Andy Chang

SendX, an ESP, ditched legacy email sending tools and now has a 95-98% delivery rate with 300M+ emails per month. What’s powering this ESP now?   → It's SendPost. SendPost gives ESPs real-time visibility into every IP, domain, and sub-account with live email-provider response data and AI-driven deliverability health alerts. The results that SendX got after switching to SendPost can make any ESP jealous: ✨ Email delivery rate jumped from ~60% to over 95% (even in crypto, gaming, and affiliate!)  ✨ Warmup success rate improved from ~50% → 90–95%. ✨The same 5-person deliverability team now manages 20–30X more volume. If you want to try SendPost but are worried that it'll need more budget or take days to integrate, let me tell you that for SendX… ✨ Infra costs went down by 3X. ✨ Integration took <2 days, and full rollout happened in a week These results were possible because SendPost is built by people who actually run an ESP. We got tired of black-box analytics, no control over the speed of sending emails, and long delays in resolving any email delivery issues. We needed real control. Real visibility. Real accountability. So we built the infrastructure we wished existed. Here’s what makes it different 👇 ✅ SMTP-level analytics for every domain, subaccount, and IP. ✅ Auto IP & domain warmups that actually finish successfully. ✅ Granular ability to adjust mail queues and throttle sends per sub-account for optimal deliverability ✅ Deliverability alerts before something breaks. ✅ API-first design with Slack integration and webhooks that your ops team will love. …and so much more. SendPost isn’t for everyone. It’s for ESPs that are done playing blindfolded and ready to own their email delivery. 👉 Read the full before-and-after story behind SendX’s jump to 95–98% delivery: https://lnkd.in/gYK-AXDC

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Stop Bleeding Budget: Why Your Google Ads CPL is Skyrocketing in 2026 (and the Fix) Is your Google Ads Cost Per Lead (CPL) looking more like a mortgage payment lately? 📉 You aren’t alone. With the average search CPL hitting $70.11 this year, and competitive B2B verticals soaring past $100, the "set it and forget it" era hasn't just ended—it’s been buried. If you’re wondering why your leads are getting more expensive while your ROI stays flat, here is the 2026 reality check. Why the costs are high right now: The "Broad Match" Trap: Google’s AI is hungrier than ever. If you’re using Broad Match without heavy audience layering or deep negative keyword lists, you’re basically donating to Google’s R&D department. AI Overviews (SGE) Saturation: As AI-generated answers take up more "above-the-fold" real estate, the bidding war for the remaining top spots has turned into a digital arms race. Data Hunger: If you aren't feeding the algorithm first-party data, it’s guessing. And in 2026, guessing is expensive. The 2026 Fix: How to Lower Your CPL 1. Stop Chasing Volume, Start Importing Value Stop optimizing for "Lead Form Submits." Start importing Offline Conversions. By feeding your CRM data back into Google, you teach the AI to find people who actually close, not just people who like filling out forms. 2. Master the "Quality Score" Math A Quality Score of 8–10 can reduce your CPC by up to 50%. In 2026, this means your landing page needs to load in under 2.5 seconds and align perfectly with the user's specific intent. If your ad says "X" and your page says "General Y," you’re paying a "relevance tax." 3. Lean into PMax—with Guardrails Performance Max is the titan of 2026, but it needs a leash. Use Brand Exclusions and Asset Group reporting to ensure you aren't just paying for clicks you would have gotten organically anyway. 4. First-Party Data is the New Oil Upload your customer lists (Customer Match) to create "High-Value" seed audiences. This helps Google’s AI find "Lookalikes" that actually reflect your best customers. The Bottom Line: Google Ads isn't "broken"—it’s just evolved. The winners this year are the ones who act as AI Orchestrators, not just "button pushers." Ready to audit your strategy and stop the waste? Check out more insights at forsbj.com. #GoogleAds #PPC2026 #DigitalMarketing #LeadGeneration #MarketingStrategy #ROI

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If your DTC’s gross margin is under 65%, I can save you $660K-$1.3M right now. Save it with one decision: Don’t run ads. Agencies will say “we’ve got this.” 9 times out of 10, it’s bullsh*t. I don’t care what “edge” they claim. It’s not enough. They’ll take your retainer for 6-12 months. Then tell you this: “Ads can’t work unless you improve margin.” Here’s the math: $100K/month spend + $10K retainer. Over 6-12 months = $660K-$1.3M burned. Save the money. Fix gross margin first.

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If your CRO agency is only running UI/UX tests you’re leaving most of the money on the table. Because most agencies stop at Level 1 of testing. They’ll tweak a button. Rewrite a headline. Maybe test a layout shift. And sure, those things can move the needle. But they’re just scratching the surface. If you're serious about scaling profitably, especially with rising CAC and squeezed margins, you need to operate on all three levels of testing. This is CRO 2.0 - Customer Revenue Optimisation. I had a great chat with Alex McEachern 💎 at Intelligems recently, and this framework came through clearly. Here’s how it breaks down: Level 1: On-page testing This is what most people think CRO is. Buttons, headlines, PDP tweaks, layout changes. You're nudging conversion rate or AOV up. Example: bundling skincare products into ���routine kits” to increase basket size. These tests are quick and measurable, but they only optimise what's on the surface. If you stop here, you're optimising the symptoms, not the system. Level 2: Beyond-the-page testing Now you're optimising how the business actually works behind the scenes. Things like: - Pricing structures - Shipping thresholds - Promotions and offers These levers impact both conversion and profitability - especially as acquisition costs rise. One brand we audited recently saw their CPM double in 30 days. Same ads. Same targeting. No change in website performance. If you’re not testing margin protection in that environment, you're relying on the whims of Meta to stay profitable and spoiler alert- they don't care. Level 3: Business decision testing This is where CRO becomes a company-wide growth engine. You're testing operational strategy, not just customer-facing tweaks. Examples: - Flat-pack vs pre-built shipping - Trialling subscriptions with a small cohort - Soft-launching new products to validate demand - Testing internal tools that reduce cost or increase capacity This is business model optimisation. And it's where compounding growth happens. Most brands, and most agencies, never get past Level 1. Some touch Level 2. Very few even think about Level 3. But if you want sustainable, profitable growth - all three levels matter. This is the difference between CRO as a service, and CRO as a growth engine. P.S. If you want to test deeper growth levers before Black Friday, now’s the time. Drop a comment or DM me - happy to walk through your testing layers.

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Traditional SEO is becoming answer engine optimization (AEO). The biggest lever most Shopify merchants are ignoring: structured data. LLMs spend massive resources parsing unstructured web pages. JSON-LD gives them your content in the format they prefer. Every Shopify store has it by default, but most merchants have never verified it works. Talked through this on the DTC Podcast with Eric Dyck

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Healthcare marketers, monitoring AI Overviews (and how you show up in AI responses generally) must be in your measurement mix today for two big reasons. First, this research shows that Health (43% of queries) is one of the most common industries where AI Overviews appeared. Second, if you are at all interested in patients who are in the consideration phase, the fact that over 76% of AI Overviews are tiggered by non-brand queries should get your attention. Our team likes to say you can’t affect what you can’t measure. We can help you measure how your brand is showing up for not only AI Overviews but also on the likes of ChatGPT, Claude and Perplexity. Add AI monitoring to your measurement mix.

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Appointment Setters, Read This…** Most agencies fail in PPA not because of lead flow… …but because of broken systems. Here are 3 ways to LEVEL UP your PPA model if you want predictable results + happy clients: 🚀 1. Pre-Qualification Should Be NON-Negotiable Stop booking “anyone who replies.” Use a 3-step filter → Ideal ICP + Budget Check + Buying Timeline. This single change boosts show-up rate by 40–60%. ⚙️ 2. Move From “Random Messaging” → “Systemized Outreach” Your PPA model becomes scalable ONLY when your outreach is: ✔ Multi-channel (LinkedIn + Email + WhatsApp) ✔ Personalized at scale ✔ Daily tracked with KPIs Consistency beats creativity every time. 🧠 3. Build a ‘Show-Up Engine’ Most missed appointments are NOT due to bad leads — it’s lack of nurturing. Implement: → Reminder messages → Short videos from the founder → Social proof before the call → Same-day nudges You'll instantly increase the number of actual conversations your clients have. 💡 Bonus: Shift from “Pay-Per-Appointment” → “Pay-Per-Qualified-Appointment.” You’ll attract serious clients and create a premium positioning. If you’re an agency struggling with PPA results, the issue isn’t volume… It’s the framework. Fix the system → Results become predictable.

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BREAKING: Claude can now do SEO like a $10,000/month agency (for free). Here are 7 insane Claude Cowork prompts that can take your biz to $100k/month 1. Claude Cowork can fully analyze your competition’s weaknesses. "Scan these sites. What are these competitors' sites missing? Find the content gaps and tell me 5 topics I should cover to be more helpful than them." If you provide more value, you win the #1 spot. Period. 2. Claude Cowork to do a full Schema audit for your business “In chrome, open {{PASTE_URL}}. Check page source and list all schema. Say if LocalBusiness exists and if it’s useful. Output: (1) existing schema + verdict, (2) missing/weak schema + priority. For HIGH priority only, generate clean JSON-LD with placeholders. No guessing. No explanations. Be blunt.” 3. Claude Cowork can identify "Low-Hanging Fruit" keywords for your business. "List 20 high-intent local keywords for a [Service] in [City] that indicate a customer is ready to buy NOW." Instantly, you will have a list of "near me" and "emergency" keywords that actually convert. 4. Claude Cowork can understand your business and competitors “Open Chrome, visit my site {{MY_WEBSITE_URL}} and extract my business name, address, services, cities served and key selling points, then open these competitors {{COMP1}}, {{COMP2}}, {{COMP3}} and extract their services, target locations, strengths and trust signals, compare me vs them.” 5. Claude Cowork can dominate the Google Business Profile (GBP) feed.   "Analyze these [XYZ. com] competitor GBP posts by opening their GBP in Chrome. Identify their keyword gaps, then write 10 high-impact posts for my business in [City] that include local landmarks and a hard 'Call Now' CTA." Cowork does the heavy lifting while I take the #1 spot. 6. Use Claude Cowork to analyze competitor GBP posts and build a posting plan “Open Chrome and review the Google Business Profile posts of these competitors: {{COMP1}}, {{COMP2}}, {{COMP3}}. Analyze their post types, posting frequency, content themes, offers, CTAs, media usage, and timing. Identify what patterns correlate with strong map rankings and engagement. Based on this analysis, create a clear, non-generic posting plan for my GBP that specifies post types, frequency, themes, and CTA style. Avoid vague advice. Make the plan directly actionable.” 7. Use Claude Cowork to do all the keyword research. "Open Chrome, go to ahrefs and analyze my competitor XYZ. com’s top 20 pages, extract their target keywords, search volumes, and give me a prioritized list with difficulty scores in a spreadsheet." The strategy is still yours. The execution is now instant. If this thread made you realize your SEO is underperforming.. Imagine what happens when this exact Claude Cowork system is applied to your business. We reverse-engineer what already ranks and execute it cleanly. Apply here if you want similar results: ecomlifters.com

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SERPs are getting more visual by the week. If your images aren’t optimized, you’re leaking SEO value. 📷 Quick story: we audited 300 PDPs and found 900KB heroes and stretched thumbnails. After a 3‑day fix, LCP halved and organic clicks rose double digits. What worked: - Ship modern formats (WebP/AVIF) and keep the hero ≤200KB. - Serve the right size (srcset/sizes), set width/height, preload the LCP image; lazy‑load the rest. - Write alt like a caption (action + attribute + intent) and use clean, keyworded filenames. If images vanished from your site, what would break first—and what does that tell you about your current image strategy? #TechnicalSEO #ImageOptimization #CoreWebVitals

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I ran my first SEM campaign in April of 2010. Here's what I've learned after 15 years doing PPC/social/syndication/display advertising: 1. No $1K/mo Blind Bets Do not green-light even a $250 budget without proof. Start at $10/day for three days on LinkedIn or Facebook. If you’re not seeing traction, you stop. Not “wait to see what happens.” 2. Benchmark Against Your Actual Client Lifetime Value Don’t settle for a low cost per acquisition on a one-off download. Require each campaign to deliver 2.5-3× payback over a 5–10 year advisory relationship. Anything less? Hit pause. 3. Drive to One High-Value Commitment All ads must point to exactly one CTA. “Book a 15-minute session to review your options.” Drop the ebooks, webinars, and white papers. Letting your team juggle multiple downloads, webinars, or gated content loses focus. And it attracts tire-kickers who will waste everyone's time. 4. Laser Targeting Or Bust Layer AUM bands, senior titles, and behavioral signals (e.g. retirement webinar attendees). For cold outreach, stick to 3rd degree connections, maximum. Without structure like this you’ll be happy about how cheap the impressions are, but they will never convert. 5. Enforce a Nightly Quality Check Each evening, require a one-line email: • Form fills by AUM tier • Sessions booked • Planned creative tweak if sessions above is zero that day Waiting a week is too slow. Underperformers drain the budget fast. 6. Scale Only Ads That Book Real Conversations If you book a real prospective client session, pause everything else. Double that ad’s budget for three days. If engagement holds, double again. If you try to scale the entire thing, you will never figure out what's driving ROI. 7. Track Relationship Metrics, Not Just Clicks Monitor time on page, and form-completion quality (accurate AUM info). If form-quality dips below 60%, fix your landing page. Otherwise the volume alone from ad spend will clog your CRM. 8. Always Have a Human-First Contingency When ad engagement softens, pivot immediately: pull that same list for a personalized email or LinkedIn DM from a senior advisor. Automation is one lever. The secret weapon is having a real human follow-up. Bonus Tip: Hold Your Agency Accountable Require weekly scorecards showing which guardrails they followed, which campaigns passed your 3× payback test, and which are paused. Do not settle for vague reports. Make sure they give you raw dashboard access. -- Disclaimer: These strategies are not optimal. But if I led marketing at a wealth management firm and wanted to run paid ads in a pinch, this is what I would do. I don’t claim to be your hands-on ad buyer. That’s your team’s job. But I do know how to keep them out of trouble. I’ve been in the trenches at growth‐stage tech and B2B firms where I managed seven-figure ad budgets and drove sustained pipeline lift for companies scaling from zero to millions in ARR.

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Turning Raw Keyword Dumps into Clean, Clustered Topic Maps with AI Topic maps do. Most SEO teams sit on massive keyword dumps — thousands of terms with no structure, no prioritization, and no clear path to execution. That’s not a keyword problem. It’s an organization problem. AI changes this by transforming raw keyword chaos into: ⚡ intent-based clusters ⚡ parent–child topic relationships ⚡ clear pillar & supporting pages ⚡ content gaps competitors already own ⚡ internal linking logic built-in Instead of asking: “Which keyword should we target next?” You start asking: “Which topic should we own?” That shift is what turns SEO from page-by-page optimization into compounding topical authority. Raw data informs. Structured topics scale. AI doesn’t just clean keyword lists — It builds the map that your SEO execution follows. #AISEO #KeywordClustering #TopicalAuthority #SEOAutomation #ContentOps #SearchStrategy

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Retainer Agencies set-up to fail Here are the 9 mistakes I see nearly EVERY time when transitioning to Pay-Per-Lead. Just do the opposite. 1. Niche wasn’t scalable Ensure there are plenty of Buyers on a national level. Avoid hyper-local niches with limited demand. You can work on that when you are generating free cashflow. 2. Neglected Sales 
Always prospect. It amazes me how many think one Buyer is ok. Complacency kicks in and you’re out of pocket. You need to sell every lead; having a depth of Buyers will help you achieve that. Don’t rely on that “Whale Buyer. Start prospecting today. 3 Didn’t qualify leads, lost contract It’s super important to filter out leads that are non contactable or fake. This is the #1 reason so many of the Lead Buyers I speak to pull the plug. 4. Didn’t get Buyer feedback You need to know what leads are converting else you can’t send more of what they want. If you don’t act quick enough, low conversion rates for the Buyer is a good reason for the Buyer to pause. High conversion rates for the Buyer = Your Leverage! 5. Didn’t consider out of hours Most Buyers will only want leads certain days of the week / hours of the day. If they take leads 24/7 expect leads to be priced differently based on the time generated. 6. Got the pricing wrong 
You should know what a lead is worth. Ask peers, join groups, call Buyers, call other sellers or ask LeadByte. At scale, a few quid ($€£) here or there can make the difference between a profit or loss day. 7. Miscalculated CPL’s Don’t assume conversion rates or how much you are paying for a lead for will be the same as that known brand and dialled in ad account you have been managing for your client. 8. Ran out of money Make sure the payment terms work for you. I would encourage payment upfront but at least weekly billing. AMEX your Ad Spend, to ease cash flow if need be. 9. Didn’t have terms agreed in writing An Insertion Order outlines what a billable lead is, what the Buyer will pay, the schedule, payments terms and returns policy. TAKEAWAY: Pay-Per-Lead done right is insanely profitable. Overlook the basics or become complacent and you’re back to trading time for money with your retainer biz. The successful ones obsess with the numbers and have Buyers on speed dial. ✍️ DM me if you want help. I work at LeadByte we help Pay Per Lead companies SCALE with tech that routes leads to Buyers that make you more profitable as a Lead Seller.

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Your Website Gets 1,000+ Visitors Per Month. You're Only Converting 2% of Them. The other 98%? They browse your site, check out your pricing, maybe read a case study... then disappear forever. Until now. Tools like RB2B are game-changers. They tell you exactly who visited your website, what pages they viewed, and which companies they work for. But here's where most people screw it up: They take that goldmine of intent data and send emails like this: "Hi [Name], I saw you visited our website. Do you have 15 minutes for a quick call?" That's not personalization. That's stalking. The right approach? I just built an AI script that turns RB2B visitor data into emails so natural and well-researched, prospects forget you're reaching out because they visited your site. Instead of "I saw you on our website," you get: Personal details that authentically connect to you Industry insights that show you understand their world Proof points that matter to their specific use case A soft approach that feels like networking, not sales Why this matters: Someone visiting your website is the warmest cold lead you have. They're actively researching solutions. They've shown real intent. But if your follow-up screams "tracking pixel," you've blown the opportunity. The best sales teams turn website visitors into "how did this person know exactly what I'm dealing with?" conversations. That's what this script does. It helps you leverage RB2B data without sounding like Big Brother. Your prospects think you're incredibly well-connected and insightful. You're just using the intel they gave you by visiting your site. Want the script generation prompt? Like, connect, and comment "prompt" and I'll send it over. And shoutout to Samantha McKenna and her SMYKM (Show Me You Know Me) messaging framework for the script. P.S. - If you're running RB2B or similar visitor ID tools, this will turn your 2% website conversion rate into something that actually moves the needle. Finally put that visitor data to work.

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Here's the difference between testing hooks and testing concepts (and it's costing you more than you think): A hook is the first 3 seconds. It stops the scroll. A concept is the underlying argument. It earns the conversion. Most DTC brands are running 40 variations of the same argument with different opening lines. "Struggling with [problem]?" "Here's why [problem] keeps happening." "The truth about [problem] nobody tells you." Three hooks. Same concept underneath. Same promise. Same buyer. Same emotional payoff. Meta sees it as one ad. So when someone tells you to "just test more hooks"... they're giving you advice that optimizes for click-through rate while leaving conversion rate, audience reach, and long-term scaling completely untouched. The hook got them to stop scrolling. The concept is what makes them buy. You need both. The accounts that scale past $50K/month on Meta aren't running more hooks. They're running more concepts... different problems, different desires, different buyers, different reasons to purchase the same product. When your creative system runs out of road, it's almost never because you've exhausted your hooks. It's because you've only ever made one argument. You've tested 40 hooks but you haven't tested a single new concept. IMPORTANT: Check the top comment for a practical way to audit this in your own account:

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Doing $0-$5M? Have high website traffic? This is your most underrated marketing tactic. 👉 CRO (Conversion rate optimization) Your website is your biggest marketing asset, but most SaaS brands between $0-$5M don't use it to it's full potential. Here should be your goal for this month: 👉 Setup a free Mida account (link in comments) 👉 Setup a homepage A/B test 👉 Start tracking your conversion rate We just had a SaaS client 2x their demos with a single split test with a free Mida account. It's SO underrated.

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Stripe's website violates every rule about API marketing. Their homepage links directly to curl commands. Test keys are public. The docs have better navigation than most marketing pages. Here's why their nerdy site converts everyone: 1. They built for developers, not consumers PayPal owned payments by focusing on consumers. Stripe went straight to developers. The entire site speaks in code. API references in main nav, Curl commands on the homepage, Technical docs as marketing material. They bet that developers would choose the payment infrastructure, not end users. PayPal never saw it coming. 2. You can use Stripe BEFORE you sign up Go to stripe.com/docs. Copy the test key. Run the curl command. See your request in their logs. You just processed a (sample) payment through Stripe without giving them your email. Compare this to every competitor: PayPal requires business verification. Adyen needs a sales call. Square makes you create an account. Stripe lets you experience success first, KYC friction second. Within hours, you could have already integrated their API. You've invested serious effort. The psychological commitment already happened. That's why their activation rates destroy everyone else's. 3. Test mode never expires and has zero limits Most API companies give you 14 days or 100 requests. Stripe gives you infinity. Public test keys. Unlimited requests. Full functionality. Forever. Startups can run in test mode for 6 months while building their product. By launch day, they’ll have written thousands of lines of Stripe-specific code. Trained their entire team on Stripe's patterns. Built their database schema around Stripe's objects. The cost to switch would be MONTHS of rewriting. Stripe turned their free tier into it’s stickiest feature. Once you build on test mode, production is inevitable. 4. The documentation IS the sales process Every Stripe page has two buttons: "Start now" and "Contact sales." Both lead to the same place: the API reference. No separate enterprise portal. No PowerPoint decks. No solution architects drawing diagrams. The Fortune 500 CFO validating compliance and the developer implementing payments read identical documentation. BMW evaluated Stripe using the same public docs you're using. When code becomes the sales material, two things happen: 1) Developers trust it (no marketing bullshit) and 2) executives can verify claims themselves (reducing sales cycles from months to weeks). KEY LESSON Stripe's site speaks exclusively to developers, not consumers. No "Pay with Stripe" badges. No consumer benefits. Just code. This let them bypass PayPal entirely. Every developer who chose Stripe became their distribution The site converts because it ignores 99% of people to obsess over the 1% who actually implement payments.

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Hot take: Most keyword research tools are actually making you WORSE at SEO in 2026. Listen first. These tools mostly focus on one thing: search volume and difficulty scores. But those numbers worked better in 2019. In 2026, they’re mostly just noise. What really matters now: Search intent (and does that intent match YOUR business model?) Natural, conversational language Clear entities (can AI clearly understand what you do?) Topic connections (is your content built around related subjects?) Fresh content (is your information up to date?) Right audience fit (does this keyword attract YOUR ideal customers?) Most SEO tools don’t measure these things. They mainly track volume and clicks. So you end up chasing keywords that look “great” in a tool but bring the wrong audience. Or keywords that don’t truly solve your customer’s real problem. The better approach? Use tools as a starting point, not the final decision. Then apply human thinking: ✓ Is this keyword based on a real question from our customers? ✓ Can we explain it better than others? ✓ Does it fit our business model? ✓ Will AI systems clearly understand and trust this page? If the answer isn’t yes to all four, skip it. Even if the tool calls it a “high-opportunity keyword.” This is why small SEO agencies with 8–10 people often beat big companies with 100+ marketing staff. They think smart. They don’t just depend on tools. So be honest—are you blindly trusting SEO tools, or are you using your own judgment too? #SEO #SearchEngineOptimization #OffPageSEO #DigitalMarketing #LinkBuilding #GuestPosting #ClientSuccess #SEOVision #OnlineGrowth #BusinessGrowth #GoogleRanking #AuthorityBuilding #MarketingStrategy #GetVisibleOnline Follow Us Khizar Yaqoob If you want SEO or blogging, visit my website. 👉 https://lnkd.in/dj6drJuV 👉 https://lnkd.in/djHVaWty

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