Directory/Levver
Levver

Levver

Studio
Salt Lake City, Utah
Expertise
  • Account-Based Marketing
  • Signals & Intent
  • GTM Copilot
  • AI Outbound
  • Inbound Lead Enrichment
ICPs
  • Early stage startups (seed-Series A)
  • Growth stage startups (Series B-C)
  • Mid-Market / Enterprise
  • Post-IPO
Industry
  • Growth or RevOps agencies
  • SaaS
  • B2B
  • Fintech
  • VC
Language
  • English
  • Spanish
Pricing
  • any budget
Minimum Engagement
  • 3 months
Support
Levver

A revenue system needs two things: observability, so you can see what it is actually doing, and controllability, so you can change it on purpose. Most companies have dashboards instead of the first and activity instead of the second. We build both.

Every dashboard you own rests on a theory of how your business makes money. Most companies never make that theory explicit, so the metrics multiply and nobody can say which lever is stuck.

We build revenue systems on two halves that only work together.

Observability is the ability to see what your revenue system is actually doing. Not more dashboards. A model first, then measurement against it. Revenue moves three ways, volume, conversion and value, and each has to be observed across three horizons: is the machine running right now, where is it heading, and did it produce the outcome. Executives, team leads and reps get three views of one truth instead of three arguments about whose number is right.

Controllability is the ability to change the system on purpose. Every intervention assumes a theory of the lever it is pulling and the work required to move it. Calibrate what exists, construct what does not, cull what should not. Once those theories are explicit they become testable, and the system starts learning. Until then it is a system of activity hoping to become a system of results.

We publish both frameworks rather than gate them, because the thinking is not the moat. The execution is.

What we build

- CRM architecture, pipeline and lifecycle design, and reporting an executive team actually trusts

- Data and enrichment infrastructure: waterfalls, signal detection, hygiene, real-time routing

- Outbound and inbound motions designed against the constraint, not against a template

- Forecasting discipline and the coaching that makes any of it stick

What that has looked like

- A fintech client went from 150+ weekly demo requests nobody could source to three purpose-built pipelines, nine-bucket attribution, and 32 meetings in month one of a new outbound motion

- A wellness platform went from $3.7K to $52.2K in monthly recurring revenue, sales cycle cut from 66 days to 10

- A tax platform lifted win rate from 10% to 25.2% and cut time to close from six days to under one

We operate three of the largest HubSpot accounts in the world and have built revenue systems for 60+ companies from seed stage through $2B.

Where Clay fits

Clay is one of the tools we install once the diagnosis warrants it. When a client does not need it, we say so. When they do, we build inside their own workspace on their own license, so they own the instance, the data, and everything in it.

You will work directly with the partners who scoped your engagement. Nobody gets handed off.

"When we built something in September, it felt like the most novel amazing thing ever. Now we just rely on it, we don't even think about it anymore."

Zena Dave
Director of Marketing at Bridge.xyz

Use Cases

Work with the data contract a client already has

Clients arrive mid-contract on ZoomInfo or Apollo and are not free to switch. We design the waterfall around that: the incumbent runs first via API so the client is not paying twice for the same record, with Clay filling what it cannot reach, verification on every write, and re-enrichment on bounce. One HR tech client kept legacy pricing and API'd it into Clay deliberately. A restaurant CDP had already retired ZoomInfo and went to Clay as the replacement. Both patterns work, and putting the sources side by side on the same records makes the coverage difference visible rather than argued.

Enrich a database nobody trusts anymore

A market research client sent us their closed-won and closed-lost history to see what was recoverable. We ran it through Clay and returned 1,215 LinkedIn company URLs at 89.5% coverage, plus 101 new company domains for records that had no URL at all. That single pass became the internal business case for the platform. This is usually the fastest way to prove Clay's value to a skeptical finance team, because it works on data they already own.

Enrich and route inbound in real time

Form submission fires a webhook into Clay, the record is enriched and scored against ICP, ownership is assigned, and the rep gets a Slack notification with research already attached. One client was processing 150+ weekly demo requests manually with no way to tell a Fortune 500 from a three-person startup. A single qualifying question plus this pipeline produced near-perfect segmentation.

Monitor job changes on champions and buying committees

Your best buyer leaves and takes their next employer with them, or your champion at a live opportunity quietly departs. We scope and build continuous job-change detection across customer and pipeline contacts, routed to the owning rep with context. On a recent build we modeled roughly a 70 to 75% hit rate against the client's champion list.

Create data that does not exist in any database

The attributes that actually predict a deal are rarely purchasable. We use Clay's AI research layer to generate them: suite-level addresses buried in contact pages, menu and product changes, hiring signals cross-referenced against seat utilization, technographic detail no provider sells. This is where clients stop seeing Clay as a data vendor.

Clean and hold a CRM that has drifted

Deduplication, account matching, backfill of missing fields, scheduled refresh against stale records, and verification on every write. We build the hygiene layer as a standing workflow rather than a one-time cleanup, because the drift restarts the day the project ends. It is unglamorous work and it is the reason every downstream number becomes trustworthy.

Media

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