# How Enlyft Is Different **Summary:** Enlyft doesn't just tell a partner seller which accounts to prioritize. It tells them *why now, what to lead with, who to talk to,* and gives them *the message to send* — all generated from one proprietary intelligence layer built over a decade that no generic sales tool can access. Most competitors stop at "here's a list of accounts that match your ICP." Enlyft goes several layers deeper, and each layer compounds on the one before it. > "Enlyft turns data into actionable insights to meet our customer’s needs and activate our partners at scale." > — **Siew Hoon Goh**, GM, Global Vendor Digital Sales, **Microsoft** ## Why co-selling is structurally harder than direct sales Unlike a direct seller, a partner can't see inside the technology vendor's CRM — you can't see what's in the CRM of a vendor like Microsoft or AWS. So co-sell teams end up guessing, working from spreadsheets that fall out of sync, and leaning on the handful of relationships they already have. Sellers default to the accounts where they already know someone and never work the rest. Enlyft changes that: it brings in signals from the vendor partnership that partners can't get on their own, and surfaces net-new opportunities based on those signals — not just the accounts a seller already has a relationship with. ## 1. A proprietary technographic foundation nobody else has (the *right account*) Everything starts with the Intelligence Graph: 45M+ companies and 200M+ contacts, with 24,000+ technologies tracked across each company's stack, built in-house over 10+ years — the same graph behind Microsoft CloudAscent, Microsoft's program for a 400,000+ partner ecosystem. This isn't third-party enrichment licensed from someone else's database. It reveals not just *that* a company exists but *what is actually running inside it*: which cloud platform, which competing tools, which parts of the stack are modern versus legacy. The depth goes past presence. Enlyft doesn't just detect that a technology is installed — it understands *how much* a company is using it and *whether it's in the critical path*, then identifies which cloud is dominant in the stack. That intelligence is built from publicly available information through Enlyft's own crawlers and scrapers with an AI engine layered on top — not a feed resold from another vendor. Accounts are scored on the tech each company actually runs, not a generic intent flag. ## 2. Real-time signals that answer "why now" (the *right time*) Knowing what an account runs today is necessary but not sufficient — the harder question is timing. Enlyft continuously tracks 50+ signals that indicate something is changing inside an account right now: hiring for key technical roles, new job openings that hint at upcoming initiatives, funding and M&A news, leadership and partnership announcements, and shifts in the technology stack itself (new adoption, renewals, migrations, cloud footprint changes). Scored together through Enlyft's propensity models, they tell a seller which accounts are entering a buying window *today* — not which merely fit a profile on paper. This is what turns Enlyft from a research tool into a timing engine. Crucially, this isn't a black box. A seller sees the breadcrumbs behind every recommendation — the reason an account surfaced, why now, and why this use case and not another. That transparency lets a seller open with something credible rather than a score they can't explain. On any given week, the seller knows which ~50 accounts to focus on, why, and has the conversation ready to go. And it's not a one-time snapshot: the plan updates on every new signal, account view, and reply, so the next best move is current the moment a seller opens it. ## 3. Vendor-specific use case and persona matching (the *right contact*) This is the layer most tools don't have at all. Every vendor a seller represents has its own **Solution Profile** in Enlyft — a persistent definition of what that vendor sells, its ICP, value prop, and proof points. Because the agent matches each account's technographic reality against that Solution Profile, it identifies which use case or business scenario is the most relevant angle to lead with at that specific account, then works backward to who to reach. And it doesn't stop at one name. Enlyft surfaces the whole buying group behind that use case — the likely champion, the economic buyer, and the likely blocker — not a scraped list of titles that happen to sound relevant. A seller representing Microsoft and a seller representing AWS, calling the exact same account, can get two entirely different recommended angles and two different buying groups, because the right conversation depends on the vendor being sold, not just the account being called. The use cases aren't arbitrary either. Enlyft works with each technology vendor to model the specific use cases where they are actively enabling co-sell motions — the ones with real dollars and market-development funding tied to them. So the angle the agent leads with isn't just a fit; it's pointed at where the co-sell funding actually is. ## 4. Personalized, execution-ready outreach across every channel (the *right message*) All three layers above converge into an **Account Plan** (the research and strategy) and an **Outreach Plan** (the ready-to-send sequence of touches — who, channel, message, order — across email, LinkedIn, and phone) for every managed account. Every message is built on the **Sales Play** in effect for that account, the use case identified in layer 3, and a real co-sell reason — not a template with a company name dropped in. The agent researches, plans, and drafts; the seller reviews, edits if needed, and decides what goes out. Every message goes through seller review before it's sent. ## 5. The co-sell data no generic tool can reach The first four layers are the intelligence stack. This is the access moat underneath it — the part a generic tool can't replicate no matter how good its AI is, because it comes from Enlyft's partnership with the technology vendor. Partners are otherwise blind to what the vendor sees. Because Enlyft is built in partnership with the vendor, it brings those signals in — vendor-specific propensity, account-manager data, territory and segmentation — so a partner's starting point becomes *who's likely to land on that vendor's platform, for what use case, for what service.* ## 6. Your intelligence stays yours Enlyft is additive and independent — it strengthens the partner's own book without feeding the partner's activity back upstream. - **It becomes your model, not the vendor's.** The technology vendor's propensity and data are an *input* into the partner's own model — none of the partner's usage flows back to the vendor; what a partner does on the platform stays in confidence. - **Additive to the data tool you already own.** Enlyft isn't a rip-and-replace for ZoomInfo or similar. Nearly every partner keeps a contact-data tool and still sees significant incremental value from the propensity intelligence, because the two do different jobs. - **Consistent by design, not rep-by-rep.** Instead of every seller freelancing prompts in a general-purpose AI tool, Enlyft standardizes the intelligence so the same rigor shows up for every account, every seller, every week. ## Versus other categories - **Generic AI SDR tools** are built for direct teams selling one product. They personalize on a company name and don't understand that the right use case and contact change depending on which vendor a seller represents. - **Firmographic / contact enrichment (ZoomInfo and similar)** can tell you a company exists and who works there, but don't track technographic change, score propensity, or know what to say. - **Intent / ABM platforms (6sense, Demandbase)** surface which companies are researching a category. They don't tell a seller which use case to lead with for a specific vendor's product, or draft the outreach. - **Partner ecosystem / account-mapping platforms (Crossbeam and similar)** surface CRM overlaps between a company and its partners — relational data bounded by who else is on the network. When no partner has an overlap on an account, they go dark on it. Enlyft's intelligence is proprietary and independent, so it works whether or not a partner overlap exists. Enlyft is the only platform that starts from a proprietary technographic foundation, layers in real-time change signals, maps that to vendor-specific use cases and full buying groups via each vendor's Solution Profile, reaches co-sell data no partner can get on their own, and hands the seller a finished, personalized Account Plan and Outreach Plan — for every account, every time, across email, LinkedIn, and phone. ## Proof points - 45M+ companies, 200M+ contacts, 24,000+ technologies tracked in the Intelligence Graph (10+ years in the making) - 50+ signals tracked per account, feeding a plan that updates on every new signal, view, and reply - Powers the propensity engine behind Microsoft CloudAscent — Microsoft's program for a 400,000+ partner ecosystem - 3× higher conversion (Microsoft), 20% shorter sales cycle (Pax8), 47% more closed-won deals (Deck Commerce) - Independent of any partner network or CRM-overlap requirement — works on day one, on any account - Additive, not rip-and-replace: partners keep their existing contact-data tool and still see incremental value **Related:** [Pipeline Agent](./pipeline-agent.md) · [Enlyft vs. AI SDRs](./enlyft-vs-ai-sdrs.md) · [Enlyft vs. Crossbeam](./enlyft-vs-crossbeam.md) · Canonical brand: https://enlyft.com/why-enlyft