Adam Sharon-Zipser’s Post

We resolved the big discrepancy between our #Meta and #Shopify Customer Acquisition Cost (CAC). Here's how 👀: Shopify attribution uses last-click attribution while our Meta campaigns use a 7-day click model. We found out that this has been causing great inconsistencies with reporting #CAC, so we shifted our Meta campaigns to a 1-day click attribution model to align more closely with Shopify's tracking. This allows us to optimize towards more accurate results. After that, we introduced ads similar to historical best performers within the new 1-day click campaigns to maintain relevance and engagement. These strategic adjustments resulted in: 📈 17% improvement in CAC while also 📉 reducing the discrepancy between in-platform data and Shopify reports by 15%, providing a clearer direction for optimization.

Imagine using Meta for targetting on only 2 variables - 1st time and repeat visitors 🛍️ Wont work right?? Then why personalize experience for visitors landing on your Shopify store only on those two variables. At Cooee we look at 40+ micro behaviours to deliver 1-to-1 personalized experience for visitors in realtime, this drives conversions 🎯

"My Meta ads aren't profitable." I hear this from Shopify brands daily. Let's do some simple math... 👇 Here's the reality of Meta ads right now: It costs between $50-60 to acquire a single customer on Meta. Then you need to add your COGS, shipping costs, overhead, and credit card fees. Let's break down a $50 AOV store: Your revenue is $50. Subtract $55 for CPA, $20 for COGS, $7 for shipping, and $2 for processing fees. You're losing $34 per sale. Unless... You have a strong retention engine. That means dialed-in email sequences, proven SMS flows, VIP programs that work, post-purchase offers that convert, and reorder campaigns that drive revenue. When you have a backend, it becomes a CAC to LTV margin game. Suddenly you can afford to lose on first purchase. Outbid your competition. Scale consistently. Take market share. Build a real brand. It's dang hard to win on the first purchase anymore. The money is made on the backend. #d2c #shopify #ecommerce This is exactly why we build retention first. Then scale acquisition. [THE CTC] What's your customer acquisition cost right now?

Shopify brands spent 64% of their Q4 ‘23 budgets on Meta. For context, 2024 YTD is 36.5%, and that % is about to double. (Vs. all other platforms.) That massive consumer behavior shift comes from Customers opening up FB + IG like a massive shop during the holidays. But it’s a double-edged sword. - The volume of ready-to-buy customers makes it an undeniable opportunity. - The volume of competition makes it hard to be profitable. So what can you do? 1. Use a real-time dashboard to adjust your ads strategy (vs. waiting days/weeks for analysis). 2. Pass as much data back to Facebook as possible for the most accurate targeting. 3. Lean into creatives that truly stop thumbs in the feed. With the election driving up pre-holiday CPMs + tight consumer wallets… Genuinely standing out + making compelling offers are what will drive the most sales. Knowing which creative/offer to double down on at the moment. Will make or break your biz this year. Make sure you have the right tools in place. For the brands not using Triple Whale 🐳, sign up today. https://lnkd.in/eyRGpzYS And get the most out of the tool 20k brands rely on to grow faster.: - Real time reporting - Customer Dashboards - Passing 1st party customer data in Meta using their Sonar CAPI integration. This proprietary data is based on the 20k brands using @Triple Whale’s platform. I got a sneak peak at the full report. That’s coming soon. #shopify #triplewhalepartner

Tracking purchases made by new customers directly in Meta Ads. Possibly the best (data-driven) Meta Ads hack I’ve ever created. Able to turn your ad account into a customer acquisition machine* *helped one of my e-commerce clients go 3x last year. The beauty of it is that - if you implement it correctly - allows you to track not only: - the number of new customers - and the average cost to acquire each of them But MOST importantly: - your ncROAS (new customer ROAS) - which is probably the GOAT metric for understanding the customer acquisition efficiency of your ads. All of it using Meta in-platform attribution. And the main question is - am I sharing this to brag about my data skills? Nope. (ok, maybe just a little… 😇) But also I recorded a short video showing you step-by-step how you can implement this for your clients / for your own e-commerce business. If you want to get it, let me know in the comment section of this post, or via DM if you're shy. Let’s crush e-commerce customer acquisition together. #data #driven #ecommerce #meta #ads

"Our Meta ads aren't working anymore." That's what a Shopify brand told me in August. But they were making 3 classic mistakes. Here's how we fixed them... 👇 The Problems... Creative: -One video per month -No testing framework -Basic product shots -Same tired hooks -Poor engagement Email: -Monthly newsletter -Basic welcome flow -No segmentation -"Don't want to annoy people" -$0.08 revenue per subscriber Offers: -Same discount always -One offer fits all -No urgency -Basic bundles -2% conversion rate The Fixes... Creative: -Enough content to test new creative weekly -Hook + Framework testing -Mix of formats -Fresh angles -2x better CTR Email: -3x weekly sends -5 automated flows -Smart segmentation -Better-than-market offers -$0.45 revenue per subscriber Offers: -Mix between $ off, % off, and gift with purchase -Segment-specific deals -Scarcity triggers -Smart bundling -4% conversion rate 90 days later... -Revenue up 23% -Profits doubled -Ready for BFCM All from fixing these 3 fundamental mistakes. Which of these 3 mistakes are you making? #dtc #shopify #ecommerce

STOP USING THE TRAFFIC OBJECTIVE AS YOUR MAIN GOAL TO DRIVE SALES! Consider this scenario: Would you prefer 1000 link clicks at $0.10 per click, but with low-quality traffic directed to your Shopify store? Or would you opt for 1000 link clicks at $1.50 per click, knowing that the traffic quality is significantly higher? While Meta's algorithm may have its flaws, it excels at delivering results aligned with your optimization objectives. By exclusively prioritizing the Traffic objective, you're essentially signaling to Meta, "Here's my money, get me clicks!" If you want sales, then go for the SALES objective.

When you’re about to hit your stretch targets. 🙌 “Such fantastic results!! I think I’m also going to hit my forecast for this month which I thought the numbers were bonkers.” Today I had this message from my client who is running ads across Meta and Google. This is our 3rd full year working together and 3rd Q4. The numbers for this month so far (not hit peak Black Friday yet, so more to come): Meta: £64K sales from £5K adspend - Average ROAS 13  Google: £56.4K sales from £4.5K adspend Average ROAS 12.4 These returns are comparable with last year, even though we were working with half the ad budget, proving that the sales have scaled sustainably & profitably. This is a product with a relatively low AOV, £30, but a fantastic offer and a great store conversion rate 5-7% The secret? There isn’t one. It’s about implementing a strategy and creative system and leaving no stone unturned to uncover opportunities for your sales, year-round. What would results like these mean for your business? Looking to work with a growth partner for your Shopify store in 2025? Send me a message and let’s chat. 👋 #EcommerceGrowth #MetaAds #DigitalMarketing

I have spent years preaching the importance of LTV. 🙌🏼 Because with sky-rocketing CAC… LTV is the ONLY path to sustainable brand profitability. The challenge though… as you acquire new customers, you really don’t know which ones have the propensity to spend a lot of money with your brand. Sure, Meta is driving the bulk of your conversions. But upon that conversion, you are sort of guessing as to what kind of customer they will be. Will they be a one-and-done shopper? PLEASE NOOOO. So….. How do you GUARANTEE that only high-LTV-potential customers enter your funnel? At Disco, after 45 minutes of implementing, we know we will create an instant 1-2% boost in incremental revenue. Set it, and then forget it. Revenue on autopilot, and a much lower CAC than Meta. Not too shabby.  🔥 But here’s my FAVORITE part. The MEGA LTV that comes from Disco-acquired customers. In fact, a Disco-acquired customer will have a 249% higher LTV than the rest of your customer in your database. 💪🏼 Because for every customer that comes through the Disco post-purchase experience… We already KNOW all of their shopping behavior from what those customers have purchased from the other 1,000+ elite brands in the network. Then using machine learning, these high-LTV customers across the network are being served up new brands that are most relevant to their tastes and buying behavior. With this newly acquired customer, you already KNOW they are going drive mega-LTV, because that is exactly what they have already done for other premium brands in the network. So if LTV is that only path to profitability, then you gotta love the fact that… Every single customer you acquire from Disco…. Will be your next BEST customer.

Reach those that are ready to buy with Meta Catalog Ads  💬 Numbers have spoken and the evidence is clear: when it comes to e-commerce, Meta Catalog Ads — featuring products from your Catalog—consistently deliver great results. 🛍️ 🛒 But, to ensure maximum effectiveness, consider these tips: ✔️ Define which products you don’t want to advertise (e. g. gift cards and products with the lowest prices and/or value). ✔️ Double-check the seamless integration between your web store and Meta for automatic data sync. ✔️ Use frames to make your products visually stand out. ✔️ Enhance design aesthetics with tools like Celtra solutions. ✔️ Display price tags and discounts on your items.  ✔️ Incorporate brand name and logo (shown to increase efficiency by up to 43%). Curious to find more? Rent one of our performance marketing specialists >> https://lnkd.in/eH8cs_x8 #optiweb #performancemarketing #metacatalogads #digitalads #metaads