Yury Byalik, Esq.

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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The agency space has a new plague. (+ is exactly why agencies get a bad rep) Some group are selling N8N templates wrapped as "proven AI-enhanced agency offers." And they claim you can easily sell the services for $8k-$10k/mo. → Buy our templates → Sell them to big businesses → Let AI do the work → Get rich This is exactly what's wrong with the agency space. When you sell templates without understanding the underlying systems, you're not running an agency. You're a middleman with zero depth. → A client asks why something broke? You're stuck. → They want customisation for their business model? You can't deliver. → They need strategic input? You have none. No critical thinking involved. No real expertise involved. The agency model gets sold to people as easy money and financial freedom. It's not. Running a real agency is one of the hardest businesses out there. You're managing multiple clients, each with their own economics, operations, and challenges. Each one is basically a mini-business you need to understand deeply. Agencies that win LONG-TERM aren't the ones spitting out templated AI slop. They use it as a tool to increase efficiency, but ultimately is not the thing a client should be paying for alone. In our world of retention marketing, we need to understand how our work impacts the likes of CAC payback, LTV, profit contribution, etc. You can't learn that from a template. Sadly, the agency space is flooded with people chasing quick money instead of building something that actually delivers value. If you want to build a real agency that lasts and delivers results... It takes time. Deep expertise. And actually giving a shit about your clients' success. Not buying someone's shitty N8N template and calling it a service.

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Contracts don't build affiliate relationships. Results do. The partners who send you their best traffic aren't doing it because of your payout. They're doing it because working with you is predictable, transparent, and profitable for them too. Here's how to become the partner everyone wants to work with: → Pay on time. Every time. No exceptions. → Share performance data openly — don't make them guess → Give feedback on traffic quality quickly and specifically → Offer exclusivity or bonuses to top performers → Pick up the phone when there's a problem In a space full of people optimizing for the short term — be the one playing the long game. That's how you build a pipeline that never runs dry.

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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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Agencies are crushing it with Claude Code: Small agency owner. 34 active vendor and client contracts in a Google Drive folder. No idea which ones auto-renewed, which had rate escalation clauses, or which were expiring in the next 90 days. He opened Claude Code. Said: "Read every contract in this folder. Build me a spreadsheet with key dates, renewal terms, termination notice periods, and anything that costs me money if I miss it." Went to pick up his kid from school. Came back to a CSV with every contract parsed. Renewal dates, notice windows, rate increase triggers, liability caps. Color-coded by urgency. Three contracts were auto-renewing within 30 days. One had a 60-day termination notice window that had already passed. He was locked in for another year on a tool he'd stopped using. It also flagged two contracts with conflicting non-compete language that could cause problems if he took on a new client in the same vertical. He didn't ask about that. No paralegal. No contract management SaaS. One sentence while he drove to school. He cancelled the unused tool before the next renewal and saved $14K.

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I audited a local agent this week. Here’s what I found: • 1 reviews in 5 years • No keyword optimization • No posts • No service area setup • Competitor ranking above them with 70+ reviews Same city. Same market. Guess who’s getting the call? Visibility compounds. Listings go to whoever shows up first and looks most credible. If you’re an agent and haven’t looked at your Google profile in 6 months… you probably have leaks.

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startup idea for you:"AI agents that finds expired dotcom domains" every day 50,000 domain names expire. most are garbage lbut hidden in there are gems - domains with real traffic, clean backlinks, brandable names that someone will pay thousands for. domain investors know this. they make serious money buying expired domains for $100 and flipping them for $5k+. i did this when i was younger but finding the good ones is pure torture. right now they manually download massive lists of expiring domains, then spend hours checking each one. does it have traffic? clean backlink history? is the name brandable? by the time they finish analyzing 50 domains, the best ones are already gone. this is exactly what AI agents are built for. pattern recognition at machine speed. how it works: your ai agent watches all the domain drop lists 24/7. it checks each domain's traffic history, backlink quality, spam scores, and brandability. when it finds a winner, it texts you: "XYZ domain dropping tomorrow. 5k monthly visitors, mentioned in techcrunch, estimated auction price $300." how to build it: weekend mvp: connect to daily domain drop feeds, run everything through a scoring algorithm, send sms alerts via twilio when something hits your criteria. plug in apis like majestic seo and similarweb for traffic data. charge $99/month to beta users. how to grow it: start with 100 beta customers paying $99/month. these people currently spend 2+ hours per day doing this manually, so you're literally paying them to use your product. wont be easy to find first 100 customers. maybe you'll have to create tons of yt content, x content around what you're seeing out there, but i do think its possible. scale to 1,000 customers = $1.2m arr. your only real costs are data feeds and servers and your team. but this could be a 1 person biz with contractors. add features: auto-bidding at auctions, one-click listing to marketplace sites, private deals for agencies. each new feature makes manual competitors look like cavemen. (thanks to @ideabrowser for this idea) why i like AI agent businesses like this domain startup idea (and how to find them) look for markets where people are: → doing repetitive, boring work that requires pattern recognition → monitoring multiple data sources 24/7 (impossible for humans) → already paying significant time/money for manual solutions → making real money when they find opportunities (so they won't churn) → working in industries where speed = competitive advantage the best ai agent businesses solve problems that are too tedious for humans but too valuable to ignore. find the digital needle-in-haystack problems where people are burning hours for clear ROI. happy building. for more startup ideas, go to ideabrowser.com (and sign up)

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I just watched BlueTex Insulations go from $33K to $137K monthly with one launch strategy most sellers get completely wrong. No giveaways. No external traffic tricks. No "hacks." Just a systematic PPC approach that most agencies overcomplicate into oblivion. Here's the truth about Amazon launches: everyone obsesses over campaign structures while ignoring what actually drives velocity. The 4-part system that separates winning launches from expensive experiments: Part #1: Get data before you scale Start lean with multiple targeting types across Sponsored Products, Brands, and Display. The goal isn't immediate profit - it's finding what converts. Sales velocity + conversion signals = ranking momentum. Part #2: Fix your click-through rate first Low CTR equals wasted spend and zero rankings. Use Brand Analytics to find your CTR benchmark, then test primary images until you're above it. One image test nearly doubled our CTR and spiked daily sales instantly. Part #3: Launch with layers, not single campaigns Forget the old advice about single-keyword exact match at top-of-search. We layer: - Broad match campaigns for scalable, cheaper wins - Auto campaigns for keyword discovery   - Sponsored Brand Video for low-CPC rank pushes - Product targeting to win on weaker listings - Brand defense to block competitors You're not building one campaign - you're building a system. Part #4: Daily optimization is non-negotiable Your first 30-45 days determine everything. Tweak bids. Cut losers. Feed winners. Adjust listing creative as new data flows in. The early phase feels volatile but done right, it smooths into sustainable scale. Most launches fail because sellers follow outdated playbooks or chase the latest "hack." This worked because we built a campaign system, not a tactic stack. Ready to build a launch system that actually works? DM me "Gigabrands Growth Engine" and I'll show you what's missing from your approach. #Amazon #AmazonPPC #Ecommerce

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Most agency owners don’t think about exits—until they have to. And by then, it’s too late to fix the fundamentals. Here’s what I’ve learned from buying and selling agencies: → Small agencies with custom projects typically sell for 1.5–2.5x SDE → Productized agencies can sell for 3–4x, and more if revenue is higher → At $5M+ in revenue, I’ve seen deals hit 10x EBITDA Why the gap? Because predictability drives price. → Clear offers = stable margins → Documented processes = easier handoff → Less founder reliance = more scalable If you want to build a valuable agency: Standardize delivery. Build recurring revenue. Get your ops out of your head and into Notion. You don’t need to sell tomorrow. But you should build like someone might want to buy it someday.

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Affiliate revenue stuck? Treat SEO like a product testing lab—not a coupon site. A fast, proven playbook for SEO for Affiliate Marketing: - Hunt intent-rich modifiers: “best,” “vs,” “alternatives,” “for [use case],” “under $X,” “2025,” “beginner/advanced.” Build clusters around each category. - Teardown the SERP: note content types, word count, FAQs, imagery, price ranges, and gaps (hands-on photos, test data, real benchmarks). Fill the gaps—don’t copy. - Lead with experience: original photos, videos, test methodology, pros/cons, caveats. Add author bios, editorial policy, and review disclosures to boost E-E-A-T. - Structure to convert: comparison tables above the fold, sticky CTAs, skimmable pros/cons, “who it’s for / not for,” and clear alternatives. - Schema that earns: Product, Review, ItemList, Pros/Cons. Use rel="sponsored" on affiliate links. Transparent disclosures. - Cluster smart: 3:1 info-to-money ratio. Link info posts into your “best” hubs and key reviews. Fix orphan pages; use breadcrumbs. - Speed + UX: Core Web Vitals, jump links, compressed images, mobile-first layouts. Faster pages = higher RPM. - Links that stick: digital PR with data studies, expert quotes (HARO/Connect), manufacturer outreach, and “stats/tools” assets for natural links. - Refresh on a schedule: quarterly for money pages; only update dates with meaningful changes. Track decay in GSC. - Measure what matters: GSC by page type, rank by intent, CTR by SERP feature, and RPM (revenue per 1k visits). A/B test CTAs and comparison layouts. What tactic has moved your affiliate RPM the most this year? https://terrypower.com

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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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Most affiliate programs don’t fail because affiliates ignore them. They fail because the program launches unfinished. Low commissions, weak conversion, unclear positioning, and no plan for partner mix create a program no serious partner wants to touch. Coupon sites apply because they are the only ones who can make it work. Affiliate marketing is not broken. Program readiness is.

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