HUNGR Method - Session Transcript

Full video walkthrough of the HUNGR outbound workflow, recorded live with Claude Code.

Introduction

Hey guys, in this video I'm going to walk you through how to get high value leads.

If it's the first time you're seeing me, I'm Nicolas - B2B go-to-market operator. I've generated over 7 figures in pipeline across all kinds of businesses, mainly in the SaaS, crypto, and AI space. Let's get right into it.

I follow what I call the HUNGR method.

H - Help the Right Business

The first step of HUNGR stands for "help the right business." What do I mean by that?

Not account-based marketing, not ICP-based marketing. We're not going to build a profile around what kind of business we want to help. We're going to understand what businesses are facing the challenges that we want to address.

So, how do you know that someone needs you? This is intent signals 101. If you've been involved in B2B marketing before, you've probably heard about intent signals. All that means is a sign that a company would have a need to buy your product.

Signal examples

Hiring and fundraising

Say you're a B2B marketing agency. A company that is doing their first go-to-market hire - a growth lead or head of growth - is most likely going to want an execution arm to roll out the strategy that person puts together. It becomes very interesting to reach out and start a conversation with that company.

Same thing applies with fundraising. If an early-stage startup has raised their first round, you know they're going to allocate some of those funds to user acquisition, growth, and marketing initiatives.

Social media posts and community activity

What I like to do a lot is monitor communities and social media where I know the founders and teams I want to work with are active. They're sharing what their struggles are on a daily basis, connecting with other founders, talking about their processes - what's working, what isn't. I scrape all of that to understand which of these people have a specific need for the solution that we sell.

Licensing and regulatory data

This one is a bit different. Generally this applies to larger enterprise clients. These can be things like fines and data around any types of consequences that a company faced for actions they took that were not properly risk evaluated.

For example, if you're a B2B SaaS that sells to construction companies, you can scrape permitting data to evaluate which companies have idle equipment. You can then craft a value proposition and outreach messages to people who you know are already thinking every day about the truck they're not renting out - the equipment that is just sitting idle when it could be making money.

The UGC Example - Identifying Signals for a UGC Platform

So I've spun up Claude Code and pulled up the website I'm going to use for this example. This is a UGC platform.

I gave Claude the signals I wanted to focus on, then gave feedback on the output:

"I really like the job postings signal - that's definitely interesting. Ad library signals, I'd be curious to see how automatable and scalable that would be. Social media behavior signals - I'd love to focus more on the founder or personal brands of the teams, or even looking at some of the UGC creators they already work with, rather than the company page. Company growth is a good fallback to get volume. Tech stack adoption I'm going to skip entirely. Content volume I'd love to double-click on. Competitor churn is very interesting - would love to find sources we can use to target those because those are going to be really high-intent."

Some of these I hadn't even considered myself. Churn is very interesting, and social media behavior signals could work too. Ad library and ad fatigue generally is also really solid.

U - Understand and Become That Business

Now jumping into step two - understand and become that business.

You want to talk like them, and you want to talk on the platform that they use.

Two main things to keep in mind when doing any sort of outbound. For example, if you're working with contractors in the US - people that do plumbing, AC systems, HVAC - these people are not really on LinkedIn. They're not going to respond to your emails. They're going to be phone, WhatsApp, and text message people. So that's how you're going to reach them, and potentially also Facebook.

For the UGC example, I ran voice of customer research using app store reviews, Reddit chats, conversations on X and LinkedIn, and other review board content. The goal was to build a structure that really revolves around the key sentences, the key lingo, expressions, acronyms, and phrasing that people in the industry use actively.

Then I saved it to a dedicated markdown file called VoiceOfCustomer. The output is a markdown file you can jump into when you're creating copy.

For example, you see there are people complaining about costs - good creators want $300-500 per video. For AI UGC, you're going to pay maybe one tenth of that on the high side. So this is exactly the kind of pain point we want to target, and it gives you context as to why you want to do that research in the first place before starting conversations with new clients.

G - Gather and Qualify at Scale

Step number three is to go out, gather, and qualify all of the intent signals we defined earlier.

We had a list in our Claude Code session that broke down all the different sources we were going to use to find these companies. Now we tell Claude to go run those sources - grab the companies that are actively hiring, that are posting ads and suffering from ad fatigue, that are using all these intent signals.

Tell Claude: "Go find companies for me that match these criteria."

This is going to be the most technical part of the workflow on one hand, but also the simplest because you have to do very little thinking here. You give Claude what you want it to do, then you evaluate the data and understand which signals are worth pursuing versus which ones are giving you less quality data.

One thing you're going to see a lot here is API keys. An API - to keep it super simple - is a way for computers (in this case Claude) to go and interact with a database or fetch information from the internet without using the website interface. For example, grabbing Twitter posts with an API: you make a call, ask the Twitter server to give you the 10 posts this company made, and you get them back without going to twitter.com.

An API key is just the way to authenticate - to say who you are when you're making that request.

On API key security

In some cases Claude Code is going to tell you "you shouldn't paste it right in." Generally, for data gathering purposes where there's no financial or confidential information attached, I would not worry too much about it. But you always want to make sure it stays only on your personal session - doesn't get spread company-wide or anything public-facing - because there's obviously a risk associated with people making requests using your identity.

Results

On LinkedIn, we got 3,000 roles posted in the last seven days. Combined weekly volume estimate: 600-2,000 leads on 14 signals. Just to give you an idea, this is highly qualified leads that all have active intent signals showing they are scaling their UGC platforms. We did this in about 15-20 minutes. This has not even passed through enrichment - this is 650 companies. Once we do enrichment, the end number is probably 2-3x higher.

R - Reach Out With Value

The final step is to actually reach out to the people we identified.

Three main things to focus on:

1. Lead with value

You want to make sure that people have a reason to answer. You're not just mentioning your product, you're not telling them about your platform, you're not describing features. You're targeting a pain point and offering a solution to it that doesn't even need to reference your platform in the first place.

2. Ask easy-to-answer questions

Oftentimes I see people complaining on social media asking "why do I get emails with yes/no questions instead of just sending the thing over?" There's a very simple reason: it raises reply rates on your email campaign. And the effect that has is it increases your domain reputation, which reduces the chances your emails land in spam - because you have more replies, more organic activity surrounding that mailbox.

3. No links, images, or attachments in the first email

People are going to get suspicious, people don't like to download stuff from people they don't know. And you're also going to raise the chances you land in spam.

Copywriting example

Here's an example for the UGC campaign. What's really interesting from the approach we took is that now we don't just have a list of ICP fits that could use UGC services - we have a list of companies that are actively scaling, actively launching new campaigns, actively hiring for a specific role whose title we know.

We can use all of that to reach out with something very simple: "Hey John, I made a simple clip for your Turkey distribution campaign - can I send it over for you to take a look?"

Very simple, easy for them to say yes, and once you have a reply - instead of spending a bunch of time upfront creating videos for people you're not even able to get in contact with in the first place - now you have a signal. You know there's interest. You know they want to know what you're working on. So you can go ahead, use the platform, create that small piece of value, send it over, and then obviously that assumes the product speaks for itself and makes them want to continue the conversation.

Wrapping Up

And after a bit more work, here we go - the final version.

It's already set up and running on a two-day basis. Every other day these workflows run, looking at new good fits that we can reach out to and start working with.

The final step is obviously to actually run the outreach. For some leads you're going to have the company domain, so you can use Apollo very easily. For others you'll have to get a bit more creative - for those coming directly from Twitter, for example, you can simply reach out on Twitter.

With a well-crafted cold outreach message, I can pretty much guarantee that your reply rate is going to be solid if you apply some of the copy angles I shared here.

That's it for this video. This gives you a very good idea of how to build this all out. If you need any help, feel free to reach out - always happy to chat, look at your exact use case, brainstorm a couple of intent signals, and turn it into a dashboard like this that you can hand to your sales team and start doing some high-quality outreach, either manually or on full autopilot.

My next video will probably be about turning this database into actual outreach workflows and what it takes to start getting responses.