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SDRs and GTM Engineers and AEs are not the same. I still see teams hire SDRs and expect them to build the system too. They ask them to fix Clay tables, clean HubSpot, route signals, and maintain n8n workflows. Then they hire a GTM Engineer and ask why meetings are not getting booked. Both roles matter. They just own different parts of a modern AI-native outbound motion. We build this split for clients all the time, and the handoff needs to be clear. Step 1 → SDR is responsible for generating the meeting and the feedback loop ↳ Work Tier 1 accounts first and closely with the AE-s ↳ call, email, LinkedIn, and follow-up ↳ test angles and objections in real conversations (feed this back to the GTM Engineer) ↳ turn signal context into booked meetings (GTM Engineer creates this for him/her) Example: ↳ If an account engaged with content, visited pricing, and has a new VP, the SDR uses that context to cold call the lead + reach out Step 2 → GTM Engineers own system design and messaging that works for the SDRs and carry quota for automated outbound ↳ build ICP logic, scoring, and tiering ↳ connect Clay , HubSpot, Claude , Common Room, N8N, other tools ↳ set enrichment waterfalls and data rules, and govern the data with Ops ↳ route intent signals into the right sequence or rep queue ↳ audit what works and improve conversion paths and the full funnel Example: ↳ When 500 lookalike accounts are sourced through Clay, the GTM Engineer scores fit + signal, pushes Tier 1 into the SDR queue, and sends Tier 2 into nurture, Tier 3 for automated outreach. Contact and company fields created and updated in HS and SFDC, build new marketing/sales-related custom fields + dashboards Step 3 → Both roles work better with a clean boundary ↳ SDRs should spend time selling and testing new angles before automating these (or work closely with GTM engineers through growth sprints) ↳ GTM Engineers should build the engine and carry pipeline goals for programmatic motion, but act as true owners and enablers for SDRs to properly prospect high-value accounts. You can experiment a lot more effectivel + make the pipeline generation more predictable and repeatable when these experts work together and not against each other, so amplify each other's strengths. Save this for later when you revisit this with your team Comment "GTM team comparison" if you need this cheatsheet. P.S. If your team doesn't have the bandwidth or the expertise, we can help, and we work across your CRM, dashboard and sequencers and 1st/3rd party data by governing, automating, and activating it for sales use cases

Vercel replaced a 10-person sales team with 1 GTM engineer. Steps to become a wizard at AI (GTM) engineering (highest paid role of 2027): 1/ Open Claude code 2/ Have it researched your site, your customers, and top competitors 3/ Ask it which GTM workflows to build first + why with expected effort and outcomes 4/ Drop those prompts into Apollo, or build the workflows with Clay + Claude 5/ Use this roadmap and do this 10x and upskill yourself. That's the playbook. One engineer who has strong commercial results and acumen with an achiever mentality, plus a few thoughtful AI agents, now does the work that used to take 10 (and the gap only widens from here...) The next great GTM hire isn't a rep. Nor a project manager or a team lead. It's someone who can build this. That is exactly why we built our AI Agent Builder roadmap, job board, and courses. Find all these resources in the first comment 👇 Save this + reposts so others can upskill themselves. P.S.: No shameless plug - if you have a course, drop it in the comments.

One of the biggest reasons retailers now work with us is how we fit so seamlessly across their tech stack! We've quietly built a whole suite of integrations that help run smarter offers: 📧 CRMs - capture emails and any custom fields when an offer is claimed 📱 SMS providers - collect phone numbers for targeted follow-ups 🎖️ Loyalty platforms - automatically credit loyalty points for verified groups 🛍️ Ecom platforms - add personalised offer experiences in just a few clicks ✨ Personalisation platforms - deliver custom on-site experiences for different groups. 🔄 Webhooks & Zapier - push verified information into any platform Each integration enables retailers to own their customer relationships. Helping us maintain a clear competitive edge over discount marketplaces that position themselves between brands and their shoppers 💪

Most student discounts today look like this: 🔸 10% off, shown to everyone 🔸 A lonely banner in the nav 🔸 No control over who sees what, or when 🔸 No connection to CRM or loyalty tools 🔸 No performance reporting 🔸 Just... running in a silo Retailers are starting to realise this isn’t strategic. They want to run smarter, more integrated offers - with real targeting, visibility, and control. That’s exactly where we’re focused. And the feature set we’re building is nailing it 💥

Confiança constrói marcas e entrega resultados no B2B. 👇 No mercado B2B, onde compradores são mais críticos e seletivos, a confiança vai além de um diferencial: ela é o pilar do sucesso. Segundo um estudo conduzido pelo LinkedIn, 94% dos profissionais de marketing concordam que esse é o fator mais importante. Outros 42% classificam o aumento do reconhecimento de marca e da reputação entre tomadores de decisão como sua prioridade principal. Ou seja, não basta alcançar mais pessoas, é preciso consolidar sua marca como uma referência confiável. Afinal, a confiança traz resultados palpáveis: 🔹 Constrói relacionamentos de longo prazo; 🔹 Aumenta o engajamento com a marca; 🔹 Conecta sua solução às expectativas do comprador. Marcas que investem em confiança criam uma vantagem real, antes mesmo que exista intenção de compra. 👉 Na sua experiência, como a confiança impacta negócios B2B? _________ Sou Vinícius Ghise e trabalho com marketing e comunicação B2B há mais de 15 anos. Junto ao time da Global AD, já colaboramos com estratégias para algumas das maiores empresas do Brasil e multinacionais, nos setores de indústria, tecnologia, mercado financeiro, logística e energia. Se quiser saber mais, envie uma mensagem.

Every manufacturer feels the pressure to modernize, but going too big too fast backfires. Projects stall, teams burn out, and trust erodes before value shows up. Here's the fix:

Not all growth agencies become part of your team. But when they do, you’ll know the difference…🧠 One of our amazing clients, Rahat A. (from Retain International), recently shared his thoughts about Growth Division in an interview with us. What stood out to me most was that he described seeing our team as an extension of his own — and this is exactly the kind of feedback that never gets old… Especially when we’re working across multiple growth channels, adapting quarter by quarter, and assembling specialist teams to support each new challenge. That’s the power of the GD model: ✅ Access to vetted growth experts on demand ✅ Flexibility to scale teams up or down ✅ Built-in communication and structure so nothing slips through the cracks ✅ A bespoke approach for every startup we work with It’s not about offering services. It’s about plugging in the right people at the right time — and becoming an engine for startup growth. Big thanks again to Rahat for the kind words — and for trusting us with your team’s growth journey! 💪 🎥 Check out his testimonial below 👇 ------------------ Need help hiring an expert? 🤔 👉Drop me a message or visit Growth Division to find out more about our amazing community of digital marketing specialists: https://lnkd.in/dMHztsxr

I’ve narrowed down the channel mix for over 200 startups. Here are five mistakes to avoid when choosing yours: Testing too many channels at once → Test 3-6 channels at once. Any more and you’ll spread yourself too thin and not be able to draw meaningful conclusions about what’s actually working. It’s better to give a channel your all, and cut it down the line if it’s not adding value. Only following what your competitors are doing → Competitor activity can be a good marker that a channel is workable, but try to save space for a wildcard that could pay off big. Rushing into the channel mix before the basics are in place → Don’t start this step before you know the essentials. What does your customer journey look like? Are you confident you have product-market fit? Not considering the blend → Think about how your channels will work together and strengthen each other, and when each is likely to pay off. Thinking these are your ‘forever channels’ → Every channel should be framed as an experiment. If, after months of testing, you’re confident that it’s not working for you, it’s time to pull the plug and test something else. If you’d like to know how I approach choosing the channel mix for a new startup, I’ve written up my process, including the 54 questions I ask across 20 potential channels. https://lnkd.in/dhfks4Qc

Which marketing effort is actually making us money? That’s the question most decision-makers ask themselves but rarely get a clear answer from their team. What they don’t realize is that their team doesn’t have the right tools to answer that question. Most marketing teams still rely on outdated tracking systems like: • Google Tag Manager • Facebook & Google Pixels • Google Analytics 4 The problem? These tools are being blocked by Safari, which prevents your team from getting the data they need to accurately measure ROI. Want to know if your tracking is being blocked too? 👉 Type “BLOCKING” in the comments, and I’ll send you a free link to a tester that scans your website and shows you if your tracking is getting blocked.

“If you build it, they will come” doesn’t work in B2B eCommerce. Here’s how we help manufacturers guide their customers into using a new buyer portal, one login at a time.

The Box team is redefining what "video-first" really means. In just a few months, they’ve transformed how video content moves across their organization - from community enablement to content marketing - all powered by Goldcast. What used to take hours of manual editing is now happening in minutes. The result: 🌟 100K+ monthly views across their channels 🌟 Studio-quality short clips, ready in minutes with AI 🌟 Stronger community engagement and stickier customer relationships The speed to market for video content has tremendously improved, and thus the content consumption from their customers and communities. Huge thanks to Thomas Deely, Ashesh Satvedi, Tricia Gellman and the entire Box team for trusting us to power their video strategy and for showing what’s possible when creativity meets speed.

The biggest Scam in B2B Marketing...CPL. Marketers celebrate them like trophies, until they realize 70% of those “leads” are junk. For one of our clients, we ran PMax campaigns that looked great on paper: ✅ 1,967 leads in 45 days ❌ but CPQL was 3X than CPL So we asked Google Ads MCP (connected with HubSpot MCP): “For the leads generated in the last 45 days, give insights and optimizations to reduce junk.” Within minutes, it analyzed everything and gave 4 clear solutions. One clicked immediately. 💡 It spotted that most junk came from users selecting 0–10 or 1000+ employees on the landing page form. Our guess? Those were just the first and last dropdown options. We stopped sending those conversions back to Google. Two weeks later: 📈 CPL ↑ 15% 💥 CPQL ↓ 60% Simple fix. Massive impact. The GrowthSpree + Zipeline ecosystem is turning minor optimizations into significant revenue shifts. Adoption still takes time, but the results speak for themselves. Check us out! (link in comments) 👇

The Merchynt team is firing on all cylinders now! Not only does our Paige platform fully automate local SEO services for agencies, but now it also warns agencies when it thinks their clients are likely to churn, so they can get ahead of it with our Churn Prevention Dashboard. I'm very proud of this new feature, as it stems from conversations we have every day with SEO agency owners within our community, which now includes over 500 agencies. For everyone who has been a part of our journey so far, thank you. And if you're not yet familiar with Merchynt and Paige, check it out at www.merchynt.com.

I’m pleased to share that Phil Davis, Global VP GTM for Google Cloud, has joined Prophet's Advisory Board. Phil has led large scale transformation across Google Cloud, AWS APJ, Hewlett Packard and Dell. His experience building and commercialising global cloud platforms will meaningfully strengthen the next phase of Prophet’s growth. Prophet builds a living digital clone of an organisation. It measures what has happened and simulates what could. Phil’s appointment helps us deliver this in a way that is simpler, faster, and more scalable across global enterprise environments. For our customers this means: - Greater alignment between our modelling engine and the cloud-native foundations required to run simulations at scale. - Guidance from someone who has repeatedly operationalised complex technology into no-brainer decisions for enterprise buyers. - Stronger support as we continue to advocate for independent, transparent measurement as a baseline standard across the globe. Our job is not to know more. Our job is to help organisations know more. Phil strengthens that mission and helps us take the market from basecamp to the summit with clarity and confidence. Welcome Phil. Exciting chapter ahead. https://lnkd.in/g9u5CCuT #prophet #digitalclones #martech #measurement #mmm Paul Veltman Sean Taylor Hamish Mogan Eimear Colleran Matthew W. James Sawyer Max Templeton

🥁GrowthSpree has a new address… again. 🥁 🤩 Our second new address within 12 months. We actually moved here in March this year, so this post is way overdue, but when I walked into the office today, something hit me. A feeling I am unable to explain; a mix of happiness and...fear. The bigger rooms. The buzz. The energy. The tiny moments that make a space feel alive. It suddenly struck me how far we’ve come — from a small setup… to this. More conference rooms. Proper calling booths. And even a small rec corner (with a Meta batt I still haven’t tried 😂🎮). But the real upgrade? The people. The culture. The feeling of building something meaningful together. ❤️🔥 I’m genuinely proud of what this team has created. It’s surreal, in the best way possible. But yes, there’s also that whisper of fear: “Can we keep this momentum going?” 😬 But standing in that space today (only my third visit), I realized something: If we’ve grown this fast together… I’m excited and slightly nervous to see where we go next. 🚀🌟 Here’s to the new GrowthSpree - Growth Partners For B2B SaaS: Bigger, better, louder, and still just getting started. 💛🔥 PS: If you are traveling to Delhi NCR, please do come and work from our office!

Anyone see Salesforce CEO Marc Benioff’s tweet following Google’s Gemini 3 launch? 👀 “I’m not going back” captures the excitement of the moment, but Gemini 3 makes something very clear: the race between language models is only getting started. And if the past year has shown us anything, it's this: 𝗡𝗼 𝘀𝗶𝗻𝗴𝗹𝗲 𝗺𝗼𝗱𝗲𝗹 𝘄𝗶𝗹𝗹 𝗯𝗲 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗮𝘁 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴. 𝗘𝘃𝗲𝗿𝘆 𝗺𝗼𝗱𝗲𝗹 𝗺𝗶𝗴𝗵𝘁 𝗯𝗲 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗮𝘁 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴. Models are evolving so quickly that the best choice for each type of marketing content can shift in a matter of weeks. For marketers, the future is not about betting on one model. It is about having access to the best combination of models and routing work to the right one at the right moment. As a marketer, this is why I am so bullish on Jasper’s LLM-optimized approach. We continually split test across models and incorporate real-time user behavior to identify which one performs best for each type of marketing content. That way, customers always get the strongest output without chasing every shift in the market or switching vendors whenever something new launches. For enterprises and marketing teams, this is the real challenge. It is no longer “Which model should we pick?” It is “How do we maintain consistent, high-quality output when models are constantly changing and every team is using something different?” This is the moment where orchestration and alignment matter. The moment where intelligence has to sit above the tools, not inside a single one. And with the introduction of our MCP server, alongside our LLM-optimized approach, that is exactly the layer we are building at Jasper — so brands can scale content confidently no matter where marketing content is being generated or how fast the model race accelerates.

Het is tijd om verder te denken dan alleen de campagnes. Als deze zin je triggert, lees dan vooral door! 👉 Bij Gradient geloven we dat performance marketing meer is dan enkel advertenties draaien; het is de sleutel tot echte klantgroei. Jij draait niet alleen aan knoppen, jij bepaalt de strategie. Als Medior Performance Marketeer ben jij de bestuurder van de machine tussen creatie en resultaat. Je begrijpt de waarde van data, maar weet dat echte impact pas ontstaat als je die data vertaalt naar strategische keuzes. Jij bent degene die klantdoelen omzet in meetbare prestaties, niet afwachtend, maar als proactieve adviseur. Je werkt datagedreven, denkt strategisch, en schakelt sneller. Performance, content, advertising, slimme automations: jij weet waar de hefboom zit. En ja, we gebruiken AI. Niet omdat het hip is, maar omdat het ons in staat stelt om slimmer, sneller en effectiever te werken. Dat is de kracht van Wat je bij ons krijgt: 🔑 Meer verantwoordelijkheid: Jij bepaalt de richting van klantstrategieën. 🤝 Klantimpact: Jij bouwt relaties en neemt eigenaarschap van het klantresultaat. 🚀 Testen, leren en groeien: We geven je de vrijheid om nieuwe ideeën en tools te verkennen. 📊 Data gedreven: Jij hebt de regie over de cijfers en begrijpt de mensen erachter. Ben jij klaar om niet alleen als specialist te werken, maar als strategisch partner voor je klanten? Wil jij je ervaring naar een hoger niveau tillen en meehelpen aan groei die werkelijk telt? Bekijk de vacature in de comments en join us in onze missie om performance marketing naar een hoger niveau te tillen.

AI visibility tools “measure” fantasy, not reality. They are measuring something that doesn't exist in the way they claim. In this article we’ll show you the findings of our hands-on, head-to-head AI visibility tool test. We ran the same prompts across multiple platforms. We manually verified the results. We analyzed the recommendations. This included a standardized set of prompts across each tool in multiple runs, looking at internal consistency, comparability across platforms, and results of manual queries in Google AI Mode, Google AI Overview, Gemini, ChatGPT, and Perplexity. Each prompt represented a different stage of the funnel: - “Best accounting software for small business” for TOFU. - “QuickBooks alternatives” for MOFU. - “FreshBooks pricing” for BOFU. Our analysis largely focused on results for FreshBooks, but we also gathered data for competitor brands, like QuickBooks, Zoho Books, Wave, and Kashoo. The results confirmed our hypothesis: the data provided by these tools is inconsistent, often inaccurate, and a poor reflection of real-world LLM behavior. - Key finding 1. High variance across results for the same brands and prompts - Key finding 2: Discrepancies with manual verification And my favorite? - Key finding 3: Generic, unactionable, contradictory recommendations

My brother Rasmus (CEO of Genero) said something interesting yesterday. 🧠 “What I hope will happen in the near future with the help of AI is that budgets will no longer be the bottleneck. Creativity will be the limit.” I think this is very likely to happen soon. Think about what that actually means. For decades, marketing has been a game of who has the biggest budget. Who can afford to produce more? Distribute more. Reach more. AI is changing that equation fast. When the cost of production moves toward zero, that advantage shifts. It will no longer be about who has the deepest pockets. Rather, those who have the best ideas and the sharpest brand strategy to execute them. At Genero, we’ve been building for this shift in two specific areas: 𝗚𝗘𝗢 — as users move from Google to AI-powered answer engines, being found requires a completely new approach. We’re helping brands get cited and recommended by AI — not just indexed. To win here, you need a clear brand strategy and great content. 𝗔𝗜 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 — scaling quality content used to be slow and expensive. We’re helping brands produce more relevant content, faster, without losing the creative edge that makes it worth reading. 6 months ago, AI content was of poor quality. Today, you will not even notice what is AI-generated. To win here, you need the Art Director know-how. The Art Director of the future will be an Art Prompt Director. The question is: If you could execute any idea instantly, do you have a big idea worth executing? The tools are being democratised. The budgets are becoming secondary. The only thing that matters now is the quality of your thinking. Are you ready for that? #AI #MarketingStrategy #GEO #CAAS #Genero #Creativity #GrowthStrategy

Le tue email generano più ansia che fiducia. Ma continui a mandarle perché tutti lo fanno. Un paper pubblicato a gennaio 2026 sul Journal of Consumer Psychology ha messo nero su bianco una distinzione che chi gestisce e-commerce dovrebbe tatuarsi addosso. Esistono due tipi di pazienza completamente diversi. La prima è la pazienza nella decisione: il cliente sceglie la spedizione standard invece dell'express. Risparmia 5 euro, accetta 5 giorni di attesa. Scelta razionale, tutto ok. La seconda è la pazienza nel processo: come si sente quel cliente nei 5 giorni successivi. E qui si rompe tutto. Perché la ricerca dimostra che scegliere di aspettare e sopportare l'attesa sono due processi psicologici separati. Guidati da meccanismi diversi. Uno è una preferenza. L'altro è un'emozione. E l'emozione, a differenza della preferenza, cambia ogni ora. Gli strumenti che usiamo per ridurre l'incertezza al momento dell'acquisto aumentano l'impazienza durante l'attesa. Il tracking in tempo reale. Le notifiche "il tuo pacco è in transito". I countdown "consegna prevista entro le 18". Tutti questi tool fanno una cosa sola: rendono il tempo visibile. Tengono l'attenzione del cliente incollata al passaggio dei minuti. E più il tempo è visibile, più l'attesa diventa insopportabile. Lo studio cita un esperimento: quando ai partecipanti veniva tolta la possibilità di controllare l'ora durante l'attesa, l'impazienza calava. Significativamente. Pensaci un secondo. Stai investendo in notifiche push, email transazionali, pagine di tracking brandizzate. Tutto per "migliorare l'esperienza post-acquisto". E il risultato è un cliente che apre l'app 6 volte al giorno, si irrita perché il pacco è fermo a Bologna da 14 ore, e ti scrive un ticket. Il tracking non calma ma accende un timer nella testa del cliente e lo costringe a guardarlo. Questo non vuol dire eliminare il tracking. Vuol dire ripensare cosa comunichi e quando. Meno aggiornamenti granulari, più contesto. Meno "il pacco è al centro di smistamento", più "il tuo ordine arriva domani". Meno notifiche che rendono il tempo visibile, più messaggi che rendono l'attesa invisibile. Chi capisce la differenza tra rassicurare e ricordare al cliente che sta aspettando ha un vantaggio competitivo reale, gli altri continueranno a mandare 7 email per un pacco da 29 euro.

E-commerçant ? Votre marge nette est dans la poche de #Google et #Meta. Et vous le savez. Vos coûts d'acquisition augmentent. Encore et Toujours. Et votre marge, elle, disparaît peu à peu. C'est la réalité structurelle du modèle d'affaires traditionnel de l'e-commerce. Pourtant, il existe un actif que vous possédez, que vous ne monétisez pas, et qui affiche mécaniquement plus de 80 % de marge nette. Votre audience. C'est un fait. Votre audience est votre produit le plus rentable. Amazon l'a bien compris. Son activité Ads pèse aujourd'hui plus de 45 milliards de dollars de revenus annuels. Pas en vendant des produits. En vendant l'accès à son audience à des tiers annonceurs revendeurs ou non. Ce que les géants ont construit hier, vous devez le construire aujourd'hui pour vous. Avec getinside, on a développé la solution SaaS qui vous permet de démarrer simplement et de transformer votre audience en revenu additionnel récurrent. On en parle ?

Most brands think of paid social as a simple equation: spend money -> get clicks -> hope people buy. FTL Bags added something most paid teams overlook - engagement as a fuel source. They added a single CTA to their best-performing Meta ads: "Comment for a VIP discount." When someone did, Pinpoint automatically sent them $40 off via DM. That comment CTA did two things at once. It converted commenters directly inside DMs. And it sent a strong engagement signal to Meta, which rewarded the ads with cheaper delivery and broader reach. More eyeballs for less money, with an additional conversion path running on top. The results: 57% higher ROAS. 31% lower CPA. 17% cheaper CPC. Same creative. Same audience. One extra layer. Book a demo to see how it works for your brand: https://lnkd.in/g-hBrs96