Built by experienced revenue operators in 48 hours from public sources. Now imagine it pointed at your data.
Built by a forward-deployed revenue team that becomes a second pipeline source.
Each observable in public data.
A new revenue leader makes foundational stack decisions in the first 90 days, and the window to pick "their" stack runs out fast. Every Tier-1 account on this list installed a new CRO or ran a major restructuring in the last 12 months, putting each one inside the window where "evaluate later" becomes "decide this quarter."
Finance is mandating vendor rationalization, and the 2026 budget cycle is the window to fold 5 to 10 fragmented GTM tools into one. Mergers accelerate it: Conga absorbed PROS, Fivetran closed three deals in six months, and each one collides duplicate stacks that have to converge now.
AI-first competitors are compressing sales cycles 20 to 30% through automated research and real-time signal response, and report 40 to 100% higher win rates. A revenue org still running rules-based sequences and manual research on stale data is bringing a spreadsheet to a signal fight.
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.
Every account cleared exclusion, ICP fit, realism, and verified pain signals. Each one ships with a four-touch sequence ready to send.
We’ll walk through every account, every signal, and what continuous intelligence looks like for your pipeline.
Every tab below is real work on ZoomInfo's market, traceable to public sources.
| Company | Tier | Score | PQS Match | Top Signal | Primary Contact |
|---|---|---|---|---|---|
| ContentfulCMS / B2B SaaS | Tier 1 | 88/100 | PQS-1, PQS-4 | New CRO (Feb 2025) + enterprise expansion mandate + RevOps build-out | Jake HofwegenVP RevOps, Contentful |
| FreshworksCRM & ITSM | Tier 1 | 85/100 | PQS-1, PQS-2 | 500 layoffs + new CRO unifying sales, CS, and CX (Mar 2026) | Ian TickleCRO, Freshworks |
| CongaRevenue Lifecycle Mgmt | Tier 1 | 83/100 | PQS-1, PQS-4 | PROS acquisition + new CRO & CFO (Nov 2025) | Jeff FordSVP RevOps, Conga |
| FivetranData Infrastructure | Tier 1 | 80/100 | PQS-1, PQS-3 | Three M&A deals in 6 months + BDR expansion | Scott JonesCRO, Fivetran |
| BrazeCustomer Engagement | Tier 2 | 79/100 | PQS-1, PQS-3 | New CRO (Jul 2025) + enterprise upmarket push | Ed McDonnellCRO, Braze |
| NavanTravel & Expense | Tier 2 | 76/100 | PQS-3, PQS-1 | Data-quality RevOps hire + post-IPO scaling at 31% YoY | Grant McGrailCRO, Navan |
The score is a layered read of what's observable, what domain knowledge unlocks, and what combinations reveal. 47 signal types mapped across the four segments.
New CRO and VP RevOps appointments, layoffs and restructurings, M&A announcements, job postings for "stack consolidation" and "data quality," funding rounds, and public LinkedIn posts. Easy to detect, widely searched, noisy alone.
SEC 10-K risk-factor language on integration complexity, BuiltWith enrichment-vendor detection, Glassdoor theme drift toward "too many systems," procurement records for vendor rationalization, and cost-per-meeting benchmarks against the industry standard.
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.
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 →Four pain-qualified segments, defined by observable pain rather than firmographics. Open one to see its definition, target persona, trigger signals, and why-now.
Revenue teams running 5 to 10+ disconnected GTM tools (enrichment, intent, routing, engagement, analytics) that create data fragmentation, manual reconciliation overhead, and an inability to prove ROI on any single vendor.
VP / Head of RevOps at upper-mid-market and enterprise B2B orgs, $50M to $5B revenue, with 20+ person revenue teams and fragmented stacks
CRM data decaying faster than it's refreshed, with contacts going stale in 12 to 18 months, leading to bounced emails, wrong-number calls, bad routing, and broken forecasts.
Marketing Ops and RevOps leaders at orgs with 50,000+ CRM contacts and no continuous enrichment system, or teams running outbound on lists built 12+ months ago
SDR teams running volume-based spray-and-pray outbound with no intent signals or trigger-based prioritization, burning through lists with declining reply rates and no way to identify which accounts are actually in-market.
VP Sales and SDR Managers at B2B companies with 5+ SDRs running Outreach or Salesloft on static firmographic lists
Revenue leadership demanding AI-powered GTM execution (account prioritization, automated research, intelligent outreach) but the current stack has no AI layer, and the team doesn't know how to add one without ripping and replacing everything.
CRO and VP Sales at enterprise and upper-mid-market orgs where the CEO or board has mandated AI transformation but the revenue stack is still rules-based
The buying committee mapped — each role with the pain that defines it and the hook that moves it.
Where ZoomInfo wins and where rivals are exposed, benchmarked against the closest comparator set — sourced from the GTM blueprint's competitive analysis.
| Dimension | ZoomInfo | Apollo | Cognism | 6sense |
|---|---|---|---|---|
| Category position | All-in-one B2B GTM Intelligence Platform; data + intent + enrichment + orchestration + AI in one contract | Database and prospecting tool focused on low-priced contact discovery | B2B data provider, strongest in EMEA coverage | Intent and ABM platform built around predictive buying signals |
| Data scale & coverage | 500M+ contacts, broadest B2B coverage; 67% mobile match (industry-leading) | Large database at 3 to 10x lower price; accuracy varies by segment | Strong EMEA data and phone-verified mobile; narrower North America depth | Not a primary contact database; relies on enrichment partners |
| Intent & ABM | Buyer intent plus 1B+ daily signals bundled into the platform | Basic intent; lighter signal layer | Intent via Bombora partnership | Predictive intent and ABM orchestration is the core strength |
| AI & automation | Copilot, GTM Studio, and MCP interoperability; consolidating fast | AI assist features inside the prospecting workflow | AI search and enrichment features | AI predictive scoring across the ABM funnel |
| Compliance | Strongest certification portfolio (SOC2, ISO, GDPR) | Standard compliance; lighter enterprise posture | GDPR-first and phone-verified; strong EU compliance | Enterprise compliance scoped to ABM data |
| Where they win | One vendor versus 5 to 8 stitched tools; enterprise budgets justify the premium | Price for contact access (3 to 10x cheaper) | EMEA coverage and compliance | Buyers who lead with predictive intent and ABM |
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 →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.
Book the walkthrough →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.
A ~$200M ARR composable content platform pushing upmarket, with three forces converging on the same window. Chris Masino was appointed CRO in February 2025 specifically to expand enterprise presence and accelerate adoption, the classic first-year stack-review mandate. Jake Hofwegen has run Global Revenue Operations and Enablement since December 2021, a long-tenured ops leader who knows the current stack's limitations and now sits under a new CRO. The RevOps team is actively hiring. New CRO plus enterprise expansion plus a vocal, experienced RevOps owner is the textbook stack-sprawl buying window, and with 159 quota-carrying reps the cost of fragmented tooling is a number that commands CRO and CFO attention.
Enter through Jake Hofwegen with the Stack Tax Calculator. Open on the consolidation economics for a 159-rep team pushing enterprise, framed in his operational language of "data layer" and "single source of truth," and mirror Contentful's own "composable" philosophy. The wedge is timing: the RevOps hires he is making now will build on whatever data layer exists when they arrive. Escalate to Chris Masino with the Consolidation Benchmark, positioning unified intelligence as the infrastructure for the enterprise expansion he was hired to run.
A ~$960M-revenue public SaaS company (NASDAQ: FRSH) in the middle of a live restructuring. In May 2026 it cut 500 employees (11%) and unified sales, customer success, and customer experience under a single leader. Ian Tickle was promoted to CRO in March 2026 to run that unified org, three months into the peak window for platform decisions, after prior CRO Mika Yamamoto exited. CEO Dennis Woodside is restructuring around AI ("more than half our code is written by AI"), which means GTM AI infrastructure is under pressure to catch up to product AI. Active restructuring plus a new CRO plus an org merger of previously separate teams is peak convergent signal: the org chart unifies fast, the data layer does not.
Enter through Ian Tickle with the Consolidation Benchmark. He is three months into unifying three previously separate organizations and proving efficiency gains, so the opener names the hidden problem: when separate teams consolidate they bring 3 to 5 overlapping data and enrichment tools, and the reconciliation burden runs $39K to $61K per seller. Reference his Domo and Oracle background, and frame ZoomInfo as "fewer tools, more output" given the 11% cost-pressure reality, not "add another vendor." Layer in the CEO's AI mandate as the expansion play.
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.
Contract signed. Customised onboarding doc within one business day covering goals, ICP hypotheses, and access. You have five days.
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.
In parallel: CRM hygiene, LinkedIn activation, domain warm-up, signal-to-rep routing, system integrations. Engine live by day 42.
Workstreams go live as the audit dictates: signal layer, content, outbound sequences, paid, orchestration. Weekly working sessions keep it moving.
Pipeline generated and closed-won attribution reviewed against the success criteria agreed at kickoff. Channel ROI ranked. Next quarter set.
Book a call. We'll walk through the research and map out next steps together.
Book a call. The first six are yours. The next sixty are already moving through the engine.
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