How to boost activation with instant value

🚀 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗥𝗲𝗹𝗲𝗮𝘀𝗲: 𝗦𝘂𝗽𝗿𝗦𝗲𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝟮.𝟬 Notifications today go out across email, SMS, push, in-app… but analytics. Fragmented, incomplete, and error insights are hidden where you can’t find them. Product & Engineering teams struggle to answer even the basics: ❓ Why did this message fail? ❓ How are users actually reacting? ❓ Are we sending too many…or too few notifications? That changes today. 𝗪𝗲’𝗿𝗲 𝗹𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝟮.𝟬: 𝗰𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱, 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝗮𝗰𝘁𝗶𝗼𝗻. What’s new: ⚡ Real-time insights → Track performance across channels and spot dips in engagement instantly. 🔍 Workflow-level drilldowns → Compare workflows, templates & channels side by side. 🙅 Unsubscribe & fatigue trends → Know when your users opt-out, and identify fatigue triggers to keep comms helpful.  📊 Powerful filters → Slice by workflow, tenant, template, or channel in seconds. ⁉️ Centralized error tracking → All requests → processed → delivery issues in one place. Analytics 2.0 goes beyond “what happened”. It shows you why, and gives you the power to act in real time. 👉 Start your free trial or book a demo. We’d love to show you what’s new. #notificationinfra #notificationanalytics #newfeature

Back in my analytics days, getting a clear picture of notification performance felt like detective work 🕵️♂️. Pulling data from multiple platforms, stitching it into sheets, wrestling with APIs and webhooks to get this data into your database —just to answer a simple question: “How are our notifications performing?” It was messy, chaotic and querying that data was a nightmare. That pain stuck with us. So at SuprSend, we built notification analytics the way we wish we had it—one place, cleanly normalized, queryable, and actually useful. Not just for our users, but for us too.

Activation is more than a milestone - it's a narrative your product writes with every new user. Most teams think of activation as a single event: sign-up, feature use, or payment. But true activation is about users experiencing recurring value so clearly that it becomes part of their workflow. If you’re measuring “activated” users by actions alone, you might be missing the signals that actually drive long-term retention and upgrades. My advice? Go beyond vanity metrics. Dive into cohort analysis to map lasting behaviors, not just one-off events. Find out which actions correlate most with staying power, and build your guardrails for experiments around those real indicators. How do you define and measure activation at your company? Are your dashboards highlighting the right moments, or just the easy ones to track? I’d love to hear how others have redefined this critical metric for real growth.

Most growth teams run “busy experiments.” They test subject lines, tweak hero images, and chase metrics like CTR or opens. Dashboards look great. Revenue doesn’t move. The best operators focus on ROI growth experiments. - Directly connected to revenue impact - Measured with CAC, LTV, or deal velocity - Scalable if successful That’s the difference between vanity testing and building what I call a revenue science discipline. In my latest article, I share: - Why most experiments fail the ROI test - The three categories of ROI growth experiments that actually drive results - A simple ROI financial model you can use today - How to operationalize experimentation across teams 👉 Read the full article: https://lnkd.in/g87uQtdU Comment Free and I will send you my Free Notion Growth Experiment ROI Calculator. #growthstrategy #b2bgrowth #roi #experimentation #revenuegrowth #digitalmarketing #salesandmarketing #businessoperations #customeracquisition #strategicleadership

Is your activation metric actually guiding growth—or just providing false comfort? Way too many SaaS teams still track activation as a vague, feel-good number. But a surface-level metric like “signed up” or “clicked tutorial” rarely maps to actual product value or future upgrades. I see this all the time when running Growth Diagnostics Audits: misaligned activation definitions lead teams to chase vanity milestones instead of outcomes. Here’s my rule of thumb: an activation event should strongly predict both retention and meaningful usage in the next 7-30 days. If yours doesn’t, it’s time for a hard reset. Start with deep cohort analysis, map behaviors that correlate with revenue, and validate those with experimentation—not gut feel or legacy dashboards. Activation isn’t about box-checking; it’s about building a foundation for everything downstream. How confident are you in your activation metric? Would you bet budget decisions on it, or is it overdue for a rethink?

Roadmap-to-job attribution needs more than product analytics. Clicks, page views, and sessions do not equal job outcomes. They only tell you what customers did inside your product—not whether they achieved what they set out to do. To measure true impact, you need data on goal achievement, success rates, and completion workflows. That’s how you move beyond activity metrics and start proving whether roadmap initiatives are actually improving customer outcomes.

The best growth hacks aren't glamorous, they're subtle... One thing I’ve seen time and again in campaign performance reporting: the most minor adjustments often create the biggest lift. A single headline change can improve click-throughs by double digits. Simplifying a form field can cut acquisition costs by 20%. It’s tempting to chase “the next big thing,” but optimization often comes down to listening closely to data and being willing to test small tweaks consistently. What’s the smallest change you’ve made that delivered outsized results? #MarketingInsights #CampaignOptimization #GrowthMarketing

💡 If it can’t be measured, it can’t be scaled. RevOps turns gut-feel into predictable growth. Too often, companies rely on instinct when it comes to revenue. What’s working, what’s not, where to invest. But instinct without data is just guesswork. That’s where Revenue Operations comes in. RevOps isn’t just dashboards and reports. It’s clarity across Sales, Marketing, and Customer Success. It’s the alignment that turns reactive decisions into strategic ones. ✅ Measure what matters ✅ Build repeatable systems ✅ Scale with confidence Growth shouldn’t feel like a gamble. With RevOps, it doesn’t have to. 👉When did you stop relying on gut-feel and start betting on RevOps? #RevOps #RevenueOperations #BusinessGrowth #DataDriven

Growth wants speed. RevOps wants structure. That tension shows up fast: 🚫 Growth feels slowed down by process. 🚫 RevOps feels invisible when data is skipped. 🚫 Ownership gets fuzzy. I’ve seen it: campaigns nobody tracks, dashboards nobody read… frustration on both sides. But when they sync, the numbers change: ✅️ Faster pipeline velocity ✅️ Higher conversion rates ✅️ Shorter sales cycles ✅️ Lower CAC, stronger NRR ✅️ Forecasts you can trust Frontify proved it: aligning RevOps with Growth lifted conversions by 30% and boosted forecast accuracy by 20%. The winners don’t pick sides. They align speed with visibility and build one operating system for revenue: predictable growth. 👉 #RevOps #Growth #RevenueOperations #PredictableGrowth #BuildInPublic

#ProductOwner #InterviewQuestion #SuccessMetrics #FeatureMetrics How do you define success of your feature ? Here’s a simple framework I use: 1. Define success metrics upfront in feature itself – adoption, conversion, retention, engagement. 2. Be ready with – analytics events, funnels, dashboards. 3. Measure from day one – track early signals, not just lagging results. 4. Iterate quickly – let the data guide your optimizations. When you tie success to well-defined metrics, you can understand the real impact of a feature — and move faster with confidence.