Krossings for Clay · for GTM leaders

Clay's 2026 GTM Blueprint.

Built by experienced revenue operators in 48 hours from public sources. Now imagine it pointed at your data.

6
Pipeline-ready accounts
47
Buying signals mapped
0
Calls needed to source it
Krossings for Clay · for revenue leadership

Six accounts. Ready to engage.

Built by a forward-deployed revenue team that becomes a second pipeline source.

6
Accounts ready to engage
3
Tier-1 priority accounts
0
Calls needed to source it
30d
To a live second channel
Why now

Three forces resetting the buying window.

Each observable in public data.

Commercial

The coverage ceiling

Single-source databases cap enrichment at 40% coverage, and reps spend 30 to 40% of their time researching instead of selling. Every Tier-1 account on this list is scaling a sales org or staffing revenue operations leadership right now, the exact window where the data stack gets decided rather than inherited.

Market

AI-native GTM is the new default

Outbound response rates are declining industry-wide, and only signal-driven, deeply personalized outreach still breaks through. Teams running static lists and generic sequences are losing the channel quarter over quarter, while AI-native competitors compound their lead.

Technical

The pricing reset opened the window

Clay's March 2026 pricing restructure cut data costs 50 to 90%, making waterfall enrichment across 150+ providers affordable at scale. The economics that justified locking into a single data vendor just flipped, and the orgs that re-architect first take the coverage advantage.

Our forward-deployed revenue team finds your next accounts, builds the plays, and runs the channels to close them. Live in 30 days. No new hires.

Part 1 · The Surprise

Verified accounts. Ready to engage.

Every account cleared exclusion, ICP fit, realism, and verified pain signals. Each one ships with a four-touch sequence ready to send.

Drata
Tier 188/100
Compliance Automation / Security Software · ~732 employees · $100M ARR · 218 sales reps
Deep Dive Included ↓

Pain signals

HighVP Revenue Operations role posted (Mar 2026), reporting to the CFO — owns the GTM engine across Sales, CS, and Partnerships; incoming VP audits the stack
High218 quota-carrying reps with the VP RevOps seat unfilled — the GTM engine is running without strategic operations leadership
Med7,000 customers, 55% YoY growth, 25 to 30% international — data quality compounds with scale and geography
MedVanta, a direct competitor, is a documented Clay customer — competitive enrichment gap
Lauren Lynch Verified
VP of Sales, North America, Drata
Sanity.io
Tier 184/100
Content Platform / Headless CMS · ~294 employees · ~$30M+ est. ARR · Series C
Deep Dive Included ↓

Pain signals

HighOutbound SDR roles live in the US and Europe at the same time — multi-geography outbound scaling underway
High$85M Series C (May 2025) for the "Content Operating System for the AI era" — fresh budget deploying into outbound
MedVP RevOps (Earle Schweizer) plus a RevOps practitioner (Carson Adam) already in place — the infrastructure to evaluate and deploy enrichment exists
Earle Schweizer LinkedIn unverified
VP Revenue Operations, Sanity.io
Jellyfish
Tier 182/100
Engineering Management / Dev AI Platform · ~277 employees · $31.9M ARR · Series C

Pain signals

HighNew CRO Chris Ward (Dec 2025) — scaled Vercel from $6M to $300M ARR; classic first-90-days buying window
HighAggressive growth mandate — CRO track record (60x at Vercel, $100K to a $2B exit at Turbonomic) implies a 5 to 10x pipeline target
MedForbes Best Startup Employers 2026 + G2 Leader for 15 quarters — market validation that demands scaled outbound to capture demand
Chris Ward Verified
Chief Revenue Officer, Jellyfish
Retool
Tier 278/100
Low-Code / Internal Tools Platform · ~450 employees · $138.6M ARR · Series D

Pain signals

HighGlobal Head of Revenue Operations & Enablement role posted (Dec 2025) — a foundational, net-new RevOps build, not a replacement
HighPLG-to-enterprise transition after the AppGen and Agents launches — new AI monetization units require enterprise sales infrastructure
MedRevenue Operations Manager role open in London — multi-geography operations build-out
Jonathan Krangel Verified
Sales Strategy & Operations, Retool
Crossbeam
Tier 276/100
Partner Ecosystem / Ecosystem-Led Growth · ~191 employees · est. $20-40M ARR · Series C

Pain signals

HighMerged with Reveal (Jun 2024) — two sales orgs, two CRMs, two data stacks now at the 18-month consolidation mark
HighHiring SDR and Enterprise AE simultaneously — scaling upmarket on a fragmented post-merger stack
MedAgent Partner Network launched Q4 2025 — a new product motion requiring updated, enriched outbound
Erin Stanwood Bates Verified
Chief Revenue Officer, Crossbeam
Chili Piper
Tier 274/100
Demand Conversion / Sales Scheduling · ~258 employees · $43M ARR · Series B

Pain signals

HighGrew from 145 to 258 employees (78% headcount growth) — scaling pressure on GTM infrastructure
Med42 quota-carrying reps with a documented Clay integration — expansion play from a single workflow to full deployment
MedHiring a Senior Demand Gen lead and an Account Manager — active outbound and revenue expansion
Scott Haney Verified
Senior Director of Ops, Chili Piper

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The proof

Less pitch. More proof.

Every tab below is real work on Clay's market, traceable to public sources.

CompanyTierScorePQS MatchTop SignalPrimary Contact
DrataCompliance Automation Tier 1 88/100 PQS-2, PQS-3 VP RevOps role posted + 218 reps with no ops leader + 55% YoY growth Lauren LynchVP Sales, Drata
Sanity.ioHeadless CMS Tier 1 84/100 PQS-2 SDR hiring US + EU + $85M Series C + VP RevOps in place Earle SchweizerVP RevOps, Sanity.io
JellyfishEngineering Mgmt / Dev AI Tier 1 82/100 PQS-2, PQS-5 New CRO Chris Ward (Dec 2025) + hypergrowth mandate Chris WardCRO, Jellyfish
RetoolLow-Code / Internal Tools Tier 2 78/100 PQS-4, PQS-1 Global Head of RevOps posted + PLG-to-enterprise transition Jonathan KrangelSales Ops, Retool
CrossbeamPartner Ecosystem Tier 2 76/100 PQS-2, PQS-1 Reveal merger + SDR and Enterprise AE hiring Erin Stanwood BatesCRO, Crossbeam
Chili PiperDemand Conversion Tier 2 74/100 PQS-1, PQS-2 145 to 258 headcount + 42 reps + existing Clay integration Scott HaneySr Dir Ops, Chili Piper

The score is a layered read of what's observable, what domain knowledge unlocks, and what combinations reveal. 47 signal types mapped across the five pain-qualified segments.

18
Surface signals

What anyone can see

SDR/BDR and RevOps job postings, Series A to D funding rounds, new VP Sales and CRO appointments, multi-vendor technographics (ZoomInfo plus Clearbit plus Lusha), and headcount growth over 30% YoY. Easy to detect, widely searched, noisy on their own.

14
Deep signals

What domain knowledge unlocks

Subprocessor and privacy-policy vendor lists exposing tool sprawl, Glassdoor sentiment clusters ("too many tools," "manual data entry"), ATS hiring-velocity data, SEC enterprise-expansion language, and BuiltWith stack-gap detection.

15
Inference chains

What combinations reveal

Pain built by cross-referencing 2 to 3 points where no single source confirms it but the combination does. A single signal is a hypothesis; two aligned signals are a lead; three or more with context are a priority account.

Worked example · PQS-2 high-confidence rule Three or more SDR/BDR or RevOps roles posted in 90 days + funding or a new revenue-leadership hire inside the evaluation window + a competitor-tool stack with no Clay detected. Drata hits the combination (VP RevOps role posted reporting to the CFO, 218 reps scaling with no ops leader, and rival Vanta already a Clay customer), which is why it scores 88.

The content engine, on the call.

Bottom-of-funnel SEO/AEO topics mapped to each segment — the content that captures buyers researching the category through answer engines. We walk the live plan through on the call.

Book the walkthrough →

Five pain-qualified segments, defined by observable pain rather than firmographics. Open one to see its definition, target persona, trigger signals, and why-now.

Organizations running 5+ disconnected GTM tools (CRM, enrichment vendor, sequencer, intent provider, list builder, VAs) that do not integrate reliably. Data flows break between systems, enrichment coverage stays incomplete, and RevOps spends 50%+ of its time maintaining integrations instead of driving revenue.

Target persona

Head and VP of RevOps at B2B companies with 75 to 2,000 employees running 3+ data vendors and an outbound motion

Trigger signals
  • Job postings mentioning 3+ enrichment/data tools (ZoomInfo + Clearbit + Lusha + Apollo)
  • RevOps/Sales Ops hiring focused on "tool consolidation" or "integration management"
  • G2 reviews left for competitors mentioning "switching" or "consolidation"
Why now: Incumbent enrichment renewal plus a CFO-driven consolidation mandate creates the budget and the window. Clay replaces 4 to 7 tools and delivers 78% coverage versus 40% from any single source. The highest pain-severity segment of the five.

Companies that recently closed funding, hired SDRs, and are scaling outbound, but SDR productivity is capped by manual research. Reps spend 2 to 3 hours a day researching accounts instead of prospecting, lists come from static databases with no signal-based prioritization, and response rates decline because outreach is generic.

Target persona

VP Sales, CRO, and SDR Managers at funded B2B companies (Series A to D) with active, scaling SDR teams

Trigger signals
  • 3+ SDR/BDR job postings in the last 90 days
  • Series A/B/C funding closed in the last 12 months, or a new VP Sales/CRO hire
  • Using Apollo, Outreach, or Salesloft without Clay (technographic signal from job postings)
Why now: The VP Sales needs pipeline growth without proportional headcount, and the board is pressing on pipeline per dollar of GTM spend. The richest, most visible signal environment of the five segments.

CRM data has decayed to the point where it actively harms revenue operations. Lead routing breaks because titles and company data are stale, territory planning is inaccurate, forecasting is unreliable, and marketing targets the wrong segments because the underlying data is wrong.

Target persona

Head of RevOps and CRM Administrators at B2B companies on Salesforce or HubSpot with 50+ employees

Trigger signals
  • New RevOps or CRM Admin hire (first 90 days = stack audit)
  • Company growing over 30% YoY, where data decays faster
  • Job postings mentioning "CRM data quality," "data hygiene," or "Salesforce cleanup"
Why now: B2B data decays at 30 to 70% per year. A company with 100,000 records and no enrichment automation loses $1.5M to $3.5M in lead-acquisition value annually. The new RevOps hire's first mandate is "fix the CRM."

Product-led companies with a large user base that cannot convert free or self-serve users to enterprise contracts because they lack the enrichment and scoring infrastructure to identify high-value accounts, prioritize outreach, and route to sales.

Target persona

First VP Sales / CRO / "Enterprise Sales" leader and VP Growth at PLG companies (Series A+, 1,000+ users)

Trigger signals
  • PLG company with over 1,000 free users and under 10% paid conversion
  • Recently hired first VP Sales, CRO, or Enterprise Sales leader
  • Using product analytics (Amplitude, Mixpanel, Heap) with no enrichment layer connecting usage to firmographic data
Why now: Enrichment plus scoring on the existing free base can turn a $500K opportunity into a 15x revenue play. ElevenLabs used Clay to auto-qualify and route, generating pipeline from untouched segments with +50% SQLs.

AI/ML companies scaling from product-market fit to enterprise GTM for the first time. They have zero legacy CRM infrastructure and need to build the entire revenue data stack from scratch, and cannot afford to assemble 5+ point solutions.

Target persona

First SDR, RevOps, or Head of Growth hire at funded AI/ML companies (under 200 employees)

Trigger signals
  • AI/ML company with Series A/B funding in the last 18 months
  • First SDR, RevOps, or Head of Growth hire; rapid headcount growth over 50% in 12 months
  • Using generic CRM (basic HubSpot or spreadsheets) with no enrichment layer
Why now: AI companies without GTM infrastructure take 6 to 12 months to first enterprise pipeline; Clay compresses that to 2 to 4 (Mistral AI sourced 25,000+ qualified accounts in 2 weeks). The "GTM Engineering" category resonates with technical AI teams where Clay has its strongest proof points.

The buying committee mapped — each role with the pain that defines it and the hook that moves it.

Business Owner
Head of RevOps / VP RevOps
"I spend 40% of my time on CRM data quality and managing a Franken-stack of 5 to 15 tools that don't talk to each other. Integrations break weekly."
Hook: Lead with "replace 3 to 5 point solutions with one platform" and waterfall enrichment that stops depending on any single source. The most frequent evaluator, champion, and economic buyer for mid-market deals. Proof: Figma's orchestration layer, Sana's trusted CRM data.
Economic Buyer
VP Sales / CRO
"Reps spend 30 to 40% of their time on research instead of selling, response rates are declining, and the board wants efficient growth, pipeline per dollar of GTM spend."
Hook: Lead with pipeline impact and selling-time recovered, not features. Approves budget, cares about outcomes. Proof: Intercom +140% outbound pipeline, Rippling 2x cold email, Sendoso 10x outbound productivity.
Technical Evaluator
GTM Engineer / Growth Engineer
"I spend 60% of my time maintaining integrations between ZoomInfo, Outreach, and Salesforce, and drowning in 'can you pull me a list of...' requests."
Hook: Lead with "test a hypothesis in 10 minutes, scale it to thousands in an hour" and 100+ sources in one marketplace. Usually the person who discovers Clay and builds the proof-of-concept. Proof: Lovable, AlertMedia, depthfirst.
Co-Champion
Director of Demand Gen / VP Growth
"Inbound leads arrive with incomplete data, ABM lacks the enrichment for precise targeting, and ad match rates on LinkedIn and Meta are low because the data is poor."
Hook: Lead with auto-enriched, scored, routed inbound and synced ad audiences at 80%+ match rates. Owns marketing-side use cases and influences ops budget. Proof: Coverflex 200+ monthly demos, Legora signal-built campaigns.
Power User
SDR / BDR Team Lead
"My reps lose 2 to 3 hours a day to manual research, list quality is inconsistent, and generic outreach gets ignored. I can't hire enough researchers."
Hook: Lead with reps starting each day on pre-researched, prioritized accounts and personalization generated automatically. Day-to-day adoption here decides renewal. Proof: 2x+ outbound capacity per rep.

Where Clay wins and where rivals are exposed, benchmarked against the closest comparator set — sourced from the GTM blueprint's competitive analysis.

DimensionClayApolloZoomInfoOutreach / Salesloft
Category position Workflow-first GTM platform; category creator of "GTM Engineering" All-in-one outbound built on a single proprietary database B2B data depth and prospecting intelligence Sales engagement platforms with embedded CI
Data model & coverage Waterfall across 150+ providers; 78% coverage vs. 40% single-source One proprietary database; capped by single-source match rates One large database with deep native firmographics Minimal native enrichment; relies on connected sources
Workflow & automation Programmable table canvas, conditional logic, AI agents, native sequencing Basic lists and sequencing; lower flexibility Data warehouse with workflows bolted on Purpose-built for sequence and cadence execution
AI research agents Claygent plus Sculptor; natural-language research and workflow building Limited AI assist Copilot AI layered on its own data AI prioritization inside the engagement layer
Where they win Flexibility, multi-source coverage, and automation depth in one surface Simpler basic outbound, lower learning curve and price Native intent data and enterprise GTM analytics Sequence execution, dialer, and cadence management
Scale & proof 10,000+ customers, $100M+ ARR, 40K+ GTM community; OpenAI, Anthropic, Intercom, Figma Large SMB base anchored on a low price point Public company with enterprise-scale data network Salesloft merged into Clari (August 2025)

The sequences are drafted and waiting.

Every account ships with a four-touch sequence — A/B tested, with an opener tied to that account's observed signals. We walk you through the live ones on the call, so you see the channel that produces the pipeline before you commit.

Book the walkthrough →

Paid plays, ready to deploy.

Account-matched ad variants plus the Tier-1 to custom-audience loop that turns your best-fit accounts into a retargeting layer. Shown live on the call — the second half of the second pipeline source.

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The receipts

Two Tier-1s, in depth.

The top two accounts, worked end to end, why they're at the top, the evidence behind the score, and how we'd open them.

Drata
88 / 100 · Tier 1

Why they're at the top

A $2B compliance automation platform at $100M ARR and 7,000 customers (55% YoY), now staffing a VP of Revenue Operations that reports to the CFO and owns the GTM engine across Sales, CS, and Partnerships. 218 quota-carrying reps are scaling without an ops leader, and rival Vanta already runs Clay. New ops leadership plus a 218-rep org plus a competitor on the platform is the textbook enrichment-gap buying window: whoever fills that VP RevOps seat audits and rebuilds the data stack inside their first quarter.

How we'd open it

Lead with the coverage math for Lauren Lynch, VP of Sales, North America. At 218 reps, moving single-source enrichment from 40% to 78% waterfall coverage is the equivalent of adding roughly 95 reps of reachable pipeline without a hire. Frame Vanta's Clay usage as the competitive proof point, then hand the tool-consolidation thread to the incoming VP RevOps once the hire is announced. Email open; warm her LinkedIn for one to two weeks first.

Sanity.io
84 / 100 · Tier 1

Why they're at the top

A $173M-raised Content Operating System serving Skims, Puma, and AT&T, hiring outbound SDRs in the US and Europe at the same time off a fresh $85M Series C (May 2025). A VP of Revenue Operations (Earle Schweizer) and a hands-on RevOps practitioner (Carson Adam) are already in place, so the infrastructure to evaluate and deploy enrichment exists. Multi-geo SDR scaling plus fresh capital plus a sophisticated ops bench is a short-cycle outbound-efficiency play.

How we'd open it

Lead with the multi-geo ramp problem for Earle Schweizer. SDRs in two-continent launches lose 2 to 3 hours a day to research before the first call; pre-enriched, signal-prioritized accounts at 8am in each timezone is the lever, not more headcount. Cite Intercom's +140% outbound pipeline as the peer proof. LinkedIn open with Earle as business owner and Carson as technical evaluator. Note: Earle's LinkedIn URL needs SDR re-verification before outreach.

The upside

Public data got us here. Yours compounds it.

What we used (public)

All linked in the Verification Log
  • LinkedIn job postings (RevOps, GTM Engineer, SDR/BDR, VP Sales/CRO roles)
  • LinkedIn profiles and recent post activity
  • Crunchbase, Tracxn, and PitchBook funding and firmographic data
  • GetLatka and Sacra ARR and revenue estimates
  • ZoomInfo and RocketReach company and contact snapshots
  • Company careers pages and Built In job boards
  • G2, TrustRadius, and Capterra review libraries
  • BuiltWith and Glassdoor for visible stacks and sentiment
  • Press and trade coverage (CMSWire, TechCrunch, company newsrooms)
  • Clay's own customer and case-study pages (for the exclusion check)

What your systems unlock (private)

8 systems Clay's revenue org already runs
  • Clay itself — your own workflow canvas, enrichment waterfall, and signal runs
  • Salesforce or HubSpot CRM — deal stages, pipeline value, contact engagement
  • Product usage telemetry — workspace activity, seat expansion, table runs
  • Outreach or Salesloft — sequence performance and reply data
  • Marketing automation (HubSpot or Marketo) — campaign and email engagement
  • Community and Slack data — 40K+ GTM Engineering members, Clay Clubs, Clay University
  • Intent feeds (G2, Bombora) at the account level
  • Billing and credit-consumption telemetry — expansion-path and churn triggers
The first 90 days

From signature to a live channel.

No lengthy discovery. The audit gates everything downstream, infrastructure builds in parallel, and by day 90 you're reviewing pipeline against the number you set at kickoff.

Days 1–5

Onboarding

Contract signed. Customised onboarding doc within one business day covering goals, ICP hypotheses, and access. You have five days.

Days 1–21

The audit

ICP and segment analysis, competitive intel, voice-of-customer mining, AEO positioning, and a custom signal catalogue. Full readout + 90-day revenue roadmap at week three.

Days 1–42

Infrastructure

In parallel: CRM hygiene, LinkedIn activation, domain warm-up, signal-to-rep routing, system integrations. Engine live by day 42.

Days 21–90

Execution

Workstreams go live as the audit dictates: signal layer, content, outbound sequences, paid, orchestration. Weekly working sessions keep it moving.

Day 90

Executive review

Pipeline generated and closed-won attribution reviewed against the success criteria agreed at kickoff. Channel ROI ranked. Next quarter set.

Part 4 · The Ask Part 6 · Next Steps

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