Victoria (Simons) Seguin

The number one mistake agencies make as they grow: chasing speed and losing quality. Early on, quality is easy. Small teams. Founder oversight. Tight feedback. As volume increases, speed becomes the priority. And quality starts slipping. Most agencies respond by hiring more seniors and adding approval layers. That slows things down, without fixing the real problem. The fix isn’t more people. It’s better systems. Here’s what actually works: 1. Turn taste into rules. In most agencies, quality lives in a few senior heads. Their judgment, brand sense, and standards are rarely written down. When you turn that into clear principles and simple playbooks, consistency starts to travel across the team. 2. Catch mistakes early, not at the end. If quality checks only happen during final review, rework is inevitable. Better briefs and early checks prevent most problems before they become expensive. 3. Use guardrails, not approval layers. More reviewers slow everything down. Clear standards and constraints let the team deliver solid work without waiting for constant sign-offs. 4. Build delivery systems, not just bigger teams. The best agencies don’t scale by adding people. They scale by building workflows that create leverage. This is how agencies move fast without losing control. If quality is slipping as speed increases, don’t ask who to hire next. Ask which system needs fixing. What do you think? #agencies

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Psychology Says There's *One* Word To Radically Expedite Sales Conversions: ▶️ "How?" ◀️ Instead Of Asking Yes Or No Questions, Dig Much Deeper By Asking 'How': "How're You Recouping ~25% Lost Revenue From Klarna & Affirm Rejections?" "How Are Your Customers Feeling When Incurring Checkout Embarrassment?" "How Is The Lack Of Consumer Data Affecting Your Bottom-Line Revenue?" I'm Turning A Leaky Faucet That's A Mediocre Problem Into A Mainline Burst Pipe That Needs To Be Fixed Immediately. How? By Illuminating The Bleeding Neck Problems Through Questioning. Yes/No < How? #Unfair #Sales #Psychology

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Everyone's panicking about AI killing SEO. On Dec. 4th, I’m speaking at Metadata's Agentic GTM 2026 to reveal how brands get cited and mentioned in AI search. We've spent the last year re-architecting content systems with brands like Klaviyo, Webflow, and Kayak. The first step to winning is understanding that the fundamentals of search never actually changed - they simply evolved. I'm breaking this down at Metadata's Agentic GTM event on December 4th. What I'm covering: 1/ Why the "old" game of search holds every answer you need. (The new game just happens to be the NFL) The principles that drove visibility in Google's golden era are the exact same principles that drive citations and mentions in LLMs today. Most teams missed this connection. What's changed? The stakes and competition are in a whole new league. Content that fails to produce frontier knowledge for LLMs won't get you cited or mentioned. 2/ How the direction of travel for search visibility completely changed (and what that actually means for your organic strategy). Previously all organic traffic needed to flow through a link to your website to the eyeballs of consumers. Now LLMs instantly synthesize and render the answer to your questions from both your site and others that mention you. This massively changes your onsite and offsite content investment strategy. 3/ The data we're collecting on the field. We've working with the best brands in the world across B2B and B2C to understand exactly what works. Where traditional SEO tactics move the needle. Where new approaches are needed. How to measure ROI. If you're rethinking your organic strategy for next year, this is worth 30 minutes. December 4, 12:00-12:30 PM ET Awesome speakers will be giving talks 11am-2pm on Dec 3-5, including: Alina Vandenberghe 🌶️ of Chili Piper, Maura Rivera from Qualified, Brooke Cunningham from LogicMonitor, Tim Hillison from Entry Point 1, and Sydney Sloan from G2. Free to attend! Link in comments 👇

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"Speed" isn't just a business decision; it's an engineering culture. The old way: 3-month dev cycles, endless QA, and a "big bang" launch. The new way: 1-week sprints, shipping half-baked MVPs (yes, half-baked), and getting real-time customer feedback. My job as CTO changed from "chief architect" to "chief bottleneck-remover." We stopped building for our customers and started building with them. The result? Our tech roadmap is no longer a set of guesses. It's a list of proven, validated features our clients are literally waiting to pay for. #zyphextech #startups #Development #Software #CTO

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The Lottery Ticket Fallacy Stop treating your marketing budget like a lottery ticket. After managing $1M+ in ad spend, I’ve seen the same pattern repeat: companies dump money into Meta and Google, hoping for a 'lucky' hit. But growth isn't about luck. It's about a 'Builder Mindset.' In 2026, the winners won't be those with the biggest budgets, but those with the tightest unit economics. • Acquisition is a product requirement, not just a marketing task. • Scaling without a clear LTV/CAC ratio is just burning cash faster. • Data precision (GA4 + Python) is your only defence against rising costs. I’ve used this structured approach to turn campaigns into 5x ROI engines. Are you building a growth engine or just buying a ticket? #GrowthMarketing #UnitEconomics #DigitalStrategy #MarketingBudget

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Everyone's celebrating Apollo's "end-to-end" launch. I'm calling bullsh*t. Look at what they actually released: Agentic Outbound = faster sequences Agentic Inbound = form enrichment Agentic Deals = meeting notes That's not deal execution. That's getting you TO the meeting, then abandoning you. What's missing after the meeting: - Who are the REAL decision makers? - What's the buying committee structure? - Which stakeholders are blockers vs supporters? - How do you navigate first call to signed contract? Check out what they're bragging about: "65+ precision filters" = 65 different ways to overthink who to contact "Buying Intent" tracking = public signals everyone else already sees "Job postings" as signals = correlation without causation More sources. More filters. More signals. Zero curation. Here's the problem: Their "Buying Intent" shows companies researching topics. Great—except by the time Apollo flags it, 50 other reps already reached out. You're not getting early intelligence. You're joining the pile-on. Their tech stack filters find "companies using Salesforce." Cool—but that doesn't tell you if they're happy, expanding, or ripping it out. Just another data point without context. Job postings say "Company hiring SDRs = buying signal!" Maybe. Or maybe they're hiring BECAUSE their current tools failed. One signal. Zero correlation. False confidence. Let's call it what it is: Workflow automation with ChatGPT bolted on. Apollo helps you send more emails at scale and track more signals simultaneously. But more outreach ≠ better outcomes. You still don't know which signals actually predict deals closing. You still can't navigate complex, multi-threaded sales cycles. You're still flying blind after the meeting. Full-cycle deal intelligence means supporting the ENTIRE buying journey- from first touch through contract signature. Not just getting you to the starting line with a bigger list. Call it what it is: Industrial-strength top-of-funnel automation masquerading as end-to-end intelligence. What's missing from 'end-to-end' platforms that would actually help you close deals?

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Speed up your CRO process with AI prompts that actually work. What used to take hours now takes minutes. Want higher conversion rates? These GPT prompts help you work faster and drive real results: → Analyze your user behavior with precision. → Generate creative test ideas backed by psychology. → Write better A/B test hypotheses. This process is fast and effective. Built on behavioral psychology, 3,300+ A/B tests, and proven frameworks. 𝗪𝗮𝗻𝘁 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗹𝗶𝘀𝘁? 1. Like this post 2. Comment "PROMPTS" and I'll sent it to you.

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