Dear Sales Leader,

Some companies merged (Interpublic/Omnicom, Kimberly-Clark/Kenvue). Some companies acquired (Footlocker, Hess). Some companies have been taken private (Endeavor, Nordstrom). Some companies have new CEOs (Walmart, Berkshire Hathaway). Some companies have rebranded (FM). There's also a long list of private companies on the Fortune 500. See the list...

NextEra (Fortune #173) just dropped a $67B shockwave on the utility world by snapping up Dominion Energy (Fortune #264). Two massive, messy tech stacks. One insane AI + data center land grab. The real story? Hidden sales plays no one’s talking about yet. Want the playbook the account teams will use?

See what a real AI-powered account plan looks like when you’re serious about winning a greenfield Fortune 500 logo like Walmart.

A legacy application. A new CIO. A new CHRO. And a seven-figure deal your competitor never even saw coming. That’s what real AI‑powered sales intelligence looks like in the wild. It's not a cute email rewrite, not a slightly better sequence, but a tangible, forecastable opportunity that would have stayed invisible without the right signals being connected.

Most teams don’t need more AI tools—they need to go deeper on the ones they already pay for. I break down my 8‑tool stack, what actually earns its keep, and the one I’d keep.

Most teams brag “we’re using AI” when they really mean “we’re writing emails faster.” Meanwhile, a few are using AI to uncover net‑new, seven‑figure opportunities in greenfield accounts. I broke down the exact motions in a new article.

Most “𝗔𝗜 𝗳𝗼𝗿 𝘀𝗮𝗹𝗲𝘀” stories end with faster email writing and prettier decks. The real upside? Using AI as a sales intelligence analyst that uncovers hidden exec ties and net‑new opportunities in your greenfield accounts. 💡 𝗛𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝗜 𝗱𝗼 𝗶𝘁.

If you’re an enterprise AE carrying a seven‑figure number into greenfield or whitespace Fortune 1000 accounts, you don’t have time for AI “parlor tricks." You need AI to do three things, fast. Learn about it.

You can fix your top 10 account plans in one afternoon if you stop asking AI the wrong questions. Feed as much information to AI to get the best results and fine tune your prompts. Ask for sales plays not information.

Your AI is confidently making stuff up about your accounts. You’re not crazy. Last month I watched an Enterprise AE build a “killer” account plan for a greenfield Fortune 500 logo in the automotive sector and reach out to an exec about winning a race that hadn't taken place yet.

Discover how enterprise tech sellers can turn the $44.8 billion Unilever–McCormick Foods merger into real sales opportunity. This guide shows how the new “global flavour powerhouse” reshapes technology priorities, budgets, and org charts—and how savvy sellers can align solutions to emerging integration, data, and supply chain challenges.

When a legacy U.S. beauty house and a fast-rising Spanish fragrance powerhouse start talking merger, every enterprise technology seller with exposure to retail, CPG, beauty, or global commerce should sit up and pay attention. The emerging Estée Lauder–Puig deal checks every box for a high‑impact transformation: scale, geography, channel mix, portfolio overlap, and deep family ownership dynamics.

This CoStart blog post gives Strategic AEs a practical, six-week ABS playbook for CoStar, a $3.25B real estate data and marketplace leader. It covers stakeholder mapping, research angles, multi-threaded outreach, and ready-to-use messaging that helps book more first meetings and build internal champions in complex Fortune 1000 accounts.

Explore how Capital One’s recent AI, data, and M&A moves are reshaping its technology roadmap—and why that’s great news for savvy SaaS sellers. This post exposes where fresh budget and urgency are emerging, who to target, and exactly how to talk to them like an insider.

Gilead Sciences’ agreement to acquire Arcellx is a high‑stakes bet on next‑generation cell therapy that deepens its oncology franchise, reshapes competition in multiple myeloma, and opens new pathways for technology and SaaS selling into a more complex, integrated global enterprise.

We profile Marsh's structure, priorities, and sourcing motion, and provide concrete sales guidance. We identify key IT and procurement decision makers, including the global CIO/COO and CPO, and explain how Global Sourcing, MarshTech, and third‑party risk functions shape technology evaluations. We outline Marsh’s supplier activation, P2P, and cyber‑risk processes, and highlight recent AI, data, and digital initiatives (Databricks core, LenAI, Mercer AI platforms, BCS, P2P optimization) as signals of where pilots and “RFP‑like” evaluations are happening.