How AI can boost your marketing campaigns and speed

From Inbox to Impact: Smart Email Workflows Driving Startup Growth in 2025 Just discovered some eye-opening case studies showing how strategic Go-To-Market email workflows are transforming startup growth. Startups leveraging automated, data-driven email sequences are seeing huge jumps in: 🚀 Conversions 💡 Customer acquisition 💰 Revenue growth It’s not about sending more emails — it’s about sending smarter ones. For founders and marketers, these insights are pure gold for scaling efficiently. 💭 How has email automation impacted your growth journey? 👉 Read the full case studies here: https://lnkd.in/gg4-YPuu #StartupGrowth #EmailMarketing #GTM #MarketingAutomation #GrowthHacking #StartupStrategy #EmailWorkflows

Struggling to turn tech expertise into leads? You’re not alone—most UK startups we meet have the know-how but lack the time or bandwidth for consistent, high-impact marketing. The good news? You don’t need a big team to punch above your weight. One actionable tip: Focus your LinkedIn presence on sharing real client results and practical insights, not just product features. This builds trust and attracts decision-makers who value ROI. Ready to see how tailored marketing can drive growth—without the overhead? Let’s talk. 🚀

Some people think building an outbound campaign strategy is easy. Hell no, it isn’t. Here’s what actually happened. I was working with a startup that had… nothing. No website. No ICP. No data. Just a competitor’s link and a big idea. Sure, I could have automated the whole research with Clay. But when you’re working with early-stage startups, that’s a cost you can’t justify, not when they barely have structure to support it. So I did it the hard way. 1️⃣ Went to Reddit to find real conversations, who needs this solution the most. 2️⃣ Picked the industry with the highest ROI and biggest pain. 3️⃣ Pulled 50 companies in Clay, then manually checked each profile, job titles, team size, patterns across LinkedIn and websites. 4️⃣ Identified the core criteria that would make each campaign hyper-relevant. 5️⃣ Created a custom offer per client that could be replicated in 15–30 minutes. 6️⃣ Built niche-level data, first at company level, then persona level. 7️⃣ Launched. Booked 5 meetings in the first 10 hours. Doing it manually wasn’t about proving I could. It was about learning how things actually connect. Automation saves time. But manual strategy builds understanding, and that’s what lets you win bigger later. The lesson: You can automate tasks, but not thinking. P.S. Every “shortcut” I’ve skipped has made me sharper. What’s one thing you refuse to automate yet?

If you’re doing it more than twice.... automate it. Startup founders waste hours every week on: Manual data entry Repetitive emails Copy-pasting from one tool to another Following up (again... and again) That’s not hustle that’s friction. Automation isn’t just for big companies.With tools like Make, Zapier, and n8n, you can: Save time Reduce errors Scale operations Focus on what actually matters 'growth' Whether it’s onboarding, lead nurturing, report generation, or marketing. If it repeats, it can be automated. Curious how automation can save you hours every week? Comment or inbox I’ll show you what’s possible.

Marketing builds awareness. IT builds systems. But when you combine them — you build momentum. That’s the power of a Growth Strategist — where marketing meets technology, and startups scale smarter, faster, and stronger. As someone from a tech background, I’ve realized how much impact the right tech stack can have on marketing outcomes — from automation to analytics, it’s all about aligning code with creativity. PS: Just a random thought from the small marketeer inside this software engineer. #GrowthMindset #MarketingStrategy #TechDrivenMarketing #Innovation

Product-Founder Fit > Product-Market Fit Everyone talks about product-market fit. Fewer talk about product-founder fit. But it's killed more startups than bad markets. Here's the question I ask myself now: "Would I work on this for 5 years, even if it's unprofitable for the first 12 months?" If the answer isn't "hell yes," I move on. My 1st startup (Encharge) was exciting. Marketing automation. Big vision. Complex problem. I wasn't excited about the money. We started with a 10-point checklist on what we wanted to work on and went with Encharge. We were at $2k MRR in year 2. 99.999% of the people would give up long before that. We persisted because of product-founder fit, not because of product-market fit. The Pattern I See: Founders chase: → Big markets → High margins → Trending spaces → "Hot" opportunities But they don't ask: → Do I genuinely care about this problem? → Would I work on this if it wasn't profitable? → Do I find this space intellectually interesting? → Can I see myself becoming an expert here?

Most startups don’t fail because of bad marketing. They fail because they measure the wrong things. Everyone’s chasing growth — leads, installs, MRR. But barely anyone’s asking: are we measuring the right stuff? Here’s what that looks like 👇 ❌ You brag about impressions. ✅ But can’t tell how many users actually reach the aha moment. ❌ You test 10 ad creatives a week. ✅ But never test which message keeps users around after signup. ❌ You report “5% churn.” ✅ But never check which customer segment is actually leaving. The truth? You don’t need more dashboards. You need clarity — on what actually drives growth. When your measurement is right, every decision compounds. When it’s wrong, even your best campaigns lie to you. ⸻ 💬 What’s one metric you stopped obsessing over once you actually saw the full funnel?

Hello scaleup world 🙋♂️ Here's the second article in the CRM for Scaleups 101 series we're writing. This one dives into a question that often pops up: when (and why) is the right moment to upgrade your CRM (or get one in the first place)? Research shows that most startup teams implement a lightweight CRM around the 10 employee mark. But there’s a crucial second moment: the path to Series A. In the past few years the bar has risen, with investors now expecting stronger revenue, tighter forecasts, and visibility into how predictable your sales motion can be. Around this stage, a lot of teams face the critical choice of either upgrading or migrating to a more robust CRM. If you’re a founder trying to decide when to level up your system, this new article tries to break down the evolution from pre-seed to Series A. And if you've gone through these decision moments, I'd love to hear your thoughts and experience! Link to the article: https://lnkd.in/d3YTBm9v

PIVOT! Start-ups are insane. Pivots are not unusual, yet at times the pivot doesn't happen fast enough. TAM, SAM, SOM, ICP are not novel concepts. In fact we see an iteration of this in every pitch deck that comes through our inbox at In Revenue Capital. Definitions detour (been told I use too much jargon) TAM: Total addressable market SAM: Service addressable market SOM: Service obtainable market ICP: Ideal customer profile The early days should be about finding the closest thing to an ICP as possible. One of the most common things I see, especially in vertical SaaS which inherently has a smaller TAM, is founders simply say "the entire market is our ICP." False. The entire market could buy from you may be a true statement, maybe not, but what matters early is solving a unique problem so well that buying from you is a complete no brainer for a subset of the market... Your first ICP. Often that is enough to get you to $1M in ARR. Then you may have to Pivot. Maybe it's market change, maybe that cohort was really small (that's OK!), maybe the problem and product expands. The point of this is that those acronyms aren't just things consultants put in a deck... I mean they are things consultants put in a deck, but the reality is the should represent a set a clear set of data points you can use to drive GTM activities. It's another slow down to speed up type of thing. Your TAM represents a broad set of data points. When you start to whittle it down to SAM, SOM and ICP, you add more and more niche data points representing a perfect fit customer. The exercise of capturing those data points and defining their importance to your business provides you toe ability to pivot when needed.