Saar Bell

3rd party comparison page is going to make millions for a lot of brands in 2026. this is a blog-style page that ranks the top products in your category what i like about this format is that it works across 3 placements on google. these are placements where a generic product page or category page just won't cut it. brands that go that route either can’t turn a profit, or struggle to scale to a meaningful spend. 1. competitor keywords. these are searches where someone's looking up a competing brand. "huel protein powder," "huel review," "huel alternatives." you show up in those results pull that high-intent traffic over to your site and let the page do the work of convincing them to buy from you instead. 2. category keywords. this covers "best of" searches like "best collagen supplement" or "top grounding sheets"... along with broader category terms like "grounding sheets" or "collagen supplements." work especially well in crowded spaces like supplements or beauty, where shoppers are more skeptical from our data, running this page in those niches can pull significantly lower CPCs than a standard product page. we rolled this out for a client recently. one month after launch, one campaign generated €14,777 in revenue at a 4.1 ROAS. as we push more budget into it, there’s no doubt the numbers will keep climbing. 3. google discover. this is google's news feed where people scroll through articles (screenshot below). the audience skews older. they treat it like a newspaper. they slow down, read headlines, and actually engage with the content. this landing page format is the perfect fit for that placement, because it looks exactly like something you'd find inside a real publication. bonus: ranking on ai chatbots this page also gives you a better shot at showing up in ai chatbot. ai models want to recommend brands that have strong signals across the web. when someone asks chatgpt for the best product in your category… it doesn’t just pull data from your website. it factors in what independent, trusted sources are saying about you. having a page like this pushing those signals makes it a lot more likely your products get recommended. of course, whether this works for your account depends on your search volume, margins, pricing, and product type. and to be fair, this format isn't new. plenty of brands have been running it profitably on meta for years. but on google, it’s almost impossible for us to find brands doing the same across the 3 traffic sources i just talked about. we've been testing this for many accounts, and the results have been great. so if you already have this page built, test it across those placements. and if you don't, this is one of the best landing pages you can add right now, with the potential to get you an extra 5 or 6 figures a month in revenue.

Here’s 5 things we audit in our accounts every week: 1. Persona coverage. Filter active ads by persona code. Any persona under 5% of active spend is a gap. 2. Funnel stage distribution. Is T (trigger/unaware) represented? It almost never is. - Trigger: problem-aware. They don't know your product exists yet. - Exploration: solution-aware. They know the category. - Evaluation: product-aware. They're comparing options. - Purchase: ready to buy. 3. Partnership ad spend %. Under 10% means brief a new one this week. 4. Comments on partnership ads. Unanswered questions and unchallenged negatives compound. 5. Entity ID duplication. Unnecessarily duplicated ads fragment signal. Merge back where possible. This takes 20 minutes. The accounts that do it consistently outperform the ones that don't.

Why I'm more bullish on incremental attribution on Meta... 1. It's been the biggest way to increase new reach % incrementally in ad accounts at scale that struggle with this. 2. Revenue per visit is between 2-3x higher than standard attribution in most ad accounts I have it running. 3. New customer orders are nearly 100%. The leakage and cross over is much much lower. 4. They are less prone to performance swings. Once the system is optimized (50 conversions) it acts like a growth engine and fatigues less than standard attribution (in my ad accounts). So how do I run these? 1. In creative testing - all ads go into IA now. Why? Since Andromeda was implemented we've noticed less and less "new" traffic going to these pre-heated ads. In fact, it dropped down near 20-30% only. This obviously creates a problem, I don't know if these creatives are scalable. And the reality was, most weren't. So switching to IA helped identify more and more ads that work. BIG win here. 2. I am a massive fan of Flex Ads. A few reasons, Meta's ad retrieval systems love simplistic. Mainly because it makes it easier to digest and identify winning assets. So the more account consolidation on the ad level (where most of the work is being done) are now spread across less ads with more opportunities for Meta to find new winners. 3. IA + multiple traffic sources + flex ads = the scaling machine. We know Meta uses 50% of the creative and 50% of the LP in the ad account. Yet, most of us only optimize one of these two things. Become as diversified on your traffic sources as you are on your creative for larger wins. A few caveats: 1. Please don't switch your entire ad accounts to IA. IA works for me and a lot of my brands, but it doesn't work for all. What I've found is the following: a. If your audience has a TON of retention - test IA b. If you have an AOV above $80-90-100 - test IA c. If you have a long consideration window - test IA d. If new reach is ur probem - test IA For many ad accounts I'm still all in on 7/1/1 and 7DC via standard attribution. But for many, IA is truly the growth engine needed because it's not putting the window of time to act in a short, well, window. It's instead acting as a likely much more realisitic way that consumers on Meta are acting. I really hope other channels adopt this system next.