Rodrigo Olivié

294 hook templates to help you crush Q4 2025. This is not another stupid "hook swipe file." This is a curated collection based on: → High-performing ads we made last Q4 → High-performing ads we made this year, with gifting / BFCM versions → Hand-selected organic videos from TikTok & IG reels Each hook template has 3 versions: → Original version → AI-generated gifting → AI-generated Black Friday / Holiday version Thanks to Claude, I organized everything by category: → POV Scenarios → Question Hooks → Gift Templates → Authority / Expert → Urgency / Time-Sensitive PROBLEM THIS SOLVES: Most brands recycle the same tired "Black Friday Sale!" hooks that everyone else is using. Your audience is in scan mode the next 2.5 months. They're looking for specific reasons to buy, but drowning in identical messaging. WHY THIS IS CRITICAL: During peak shopping season, your hook isn't just competing for attention. It's competing against every other brand trying to get into someone's cart. The psychology shifts from "maybe I need this" to "give me a reason to buy this RIGHT NOW." Here's What You Get: ✅ 294 hook templates ✅ Organized by category, type, and use case ✅ Black Friday urgency hooks that don't sound desperate ✅ Peer authority hooks to establish common ground ✅ PSA-style announcement frameworks All categorized. All battle-tested or hand-selected. All ready for the videos you should be shooting in October to launch in November. Want the full spreadsheet? 1. Comment "HOOKS" below 2. Like this post 3. Make sure we're connected so I can send the link Jake Abrams P.S. I'm sending the link to anyone who comments by Tuesday.

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SEO is dead. And 67% of brands still don't know it. Tesla shows the brutal truth: ↳ Single-turn AI search: 33% visibility ↳ Multi-turn conversations: 100% visibility 2/3 of purchase decisions happen where you're invisible. - ChatGPT hit 800 million weekly users. - 77% of searches now end with AI answers. - 27% of consumers use AI for half their searches. - Search queries exploded from 4 words to 23 words. Your keyword strategy? Worthless. SaaS companies burning €500K annually on content. But, only €165K creates actual impact. The rest are optimising for a dead system. Single-turn prompts capture awareness only. Conversion rate is only around 1-2%. But watch what happens in conversations: Turn 1: Broad awareness (1-2% conversion) Turn 3: Active comparison (15-20% conversion) Turn 5: Ready to buy (30-35% conversion) 80% of decisions happen after turn 3. Most brands get 5-10x more coverage in multi-turn. They shift from "one option" to "the clear choice." The patterns are predictable: 1. Start broad 2. Explore alternatives 3. Reveal the constraints 4. Ask implementation questions Same sequence. Every industry. Old success: Ranking #1 on Google New success: Being the trusted answer in turn 5 Conversation intelligence changes everything: ☑︎ See customer intent before competitors ☑︎ Arm sales with real buyer questions ☑︎ Find gaps where rivals are absent ☑︎ Triple ROI from existing content Journey simulation predicts the future: - Which questions lead to purchases - How to optimise each turn - Where people drop off The future isn't keywords. It's conversation territories. From discovery to comparison to implementation. Winners show up at every stage. The window is closing. Early movers build moats. Late movers disappear permanently. In the conversation economy, first wins. Read Daniel's report here: https://lnkd.in/eT-XynnC Save this for later. Repost ♻️ for others.

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The myth of aggressive CTAs is killing your conversion rates. Most CTAs scream “BUY NOW” or “GET STARTED” without addressing the     real friction behind user hesitation.  → People don’t want to feel trapped → They hate immediate commitment → They fear making the wrong choice And yet... most CTAs feel like pressure, not permission.   Here’s what actually works: ➡️ LOW-PRESSURE LANGUAGE ❌ “Buy Now” → ✅ “See Options” ❌ “Get Started” → ✅ “Explore Features” These subtle shifts ease anxiety and can lift clicks by 47%. ➡️ CLEAR NEXT STEPS ✅ “View Pricing (2-minute overview)” ✅ “Schedule Demo (15 minutes)” Clarity removes hesitation. ➡️ VALUE-FOCUSED MESSAGING ❌ “Sign Up Now” → ✅ “Access Free Templates” ❌ “Join Today” → ✅ “View Success Stories” Focus on what they get, not what they must do. When these principles are applied, conversion rates often jump by 60% or   more. The best part? Better leads More trust No pressure Stop pushing. Start connecting. Because the best CTAs don’t yell. They invite. #ConversionOptimization #MarketingStrategy #CopywritingTips  #UXWriting #GrowthMarketing

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OTTO just handed sellers a new lever, manual keyword targeting for Sponsored Product Ads. Beta results show +120% ROAS and +50% CTR when brands take control. This is a big shift for Germany’s homegrown giant. Instead of relying only on contextual placements, you can now bid on the exact search terms shoppers type on otto. Booking runs in Partner Connect, you get an automated keyword report, you can mine auto-suggest, and you set bids per term. In practice, this puts OTTO closer to Amazon’s style of control, with EU retail media nuances. What it means 🔑 Precise query control, fewer irrelevant clicks and cleaner intent. 💸 Comparable CPCs and ROAS to benchmark, easier budget moves from awareness to intent. 🧩 Smarter mix, keep automated SPA for discovery, harvest winners into manual sets. ⚙️ Flywheel effect, search learnings feed titles, attributes, pricing and stock. What to do this week 🧪 Start with margin-safe heroes, confirm price, stock and delivery accuracy in ChannelEngine. 🎯 Seed 25 to 50 core queries per cluster from titles, attributes, synonyms and OTTO auto-suggest. 🧱 Build tight ad groups by use case or subcategory, set conservative starting bids and expand. 🔍 Read the keyword report frequently, add new winners, pause low quality terms fast. 📊 Track CTR, CVR and ROAS at query level, shift budget toward proven intent. Operator lens, this is German precision for your search spend. If you already run OTTO via ChannelEngine, a two week test is enough to see if keyword control beats your current automated SPA baseline. Curious which queries you would bet on first for your category? #OTTO #RetailMedia #MarketplaceAds #ecommerce #ChannelEngine

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The worst-kept secret in ecommerce is out in the open. OpenAI launched checkout, initially partnering with Shopify, Etsy and Stripe to enable direct purchases from ChatGPT. 🛍️ Shopify merchants will be able to sell directly through ChatGPT "very very soon". 🥣 US users will be able to buy from US Etsy sellers through ChatGPT as of yesterday. Etsy shares popped +16% on the announcement . 🌐 OpenAI also partnered with Stripe to build the Agentic Commerce Protocol (ACP) to allow others to integrate. Last night I sat down with Amy O'Brien from Vogue Business to discuss what this means for ecommerce brands: https://lnkd.in/epz9FvN9 You can also see the official announcement from OpenAI here: https://lnkd.in/eg3kp_Pv; from Shopify here: https://lnkd.in/eBf88DVs; from Etsy here: https://lnkd.in/e9huvyiS; and Stripe here: https://lnkd.in/eQm8QTEd. p.s. give Azoma a follow, very exciting announcement coming shortly 👀

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Semrush just gave us a roadmap on how to rank in LLM’s Now, your brand can be visible to 100M+ ChatGPT users. Here are the practical tips - 𝗪𝗲𝗲𝗸 𝟭: 𝗔𝗜 𝗔𝘂𝗱𝗶𝘁  • Open ChatGPT, Claude, Gemini, and Perplexity  • Search "[your company] vs [competitor]"  • Ask "What's the best [your category] tool?"  • Screenshot every response - this is your baseline 𝗪𝗲𝗲𝗸 𝟮: 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗥𝗲𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲  • Take your best-performing blog posts  • Add 3-5 FAQ sections at the bottom  • Rewrite intros with bullet-point summaries  • Turn any data into simple tables or lists 𝗪𝗲𝗲𝗸 𝟯: 𝗔𝘂𝘁𝗵𝗼𝗿𝗶𝘁𝘆 𝗦𝗶𝗴𝗻𝗮𝗹𝘀  • Pitch 3 industry publications with original data  • Comment thoughtfully on 10 relevant LinkedIn posts daily  • Share a contrarian take on industry trends  • Update your company's Wikipedia page (if eligible) 𝗪𝗲𝗲𝗸 𝟰: 𝗦𝗰𝗵𝗲𝗺𝗮 & 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲  • Add FAQ schema to key pages  • Create a dedicated "About" page with clear company stats  • Write comparison pages: "X vs Y vs Z" format  • Publish one piece of original research 𝗕𝗼𝗻𝘂𝘀 𝗵𝗮𝗰𝗸: Ask ChatGPT to critique your current website copy. It'll show you exactly how AI "reads" your content. P.S. Do you use Semrush or Ahrefs?

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"I never look at Google Analytics anymore" a CMO in a €40mil B2B company told me. She's not alone in this. Out of my 10 last projects with B2B marketing leaders, half rarely log in to their analytics tools. Why? Because: ▪️ The data is a mess ▪️ Lots of dashboards no one looks at ▪️ Marketing, sales and finance look at different data ▪️ Every tool gives a different number for the same KPI ▪️ Data shows what's easy to measure, not what impacts the business ▪️ What do you even track when the sales cycles are so damn long? How do you fix it? Albin Yngve shared these tips at our B2Breakfast: 1) Audit your reporting ▪️ Open your dashboards and ask: which metrics drive decisions? ▪️ If the answer is nothing, remove them. 2) Build strong foundations ▪️ Reduce the complexity of your data stack. ▪️ If data doesn’t support decisions, it’s a distraction. 3) Prioritise business value ▪️ Define the decisions you want to enable. ▪️ Translate marketing activity signals into business impact (pipeline, revenue, LTV). 4) Accept imperfection ▪️ No single tool solves everything. ▪️ You'll never see 100%: the dark funnel is real. The data game gets hard when the sales cycles are long. Take a critical look at your data foundation, and move beyond what's easy to measure. 👉 If it doesn't connect to business impact, it's a distraction. Can you relate to the messy B2B data? How are you fixing it?

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SEO & AI Tip: Agentic Buying Is Now Open to Everyone, not just ChatGPT. The ability to complete purchases through AI agents just took a big step forward yesterday. OpenAI & Stripe announced yesterday the Agentic Commerce Protocol (ACP) and that it is now live and open to everyone to build with. That means Agentic checkout that OpenAI just announced for ChatGPT can be built into your own websites, applications, and agents. Think AI-driven transactions that actually complete purchases without needing to click through pages or rely on traditional UX flows. This changes what’s possible for e-commerce teams building AI into their products. Here’s what just became possible: 1 - You can add a shopping agent to your own site trained on your inventory, pricing, and order APIs. 2 - The user can interact via text, voice, or image and the agent can handle the transaction end to end. 3 - You don’t need to rebuild your store, ACP works with your existing infrastructure and a payment processor that supports it (Stripe is already supported). 3 - Any agent, from an on-site assistant to a mobile app, can initiate checkout in a standardized way with you still owning the customer and fulfillment Here is a potential example: Large E-commerce Site With a Visual Concierge Let’s say you run a major e-commerce site in fashion, furniture, or auto parts. A shopper lands on your homepage and uploads a photo of the item they want, maybe a jacket from Instagram, a sofa leg they broke, or a specific wrench that fits their mower. Your on-site AI concierge kicks in: - Converts the image to a vector embeddings to match it against your inventory - Verifies availability, size, and price - Suggests alternatives if the exact match is not in stock - Then calls your ACP checkout endpoint, passes a secure payment token, and places the order No need to browse, filter, add to cart and add payment information. Just ask for it and buy it. Why This Matters for SEO Optimizing your site content, product inventory, imagery, and anything that can help make Agents more easily find the right product for those searching via agents will directly impact how Agents find and recommend your products. Make sure its clear in your data, text and imagery who your ideal customers are for each product to help Agents better match them to the people they're acting on behalf of. Why This Matters for Brands Most brands think of AI assistants as a front-end tool for discovery or support. ACP flips that around. We know that speed to purchase has a huge impact on e-commerce transactions. This may make it even easier and faster for people to find what they want. With ACP: - You remain merchant of record - You control fulfillment, returns, and data - You open up your site to new shopping patterns: mobile agents, voice shopping, post-purchase reordering, concierge style product finders This protocol makes agentic commerce a real channel not a side project.

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this one JSON file makes your ad copy feel psychic it’s called a context profile and it’s the missing piece in 99% of AI-powered marketing here’s how to build one (and why it matters)   most brands dump raw Shopify exports into GPT and expect personalized marketing. what they get is generic garbage. because without structure or context, your AI is guessing. the output sounds generic because the input is generic a context profile fixes that. it’s a structured snapshot of a customer’s behavior: - order history - site activity - promo engagement - avg order value - product preferences - churn signals and it’s stupid simple to build: 1. pull the data that matters use n8n, Triple Whale, or Shopify’s API to grab: – last 180 days of orders – email/promo activity – on-site behavior (viewed collections, abandoned carts, quiz data) – customer tags or notes 2. structure it as JSON (example below): {  "name": "Emily",  "email": "[email protected]",  "customerType": "Returning",  "lifetimeSpend": 742,  "averageOrderValue": 62,  "lastOrder": "2024-06-01",  "orders": [   {    "date": "2024-06-01",    "products": ["Night Gummies", "Hydration Tabs"],    "orderValue": 69   },   {    "date": "2024-03-14",    "products": ["Calm Focus Tabs"],    "orderValue": 55   }  ],  "productsPurchased": ["Night Gummies", "Hydration Tabs", "Calm Focus Tabs"],  "topCategory": "Sleep & Recovery",  "quizResult": "Struggles to fall asleep, wants non-groggy solution",  "preferredFlavors": ["Lavender", "Citrus"],  "pagesViewed": [   "Sleep Collection",   "Calm + Focus Bundle",   "Subscription Page",   "FAQ: Shipping"  ],  "clickedPromos": [   "Mother’s Day BOGO",   "Calm + Focus Bundle Launch"  ],  "abandonedCart": {   "date": "2024-05-27",   "items": ["Lavender Sleep Spray"],   "cartValue": 38  },  "emailEngagement": {   "openRate": 74,   "clickedEmails": [    "Productivity Tips for Night Owls",    "Calm Bundle Launch",    "Hydration How-To"   ]  },  "subscriptionStatus": "Not Subscribed",  "churnRiskScore": 5.8,  "lastEngaged": "2024-06-02",  "device": "Mobile",  "utmSource": "Instagram Ad" } 3. plug it into Claude or GPT: this is where the real leverage kicks in because now you’re feeding the AI a full psychological profile it can think with try prompting it like this: “you’re a performance creative strategist. based on the context profile below, write a UGC script and a 30-second VSL intro that speaks directly to this customer’s needs, preferences, and purchase behavior.” you can use this for: – segmentation-aware email flows – better upsells and winbacks – product recommendations that convert – banger ad copy, hooks, angles and anything else you want your AI is only as smart as the context you give it. this profile turns a generalist model into a laser-targeted strategist. and it works for every part of the funnel.

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𝗗𝗶𝘀𝗿𝘂𝗽𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗱𝘀 𝗚𝗮𝗺𝗲 Yesterday at ADworld Experience I presented an in-depth analysis of how Google Ads auctions work, aiming to deconstruct the underlying mechanisms of these processes and lay bare the real rules of the game. I’m sharing two excerpts: 1 — The definition of competitiveness I formulated specifically for advertising: 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀 → 𝗔𝗯𝗶𝗹𝗶𝘁𝘆 𝘁𝗼 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁𝗹𝘆 𝘄𝗶𝗻 𝗽𝗿𝗼𝗳𝗶𝘁𝗮𝗯𝗹𝗲 𝗮𝘂𝗰𝘁𝗶𝗼𝗻𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝗮 𝘀𝗲𝘁 𝗼𝗳 𝗱𝗲𝗳𝗶𝗻𝗲𝗱 𝘁𝗮𝗿𝗴𝗲𝘁𝘀 consistently → you must be able to win often, not sporadically profitable → wins must be economically positive; otherwise it’s dominance without advantage defined targets → clear benchmarks within fixed perimeters 2 — I demonstrated why 𝗜𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝗦𝗵𝗮𝗿𝗲 𝗶𝘀 𝗮 𝗺𝗶𝘀𝗹𝗲𝗮𝗱𝗶𝗻𝗴 𝗺𝗲𝘁𝗿𝗶𝗰, often overused as a direct indicator of performance. Below is an excerpt of the reasoning in the image. In the first comment, I’ll share the event link where you can access the recordings and the slides. #adwexp

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