Struggling with CTR over here.. stuck at 1.4% so I'm trying to find ways to get more personalized. I'm testing a Campaign, where I use the "Connections of" filter in LinkedIn Sales Nav to find connections of my past customers I'm going to make a saved lead list for each customer, and then send this message to relevant connections. "Hi [NAME], I helped your friend/connection [Client Name] get X benefit last year on their [RELEVANT PROPERTY TYPE] with 45L, 179D and Utility rebates, does it make sense to see if this will work for you too?" I might split test this with a message including the customers testimonial videos and then have a Calendly link on the loom video Going to have ChatGPT filter positive/negative responses Positive responses get an acknowledgment to what they said and call link Calendly booking will have questions to qualify Please Let Me Know Thoughts!

After analyzing my lead generation strategies, I found that only 54% of my leads were in my target audience—meaning half of my efforts were wasted. Problems: 1. Job Title Filtering Misses Variations: Filtering for specific job titles misses people with differently phrased titles (e.g., "Vice President of Operations" vs. "Operations VP"). 2. Industry Filters Are Imprecise: Industry categories aren't precise enough (e.g., filtering for "real estate" includes agents, franchises, investment firms). 3. Excluding Incorrect Leads Is Difficult: Feedback loops aren't efficient for excluding wrong companies and job titles simultaneously. Solution: 1. Create a Lookalike Audience: Used Ocean.io to build a lookalike company audience, refining until only correct companies remained. 2. Filter by Current Companies: Added these companies to Sales Navigator's "Current companies" filter to generate a month's worth of leads. 3. Exclude Irrelevant Functions: Excluded obviously irrelevant job functions (e.g., excluded "Human Resources" but kept "Operations" since I need financial analysts). 4. Manually Refine Job Titles: Reviewed the first 200 leads to exclude any incorrect job titles, improving the list. 5. Continuous Improvement: When someone responds with "no" or "not a good fit," ask if they're not the right person. If yes, add their job title to your exclusion list for future campaigns. This approach helps you build the most accurate lead list without excluding parts of your target audience—just keep excluding irrelevant job titles as you go. Hope this helps!

Hey, this video shows you how to use Group Message Campaigns in Meet Alfred to generate 100k+ leads & send them all messages. It takes like 1 hour tops to set up. Watch the leads video first! https://www.loom.com/share/e3be9db60cbe4a96be6d3ac5e22ff548?sid=48682474-36bf-4cc0-876d-311ee37d809a