Sameer Athalye

Enterprise software sales isn’t about speed. It’s about alignment. When frontline users, IT, finance, and the C‑suite are aligned, deals move, commits are made. When they aren’t, no amount of pressure fixes it.

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A $2B enterprise software provider just modernized its GTM stack—and the results speak volumes. With Gong (conversation intelligence), Outreach (sales engagement), Demandbase (ABM), Salesforce (CRM), and Adobe Marketo (marketing automation), they built an integrated, insight-driven revenue engine. Cross-functional alignment Streamlined MarTech Scalable seller adoption The full transformation? It’s a masterclass in strategic stack selection. Read the full #AnatomyOfADecision by Kyle James: https://hubs.la/Q03Bj__c0 #SalesTech #MarTech #B2BMarketing #RevOps #SalesEnablement #GTMTransformation

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Today, we introduce hotlines.ai - AI agent pages to automate presales. For years, buyers have filled dead-end inquiry forms and waited days for callbacks and emails. In that time, they’ve lost context, interest, or gone ahead with other solutions. Businesses have lost out. Manual presales is slow and operationally challenging. So we fixed it. hotlines.ai replaces inquiry forms with agent pages. In 10 mins, you can setup agents to:  👤 Collect leads: Share product teasers and collect contact information. 💡 Qualify leads: Understand buyer needs and answer product questions. 🗓 Book meetings: Setup sales meetings using a simple calendar. ✅ Create tasks: Escalates with a call/email when AI needs input. 🚀 Launch everywhere: Deploy as ad landing pages, website forms, chatbots, and to phone lines. We’re seeing customers reduce cost per lead by 20% and book 1 in 5 demos automatically. Request access and try a demo below. 👇 https://hotlines.ai/start

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Presales Leader: “We want to show our impact.” Homerun: “How are you sharing your presales data across the org?” Presales Leader: “We have 3 SE fields in SFDC.” Homerun: “We need to chat…” Your SE/SC/SA team learns incredibly value information as they work their deals. That means you should be sitting on TONS of 'presales data' that no one else in your company has… but everyone wants. Examples? ----- 💰 SALES: What are the technical blockers putting deals at risk so we can strategize before we lose them? 🛠️ PRODUCT: What are the product gaps that are losing us deals so we get you work-arounds before we lose them... and so we can prioritize our roadmap to be more competitive? 🤝 POST-SALES / CUSTOMER SUCCESS: We want a pre-sales to post-sales transition that doesn't kill all the goodwill that you built up getting them to close... so tell us EVERYTHING you did, showed, talked about, tested, proved, are concerned about, and committed to during the entirety of the technical sales cycle! We want it ALL! 👋 PRODUCT MARKETING: What defines good vs. bad ‘technical fits’ to guide our ICP definitions, collateral creation, and lead gen efforts? 📈 C-SUITE: How can we close more deals, faster as a company to hit our revenue targets and growth goals? ----- You have the Presales Data to help all these teams be more successful… so… 💬 Share it 💪 Make an impact 💸 Show your value 🪑 Earn your seat at the table ----- Not sure how to capture all this presales data? Or even what data to capture? Worried about adding ‘admin burden’ to your SE/SC/SA team? Request a demo of Homerun Presales and let us show you the way: https://lnkd.in/g_85xBB2 There’s a reason Homerun is the #1 presales platform... that customers call Homerun "world-class presales in-a-box" with all the ‘presales AI’ you need... that we have an 8-year track record of success working with your fellow presales peers from publicly-traded companies to startups. Let’s chat. 😎

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Growth-stage companies have traditionally relied on heavy, seller-led motions: reps driving every step, manual process everywhere, and humans carrying the full load. But buyers have changed, costs to serve have risen, and AI has opened an entirely new set of possibilities. The real question leaders face now: how do you lighten the human load in GTM without breaking growth, customer experience, or culture? We dug into what low- and no-touch GTM models actually look like in practice with Davis Giedt (Principal & Research Practice Leader @ Alexander Group), Craig Mestel (CFO @ Webflow), and Ghazi Masood (CRO @ Replit). A few key takeaways: ✅ Start with AI that boosts rep effectiveness before full autonomy ✅ Watch for signals customers want lower-touch buying ✅ Begin with simple motions: renewals, lead triage, research ✅ Invest early in the foundations: product, billing, data ✅ Put RevOps at the center with real ownership AI isn’t about replacing people. It’s about stripping away the grunt work so humans can focus on the moments that matter most. If you’re thinking about redesigning your GTM engine for an AI-native world, start with this practical guide → https://lnkd.in/eNujxbbs

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The future of go-to-market isn’t about running more campaigns or hiring more reps. It’s about orchestrating every signal, system, and team around the buyer journey. The GTM Orchestration Maturity Model gives leaders a clear lens on how to evolve, moving from siloed motions to a connected, intelligence-driven revenue engine. For GTM executives, this is both a framework and a way to align your org around customer value. Explore the model here 👉 https://bit.ly/3JCKrO6 #LeanData #GTMOrchestration #GTMMaturityModel #EnterpriseB2B #Leadership

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AI sales agents aren't just chatbots—they're your 24/7 team closing deals while you sleep. They offer constant engagement, smooth platform connections, scaling without hiring, and AI-to-AI commerce. More sales, less follow-up, more growth focus.

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Fragmented GTM data slows everything down. Inconsistent metrics. Messy handoffs. Missed forecasts. High-performing RevOps teams fix this with a Unified GTM Data Layer that functions as a single source of truth across CRM, MAP, and product data. The payoff? Faster decisions, cleaner forecasts, and aligned execution. We break it down in our latest blog: https://lnkd.in/g5X-nRCk

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