Visual Content Creation Tools

I think we’re measuring the wrong stuff… and it’s quietly killing momentum. 2026 has to be the year we fix it. Impressions. Clicks. MQLs. “Engagement.” The real game is happening in DMs, Slack threads, forwarded newsletters, and meetings. Here are 6 metrics I’d focus on in 2026 GTM (and why they matter). 1) Conversations → conversions What it is: Of the conversations your content starts, how many turn into a real next step (intro, meeting, opp). Why it matters: Content doesn’t “generate leads.” It generates conversations. Pipeline comes from what you do next. How to track: Tag every inbound convo (DM/email/reply) and mark the outcome: no fit / nurture / meeting / opp. 2) REAL ICPs engaging with content What it is: Not “engagement.” Engagement from the right people (titles, seniority, company tier, intent). Why it matters: 1 CFO at a target account > 1,000 random likes. How to track: Maintain an ICP list (titles + account tiers) and measure: % of engagers who match ICP of target accounts engaged per week repeat ICP engagers (X touches in 30 days) 3) Brand mentions inside ICP-relevant conversations What it is: How often your brand comes up when your ICP is discussing the problem you solve (not when you post). Why it matters: This is the difference between “content that performs” and a brand that gets recommended. How to track: Collect signals: customer calls (“we heard about you from…”), community moderators, partner chatter, dark social screenshots, and sales intel. Even a simple monthly “mention log” works. 4) Conversation velocity What it is: The speed from publish → first qualified conversation, and from convo → meeting. Why it matters: Velocity is the earliest indicator your messaging is landing. If it’s slow, you’re not sharp enough yet. How to track: time-to-first-ICP-convo after a post/report time-to-meeting after first touch “conversation depth” score (comment → DM → problem share → meeting ask) 5) Brand + category position What it is: Are you being associated with a clear “lane” (category/point of view) or just “a vendor who posts”? Why it matters: In 2026, positioning is distribution. If people can’t summarize your POV in one sentence, you’re invisible. How to track: Quarterly “message recall” check: ask prospects/customers: “What do we do?” “What do we believe?” “What are we known for?” 6) Dark social + word-of-mouth What it is: The off-platform sharing that actually drives deals: forwards, screenshots, Slack drops, “my friend sent me this.” Why it matters: A huge percentage of B2B buying happens in private. If your GTM can’t see dark social, you’re flying blind. How to track: “How did you find us?” (mandatory field) inbound screenshots / Slack mentions private replies after posts If your 2026 GTM dashboard doesn’t include conversations, ICP quality, dark social, and category position, it’s going to keep optimizing for attention… while someone else captures intent.

If someone asked you to prove that your blog content was actually resonating with readers, what would you show them? Page views? That just means the page loaded. Engagement rate? That's a session-level metric, not a page-level one. We pour time into creating content, but the default metrics in most marketing analytics platforms can't answer the most basic question: did anyone actually read it? That's why I built content consumption tracking. It combines two signals: dwell time (were they there long enough to read it?) and scroll depth (did they make it to the end?). If both conditions are met, the content was consumed. What I love most is how it breaks down into four behavior types: Consumers (they read it), Skimmers (scrolled fast but didn't read), Tab Collectors (stayed but never finished, you know who you are), and Bouncers (neither stayed nor scrolled). My guide includes full steps to implement this on your website, including a WordPress plugin and a GTM approach for any other platform. If you've ever wondered whether your content is actually working, this one's for you! #ContentMarketing #GA4 #Analytics

The One Metric I Trust Most on LinkedIn Over three years on LinkedIn, I’ve tracked every community metric I could: week to week, month to month, year over year. I’ve analyzed trends, looked for forward vs. lagging indicators, and tried to understand what truly drives growth. At first, I focused on top-line metrics - like impressions. Then engagements. But the best predictor of long-term success - the one metric I now trust most - is something few people even check: Members Reached (formerly Unique Impressions). If you go into your post analytics, LinkedIn shows you not just impressions but how many unique people saw your content. And I’ve found that growth in this number is the strongest signal that I’m on the right path. Why? Engagements fluctuate. A viral post, a trending topic, or a high-emotion moment can skew the numbers. Many people who value my content don’t engage. Senior professionals, in particular, often prefer to observe rather than publicly interact. Some folks just, increasingly, value anonymity and will discuss seeing my posts but never engage. Members Reached can’t be hidden. Unlike engagements, which depend on visible likes or comments, this metric quietly tracks how many real people are seeing what you share. Metrics should never drive your content - you should create what matters to you. But if you’re looking for a true measure of reach and impact, start paying attention to Members Reached. For me, it’s been the clearest predictor of whether the community will grow - or not - down the road.

Members have been asking us for deeper insights into how their content resonates. Today, we’re excited to share two new metrics in LinkedIn Analytics designed to do just that. Saves: See how often your post is saved. A strong signal that your content is valuable and worth revisiting. Sends on LinkedIn: See how often your post is shared via direct message on LinkedIn. A clear sign that your content is sparking personal conversations and being endorsed privately. Here’s what it means for you: - If Saves are high: people want to revisit your content. - If Sends are high: your ideas are traveling in private networks. - If both are high: you’re on your path to building real influence. You’ll find these under the Social Engagement section when you click “View analytics” on your posts. This is another step towards giving members actionable insights that go beyond vanity metrics, so you can sharpen your approach and measure meaningful outcomes. We can’t wait to see how you’ll use Saves and Sends to understand your audience better and reach them more effectively!

❌ Forget Reach. ✔️ Think Engagement.   I no longer take much notice of impression counts on my LinkedIn™ posts. Instead, I focus on engagement – the number of people who have reacted to, commented on or reposted my posts.   Why?   Because the number of feeds my posts are dropped into gives me little useful information.   But the engagement rate does. It tells me what percentage of those who saw my posts responded in some way, took some kind of action.   And that’s where the gold is!   🔷 Those numbers – and the people behind them – tell me who is interested in the information I’m sharing. 🔷 Those people might make good additions to my network if they’re not already part of it. 🔷 They might make ideal ‘associates’ as I heard Mark Williams describe it in an interview with Tony Restell last week. (An example of an associate is my relationship with Gina Balarin (CPM FAMI FCIM), the CEO’s Voice. We share the similar target customers but provide different services. Supporting each other widens both our circles of influence.) 🔷 They might be potential clients. 🔷 They could even become colleagues and close friends.   In the past 3 months engagement on my content has risen significantly. (The formula for this is the total number of reactions, reposts and comments on a post divided by the number of impressions.)   The increase over the previous 90 days is 32.2%. Meanwhile impressions are up a miserly 1.6% (no surprise there).   The content formats achieving the highest engagement are LinkedIn events and video posts.     But what unequivocally does best are posts involving others. Posts ABOUT others always do well. Posts TAGGING others in the text do well if those others respond.   Here’s an example of the impact that external interaction on content can have: our recent LinkedIn live with the Queen of Livestreaming, Gillian Whitney generated a 49.1% engagement rate. Why? Because after the event Gillian responded personally to every single comment. There are now well over 200 comments.  (Don’t forget events stay in our Activity section so remain visible long after other posts might have disappeared.)   Engagement rate is now our most important metric and one we’ll be keeping a close eye on for its potential to provide an ongoing source of interested and responsive additions to our network. Because this is where the gold is!   🔷🔷🔷🔷🔷   Looking to upgrade your LinkedIn knowledge? Check out linkability[.]biz for dozens of hours of content on how to leverage LinkedIn to achieve your professional goals.   Got something to add? 🔷 COMMENT 🔷 Would others find it useful? 🔷 REPOST 🔷 Want to see more like this? 🔷 🔔 🔷 Plan to refer back to this? 🔷 SAVE 🔷 Think I know my stuff? 🔷 ENDORSE 🔷   📌📌📌 Tip of the day – keeping your own set of post metrics (a simple spreadsheet is all you need) allows you to compare individual posts more closely than you can from your profile analytics.  

Analytics aren’t just numbers; they’re your roadmap to publishing growth. Data isn’t power, it’s potential. For publishers, the real value lies in transforming raw metrics into repeatable growth strategies that drive audience retention, revenue, and #SEO performance. Too often, publishers collect vast amounts of data but fail to extract meaningful takeaways. The key is understanding what content resonates, how audiences engage, and where opportunities for growth exist. Collecting data is easy; extracting insights is not. Without clarity, metrics like pageviews and bounce rates become distractions. For example, a 40% drop in returning visitors isn’t just a traffic issue—it’s a retention red flag. By using the right tools and refining strategies based on real data, you can turn numbers into growth. Here are actionable strategies to turn data into action: 1. Know Your Audience Beyond Pageviews Pageviews alone don’t tell the full story. Instead, track return visitors, time on page, and scroll depth to measure true engagement. Tools like Google Analytics 4 (GA4) and Parse.ly provide deeper insights. Cohort analysis can reveal trends, millennials may prefer video, while Gen X engages more with newsletters. For example, if mobile traffic spikes by 20% after 8 PM, push breaking news via mobile notifications to capture that audience in real-time. 2. Optimise Content Performance with Behavioural Data Understanding why some content performs well helps you replicate success. Use @Google Search Console and Semrush to analyse search visibility and Hotjar Digital Marketing Company to track user interactions. For example, if "AI in media" gets 3x more shares than "content trends," double down on AI-related content. Additionally, A/B test headlines (e.g., “5 Growth Hacks” vs. “Proven Tactics”) to see what improves click-through rates. 3. Track Conversions, Not Just Traffic Traffic alone doesn’t guarantee success—conversions do. Set up goals in GA4 to measure newsletter sign-ups, paid subscriptions, or product purchases. Identify which referral sources drive the highest conversion rates, and adjust your strategy accordingly. For example, premium subscribers from "how-to guides" tend to have a 15% higher lifetime value than general news readers, meaning content type matters when driving long-term revenue. To scale what works, automate reporting with Power BI Visualization or Looker Studio to save 10+ hours per month. Analytics only matter when they drive actions. The biggest mistake any publishers can make is to treat data as a report card instead of a playbook. Start by auditing one content category this week, setting up a conversion goal in GA4, and A/B testing a headline. Data doesn’t lie, but it won’t work unless you do something. What analytics tools are you using to grow your publishing efforts? Share your go-to platforms in the comment below. #DigitalPublishing #SEO #ContentStrategy #AudienceGrowth #DataAnalytics

Most AI slide tools are frauds. They sell you “presentation AI.” What they actually give you is polished-looking nonsense. Pretty layouts. Generic bullets. Bar charts. Pie charts. And just enough fake professionalism to embarrass you in front of people who actually know what good slides look like. That’s why Perceptis Sidekick stands out. It’s not trying to be another toy for making slides look cute. It’s built for the part that actually matters: thinking. Because the real pain in QBRs, RFPs, proposals, CIMs, strategy decks, and financial reviews was never dragging boxes around PowerPoint. It was taking messy ideas, scattered data, and half-baked requests and turning them into a story that holds up under scrutiny. That’s where most AI slide tools collapse. Sidekick attacks that problem directly. You describe the deck in plain language. It enhances the prompt for you. Then it generates a consulting-grade presentation with actual structure, not just decoration. And not fake “business slides,” either. Real output: Waterfall charts Funnels Pyramids Org charts Issue trees Gantt charts The kinds of slides most AI tools still completely choke on. That’s the difference. Most slide AI is optimized to impress people from 10 feet away. Perceptis feels built for slides that have to survive partner review, exec review, client review, and the brutal moment when someone starts questioning the logic on slide 7. It also fact checks outputs with your materials, backs claims with sources, exports to fully editable PPTX, and works across 99+ languages. So no, this is not “just another design tool.” It’s a weapon for people whose jobs depend on turning complexity into clarity without looking sloppy, generic, or unserious. Consultants. Bankers. Strategy teams. PMMs. Sales and pre-sales. Proposal managers. Basically anyone who can’t afford to show up with fluff dressed as insight. The real promise here isn’t “AI makes slides faster.” It’s this: AI might finally be making business decks that don’t insult your intelligence. That’s a much bigger deal. Oh, and I can hook you up with 25% off with code SLIDELINK25 https://perceptis.ai/

Likes and comments on LinkedIn matter—but they don’t tell the whole story. Here are the “less obvious” success metrics you should be tracking too: 🔹 1. Profile Views Per Post → A spike in profile views = people checking out who you are. → Are they in your target audience? If they're from random industries, your content might be too broad or irrelevant to your niche. 🔹 2. DMs & Connection Requests → Are people reaching out after your posts? That’s a sign your content is working. → But again, are they potential clients, partners, or industry peers? If most inbound messages are unrelated to your goals, you may need to refine your positioning. 🔹 3. Outbound Connection Acceptance Rate → If less than 40% of your connection requests are accepted (granted you're reaching out to your ICP), your profile might need work. → A high acceptance rate means your profile and content are aligned with your ideal audience. 🔹 4. Website Clicks & Email Sign-Ups → Are your posts leading people to your site or newsletter? → If not, you may need to rethink your content strategy. Some content grabs attention, some builds trust, and some drives action. If you're only creating engagement-focused posts, you're staying visible, but not turning that visibility into results. 🔹 5. Post Longevity → How long is your post staying in people’s feeds? → Posts that get engagement 48+ hours later signal strong content resonance. Pay attention and dissect what made them successful. 📌 Takeaway: Engagement matters, but it’s not just about likes and comments. The best posts spark interest, profile visits, DMs, and conversions. Are you tracking any of these?

I stopped using Google Slides and PowerPoint. Here's what I use instead. At Tenex, we've been building slide decks in Lovable, the AI app builder, and the results have genuinely surprised our clients. The mental shift: A Lovable deck isn't a presentation. It's a React app where each "slide" is a full-screen view with real animations and modern design. Here's exactly how to do it: Step 1: Start with this foundation prompt Copy this and modify the specifics: ``` Create a presentation slide deck app: - Full-screen slides (100vh x 100vw) - Keyboard navigation: Arrow keys to advance - Progress dots at bottom - Theme: Dark with #0f172a background - Accent color: [YOUR BRAND COLOR] - Typography: 48-72px headings, 20-24px body - Use Framer Motion for fade + slide transitions - Total slides: [NUMBER] Build navigation first. Confirm it works before adding content. ``` Step 2: Add slides one at a time Don't try to build everything at once. After navigation works: ``` Navigation works. Now design slide 1 as a title slide: - Company logo placeholder at top (200px, centered) - Main title: "[YOUR TITLE]" in 72px bold white - Subtitle in 24px at 60% opacity - Animated entrance: Logo fades first, then title slides up ``` Step 3: Steal these templates For a metrics slide: ``` Create a metrics slide with 4 stats in a 2x2 grid: - Large numbers with count-up animation - Small label below each - Stats: "150+" / Clients, "99.9%" / Uptime, "$2.4M" / Revenue, "4.8/5" / Rating - Stagger the card entrances ``` For a testimonial: ``` Create a testimonial slide: - Large decorative quotation mark (low opacity, top-left) - Quote text in 28px italic - Customer name in bold, title and company below - Elegant fade-in animation ``` For a closing CTA: ``` Create closing CTA slide: - Bold headline: "Ready to Get Started?" - Two buttons: "Schedule Demo" (filled) and "Learn More" (outlined) - Contact email below - Subtle animated gradient background ``` Step 4: Reference styles it knows Instead of describing aesthetics from scratch: "Design this like an Apple keynote—single bold statement, dramatic fade-in, lots of negative space" "Make this look like a Stripe landing page—clean gradient, floating cards with shadows" Step 5: Protect what's working Every prompt should include guardrails: ``` On slide 4 only, add a three-column comparison. Do NOT modify: - The navigation system - Any other slides - The color scheme ``` What we've built with this: → Sales decks with interactive product demos embedded → Conference talks with syntax-highlighted code slides → Quarterly reviews with live dashboard components → Training decks with clickable timelines The honest limitations: No PowerPoint export. No offline mode. 20+ slides gets unreliable. Complex animations can fight you. But for most presentations? Faster to build. Looks dramatically better. Share a URL instead of emailing attachments. The tool is maturing fast. Worth learning now.

We tracked 5,000+ qualified leads generated through founder content last quarter. The highest performing post hit 240K impressions and drove 37% conversion. Most founders completely misunderstand content attribution. Self-reported data tells the true story. When we analyze the customer journey for founder-led content, we see three distinct patterns: 1. Repeated exposure drives consideration → Our analysis of 120+ executives shows prospects consume 6-8 pieces of content before initiating contact. Content builds familiarity, creating a 47% average monthly audience growth that directly feeds pipeline. 2. Content engagement correlates with deal velocity → Prospects who engage with founder content move through sales cycles 32% faster than cold outbound. They arrive pre-educated and aligned with company values, eliminating entire qualification stages. 3. LinkedIn conversions require social-native thinking → Posts that achieve 6-8% engagement (3x industry average) present information differently. No blog links. No webinar pitches. Pure value delivered directly in-feed with strategic personal content that builds authentic connection. The best attribution method is simply asking new leads how they found you. In our experience curating content for 120+ executives, 73% report discovering the company through the founder's personal content. One FinTech client generated $150K+ in attributed deals within 6 months after launching their founder content strategy. Their sales team now proactively shares founder content before calls, using it as pre-meeting preparation for prospects. For B2B companies, founder-led content functions as both demand generation and sales enablement simultaneously. The data proves it. Measure your content's true impact by combining platform metrics with pipeline tracking. Anything less gives you an incomplete picture of ROI.