Tweets about B2B Demand Gen and growing an 8-figure B2B SaaS marketing agency. Founder โ€” @poweredbysearch.com. Driven over $100M+ in revenue for clients.

Toronto, Ontario, Canada
Our 10-year target: To be the best in the world at SaaS marketing, doing work we love, with people we like, how we want. โ‡ข We have the best people โ‡ข We have the best process โ‡ข We have the best clients โ‡ข We have the industry's leading results โ‡ข We have the best culture๐Ÿ‘‡๐Ÿพ
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LLM chat history and sessions eating up the majority of my hard drive space was not on my bingo card at the start of 2026.
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The hardest call for a new B2B CMO: what to say yes and no to. Adding channels adds noise. A 90-day system fixes the foundation and lands quick wins: 1-2 Foundation audit 3-4 BOFU quick wins 5-6 Messaging 7-8 Channel hygiene 9-10 RevOps 11-12 Flywheel 13 Board reporting
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12 months for SEO results? Your board loses patience. Competitors run 28-day sprints. ChatGPT answers before you rank page 1. Google isn't the only game anymore. We run 28-day AI search sprints for B2B companies who want to show up now, not in 12 months.
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โ€œYou grant Meta license to host, use, distribute, modify, run, copy, publicly perform or display, translate, and create derivative works of Your Content, including from Connected Services, solely to provide, maintain, secure and improve Muse.โ€
Itโ€™s funny, Meta went from having my Instagram and WhatsApp data to now having access to my email, calendar, DoorDash, Amazon and pretty much everything. In the last 24 hours, it bought me socks, ordered my Whole Foods groceries, booked a cleaning service and got me a burger for dinner. Metaโ€™s last disclosed North American Facebook ARPU was around $227/year, largely from ads. I suspect it can push that number significantly higher now that it understands not only what I look at, but what I need, what I buy and what Iโ€™m planning to do. Also the much bigger opportunity might be becoming the aggregation layer between me and the entire internet. If Meta can take even a tiny percentage of the commerce it facilitates, or of the money it saves me, this could become enormous! It already saved me $200 by canceling subscriptions and services I no longer needed. This feels much bigger than better ad targeting. Ads are useful but giving me money back is better imo. One additional thought: the agent is increasingly making the decisions for me. I knew nothing about that burger place. The agent researched it, told me which burger I should order, and I just said โ€œokayโ€ without giving it much more thought. Agents are becoming the decision makers in both B2C and B2B. Increasingly, every business will be selling not just to humans, but to their agents. Everything becomes B2A: business to agents.
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B2B founder: "We need predictable pipeline." Me: "You're pulling 1 of 3 levers." Net new gets the budget. Nurture and reactivation get ignored. Result: CAC climbs, one channel dips and revenue is at risk. Quarters start from zero. Pull all 3. Qualify by ICP + intent.
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Dev Basu ๐Ÿ‡จ๐Ÿ‡ฆ/๐Ÿ‡ฎ๐Ÿ‡ณ/๐ŸŒŽ retweeted
Underrated life advice: Everything that triggers you is a you-problem. You can either stay upset or work on yourself and become better.
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Your website isn't enough. Your content isn't enough. Your ads aren't enough. B2B buyers are 80% decided before they hit your site. They ask AI, check Google AI Overviews, validate on G2, look for proof, then visit you to confirm. Show up in all 5 or lose the deal.
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A prospect said no to us in 2021, then hired two agencies instead, one for SEO and one for paid, and both hit their targets without talking to each other. 18 months later they came back: "Nobody can tell us where the money's going." One team, one pipeline number, fixes it.
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Back from some epic hiking in the Alps.
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Most B2B brands don't show up in AI answers yet. We built a framework to change that: RAISE. R: Relevance Signals A: Access Verification I: Information Density S: Source Authority E: Engagement Feedback Where does your brand sit on this framework?
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Most agencies won't show you their process before you sign. Ours: meet the consultant running your account, talk to a reference client in your category, get a free pipeline audit. No surprises.
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Flat B2B pipeline is rarely a channel problem. It's usually a misalignment across 3 factors: ICP fit, timing, and message. Get 2 right and you get MQLs that stall, and demos that go cold. Get all 3 aligned (right person, right time, right message), you get pipeline that closes.
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The cheapest lead is rarely the best one. A $50 lead that takes 12 months to close and churns by month 13: -$320 over 2 years. A $200 ICP-fit lead that closes fast and stays: +$18,500 over 2 years. CPL measures nothing. Optimize for CAC payback.
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The level that @ChatGPT and the @OpenAI team are executing at is truly impressive.
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A VP of Marketing spent $35K on LinkedIn ads targeting B2B buyers. What showed up: job seekers looking for W2 employment. Dashboard looked healthy the whole time. When Sales caught it, budget was already gone. ICP first, targeting second, budget last.
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Dev Basu ๐Ÿ‡จ๐Ÿ‡ฆ/๐Ÿ‡ฎ๐Ÿ‡ณ/๐ŸŒŽ retweeted
Wife: "You picked up the kids from school, right?" Me: "Three findings, and one of them is more serious than the question you asked."
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11 months ago, 29% of B2B buyers started research on LLMs. Today it's 51%. They decide before they ever hit your site. If you weren't in the AI answer, you weren't on the shortlist. 68% of enterprise sites block AI crawlers without knowing it. Check yours.
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Most B2B companies with a CAC problem have the same budget split: most spend goes to awareness, a fraction to buyers actually ready this month. You're paying to reach thousands and converting almost none. Build the conversion engine for ready buyers first, then layer awareness.
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The degree to which this is true is inversely correlated with how much of your job youโ€™ve delegated to loops and agents.
if you got hit by a car would your token usage drop to zero
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