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founders.menu 032 » quickly identify prospect emails on LinkedIn

10x new ingredients added, leveraging the ladder of inferences and many creative ways to leverage AI in your daily business operations.

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Starter » take bite-sized action

TOPIC: QUICKLY IDENTIFY PROSPECT EMAILS
We’ve all been there. Lengthy searches for the right kind of prospects to reach out to on LinkedIn, but even after reaching out, it becomes clear very quickly that a direct reach-out on LinkedIn is probably not enough because most people don’t check LinkedIn often enough or simply won’t reply to a “connection request”. Reaching out via Email on mass, however, tilts the prospect’s willingness to reply in your favour. I’ve seen this personally as have many other people also – this is how you can quickly identify prospect emails:

  1. Go to Clay, create an account and install the Chrome extension.

  2. Go to LinkedIn and perform a specific search for the ideal prospect profile you want to reach first and foremost.

  3. Now run the Clay Chrome extension and see what profiles have emails that you could use.

  4. Next, go through a couple of pages until you have spent the first 10 credits on your account and make sure to open each LinkedIn profile, so you can use ChatGPT to personalise a reachout message that is highly specific for their profile and expectations.

  5. Now, reach out to them individually. Do the thing that doesn’t scale first and you will learn the most to find the best way that scales next. Keep the emails super simple, tying the prospect personalisation into a single-sentence “what you do“ pitch alongside why their current status quo would make you two a good fit to work together. Everything after this is follow-ups and more reach-outs through trial and error.

There are of course other Chrome extensions to help you do the same like Hunter.io, useartemis.co, snov.io, GetProspect and many more, but Clay honestly has the most generous free plan – just pick one and try this out!

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Desert » hack your founder’s mindset

The Laddder of Inference ↓
Originally developed by Chris Argyris, the Ladder of Inference is a decision-making tool to help you avoid jumping to conclusions by examining your reasoning processes. By consciously working through the outlined steps, you can identify where you might be making unwarranted assumptions and ensure your decisions are based on objective reality. Its best applied as a reflective practice to allow for better reasoning and improved outcomes in decision-making – this is how you apply it ↓
[1] Identify Your Current Step → Determine where you are on the ladder— are you ready to take action, or are you questioning your assumptions
[2] Question Your Actions → Challenge why you believe your intended action is correct and consider alternative options.
[3] Examine Your Beliefs → Reflect on the beliefs you hold and what conclusions in the past or present led you to them.
[4] Analyze Your Conclusions → Consider why you reached your conclusion and what assumptions underlie it.
[5] Assess Your Assumptions → Evaluate the validity of your assumptions and explore why you hold them.
[6] Review Your Interpretations → Look at the data objectively and think about other possible meanings.
[7] Consider Selected Data → Identify any data you may have ignored or other sources you haven’t considered.

By systematically working through these steps, you will avoid hasty conclusions by encouraging a thorough examination of your thinking process. It emphasizes the importance of questioning your assumptions and interpretations to make better-informed decisions.

It’s best applied to challenge your thinking and the thinking of others in collaborative processes, when the status quo just doesn’t feel quite right.

Originally by Chris Argyris, adapted by Julian Paul

Ponder this →  where are you about to make a business decision based on an already-made conclusion? How could the ladder help you tackle underlying assumptions to reach a more informed decision?

Sides » this week on early.tools

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Fín » food for thought

Greg Isenberg runs latecheckout.studio and The Startup Ideas Podcast amongst many other things. He is a prolific entrepreneur who has leveraged online community to grow startup ideas faster than most other entrepreneurs. His recent breakdowns will make you rethink certain ways you could apply AI to boost your startup growth in 2024 – here are my three favourites:

  1. Use Gong.io to analyze and improve your pitch calls with potential sellers → you can also use this tool to analyse and optimise the revenue your startup is making.

  2. Deploy Mailshake for A/B testing cold email campaigns → you can leverage this for early-stage reach-outs to find out the top strategy.

  3. Deploy Adext Al for autonomous optimization of ad spend across platforms → you can automatically optimize audience segments and budget allocations maximizing revenue.

And so much more of course. There are so many creative ways to use AI tools together to get even more productive these days, I know it might not seem very obvious at first (I know it isn’t for me), but if we try to at least ask ourselves how and where AI could make something we need to do faster and better, I am sure we can rely on our brains to do the rest and connect the proper tooling to make that boost in work efficiency happen – give these a try!

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