✌🏻Jason S.

Here are the results of a brand tracking study on marketing automation platforms (mid-market B2B SaaS segment). When we asked "which brands come to mind first?", about half mentioned HubSpot, Adobe Marketo, Pardot. Everyone else? 10% or single digits. Getting people to think of you is the hardest challenge for new platforms. The big brands already own space in buyers' minds before the buying process even starts. They grab the first 3 spots in the initial shortlist, leaving only a couple of spots left for others. Braze, ActiveCampaign, Customer.io, Constant Contact - these companies have 55-70% aided awareness. Smaller brands like Ortto only 13%. Brand preference: HubSpot dominated with 56% Marketo got 42% Pardot 28% The juicy part? No challenger brand reaches even 10%. Brand perception: HubSpot owns "easy to use" (74% association). Marketo and Pardot split "powerful" and "enterprise-ready." The challengers? They have no clear identity. Braze gets 18% for segmentation. That's their biggest win. Some brands have perception problems. Pardot has solid aided awareness (99%), but relatively low brand preference (28%). There are some reputation problems they need to solve. Constant Contact also has high aided awareness (77%), but only 1% prefer them - signaling an urgent need to modernize perceptions. Here's what buyers said kills their interest in lesser-known platforms: • Economic gap - 42% won't even look at you without concrete savings proof. "It would need to be at least 40% cheaper," one marketing leader said. • Stack-fit gap - 27% demand plug-and-play with their stack. Moving away from HubSpot means potentially breaking 20 other tools. That's career suicide material. • Capability-confidence gap - Buyers assume incumbents have deeper functionality and better service; challengers must supply trials, proof points, and service assurances to earn trust. 20% mentioned AI as their wishlist item. But here's the thing - none of the big players own the AI narrative yet. If you're a challenger brand, that's your opening. But don't lead with "AI-powered." Lead with "Launch a multi-channel campaign in 60 seconds" and then show how. The incumbents have a moat. You need a bridge. Price + proof + integrations + one killer use case = your only shot.

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Reddit threads are now outranking G2, Capterra, and even Wirecutter for high-intent search terms. They’re also baked into ChatGPT, Perplexity, and Google AIO training data, which means: → Brand sentiment on Reddit today will influence AI answers for years. → Threads are source material for how buyers discover, compare, and decide. → This isn’t just SEO anymore, it’s your AI reputation layer. According to Ross Simmonds, CEO of Foundation Marketing, B2B and B2C brands are already feeling it: "You can ignore it. You can just let it be there, or you can acknowledge the fact that the LLMs are going to be training on Reddit for the next few years.” The teams getting it right aren’t just watching Reddit—they’re building workflows around it: ✅ Tracking which subreddits rank for core keywords ✅ Using AI to analyze sentiment, surface repeat questions, and spot keyword gaps ✅ Engaging with authentic, expert-level responses ✅ Turning those insights into content clusters that mirror how real buyers talk Watch the full webinar with Ross for the exact Reddit playbook, live examples, and tactical workflows top brands are using: https://lnkd.in/gUG4tCFW

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5 Hidden Local SEO Issues Costing You $150K+: (Tip: Save this for later! 💾) Your locations are profitable. Reviews are good. Business is growing. But your local SEO? Still running like a single-location business. Here's what I found analyzing 200+ multi-location businesses ($1-50M): 67% are bleeding revenue through local SEO mistakes. The costly leaks I keep seeing: - Multi-location businesses with inconsistent NAP data - Growing brands ignoring review management - Scaling companies with empty GMB posts - High-potential locations missing schema markup - Expanding businesses with generic local content You can't afford these mistakes with your current growth. Why? Quick math: Each location leak = $20-45K monthly revenue loss Total impact = $150-300K yearly leakage Fix time = Under 48 hours Here's the reality about growing local businesses: You've outgrown basic directory listings. But you don't need enterprise location solutions. You need strategic, revenue-focused local optimizations. That's where I come in: - I've helped 300+ growing local businesses - Focus on location revenue, not rankings - Implementation location by location - ROI-first approach, always Swipe through for your 48-hour local action plan → Want a local SEO audit focused on revenue blocks? 🚨👉 DM me "Audit" - I have 2 spots left this month. P.S. Your local competitors are still stuck with basic GMB optimization. That's your advantage 😉

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If you want execs to take product marketing seriously… Stop talking in open rates. Start talking in revenue 💰 The best PMMs don’t just ship assets. They surface leverage. You want to earn a seat at the table? Start showing up with insights like: 📈 “Our closed-won rate is 3x higher in this segment - why aren’t we focusing more here?” 🆚 “We’re losing to [Competitor X] in 60% of head-to-head deals - here’s what we can do about it.” 📉 “This drop in [Product Y] usage signals NRR risk, these accounts are likely to churn within 90 days.” PMM isn’t just about go-to-market execution. It’s about influencing the bets the business makes. The language of PMM should be the language of growth, retention, and competitive advantage. That’s when execs start listening...and thinking "Oh sh*t, this person is actually thinking strategically about the business" That’s when PMM becomes indispensable.

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Most of HubSpot’s 200+ updates won’t move the revenue needle. Two will: Data Hub and Breeze Agents. • Data Hub finally fixes the attribution nightmare CMOs face every LT meeting. • Breeze Agents cut CAC and accelerate pipeline — but only if your playbooks are solid. Here’s the mistake I already see coming: 👉 Companies will flip these on with dirty data and broken processes. 👉 And instead of clarity, they’ll get chaos — faster and more expensive. The best operators will use this moment differently. They’ll clean their data, re-architect workflows, and point AI at the right accounts. HubSpot just drew a line… You either adapt your revenue engine for hybrid human + AI teams… or you watch your competitors pull ahead. (Full breakdown in the video 👇) #INBOUND25 #HubSpot #CMO INBOUND 🚀

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Stacking signals together makes your messaging exponentially more impactful. Here are 2 examples of how you can stack Champion Tracking with Closed Lost to ensure you get these opportunities in the pipeline 🤌

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HubSpot Tip 💡 Spent way too long wondering why my partner-attributed deals report wasn’t filtering right… Turns out, you must select the Association Label at the data source stage, not during report setup. Miss that, and your filters won’t work. Now my partner reporting is finally accurate. Used Association Labels in your reports? Drop your best tips or use cases 👇 #hubspot

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Want to send all purchases server-side but block some based on order tags -- like free samples, wholesale orders, etc to improve your ad optimization? We just rolled out an update that waits for your Shopify Flow processes to run and tag orders with your desired logic and you can now filter these out in your Meta, GA4, Google Ads, or any other destination within Elevar. A small but powerful upgrade in our purchase filtering!

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HubSpot has introduced a deep research connector with ChatGPT. The new HubSpot deep research connector lets you apply powerful, in-depth research capabilities to your data. For example, Sales teams can uncover new opportunities by requesting, “Segment my target companies by annual revenue, industry, and technology stack, then identify the top prospects for enterprise expansion,” and importing these leads back into HubSpot for targeted prospecting. Exciting times ahead, let us know if you want to level up your HubSpot and start embracing these new capabilities. https://lnkd.in/g4ruve8f

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You're drowning in dashboards and data. But is your marketing actually connecting with humans? On the latest episode of the #RevenueEnginePodcast, Mike Braund from Iterable reveals how top B2B teams balance the equation: The problem isn't choosing between data or creativity. It's knowing when to use each. We explore: ▶️ How gut feelings create hypotheses, data validates them ▶️ Why perfection kills innovation (and what to do instead) ▶️ The surprising connection between marketing ops and paid media ▶️ How live demos bypassed their biggest sales bottleneck Full episode link in the comments. #B2BMarketing #MarketingOps #DataDrivenMarketing

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#AI search is rewriting the rules of visibility. If you’re in the home improvement industry, your old SEO playbook isn’t enough anymore. If you want AI-powered search (like Google SGE, ChatGPT, and Gemini) to recommend your business, you need to be seen as the go-to authority in your category—not just a contractor with a couple blog posts. ⸻ Think of your site like a toolbox. If you only have a hammer (your service page), but no drill bits (helpful content), no one—human or AI—will trust you to handle the whole job. This is called #Topical #Authority: 👉 It’s how clearly your site demonstrates deep expertise across your full scope of services, not just one or two pages. ⸻ 🔧 Here’s the content structure we deploy for home improvement clients at Channel Automation: 1. Core Service Page – E.g. Roof Repair in Austin 2. Support Topics – E.g. Signs your roof is leaking, Tile vs shingle cost comparison, Best time of year for roof inspections 3. Related Local Pages – Roofing in Round Rock, Pflugerville, Cedar Park 4. Internal Links – Everything is connected for both users and AI to crawl smoothly ⸻ This works because: ✔️ Every main service is backed by helpful, trust-building content ✔️ Internal linking helps AI map your expertise like a blueprint ✔️ You show up for more types of queries, not just “roofing company near me” ⸻ If your website looks like an island—no context, no supporting content—AI won’t trust it. And it won’t show it. 🔍 Want to make sure your content sends the right signals to AI? Let’s talk. Channel Automation can audit your current site and show you exactly where your topical authority is falling short—and how to fix it.

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📣 [Marketing Cloud on Core] - 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐢𝐧𝐠 𝐏𝐚𝐫𝐝𝐨𝐭 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬​ 🧠 Whether you're 𝐜𝐨𝐧𝐭𝐞𝐦𝐩𝐥𝐚𝐭𝐢𝐧𝐠 𝐚 𝐭𝐫𝐚𝐧𝐬𝐢𝐭𝐢𝐨𝐧 now or 𝐞𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐟𝐮𝐭𝐮𝐫𝐞 𝐩𝐨𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬, understanding how Pardot's core concepts translate into Marketing Cloud on Core is essential.​ 📕 I've authored an article that serves as a 𝐛𝐫𝐢𝐝𝐠𝐞 between these platforms, 𝐡𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐢𝐧𝐠 𝐩𝐚𝐫𝐚𝐥𝐥𝐞𝐥𝐬 such as:​ ⚡️​Engagement Studio vs. Segment-Triggered Flows ​⚡️Prospects vs. Unified Individuals ​⚡️Scoring vs. Calculated Insights ​⚡️+ 2️⃣0️⃣ other Pardot Concepts 🔗 This guide is designed to assist both 𝐬𝐞𝐚𝐬𝐨𝐧𝐞𝐝 𝐏𝐚𝐫𝐝𝐨𝐭 𝐮𝐬𝐞𝐫𝐬 𝐚𝐧𝐝 𝐧𝐞𝐰𝐜𝐨𝐦𝐞𝐫𝐬 𝐭𝐨 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐂𝐥𝐨𝐮𝐝 𝐨𝐧 𝐂𝐨𝐫𝐞 in navigating the transition smoothly.​ 𝘠𝘰𝘶𝘳 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 𝘢𝘳𝘦 𝘪𝘯𝘷𝘢𝘭𝘶𝘢𝘣𝘭𝘦. 𝘐𝘧 𝘵𝘩𝘦𝘳𝘦 𝘢𝘳𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘵𝘰𝘱𝘪𝘤𝘴 𝘰𝘳 𝘤𝘩𝘢𝘭𝘭𝘦𝘯𝘨𝘦𝘴 𝘺𝘰𝘶'𝘥 𝘭𝘪𝘬𝘦 𝘵𝘰 𝘴𝘦𝘦 𝘢𝘥𝘥𝘳𝘦𝘴𝘴𝘦𝘥 𝘪𝘯 𝘧𝘶𝘵𝘶𝘳𝘦 𝘢𝘳𝘵𝘪𝘤𝘭𝘦𝘴, 𝘱𝘭𝘦𝘢𝘴𝘦 𝘴𝘩𝘢𝘳𝘦 𝘺𝘰𝘶𝘳 𝘵𝘩𝘰𝘶𝘨𝘩𝘵𝘴 𝘪𝘯 𝘵𝘩𝘦 𝘤𝘰𝘮𝘮𝘦𝘯𝘵𝘴 𝘣𝘦𝘭𝘰𝘸👇 #MarketingCloudOnCore #Pardot #MomentMarketer #MarketingChampions #MarketingChampion #SharingIsLearning

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I highly doubt CRO will work for your brand. Why? Because your site is already “optimized.” • Product photos? Check. • Features and benefits? Check. • Outcomes your customers want? Clear as day. • Add to Cart button? Standard Shopify checkout? Both there. What else could you possibly need? Just keep pouring more into SEO, paid, newsletters, affiliates, backlinks. That’s the game, right? Unless… you actually want more of that traffic you’re paying for to become buyers. Then CRO suddenly looks less like “nice-to-have” and more like the highest-leverage move you can make.

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There’s a common belief in CRO that revenue is the ultimate success metric. And at face value, it’s hard to argue with that. Revenue matters, and our CRO teams absolutely prioritize experiments that increase sales. But, if all you chase are revenue lifts, you end up running a fragile experimentation program. Because not every test is going to deliver an instant bump in revenue. Some will improve speed. Some will reduce friction. Some will deepen understanding of user behavior. Some will expose that your highest-performing page is actually repelling high-value users. These don’t always show up in the dashboard the way execs want them to. But they’re the tests that compound. The more you optimize for long-term clarity, the more sustainable your revenue growth becomes. #experimentation #conversionrate #CRO

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