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Enlyft works inside Claude and Microsoft Dynamics 365 Sales via MCP.

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Enlyft vs. the DIY sales stack

One system built for partner selling, from ranked accounts to drafted outreach.

Five tools, four hand-offs, and still no play. Enlyft replaces the stitching with one system.

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Example only. Northwind Manufacturing is a fictional account.

45M+Companies profiled
24,000+Technologies tracked
50+Live signals per account
400,000+Partners on CloudAscent

The propensity engine behind Microsoft CloudAscent, and leading partner programs at AWS and Dell.

The daily reality

What does a partner seller’s day actually look like?

Partner sellers describe it the same way, over and over: flying blind, stitching together LinkedIn, ZoomInfo, and a spreadsheet before they can write one good email, working data that’s “archaic or not actionable” the day they buy it. It’s the most common pain we hear, and it isn’t a people problem. It’s a systems problem. The stack is the system.

The stack

What is the DIY sales stack?

01Contact database
ZoomInfoApollo
Tells you a company exists, not whether it’s in market or what it runs
02Intent tool
6senseDemandbaseBombora
Late and commodity. Every competitor sees the same flag; no vendor-specific angle
03Enrichment
Clay
You own and maintain the plumbing; only as good as the sources feeding it
04Sequencer
InstantlySmartleadOutreach
Optimizes activity, not relevance. Spray and pray lives here
05AI assistantWeak link
ChatGPTClaudeClay
The weak link: quality depends entirely on each rep’s prompt

Each tool is fine at its job. The problem is what happens between them: the stitching, the stale hand-offs, and the gap between a raw list and a ready conversation.

What one system adds

What does one system add that a stack can’t?

Proprietary, fresh data

Not resold third-party feeds. Enlyft’s graph is built and refreshed in-house over 10+ years. It’s the engine behind CloudAscent, and it isn’t “stale the day you buy it.”

Vendor-specific, and built for the partner motion

Each vendor has a Solution Profile; Enlyft picks the use case to lead with and brings in vendor-side signals a partner can’t get on their own.

One consistent system

Enlyft does the prompting, so use case, contacts, and message quality are the same for every rep, every account, rather than an experiment per seller.

Side by side

How does Enlyft compare with the DIY stack?

Compared onWithout EnlyftDIY stackContact database + intent tool + enrichment + sequencer + AI assistantWith EnlyftEnlyftOne system for partner selling
Data
Data source
Third-party feeds anyone can license
Proprietary graph, built + refreshed in-house
Freshness
Often “archaic or not actionable” by the time you use it
Continuously refreshed, not stale the day you buy it
Timing & signals
Timing signal
Late, commodity intent; everyone sees the same flag
50+ early signals (hiring, funding, stack change), scored for propensity
The “why now”
Not answered
The reason each account surfaced, in the Account Plan
Vendor & co-sell
Vendor awareness
None
Vendor-specific Solution Profile per vendor
Co-sell / vendor-side data
Invisible to partners
Brought in via the vendor partnership (propensity, account owner, territory)
Contacts & outreach
Contact targeting
Scrape by title
Persona/use-case recommendations + change signals
Outreach
Varies by each rep’s prompt
Drafted consistently; the seller reviews and sends
Operations
Consistency
Rep by rep, day by day
Same quality, every seller, every account
Maintenance
5 tools, 5 integrations to maintain
One system
Agent access (MCP)
Not agent-accessible; each tool is its own silo
Works inside Claude and Microsoft Dynamics 365 via MCP

The weak link

Why is the AI step the weak link?

The seam that fails hardest is the AI step. AI output is only as consistent as the prompting behind it, and prompting varies wildly. One rep writes a careful, context-rich prompt; the next types a one-liner. So use-case selection, contact choice, and message quality become an experiment per rep, and the buyer’s experience depends on who happened to hit send.

The DIY stack

A different result per rep.

Quality rides on whoever wrote the prompt that day.

Enlyft

Does the prompting for the seller.

The same way every time: same use case, contacts, and message quality for every seller, on every account.

The honest part

When the DIY stack is actually fine

If you sell one product directly (not on behalf of vendors), a tuned direct-sales stack can work well, and the vendor-specific work Enlyft adds is wasted on you. Enlyft is usually additive: most partners keep their contact-data tool and still get incremental value, because propensity intelligence and a contact database do different jobs.

Two honest boundaries: Enlyft leads with persona- and use-case-based contact recommendations plus change signals, not a full org-chart or relationship map; and where a partner already has a strong internal specialist for vendor introductions, Enlyft’s value is starting earlier and without the intermediary, while that relationship stays as it is.

There is one specific place the DIY stack fails, and that is co-sell, at team scale, where consistency and vendor-side signal are the whole game.

FAQ

Frequently asked questions

Do I have to drop ZoomInfo to use Enlyft?

No. Enlyft can stand in for a contact-data tool, but most partners keep theirs and still see value, because propensity/technographic intelligence and contact data do different jobs. Enlyft is additive.

Can’t I just add ChatGPT or Clay to my stack to get the AI part?

You can, but that’s the weak link. An AI assistant reasons over the public web and produces output only as consistent as each rep’s prompt. Enlyft runs on proprietary technographic and vendor-side data a public model can’t see, and it does the prompting for every rep the same way.

What makes Enlyft “for co-sell” specifically?

It models each vendor’s funded use cases, matches accounts against them, and brings in vendor-side signals a partner can’t get on their own, none of which a generic direct-sales stack is built to do.

Is Enlyft an alternative to an intent platform like 6sense?

Yes, for the job of knowing which accounts to work and why. Enlyft uses earlier, verifiable signals instead of late, commodity intent. Where 6sense infers category interest, Enlyft scores real propensity on the tech an account runs plus live change signals.

Independent research

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Bring your book and we’ll run it live, showing the accounts ready to buy, why now, and the outreach drafted.

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