I'm crafting a tool to scrape blogs and LinkedIn posts of things that relate to Google Ads, AEO and maybe SEO (we'll see what mood im in). It'll then run it through Chatgpt and creative little digest summaries in email form. Anyone have anyone really smart on LinkedIn they'd recommend following (don't include yourself). Benefit is that I'll share it with you. And if you don't have anyone to add but are interested in receiving this let me know!

🧠 Mitch’s Creative Judgement Framework When evaluating ad creative: - Wait for 8,000 reach before making decisions. - Monitor frequency to assess funnel fit: - Don’t pause campaigns solely based on poor ROAS if: 📊 Facebook Campaign Structure (Meta) Recommended Setup: 1. One Testing Campaign 2. One Scaling Campaign What to do when something wins? - Reiterate and scale laterally: 🎥 Video Creative Strategy: The “100 Variations” Play **If a video gets good throughplay (i.e., watched 15s+), don’t reinvent—**multiply: - Keep the same hook. - Change: This is a volume game with signal-first logic. Don’t overthink “originality.” 🎨 Winning Creative Types (Remixable Framework) Here’s the list, refined with notes on where and how they perform: 1. Founder Story 2. Us vs. Them 3. Feature & Benefits 4. Product Demo 5. Customer Testimonial 6. Actual UGC What works on TikTok often translates—lean into this rawness. 🧱 Meta Advantage+ Shopping Campaigns (ASC) - Needs ~150 purchases to exit learning and operate efficiently. 🧪 Audience OS & Measurement Strategy If discussed: Audience OS likely refers to Meta’s machine-learning-led audience modeling. Key implication: - Don’t fight the algo by slicing audiences thin. Focus on strong creative signals. - Let the platform find pockets of value as long as conversion data flows properly. 🔐 Stape Setup (Attribution Infrastructure) Stape helps implement server-side tracking (GTM server container). They’ve pushed two angles: 1. Third-party setups (like Meta) with first-party data 2. First-party data must be routed through third-party servers Actionable Tip: - Contact Stape sales → They operate as an agency too, and can deploy full setups if you don’t want to DIY. - Especially useful if you’re seeing signal loss between platform reporting and backend. - You don't need server side tracking on every account. Just for finicky clients worried about attribution and those top % clients looking to scale to the moon. (server tracking is a lot of work)

Anyone got account that needs auditing for today 👀

Great call on Wednesday that unfortunately went unrecorded. I'll try to share the highlights to ensure anyone who didn't attend can get some value. Lead Gen: The importance of adding values to your conversion actions - Within Lead Gen there's usually a few steps within the process and we know how vital it is to be measuring and optimizing towards them - Generally speaking we'll have a configuration like this: Form Submit + Qualified Lead + Customer - If you were to have a campaign optimizing towards all of these conversions and you don't apply a value, Google has no way of understanding which interaction is more important than the other - Instead, it will achieve the easiest-lowest funnel conversion and think it's doing a great job - after all, all conversions in Google's mind are created equal - So, how do we change this? We want Google to prioritize our higher value conversions like Qualified Leads and Customers - this is where we add values! - Now there are several ways that we can approach this, but the most common are to assign arbitrary values (easiest solution) or work backwards off historical data to determine what each interaction is worth - Once you've done that, you'll have your customers worth the highest value, Qualified Leads worth the second most and leads/form submits worth the least - this now allows you to optimize by conv value - Before going ahead with this change, make sure you have enough conversion value data - general rule of thumb is to wait at least a month or a couple conversion cycles - yes, it may take awhile - Once you have a decent amount of this data pooled you can switch your conversions to maximize value and go from there - Down the line you can go one step further and begin optimizing off tROAS - understanding that the reported ROAS value may not be accurate - however we know that the ROAS and CPA will correlate to each other and be an indicator of what direction we should adjust our bids - I've found that we've gotten lots of scale out of this tactic, much more than I got out of tCPA for a past 6-figure/month ad spend client - Remember to make LOTS of custom columns to understand what's happening in your account - Side note - I did endorse broad match (once you have enough conversion data) as I've seen it produce more qualified leads and also help with scaling/volume - If you're using broad match - treat your search campaigns like shopping and monitor your search terms to add negatives - this should be done weekly and will help funnel your perfect user type

Thanks to Glen and Ayush, I recently became acquainted with: https://ai.smartmarketer.com/ Initially it was to help a consulting client make better Facebook Ads, but I think it can be multipurpose and if build prompts utilizing deep research (when necessary) you can build powerful ads for either platform. One custom GPT that I've really liked using for Google Ads is: https://chatgpt.com/g/g-675bc866aab08191812bcb914d9ac00f-google-ads-copywriter What are ya'll using?