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.
Static form-fill loses 60 to 70% of buyers before they ever reach a seller, and a response delay beyond 5 minutes drops engagement 10x. Every account on this list is hiring demand-generation leadership right now, with a board-level mandate to convert more inbound, inside the window where "optimize later" turns into "fix this quarter."
Companies are pouring $50K to $200K a year into 6sense, Demandbase, and Bombora for intent data, then handing target accounts the same static form everyone else sees. The conversational AI category is consolidating fast, and choosing the activation layer now decides which ecosystem a revenue team operates in for years.
AI trained on 100M+ B2B conversations can now qualify, route, and book a high-intent visitor in real time, something general-purpose chatbots could not do three years ago. The org still on form-fill and manual SDR triage is bringing a clipboard to a data fight, and the gap widens every quarter.
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 Drift's market, traceable to public sources.
| Company | Tier | Score | PQS Match | Top Signal | Primary Contact |
|---|---|---|---|---|---|
| NavanTravel & Expense SaaS | Tier 1 | 87/100 | PQS-1, PQS-2 | VP Demand Gen hiring to scale inbound to 50% of revenue + SDR build-out | Nima Asrar HaghighiVP Demand Gen, Navan |
| CongaRevenue Lifecycle Software | Tier 1 | 81/100 | PQS-1 | "Web chat" named in Director job description + VP Demand Gen open | VP Demand GenOpen role; Dir. Digital Marketing |
| AmplitudeProduct Analytics | Tier 2 | 78/100 | PQS-1 | 6.9M visits on a form-fill pricing page + new pricing rollout | Michelle KimVP Marketing, ex-Okta |
| PagerDutyOperations Management | Tier 2 | 74/100 | PQS-1 | Growth stalled to 1% YoY + CEO transition + Sr Dir DG hiring | Katherine Post CalvertCMO & Growth, PagerDuty |
| BrazeCustomer Engagement | Tier 2 | 73/100 | PQS-1, PQS-2 | Record customer adds + staffing challenges + static-form irony | Astha MalikCMO, Braze |
| MiroVisual Collaboration | Tier 2 | 68/100 | PQS-1 | 18% layoffs + Global Head Enterprise DG hiring + form-fill Enterprise tier | Global Head Enterprise DGOpen role, manual search |
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 pain-qualified segments.
SDR and BDR job postings, demand-gen leadership hires, no chat widget on pricing or demo pages, 50K+ monthly visits without a conversational layer, recent funding, and public LinkedIn posts about pipeline. Easy to detect, widely searched, noisy alone.
SEC 10-K and 10-Q "increase S&M spend" and pipeline language, SimilarWeb traffic and bounce proxies, Glassdoor SDR-burnout sentiment, and BuiltWith historical scans showing exactly when chat tools were added or removed and what ABM platform is wired in.
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 conversational marketing 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.
High-traffic B2B sites with 50,000+ monthly visitors but inbound-to-meeting conversion below 1%. The SDR team qualifies form-fills by hand, response time runs to hours, and 60%+ of high-intent visitors bounce without ever engaging.
VP of Demand Generation / Digital Marketing at B2B companies with 50K+ monthly visits, $50M+ revenue, and a sales-led or hybrid inbound motion
Companies spending $50K to $200K+ a year on 6sense, Demandbase, or Bombora for intent data, but when target accounts hit the website they see the same generic experience as everyone else. ABM spend cannot be tied to pipeline because the handoff from intent signal to real-time engagement is broken.
VP Demand Gen and Head of RevOps at enterprises running an active ABM platform without a conversational activation layer
Support teams spending 40%+ of agent time on repetitive, low-complexity inquiries while CSAT slides and response times grow. Hiring more agents is not affordable and outsourcing degrades quality.
Director / VP of CX and Support at B2B SaaS companies with 100,000+ customers and active, high-volume support operations
Existing conversational-marketing customers facing a forced platform migration. They must choose between an unproven successor, a full platform purchase, or switching to a competitor, and every option carries cost, risk, and disruption.
VP Demand Gen and Head of RevOps at companies with a chat widget installed today and an end-of-contract decision approaching
The buying committee mapped — each role with the pain that defines it and the hook that moves it.
Where Drift wins and where rivals are exposed, benchmarked against the closest comparator set — sourced from the GTM blueprint's competitive analysis.
| Dimension | Drift | Qualified | Intercom | HubSpot Conversations |
|---|---|---|---|---|
| Category position | Creator of the conversational marketing category; the Chat pillar of the Salesloft Revenue Orchestration Platform | Salesforce-native ABM conversational platform | Unified sales and support chat with the Fin AI agent | CRM-native chat for HubSpot users |
| Conversational AI depth | AI trained on 100M+ B2B conversations for sector-specific qualification depth | Piper AI SDR built on Salesforce data | Fin AI tuned for support deflection first | Built-in chatflows with lighter AI qualification |
| CRM & orchestration | API-based Salesforce + HubSpot with native Salesloft Rhythm signal feed into the seller's workflow | Native Salesforce architecture; data lives inside SF objects | Standard CRM connectors; support-inbox first | Zero-friction inside HubSpot only |
| ABM activation | Native 6sense integration; intent-to-conversation playbooks (Blue Yonder +40% to purchase stage) | ABM signals surfaced inside Salesforce | Limited ABM focus | Basic account targeting |
| Where they win | Sales-first pipeline conversion with the deepest B2B training set and native revenue-orchestration fit | Salesforce-only shops that want data living in SF objects | Teams consolidating sales and support in one inbox | HubSpot-native teams wanting zero integration |
| Proof & installed base | Adobe, Okta (30x pipeline), 1Password (16K support hours saved), Blue Yonder, Boomi (41 days off the cycle) | Demandbase, Greenhouse, ThoughtSpot, Staffbase (150% pipeline) | Broad SMB-to-enterprise support base | Largest SMB CRM install base |
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 ~$530M-revenue, Thoma Bravo-backed revenue-lifecycle software company, freshly enlarged by the February 2026 PROS B2B acquisition. The standout signal is rare: a Director of Global Digital Marketing job description that names "email nurturing and web chat" explicitly in scope, hiring alongside an open VP of Demand Generation. The conversion gap is not inferred here, it is named in their own posting, with budget likely allocated and no tool yet selected. conga.com runs high-value pricing and demo pages on static forms with a deep Salesforce footprint and no conversational layer detected.
With the VP DG seat vacant, enter through the hiring manager (CMO or SVP Marketing) with a conversion-gap analysis on the pricing and demo pages, framed against the PROS acquisition that just made the conversion gap larger. The wedge is the "web chat" line in their own job description: the conversion infrastructure is the force multiplier for every demand-gen hire they are making. Email with a page-level analysis; monitor LinkedIn for the VP DG hire and engage the Director of Digital Marketing once in seat.
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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