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.
The average CRO lasts 18 to 26 months, and boards now tie capital and hiring to forecast reliability. Miss the number twice and the role is at risk. Four of the six accounts on this list installed a new revenue leader in the last 12 months, each inside the 90-day stack-audit window where "evaluate later" becomes "decide this quarter."
Clari acquired Salesloft in August 2025, and the sales engagement, conversation intelligence, and forecasting categories are collapsing into a handful of platforms. CFOs are demanding stack rationalization at the same time. Choosing a revenue platform now decides which ecosystem a team operates in for years. The window to pick is open and closing.
AI-led revenue workflows, autonomous agents, and predictive forecasting were not viable three years ago. Teams that adopt AI agents now compound a data advantage that widens every quarter, Outreach cites 33M+ weekly action-outcome pairings feeding its models. The org still on manual sequencing and spreadsheet forecasts is bringing a clipboard to a data 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 Outreach's market, traceable to public sources.
| Company | Tier | Score | PQS Match | Top Signal | Primary Contact |
|---|---|---|---|---|---|
| FreshworksSaaS / CRM & IT | Tier 1 | 91/100 | PQS-1, PQS-2 | New CRO (Mar 2026) + 11% layoffs + sales org unification | Ian TickleCRO, Freshworks |
| BrazeCustomer Engagement | Tier 1 | 88/100 | PQS-1, PQS-3 | New CRO Ed McDonnell (Jul 2025) + 212 open jobs + AI push | Ed McDonnellCRO, Braze |
| ClickUpProductivity SaaS | Tier 1 | 82/100 | PQS-4, PQS-3 | Six exec hires + new CRO + $1B ARR target | Will MayCRO, ClickUp |
| PersonioHR Tech SaaS | Tier 2 | 76/100 | PQS-1, PQS-3 | Salesforce + Gong + Snowflake + 400 AI assistants | Philip LacorCRO, Personio |
| RipplingHR & Finance SaaS | Tier 2 | 73/100 | PQS-4 | $1B ARR at 78% YoY + massive sales hiring | Matt PlankCRO, Rippling |
| NavanTravel & Expense | Tier 2 | 70/100 | PQS-4, PQS-2 | Post-IPO forecast pressure + RevOps Director hire | Daniel CorwinGlobal CRO, Navan |
The score is a layered read of what's observable, what domain knowledge unlocks, and what combinations reveal. 87 signal types mapped across the segments.
New CRO and VP Sales appointments, funding rounds, earnings results and revised guidance, job postings for "RevOps transformation" and "tool consolidation," and public LinkedIn posts about simplifying the stack. Easy to detect, widely searched, noisy alone.
SEC 10-K risk-factor language on forecast accuracy and systems integration, earnings-call references to "pipeline visibility," BuiltWith technographic overlaps showing 3+ competing sales tools, and industry benchmark databases flagging below-standard sales KPIs.
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 orgs running 5+ disconnected sales tools (separate sequencer, dialer, CI tool, forecasting tool, CRM plugins) where data fragmentation creates reporting blind spots and sync failures. Sellers spend 72% of their time on non-selling activities, context-switching across tools that do not talk to each other.
CRO and VP/Head of RevOps at mid-market and enterprise B2B companies with 50+ sellers that grew their stack organically over 3 to 5 years
Sales orgs where forecast accuracy deviates 15%+ from actual results, creating board-level credibility crises and misallocated capacity. Revenue leaders lack visibility into deal health, pipeline coverage, and intraquarter trends because forecasting is manual: spreadsheets, gut calls, and manager rollups without AI validation.
CRO and VP Sales at companies with $50M-$5B revenue, 100+ open opportunities, multi-quarter cycles, and complex buying committees
Revenue orgs where the CEO or board has mandated AI adoption for sales productivity, but the team lacks a platform-level strategy to operationalize it. They are running AI experiments that do not scale, or have not started because they do not know where to begin, while competitors deploy AI agents and compound their data advantage.
CRO and VP Sales at enterprise and upper mid-market companies where AI is on the strategic agenda but the revenue team lags marketing, product, and engineering in adoption
Revenue orgs with 30%+ growth targets that cannot hire sellers fast enough to meet them. New reps take 3 to 6 months to ramp, and every unfilled seat is lost pipeline. The org needs to multiply the output of existing sellers rather than rely on linear headcount growth.
CRO and VP Sales at Series B-D SaaS companies and public companies in growth mode, where the plan requires more output per rep rather than proportional hiring
The buying committee mapped — each role with the pain that defines it and the hook that moves it.
Where Outreach wins and where rivals are exposed, benchmarked against the closest comparator set — sourced from the GTM blueprint's competitive analysis.
| Dimension | Outreach | Salesloft | Gong Engage | Salesforce Sales Cloud |
|---|---|---|---|---|
| Category position | Agentic AI platform for enterprise revenue teams; unifies engagement, CI, deal management, and forecasting; $4.4B valuation | Closest direct sales-engagement rival; now part of Clari following the August 2025 merger | Conversation intelligence leader expanding from CI into sequencing and calling | CRM absorbing engagement into the core platform layer |
| Sales engagement depth | Purpose-built enterprise engagement with native sequencing, dialer, and AI orchestration | Feature-for-feature competitor; strong engagement, lighter enterprise depth | Native engagement still being built on top of a CI core | Engagement is a feature, not a purpose-built platform |
| AI agents & governance | Broadest AI agent ecosystem in category; Agent Studio + MCP interoperability; first ISO 42001 responsible-AI certification | Rhythm AI signal engine inside the engagement workflow | AI features layered on the conversation-intelligence core | Einstein and Agentforce across the CRM suite |
| Forecasting | Native AI forecasting grounded in engagement and conversation evidence; customers report within 5% | Pipeline management included; lighter forecast depth | Forecasting layered on the CI surface, not the primary strength | Forecasting in the CRM core; manual-heavy without overlays |
| CRM architecture | Salesforce-first with native bidirectional sync; 90+ integrations; tiered REST API | Salesforce and HubSpot sync across the engagement layer | CRM integrations from a CI-first foundation | Is the CRM; engagement data lives natively but as a feature set |
| Scale & momentum | 6,000+ customers, $4.4B valuation, 3B+ proprietary training signals, 33M+ weekly action-outcome pairings | Folded into Clari following the August 2025 merger | 5,000+ CI customers, now expanding into the engagement category | Largest CRM install base; engagement is one module of many |
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 public SaaS company guiding to $958-964M in FY2026 revenue while mid-restructuring. Three forces converge on the same quarter: Ian Tickle was promoted to CRO in March 2026 specifically to unify a fragmented global sales org; an 11% workforce reduction of roughly 500 roles was announced in May 2026; and CEO Dennis Woodside is running a top-down AI mandate ("over half our code is written by AI"). The stack carries dual-CRM complexity, Freshsales plus Salesforce for enterprise GTM per job postings, with no engagement or forecasting platform detected. New CRO plus restructuring plus a fragmented stack is the textbook tool-sprawl buying window, and the budget freed by the layoffs is what funds the consolidation.
Lead with the sales-tool-tax angle. Open on the cost of a fragmented stack at their scale (~$960M revenue, multiple sales teams merging), framed against the unification mandate. The wedge is the compounding stack decision: the unified org Tickle is building now will run on whatever data layer exists when it is finalized. Cisco's 30-tools-to-one consolidation is the proof point. Email to Ian Tickle; he is inside the first-two-quarters decision window, before processes calcify.
A $738M customer-engagement platform growing 24% YoY with 212 open roles. Ed McDonnell arrived as CRO in July 2025 from Asana (CRO) and Salesforce (EVP Marketing Cloud) to lead all global revenue operations, and is now roughly 11 months in, deep enough to have diagnosed the problems, soon enough to still be building the foundation. 45+ of the open roles are in sales, and a company-wide "Sage" AI push is central to the growth narrative. Salesforce appears in 20% of job postings and no engagement platform is confirmed, the classic "new leader audits the stack" scenario at enterprise scale.
Lead with the ramp-time math. At 45+ new sellers, every month of ramp without a unified engagement platform is measurable lost pipeline; published benchmarks put consolidated-platform ramp under 2 months versus 4 to 5 with disconnected tools. Frame it against his Salesforce Marketing Cloud scale background, where he saw firsthand what scaling from $500M to $1B+ looks like without the right infrastructure. Email to Ed McDonnell, whose LinkedIn is verified and who is publicly active.
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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