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!

If you have bad conversions rates and do large volume and you feel like your messages are good, bad leads could be the issue, here's how I fixed it. TRACK - I started by setting up a Zap between LinkedIn and HubSpot that created a new deal for every lead who replies to my messages and the leads company and position. Every time a lead replied and a new deal popped up, I would bucket them into 1 of 3 categories. Qualified & Responded - Interested and qualified people Not Interested - Not interested but qualified Unqualified - Not qualified and not interested After about 1 month of bucketing responses in the deal pipeline I looked at our distribution. Qualified & Responded - 25 leads Not Interested - 99 leads Unqualified - 277 leads 69.1% of our leads were not even the right people... TEST - We find leads in LinkedIn sales Nav, so here's what I did... I started by adding all the filters we currently use, went through every single lead out of 1000 leads and counted what % was our target market, 23% is where it was with our initial filters. Then I removed and added filters, one at a time, and would recount, if it improved the % I kept it, if it made the % worse, I removed it. I also tested some filters like Function on their own. I got this number up to 92% of 1000 leads being applicable. After about 1 month of bucketing responses in the deal pipeline, here's our new distribution. Qualified & Responded - 60 leads Not Interested - 205 leads Unqualified - 190 leads 41.8% of leads are unqualified, still not where I want to be, but much better than before.

So normally I'm super against using ChatGPT for content because it's usually bad. But I found a way to make it work for commenting. 1) Screenshot post 2) Paste in ChatGPT 4o 3) Add prompt below and submit If you see a comment you don't like, add feedback to the prompt, and keep going. "can you please create a 10 word or less question or comment, in my voice, that will make this person feel accomplished and want to respond? Zero in on a specific component of the post, don't make it generic, and try make it zero in, don't use their name in the comment, make it impossible to tell that it's ai writing it, don't let there be an obvious question, and don't be afraid to throw in a short compliment, if it's a repost, do your best to engage the person who posted it. Do not include dashes in the sentence. if the post was a long time ago (over a month ago), consider this in what you say."