UX Writing For App Notifications

Messaging clarity is a hard thing to master as a Product Marketer. But there's another thing that's even harder. Messaging prioritisation. When a product has a massive footprint, it's tempting to flood prospects with a barrage of value propositions. But "more" isn't always "clear". More messages increases the cognitive load on the buyer's end. They struggle to frame a memorable pitch in their heads. Apple understands this well. When I opened a mac on display at an electronics store a week ago, it prompted me with a little advert on why I would love the machine. The messaging didnt involve convoluted specs. Nor did it convey any fancy over-the-top marketing shpeal with big words like "Revolutionize". It had 6 top buying factors, written in plain English with an option to learn more. That made the pitch succinct and memorable. ❌ "5.5K mAh or 58 Whr". ✅ "Go upto 22 hours unplugged." ❌ "Unparalleled top-notch security". ✅ "TouchID keeps you protected." ❌ "The all-in-one machine" ✅ 6 easy-to-read reasons to buy. Message prioritisation starts by understanding the hierarchy of user needs. A few ways to uncover the messages that will likely resonate the most: 1. Ask customers about their buying factors. - What sold you on our product? - What was your old solution missing? - What capabilities are essential to you? 2. Inspect churn reasons. - Why do good-fit customers leave? - Have we fixed those problems now? - What was a frequent deal breaker? 3. Track usage data & reviews. - What capability is used by most users? - What capability is used most frequently? - What aspects do our customers praise? Triangulating the most valuable (and ideally, differentiated) capabilities and product aspects helps prioritise the messages you want to front load at the moment of purchase. -- How do you prioritise your messaging?

I was once obsessed with personalization. Crafting emails with every possible data point. I thought it was the secret sauce to winning over prospects. But I was wrong. In the race for hyper-personalization, many overlook a simple truth: 𝙋𝙚𝙤𝙥𝙡𝙚 𝙘𝙖𝙧𝙚 𝙢𝙤𝙧𝙚 𝙖𝙗𝙤𝙪𝙩 𝙧𝙚𝙡𝙚𝙫𝙖𝙣𝙘𝙚 𝙩𝙝𝙖𝙣 𝙥𝙚𝙧𝙨𝙤𝙣𝙖𝙡𝙞𝙯𝙖𝙩𝙞𝙤𝙣. In my own experience, I've gotten outreached about things that were completely irrelevant. At least they knew where I went to university for a few semesters, right? [insert cheesy line about sports mascot or ur fav local restaurant] Here's how you can shift your focus and see instant results: 𝗞𝗻𝗼𝘄 𝗬𝗼𝘂𝗿 𝗔𝘂𝗱𝗶𝗲𝗻𝗰𝗲 → Dive into their challenges and needs. → Speak their language, not just what you can easily find out about them. 𝗦𝗼𝗹𝘃𝗲 𝗥𝗲𝗮𝗹 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 → Tailor your messaging to address specific pain points. → Show how your solution fits seamlessly into their world. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗶𝘀 𝗞𝗶𝗻𝗴 → Understand the industry landscape. → Align your offering with current trends and issues. 𝗨𝘀𝗲 𝗗𝗮𝘁𝗮 𝗪𝗶𝘀𝗲𝗹𝘆 → Focus on actionable insights rather than personal details. → Leverage analytics to identify what truly matters. 𝗕𝗲 𝗧𝗶𝗺𝗲𝗹𝘆 → Timing matters more than ever. → Reach out when they are most likely to need your solution. Now, why does this work? Because when you speak directly to the pressing issues your prospects face, you earn their attention. You become not yet another email in their inbox, but a valuable and trustworthy partner. So, next time you prepare your outreach, ask yourself: Is my message truly relevant? Or am I just ticking personalization boxes? Shift your focus and watch the magic unfold. Have you ever experienced the power of prioritizing relevance over personalization? Let's discuss in the comments below.

If you're running demand gen, DO NOT anchor messaging in pain points (they’re lagging signals, not triggers). Instead, I anchor to pre-intent symptoms....the real-time friction they feel before they name the problem. Because here’s what most demand gen messaging gets wrong: It speaks to people who are already in the funnel, already comparing tools, already reshaping their worldview to match whatever category they’ve decided they need. But by that point, you're not guiding a decision...you’re chasing it. You're reacting to a mental model someone else already built. They've picked their shortlist, half-decided what matters, and your message becomes just another card in the deck. That’s why messaging-fit in my approach doesn’t begin with copy on the homepage. It begins with the moment the job breaks (often quietly, inconveniently, and before anyone’s ready to admit there’s even a problem.) That moment doesn’t sound like "we need better attribution" it sounds like: 1. Why do my LinkedIn posts get 200 likes and still no demos? 2. How do I report post results to clients if I don’t even know what’s working? 3. What the heck do I post this week that might actually influence pipeline? That’s how I built the early messaging for Socialeads.io. I didn’t start with what the product does, I started by listening to the symptoms demand gen leads were already feeling. Everyone we reached out to said some version of: → I’m posting consistently, but I still don’t know what’s working. That became the PULL. Then we added the PUSH: → Connect your LinkedIn + CRM, and see lead-generating posts in under 5 minutes. It wasn’t built around a promise...it was built around a moment they were ALREADY stuck in. ✅ And once we did that, the content, homepage, outbound, even cold DMs...all became focused on a single, high-friction entry point that every best-fit user recognized BEFORE they even thought of solving it. That’s how you build a messaging anchor that earns attention before intent exists. 👉 If you’re working on demand gen but still anchoring your messaging to stated problems instead of felt symptoms, DM me. I’ll help you build messaging that actually pulls in people who aren’t even aware they have a problem yet.

I've watched 7 outbound teams go from <2% to +5% reply rates in under 60 days. All of them made the same shift: Static lists to signal-triggered outreach, heavy on tiering. The old way: → Generic "I noticed you're hiring" openers → Zero context on timing or need → 1-2% reply rates if you're lucky → Spray and pray to static lists The new way: → Signal-triggered outreach → 5-8% reply rates consistently → Hyper-relevant context in every message → Perfect timing based on actual buyer behavior So what signals actually move the needle? The ones we've seen work consistently: → Leadership changes (new VP Sales = new priorities) → Social engagement (commented on relevant content) → Funding announcements (budget just opened up) → Job postings (they're hiring for a role you solve for) → Tech stack changes (competitor install/uninstall) Although, the best signals are *always* gonna be hyper-relevant and custom to YOUR offer, eg. for Midnight Labs we've been monitoring dark web activity, amongst many other niche platforms for 'enterprise evidence'. But signals aren't just about personalization - they're about prioritization. Not every account showing intent deserves the same motion. 𝐓𝐢𝐞𝐫 1 - 𝐇𝐢𝐠𝐡 𝐢𝐧𝐭𝐞𝐧𝐭 + 𝐡𝐢𝐠𝐡 𝐟𝐢𝐭: Multiple signals firing. These get the full omni-channel treatment: cold call, personalized email, LinkedIn touchpoints, maybe even direct mail. You're investing real time here. 𝐓𝐢𝐞𝐫 2 - 𝐌𝐞𝐝𝐢𝐮𝐦 𝐢𝐧𝐭𝐞𝐧𝐭 𝐨𝐫 𝐟𝐢𝐭: One or two signals. Personalized sequences, but more automated. Still relevant context, just not the white-glove approach. 𝐓𝐢𝐞𝐫 3 - 𝐋𝐨𝐰 𝐢𝐧𝐭𝐞𝐧𝐭, 𝐛𝐫𝐨𝐚𝐝 𝐟𝐢𝐭: Part of your TAM, but no active signals yet. Nurture at scale. Keep them warm until they light up, or run a more generic sequence. The magic happens when you combine tools like Clay with this tiered framework. Example workflow: • Trigify.io catches a prospect engaging with competitor content • Clay enriches their company data and scores them by fit + signal strength • High-tier accounts get routed to your AEs for multi-channel outreach • Lower tiers flow into automated sequences with relevant personalization • Everything goes out within 24 hours of the signal • Same ICP. Different treatment based on actual buyer behavior. We built this exact system for a tech (SaaS, specifically) client last quarter. Before: 1.8% reply rate, generic messaging, one-size-fits-all After: 6.2% reply rate, signal-based tiering, right effort on right accounts We've compiled 150+ sales signals into a library - categorized by strength, funnel stage, and trigger type. Each one includes when to use it, how to action it, and which data sources to pull from. Comment "Signals" and I'll send it over when it's live.

Most teams treat signals as one big bucket. But in outbound, every signal has a different job: fit, relevance, readiness, or real intent. If you don’t separate them, you over-enrich, mistime outreach, and burn volume on noise. Here’s the simple structure we use to read signals cleanly in 2025 👇   1. Fit Signals These show who you are speaking to. They shape routing, persona logic, and segmentation. Not intent. 👉 Job title and seniority to decide the angle 👉 Company size, firmographics, and industry to set segment-based messaging 👉 Geo to handle region-based timing and windows 2. Relevance Signals These show why your product matters to the account. They help personalize the narrative. 👉 Tech stack to anchor integration or replacement value 👉 Account hierarchy for ABM routing 👉 Website traffic to read digital maturity 👉 Hiring velocity inside the relevant department 👉 New funding as a sign of expansion or priority shifts 3. Intent Signals These are the closest to real buying behavior. But they only matter when scored by recency, frequency, and depth. 👉 Third-party topic spikes from platforms like G2 or Bombora 👉 First-party pricing or product page activity from verified ICP users 🧩 When you read signals this way, you prioritize accurately without increasing send volume. You get cleaner routing, sharper angles, and far fewer false positives. 👉 Curious which signals your team uses most today. Drop your top 3 below ⬇️

There’s a dark UX pattern happening: → 10% off popups → Survey overlays → Exit intent modals → Sticky chat icons → Push notifications → SMS opt-ins All competing… on the same page. Now imagine being the buyer. You’re trying to understand what the product even is. And 4 things block your view. Here’s a simple rule: 1 overlay per page. Max. And prioritize by intent: • First visit? Offer something helpful, not a discount. • Item in the cart? Support the choice, don’t distract from it. • Leaving the page? Share something useful, not just a coupon. The best UX often feels invisible. If you wouldn’t click it yourself, why are you forcing it on your best leads?

Came across a Harvard Business Review study on customer messaging. Researchers tracked how the same products performed when marketed to different customer segments with tailored messaging versus generic "one-size-fits-all" approaches. What caught my attention in their methodology: They studied skincare brands selling identical serums but split their messaging by customer intent: Anti-aging buyers got content about youth and vitality. Dry skin sufferers got relief and comfort messaging. Daily routine buyers got convenience and everyday hydration angles. Same product, same price point, same shelf placement. This focus on intent resulted in 30% higher satisfaction scores and 15% better retention when messaging matched specific customer motivations. But here's the behavioral insight that got me: The study found people weren't really choosing the "best" product. They were choosing validation for a decision they'd already made emotionally. Customers don't want objective product comparisons. They want reasons to feel smart about what they were already leaning toward buying. It explains why generic marketing fails. When you say "great for everyone," you're not confirming anyone's specific belief system. The researchers documented something they called "purchase justification seeking" - customers actively filtering for information that supports their existing preferences while ignoring contradictory data. Smart brands exploit this by creating multiple permission structures around the same product. Not different products, different stories that validate different emotional triggers. The most successful messaging didn't highlight product superiority. It highlighted customer intelligence. The tactical takeaway was obvious: Segment your messaging by motivation, not just demographics. But the strategic insight runs even deeper: People buy confirmation that their choice makes sense more than they buy solutions. --- Want growth hacks like this that can catapult your business forward?    Sign up to my weekly growth hacks newsletter for easy to implement hacks every Sunday:  https://lnkd.in/eGMgpwUA

Marketers claim they want to scale personalization. Most still use the same old playbook. This approach misses key signals. The problem is clear. Most account prioritization models ignore crucial signals that indicate buying intent. These signals come from real-time engagement across digital channels, such as social media interactions, product usage data, and sales touchpoints, where prospects are actively making decisions. A CMO asking for vendor suggestions on a private Slack thread? That’s a high-intent signal. A RevOps leader debating solutions on LinkedIn? That’s critical buying behavior. Traditional CRMs miss these signals, but AI-powered tools like RoomieAI Capture are designed to catch and prioritize these conversations in real time. A champion explaining how they got buy-in for your product? That won’t trigger an MQL. This is why marketers miss high-intent signals. This is why they struggle to scale personalized outreach. A shift is happening. AI is making account research and personalization scalable. But it’s not what most people think. Forward-thinking teams are doing this: ✅  Mining signals from non-traditional sources like social media, job boards, and internal communications to identify in-market accounts before they visit your website. By using AI to uncover buying intent across the web and social platforms, they can reach high-intent prospects earlier in the sales cycle. ✅ Prioritizing accounts based on real engagement. They focus on prospects already in a buying motion, not just random website visitors. ✅ Using AI-generated insights for messaging. They create messages that resonate instead of sending generic sequences and hoping for a response. Here’s how to apply this today: 1️⃣ Audit where your best leads come from. Are they finding you through communities, referrals, or social conversations? If so, your data model is missing key signals. 2️⃣ Stop treating ‘MQLs’ as the only sign of readiness. Shift to engagement-based prioritization. Combine web intent with real conversations. 3️⃣ Experiment with AI-powered research to enrich your outreach. Use AI to gather insights, but keep your messaging human. Making this work at scale used to mean manual research and guesswork. Now, platforms like Common Room make it easier. They automatically surface high-intent signals across social media, web interactions, and internal data to help sales teams prioritize the right accounts and craft messaging that resonates at the right time. Personalization at scale isn’t about more manual research. It’s about building a smarter system. This system automates research while keeping outreach relevant. Think about AI’s role in your GTM strategy next year.

In business development, we often hear that messaging needs to be personalized. But what's frequently overlooked 👀 is the equally, if not more, important concept of relevance. Whether writing a cold email, building a landing page, crafting website copy, or producing thought leadership, understanding the difference between being relevant and being personalized is essential. 💭 𝗪𝗵𝗮𝘁'𝘀 𝘁𝗵𝗲 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲? 🥅 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲 means the message speaks to a real challenge or goal the prospect is experiencing. It answers: "𝗪𝗵𝘆 𝗻𝗼𝘄?" Examples include:  • A shift in strategic priorities  • A recent hire, funding round, or campaign  • Engagement with your content or brand 🙋♀️ 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 adds specificity to make the message feel unique for them. It answers: "𝗪𝗵𝘆 𝗺𝗲?" Examples include:  • Name, company, industry, or job title  • Insights from interviews, articles, or social posts  • Background details like interests or affiliations Here's the nuance: if personalization is surface-level or disconnected from their challenges, it's just noise. Referencing someone's alma mater or favorite sports team doesn't move the needle if you're not addressing a business problem they care about. 📊 𝗧𝗵𝗲 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲/𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝘁𝗿𝗶𝘅 𝗜𝗺𝗮𝗴𝗶𝗻𝗲 𝗮 𝘁𝘄𝗼-𝗯𝘆-𝘁𝘄𝗼 𝗺𝗮𝘁𝗿𝗶𝘅:  • 𝗫-𝗮𝘅𝗶𝘀: Low to High Personalization  • 𝗬-𝗮𝘅𝗶𝘀: Low to High Relevance ↙️ 𝗕𝗼𝘁𝘁𝗼𝗺-𝗹𝗲𝗳𝘁 (𝗹𝗼𝘄 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲, 𝗹𝗼𝘄 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻): The spray-and-pray approach. Generic and forgettable. ↘️ 𝗕𝗼𝘁𝘁𝗼𝗺-𝗿𝗶𝗴𝗵𝘁 (𝗹𝗼𝘄 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲, 𝗵𝗶𝗴𝗵 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻): You reference something personal, but the message lacks strategic value. Today's buyers spot this quickly. ↖️ 𝗧𝗼𝗽-𝗹𝗲𝗳𝘁 (𝗵𝗶𝗴𝗵 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲, 𝗹𝗼𝘄 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻): Still effective. A well-timed, well-targeted message can resonate even without deep customization. ↗️ 𝗧𝗼𝗽-𝗿𝗶𝗴𝗵𝘁 (𝗵𝗶𝗴𝗵 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲, 𝗵𝗶𝗴𝗵 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻): This is the goal. You've identified a pivotal problem and connected the dots with tailored messaging that proves you understand them. If resources are tight, prioritize relevance. But for maximum impact, combine it with smart, thoughtful personalization. That's how messaging earns attention—and drives real conversations. ___ 📥 𝗘𝗻𝗷𝗼𝘆 𝘁𝗵𝗲𝘀𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀? Join 40,000+ agency and consulting leaders getting smarter about business development—subscribe to my "𝘕𝘦𝘹𝘵 𝘉𝘪𝘨 𝘞𝘪𝘯" newsletter. https://lnkd.in/gv2CvHNU

Your customers' search intent—not keywords—should drive your content strategy and CTA messaging. Misalignment frustrates your customers and wastes marketing dollars. As Google evolves toward AI-driven search, understanding and targeting user intent is critical to maintaining visibility and relevance. 𝗪𝗵𝗮𝘁 𝘁𝗼 𝗱𝗼: Start with clear, actionable search intents (phrases beginning with verbs, e.g., "compare travel rewards cards"). • Keywords: Select keywords matching intent. • Content format: Choose formats (comparison guides, interactive tools) aligned with intent. • CTA messaging: Craft CTAs aligned with intent ("Compare Cards," not "Sign Up Now"). Aligning content and CTAs to intent reduces friction, improves engagement metrics, and increases conversions, helping you prove the ROI of your SEO. 𝗕𝗼𝘁𝘁𝗼𝗺 𝗹𝗶𝗻𝗲: Intent-driven content and CTAs help you confidently prove content marketing effectiveness, overcoming skepticism and securing buy-in from the C-suite.