Hey everyone! Currently looking for the FIRST 5 founding members of the Skool Ads Hub. To learn, gain ad feedback and keep up to date with trends, with a emphasis on reaching profitability through understanding your metrics & KPI’s. With experience helping Skoolers run ad to their communities, I came to realise there’s no specific place for Ad-Talk here on skool, with lots of miss-information and uncertainty around the topic, I wanted to make the go-to place for all things Ads. The first 5 founding members are essential for helping me set the vibe and ethos of the community as well as helping each other improve your ad performance! Here’s the description (if you’re interested in joining!): Running Paid Ads comes with risk... - Profitability challenges - Fear of wasted spend - Steep learning curves ,right? ❌ Wrong. It’s only risky if it’s a gamble. We like to turn uncertainty into controlled strategic experiments. A community for serious Skoolers who want to grow PROFITABLY with Paid Ads. 🚀 Focussing on data & metrics - so profitability becomes inevitable. 🤝 Connect and learn from other Skoolers running ads 📈 Stay up to date on what’s currently working — and what’s not 🧪 Share your ads, get feedback, improve your creatives and copy 🎯 Get crystal clear on your CPA targets and profitability limits 🔍 Identify weaknesses in your Skool community metrics before you scale Join if you care more about margins than hype. Link: https://www.skool.com/skool-ads-hub-3877/about Feel free to shoot me a DM with any queries :)) 🖖

We wanted to test a new offer inside LibertyOS here on skool, and FAST! But there was one big problem: - Organic would’ve taken months to develop enough data. - DM outreach would’ve been slow, inefficient and biased. - And guessing was just too risky. So I came to one conclusion… Ads. But not to scale, to validate. We were in the unique position of having capital to gain as much data, not reach profitability. The only thing was, there was another problem: - How do I maximise ad performance? In other words, how do I ensure we don’t burn through our budget with nothing to show for it? A typical ad spend problem haha So I did what most DON’T (which worked really well)… I worked backwards. Before spending ANYTHING, I hyper-fixated on the maths to see if the theory checked out… Defining max CPA limits based on realistic LTV, churn, conversion rate, retention and ideal CPA. Remember, we wanted to maximise the data acquired with our set budget to prove the validity of this new offer, not reach profitability. This limit was $7 CPA to a free community (lead magnet). The results? In under 30 days: +124 qualified members $3-$5 CPA average (well below $7 CPA limit). Strong new member engagement. Enough solid data to validate if the new offer worked. We realised that this new offer ACTUALLY didn’t have strong-product market fit. Which sounds negative, but it saved us months. Instead of slowly realising it wasn’t working. My main takeaway: If you clearly define your numbers before running ads, and treat it like an experiment, the downside is controlled and upside is relatively predictable. Would love to hear any of your thoughts on this! 🖖

1. Know your TRUE lifetime metrics. A lot of owners just know what their current mrr is. That doesn’t mean anything in terms of ad profitability. You NEED: - Average paid member lifetime (months) - Real LTV (monthly price x av lifetime) Without these metrics, ads are simply a gamble. -------------------------------------------------------------- 2. Clearly understand your CPA (cost per acquisition) limit. Breaking even AFTER month 3 can start to have a huge effect on cashflow. Especially with high ad spend. So calculate your CPA limits for months 1, 2 and 3. This gives you a clear idea on profitability, especially when compared to paid member LTV. -------------------------------------------------------------- 3. Hyper-focus on Free → Paid conversion rate. Ideally, this value is greater than 4%. If lower, fix offer positioning and about page. A good conversion rate amplifies ad effectiveness. -------------------------------------------------------------- 4. Check your MRR retention curve. Specifically for the past 3 months and weighted average values (bottom row of table). If month 1 MRR churn is brutal, ads just pour water into a leaking bucket. Ideally, month 1 MRR retention > 70%. Hope this helps! 🖖