Eyal David

I teamed up with Zsuzsa Kecsmar, Co-founder & Chief Strategy Officer at Antavo AI Loyalty Cloud , to talk about how to increase loyalty revenue by 4X by adding more engaged and VIP profiles ahead of BFCM 2025. Together with Mailability.io, we built a strategy that combines AI-powered loyalty + AI-powered email intent scoring to drive real Klaviyo revenue. Because here’s the thing: Most brands treat loyalty like a standalone program. But when it’s connected to Klaviyo and powered by intent data it becomes a scalable growth engine. Here’s the 3-step approach we mapped out: 👉 Use Antavo AI Loyalty Cloud to track loyalty tiers, reward history, referrals, and behavior, directly in Klaviyo 👉 Let Mailability.io assign real-time Intent Scores to every profile, so you know who to activate, upgrade, or re-engage 👉 Combine loyalty status + intent to trigger AI flows and campaigns that match real customer behavior What that unlocks: → Push VIPs to repurchase faster with tier-based incentives → Invite high-intent shoppers into your loyalty program at the perfect moment → Re-engage inactive members with personalized offers and AI-driven flows and campaigns The result? → Smarter audience targeting → Stronger pre-BFCM engagement → 4X+ loyalty revenue from your best customers If you’re planning to maximize retention and LTV this holiday season this one's worth a swipe. Full breakdown in the slides. Let’s make loyalty work harder. Want to learn more? → https://lnkd.in/dCdwyQ2d

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Moving to the US could be a startup's best move    Relocation to the US significantly increases the chances for international startups to become unicorns, according to our research.    For example, 44 Israeli VC-backed startups that moved to the US reached unicorn status. By contrast, only 3 unicorns in a comparable US-based sample were based in Israel. This suggests that Israeli startups relocating to the US are about 15 times more likely to achieve unicorn status.    We observed similar trends for other countries:  – India-founded startups relocating to the US are 6 times more likely to become unicorns (12 vs 2).  – UK-founded companies see an 8.5 times greater chance of achieving unicorn status after moving to the US (17 vs 2).    These numbers indicate that the US offers unique advantages for high-potential startups from around the globe, particularly from countries like Israel, India, and the UK.    Thank you to the Stanford University Graduate School of Business Venture Capital Initiative for support.    Note: all unicorns in our sample must be US-based at the time of their first unicorn round. 

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I still see people whiff this part of the budget all the time... (please tell me you won't miss it this year 🤞). My favorite part about the budgeting process: It's late October 🎃... Revenue and EBITDA look good, you're about to hit submit, and then from the shadows someone yells, "𝙬𝙖𝙞𝙩, 𝙬𝙝𝙖𝙩 𝙖𝙗𝙤𝙪𝙩 𝙘𝙖𝙥𝙚𝙭?" Everyone looks around and then the "ohhh whoops" feeling sets in. We forgot capex. 𝘊𝘰𝘮𝘱𝘭𝘦𝘵𝘦𝘭𝘺. Why? It's not part of the P&L so it often gets overlooked until the end. The truth is -- Capital Expenditures or "𝗖𝗮𝗽𝗲𝘅" 𝗶𝘀 𝗶𝘁𝘀 𝗼𝘄𝗻 𝘀𝗲𝗽𝗮𝗿𝗮𝘁𝗲 𝗯𝘂𝗱𝗴𝗲𝘁. It just happens to hit the Balance Sheet instead of the P&L. There's good news, however -- it's actually a fairly easy process. But first, what is "capex"? Capex is cash we 𝘀𝗽𝗲𝗻𝗱 𝘁𝗼𝗱𝗮𝘆 (to acquire an asset) that benefits us 𝗶𝗻 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲. We depreciate the 𝗰𝗼𝘀𝘁 in the future to satisfy the "Matching Principle." Why depreciate? If I buy a delivery truck, that truck will help me generate Revenue over the next ~8 years or so (by making deliveries). So, I need to "match" its cost against the Revenue it helps me generate. With that in mind, here's how we can build it: Look at the image below... I've got two identical sections that do slightly different things. The first is the "capex" section, and this is where I list the project and its cost. So for the first entry, I'm saying, "I'd like to buy a $75,000 truck in Feb. of 2027 and I think it will last me 8 years (the "useful life")." And you can see over to the right the 𝗰𝗮𝘀𝗵 𝗶𝗺𝗽𝗮𝗰𝘁 -- $75,000 goes out in Feb. of 2027. Now, the second section: You can see that same new truck is listed at the top, but over to the right it's different... In Feb. 2027 you see $781 that continues monthly. That is the 𝗱𝗲𝗽𝗿𝗲𝗰𝗶𝗮𝘁𝗶𝗼𝗻 = $75,000 / 8 years / 12 months = $781 per month. Effectively, the depreciation makes an accounting adjustment to my cash cost so that the expense of the asset 𝙢𝙖𝙩𝙘𝙝𝙚𝙨 the Revenue it helps create. From there, it's a link-up to my Three Statement Model: ✓ (1) Capex links to the Fixed Asset account like this: Prior Period balance 𝘱𝘭𝘶𝘴 the new Capex (if done correctly, I should see the $75,000 in the Cash Flow Statement) ✓ (2) Depreciation links to my Income Statement, and; ✓ (3) it gets captured on my Balance Sheet in Accumulated Depreciation: Prior Period balance 𝘱𝘭𝘶𝘴 the new Depreciation (if done correctly, this will zero out any "cash impact" of Depreciation in my Cash Flow Statement) The net impact of it all? Cash out the door today, but with the correct accounting treatment depreciating the cost in the future 👍 Hope this helps 🙂. 𝗘𝘅𝘁𝗿𝗮 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀... 📥 Download 𝗰𝗮𝗽𝗲𝘅 𝘁𝗲𝗺𝗽𝗹𝗮𝘁𝗲 👉 https://lnkd.in/e75jhi3d 🧠 Take a modeling 𝗾𝘂𝗶𝘇 👉 https://lnkd.in/eccYpT-R 🎓 Master 𝟯 𝗦𝘁𝗺𝘁𝘀 & 𝗖𝗮𝘀𝗵 𝗙𝗹𝗼𝘄 👉 https://bit.ly/FMECourses

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Ever since Eyal Melamed joined as our VP R&D, we've been having some incredible, thought-provoking conversations. These aren't your typical executive check-ins. We get into the weeds on the technical challenges that fascinate us both - the kind of deep infrastructure work that brought Eyal to Rise in the first place. We talk about what it truly takes to make AI work at scale in ad tech - a massive undertaking that spans tackling infrastructure challenges, processing hundreds of trillions of data points in real-time, and building auction systems that simply never fail. Eyal calls our Smart Auction Management technology "one of the most sophisticated AI-powered auction engines in the industry." Coming from someone who’s seen and navigated scale at some of the most advanced tech organizations, that hits differently. This piece came out today about his take on what we've built here. https://lnkd.in/dbuSK2Nd Honestly, during all these conversations, one thing became clear to me: we’ve spent so much time building that we haven’t shared how we actually think differently about AI infrastructure. We’re built on a foundation of big data expertise - processing hundreds of trillions of data points every single day (take a moment to let that sink in..). We’ve engineered AI-based autoscaling that maintains performance at millions of requests per second. Our optimization models don’t hide behind black-box magic - they deliver transparent, explainable results.  And now, we’re layering Gen-AI on top of an infrastructure that already runs at scale like few others can imagine. So something this big calls for something new: Every week, I'll be sharing insights from our journey building AI-driven programmatic technology - the technical and strategic thinking behind systems that actually work in production. Excited to share the lessons we're learning while building AI at scale. P.S. Curious what you see here — authentic photo or AI-generated?

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