quality sucks when she played with it. She said there were some instances of company categories being incorrect (e.g. she wanted "healthcare" companies and "hospitality" ones were showing up) and there was some inaccurate info about decision-makers, e.g. showing the old CEO who'd been replaced several months ago as still the active CEO.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
  • Primary Monetization Style?
    • Products

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality🤨 "Meh" Quality / Kinda Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://instantly.ai/
  • What is it?Lead gen DB that you can export raw leads from. You can do a thing where if you add leads to a campaign from your upload, it can automatically find “lookalike leads” and auto-upload them to the campaign.
  • Pros
    • It integrates with the instantly scheduling side of things, and has standard lead gen db filters, like a keyword filter, targeting by technology, funding filter, lookalike targeting, and more.
  • Cons
    • Pretty basic capabilities
    • High competition due to ease
    • High competition due to popularity of instantly cold email software

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've never used it but have heard good things

• At A Glance...

  • Tool URLhttps://evaboot.com/
  • What is it?It essentially turns LinkedIn Sales Navigator into a cold email tool as opposed to a LI-outreach-only tool. It's used for finding emails & contact data from LinkedIn accounts; and it sits on top of LinkedIn Sales Navigator. Allows you to export lists of emails and such to CSV from a sales navigator search. E.g. Search “CEOs of accounting firms in TX with 50-200 employees” and it’ll give you name, email, etc for them, position, years experience, etc.
  • Pros
    • Gives you lotsa data from the LI profile; can take all the data that you’ve got on a LI sales nav search (e.g. 10 pages of data) and it can put that into a CSV.
  • Cons
    • Its differentiator over Phantombuster is that is gives us emails, BUT we don’t really use the emails since they’re mostly personal emails. And thus, the differentiator is not very valuable to us.
    • Can’t do as much as Phantombuster since this is only for LinkedIn and Phantombuster can scrape all sorts of places
    • Kind of expensive

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://d7leadfinder.com/
  • What is it?Thomas said: “Used it a lot like 4 years ago and not much since. The product might have changed since I used it, but the way I used it was that it gives you a list of categories like phantombuster. Could choose category like accountants, lawn services, etc. gives you the option to put in the location like city, and radius, and then it gives you the results and prospect info but you shouldn’t rely on it. more like phantombuster than apollo. it’s pulling google maps data. Super Cheap”
  • Pros
    • It uses real google maps data rather than a potentially outdated database of data
    • Easy to use
    • Doesn’t take long to compile the data since it’s already there
    • Very cheap
    • A lot of options. If you’re starting and don’t know what industry to choose, you have hella options to TEST. You can test so much
  • Cons
    • I wanted to target different types of businesses; my clients had different needs. One of my clients wanted to target ecomm but you couldn’t really. Used to be mostly about google maps
    • Everyone has access to the same data

• Client types it is generally best for

  • Company Size?
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality🤨 "Meh" Quality / Kinda Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • Tool URLhttps://crunchbase.com/
  • What is it?Lead gen database that’s primarily used for companies where you want to find their funding
  • Pros
    • Primarily used for companies where you want to find their funding. (You can filter by funding round)
    • Been around for a long time.
  • Cons
    • Zach note: Doesn’t have loads of sites / businesses profiled on it. (e.g. uploaded 850 CrossFit sites and only 25 were matched to CB profiles)
    • Poential data quality issues. Seems like they show you the good leads at first and then when you buy a list they often suck.
    • Convo between Zach & Thaiane, RE Quality: Zach: "do you feel that CB is categorically bad enough that I should make notes on the taco db item about it maybe sucking? Or do you think that maybe you specifically got bad luck with it?" Tha: "I don't know about the other niches, but at least in my case, I'd say CB is quite bad, mostly regarding outdated info. And the filters don't work so well (or maybe their categorization). I'm trying to "save" my CB list now and don't start from scratch, but that's smth I'd love to know if I were starting the course."

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
  • Primary Monetization Style?
    • Products

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality🤨 "Meh" Quality / Kinda Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://apify.com
  • What is it?A no-code scraper marketplace where you can rent pre-built scrapers that developers have already made for a wide range of purposes.
  • Pros
    • When it works, you can get a lot of data for very cheap, and with relative ease, pretty much instantly
    • The more I use it, the more I like it. I primarily like it for lead ENRICHMENT vs. raw lead acquisition.
  • Cons
    • Because the scrapers are mostly built by random devs, it can be fairly hit-and-miss, and quite janky at times

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • What is it?When you need an AI to “do some googling for you,” this Perplexity automation is the way to go.
  • Pros
    • Great for generalized research and "googling"
    • Really good way to get personalization data if you weren't able to find any "for free" from your other lead sources — as long as you're careful!
  • Cons
    • Not good for hyper-specific information
    • Can't actually look at company websites as far as I'm aware; only search result pages
    • More expensive API credits than ChatGPT
    • If you're not careful and test thoroughly, you might send emails with wrong, made-up-by-the-AI information that burns trust and wastes leads

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • Tool URLhttps://www.taskmagic.com/
  • What is it?Taskmagic describes itself as an “automated virtual assistant.” You record yourself doing tasks and it can replicate the actions. A lot of people use it for scraping. It does a lot of things Zapier does, but can run locally on your computer and doesn’t charge you by the task like Zapier would.
  • Pros
    • If you can get it working, you can do some really powerful stuff
  • Cons
    • Really big learning curve. I bought it during a lifetime deal on appsumo and have tried to use it a few times, but I tpically end up spending a very long time and not getting the best results. Haven’t tried it yet for scraping though; I could see it shining there.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • What is it?If you want access to an expensive lead source, such as Builtwith, you can often find freelancers with subscriptions to premium lead gen databases that you can hire to pull a list for you.
  • Pros
    • Cheaper than buying a subscription to the expensive tool
  • Cons
    • Difficult to simulate on your own what the filters will be. Tough to find freelancers who ACTUALLY have accounts on these places, so not a lot of options. When I (Zach) tried it, it was really frustrating due to communication issues and not being able to “tinker” with the filters. I ended up ending the project early because my freelancer was an awful communicator and I wanted to tear my hair out.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality🤨 "Meh" Quality / Kinda Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://apollo.io/
  • What is it?Popular lead gen DB that kinda sucks for data quality AND every agency uses it so lotsa competition for cold email. Heard data is outdated. But not too different compared to Uplead etc. Lotsa competitors with Apollo
  • Pros
    • Easy. Cheap.
  • Cons
    • Low data quality. High competition for these leads.
    • NOTE: RE the “recommended for first campaign” tag, he’d choose instantly over apollo all day in terms of basic lead gen DB options

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality👎 Low Quality / Not Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • What is it?Once you have a list of data, you can have ChatGPT work with it at scale in this automation. (Line-writing, data parsing, etc.)
  • Pros
    • Writing personalization lines from your template — when you already have the markers
    • Reading through a markdown page you already scraped, and interpreting it / extracting data from it
  • Cons
    • It is NOT web-connected, so it can only be used for analyzing data you already got (unless you're happy with it going based on its 2-year-old training data for researchy stuff)

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • What is it?Sometimes people will post projects on fiverr where they’ll offer to build you a leads list for free. The trouble is data sourcing; you have no idea how fresh the leads are, and often no idea where they came from.
  • Pros
    • It feels easy I guess?
  • Cons
    • Your lead quality will likely suck and your campaigns will probably either under-perform or fail.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality👎 Low Quality / Not Reliable

• Our Experience With This StrategyI know it exists but have never used it and haven't even heard good things

• At A Glance...

  • Tool URLhttps://console.apify.com/store-search?search=similarweb
  • What is it?Using Apify to scrape Similarweb results and enrich an existing raw leads for a fraction of a cent (as low as $0.00025 CPL!)
  • Pros
    • Cheaply getting similarweb data such as website traffic, company names, etc.
  • Cons
    • Like all things Apify, it's great when it works, but sometimes it doesn't work and I'm too much of a pleb to know what to do / how to troubleshoot it when it doesn't 🤷

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://dyf.link/snov
  • What is it?Zach & Thomas’ go-to #1 place for emails. It’s allows you to pull email addresses, contact names, and other data from websites. It's also great for verifying emails you got from other sources.
  • Pros
    • Quite reliable and cutthroat when it comes to finding emails
    • Good for when you have a list of domains with no emails
    • It's also great for verifying emails you got from other sources
    • Reliable, cheap, works. Free to start.
    • Great customer support
  • Cons
    • Sometimes it doesn’t have "Prospect" information for smaller business sorts of clients. But you can ALWAYS verify emails even if it doesn't have "Prospects" available for a lead.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • What is it?Having a Virtual Assistant (VA) pull up the websites for your leads and look for info about the business to qualify/disqualify them
  • Pros
    • Simple; useful if there are no other more automated options
  • Cons
    • Very manual process, but you might be able to streamline it using AI.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 3 - Scrape with code
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)
  • Scraped / Human Labor 1 - Copy paste each individually

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • What is it?Having a Virtual Assistant (VA) pull up the LinkedIn for your leads and look for info about the business to qualify/disqualify them
  • Pros
    • Simple; useful if there are no other more automated options
  • Cons
    • Very manual process, but you might be able to streamline it using AI or LinkedIn Sales Navigator.
    • Requires that your leads have LinkedIn profiles consistently.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 3 - Scrape with code
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)
  • Scraped / Human Labor 1 - Copy paste each individually

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • What is it?If you have a list of raw leads that you need to list-narrow or otherwise enrich, sometimes you can do that solely with creative advanced google search querying.
  • Pros
    • More efficient than an open-ended “click around the website and look for XYZ” sort of process
  • Cons
    • Still not super efficient and relies on a lot of manual human connection-making. Could maybe automate it with AI though if you had taskmagic talk to chatgpt about search results or something.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 3 - Scrape with code
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)
  • Scraped / Human Labor 1 - Copy paste each individually

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://dyf.link/snov
  • What is it?The easiest automation-driven approach to getting "Prospects" (a.k.a. name + email + job title) from Snov. See the main Snov page here in the taco ingredients DB for more info on Snov in general.
  • Pros
    • Super easy to run
    • Doesn't require hiring a VA
  • Cons
    • Low list yields, depending on your niche and how often Snov can find "Prospects" for them (30-60% yield) As a result, you'll either need a VA to get the harder ones, or a large list going in where you can accept the low yield (at least at first — can always have a VA get the hard ones for subsequent campaigns)

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • What is it?Using ChatGPT to handle the list cleaning steps, instead of having a VA/proofreader do it
  • Pros
    • You can process huge amounts of data easily
    • Not prone to human copy/paste errors, typos, etc
  • Cons
    • Doesn't have the flexibility or "lean-ness" of a VA following an SOP
    • If you're cleaning personalization data attributes, it can take a while to get your ChatGPT prompts dialed in

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • Tool URLhttps://apify.com/dyf/webpage-to-markdown
  • What is it?A scraper Zach had built that will scrape a webpage, convert it to markdown, and add it to a spreadsheet for you to analyze with ChatGPT or whatever later
  • Pros
    • Cheap (As low as $0.0002 CPL!)
    • More reliable than other website -> markdown scrapers
    • Wayyy more reliable than trying to get a page and parse it to markdown in a Make automation
    • Easy
  • Cons
    • Not 100% perfect; sometimes it says a page has content but the content it got is "error page content" like a cloudflare block

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • What is it?If you've already scraped your leads' homepages into markdown, you can use a built-in google sheets formula to check the language of the page contents
  • Pros
    • If you can only work with clients whose websites are in a specific language (e.g. if you're an English-speaking copywriter you prob want to work with English-speaking websites)
  • Cons
    • Given that it relies on the scraper-tool's ability to reliably scrape the content and parse it into markdown — AND google translate's ability to recognize the language of that markdown — it may be less reliable than country-headquarter filtering or other audience geolocation filtering strategies.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality✅ High Quality / Fairly Reliable

• Our Experience With This StrategyQuite familiar

• At A Glance...

  • Tool URLhttps://hunter.io
  • What is it?The O.G. email finder chrome extension. Shows you emails for the website you’re browsing. Thomas doesn’t like it as much as Snov for email-finding though.
  • Pros
    • Easy and straightforward. Free to start.
  • Cons
    • Thomas says it’s not as good (/extensive) as Snov.io.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Scraped / Human Labor 2 - Semi-automatic (e.g. with AI or partial tool assistance)

• Data Quality🤷 Unknown

• Our Experience With This StrategyI've dabbled with it a little

• At A Glance...

  • Tool URLhttps://anymailfinder.com/
  • What is it?A tool that allows you to tell it a job title you want it to find a contact for at a company, and it finds them for you.
  • Pros
    • Easy. Just say "executive level," "marketing," etc. and it'll go find contacts and verify their emails.
    • Powerful — It found me people from job titles that Snov didn't
  • Cons
    • You're restricted to their pre-defined job title "buckets" for the prospect-finding, so if you're looking for people outside the options they give you, you're kind of out of luck
    • Doesn't seem to offer any granular control over the positions in the job title bucket
    • Only returns one result I think, so what happens when a department might have two people holding your desired title....?
    • The verifier is not amazing; Neil reported a 5% bounce rate on AMF leads that he didn't run through an additional verification pass with Smartlead's verifier
    • The "fuzzy match" behind the buckets is maybe not awesome sometimes. Thaiane reported many managers etc. getting bucketed into the "Marketing" role.

• Client types it is generally best for

  • Company Size?
    • Larger companies where an employee is your point of contact & key decision-maker
    • Smaller companies where the owner is your point of contact & key decision-maker
  • Primary Presence?
    • Online / Digital (SaaS, ecomm, course creators, agencies, etc)
    • Brick & Mortar (Gyms, retail stores, restaurants, construction, etc.)
  • Primary Monetization Style?
    • Products
    • Services

Other Info:

• Data Acquisition Style
  • Purchase (instant access - e.g. from broker)

• Data Quality🤷 Unknown

• Our Experience With This StrategyI've dabbled with it a little