Find People Who Fit Your Ideal Customer Profile (ICP)

Priority #1 for all types of outreach is looking for people who fit your ICP. These people get the most value from your LinkedIn posts, the products you sell, or the services you provide. 

LinkedIn’s search filters are a great start. You could find leads based on demographics, industry, or even active job seekers. However, prospecting using this strategy will take hours. You can get back precious time using a LinkedIn automation tool like Botdog. 

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With Botdog, you can import leads directly from your LinkedIn searches, Live event attendees, your lead lists, or even those who liked your recent posts. This ensures that you have a sustainable pipeline of cold and warm LinkedIn leads to reach out to. 

Create Personalized Messages For Each Lead

Most mass messaging tools use {{firstName}} personalizations and call it a day. Prospects get these emails daily (guess what, they don’t stand out). If you want your LinkedIn cold message to resonate, stop using generic personalization strategies. 

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Botdog helps combat these generic personalizations using {{customFields}}. Instead of first or company names, you can use custom snippets for every lead in your pipelines. All you have to do is import leads from a CSV, map out the custom fields, and let Botdog fill the data for you. 

You can even personalize further with ChatGPT. If you have a contact list, upload the CSV to ChatGPT. Let’s use this sample list with data on the first name, company description, and job position.  

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ChatGPT creates custom personalization columns based on existing lead data. For this example, let’s ask ChatGPT to create a PainPoint column based on the company description and job position. Here’s the prompt:

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Here is the output with the new, personalized PainPoint column: 

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Now, you can upload the updated list to your Botdog account and map the custom fields. For this example, we’ll use Position and PainPoint as customField 2 and 3, respectively. 

Remember, the more specific and robust your lead data and enrichment are, the better the personalization.

Nurture Your Existing Network

Don’t just focus on cold LinkedIn prospecting. There’s a lot of value to gain from nurturing those already in your network. That’s because, according to the latest LinkedIn Algorithm update, prospects are 70% more likely to see your next posts if they reply to your DMs. 

However, manually sending messages to each of your connections will take forever. Instead, you can download a list of your connections by going to your account and clicking “Get a copy of your data.”

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Once you have a copy of your connections, upload that to your LinkedIn mass messaging and start nurturing warm prospects. But don’t send messages to leads all at once. That just looks like spam. To avoid this issue, stagger your sending times and volume. 

Stagger Sending Times and Sending Volume 

When it comes to sending volumes, we have to follow LinkedIn’s guidelines. If you’re on a paid account, you can send 150 invitations and 1,000 messages weekly. For a 5-day workweek, that’s 30 invites and 200 messages daily. If you have a newer account, it’s best to send less. 

Remember, you don’t want to send messages all at once. With Botdog advanced automation features, you don’t have to worry about when to send. Botdog mimics human behavior and ensures your account’s safety through multiple safeguards, action limits, and random delays. 

Always Send a Follow-up (But Not Immediately)

Multiple studies found that sending a follow-up 1 day after your initial message reduces reply rates by 11%. Those who wait for up to three days to follow up improve reply rates by 31%. 

But you don’t want to start crafting your follow-ups after day three. LinkedIn mass messaging tools like Botdog let you automate sales outreach sequences from the first message to each subsequent follow-up. 

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Pro tip: You can increase follow-up reply rates by giving prospects a reason to respond instead of just asking if they saw your last message. Share a relevant post, a quick industry insight, or a helpful case study related to their industry.