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 CPO or VP Product makes foundational tooling decisions inside their first 6 to 12 months. Every Tier-1 account on this list has a new product leader or an active Product Ops hire in that window: Drata is recruiting a Senior Product Operations Manager, Clio is hiring a Senior PM for onboarding and activation, and Lattice brought in SVP Product G. Vives in November 2025. The moment "evaluate later" turns into "decide this quarter."
The EU AI Act compliance window closes in August 2026, and enterprise AI agents are being deployed faster than anyone can measure them. Companies that shipped copilots, like Clio Duo and Lattice's HR agent, now face board and regulator questions they cannot answer without agent-level observability. Pendo's Agent Analytics is the first purpose-built solution, and the window to instrument before the deadline is open and closing.
Analytics in one tool, guides in another, feedback in a third: PMs on fragmented stacks wait 5 to 14 days for a feature-adoption answer that a unified platform returns in under a day. Drata's own Amplitude case study calls its prior tools "complicated, siloed, and lacking flexibility." Every day of latency is a day of invisible churn, and finance is now cutting the point-solution budgets that created the sprawl.
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 Pendo's market, traceable to public sources.
| Company | Tier | Score | PQS Match | Top Signal | Primary Contact |
|---|---|---|---|---|---|
| DrataSecurity & Compliance SaaS | Tier 1 | 87/100 | PQS-1, PQS-3 | Amplitude customer with fragmented stack + Product Ops hire + AI agent, no analytics | Brian ElmiVP Product, Drata |
| ClioLegal Technology SaaS | Tier 1 | 84/100 | PQS-1, PQS-3 | Hiring onboarding PM + own research shows AI adoption fell 58% to 40% + Clio Duo no analytics | Michelle DunleaVP Product Mgmt, Clio |
| LatticeHR Technology SaaS | Tier 1 | 83/100 | PQS-3, PQS-1 | New SVP Product + AI agent relaunch needs ROI proof + 250% HRIS growth | Guillaume (G) VivesSVP Product, Lattice |
| FivetranData Infrastructure SaaS | Tier 2 | 77/100 | PQS-1 | dbt Labs merger + Product Ops hire + multi-product analytics gap | Anjan KundavaramCPO, Fivetran |
| ContentfulCMS / DXP SaaS | Tier 2 | 74/100 | PQS-1 | New CEO + new CPO + AI features launched + developer-to-marketer expansion | Karl RumelhartCPO, Contentful |
| CartaFintech / Equity Mgmt | Tier 2 | 70/100 | PQS-1, PQS-2 | Hiring two VP Product roles + multi-product portfolio + hidden adoption gaps | Vrushali PaunikarCPO, Carta (verified) |
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.
Product Ops and Product Analytics job postings, AI agent and copilot launch announcements, funding rounds and IPOs, new CPO and VP Product appointments, split-tool tech stacks visible in BuiltWith and Wappalyzer. Easy to detect, widely searched, noisy alone.
SEC 10-K risk-factor language on digital transformation ROI, Bombora topic surges on "product analytics" and "change management," WalkMe and Whatfix contract-expiration proxies via technographic change, EU AI Act compliance filings, and Glassdoor "tooling fatigue" themes.
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.
Product usage data is fragmented across three or more tools, with analytics in Amplitude, guides in Appcues, and feedback in Qualtrics. PMs cannot answer "which features drive retention" without a two-week engineering sprint, and every new tracking event or in-app experience is bottlenecked on developer availability.
VP / Head of Product at B2B SaaS and software companies (200 to 10K employees) with a customer-facing product and two or more analytics or guide tools detected
CS teams discover churn only at renewal. No early-warning system ties product behavior to account health, so CSMs rely on relationship intuition rather than behavioral signals. The operation is reactive firefighting, not proactive intervention.
VP / Director of Customer Success at B2B SaaS companies (100 to 5K employees) on a subscription model with NRR below 115%
The organization has deployed AI agents, whether customer-facing chatbots, internal copilots, or embedded AI features, but has zero measurement infrastructure for agent performance. It cannot answer whether the agents are helping users, causing frustration, or returning any ROI.
VP / Head of Product or AI Product lead at companies (500+ employees) that have publicly announced an AI agent or copilot deployment
The enterprise deployed new internal software such as Salesforce, Workday, SAP, or ServiceNow, but adoption has stalled below 50% and roughly 27% of employees use unauthorized shadow tools instead. Training was one-time; ongoing behavioral change was never instrumented.
CIO, IT Director, or Head of Digital Transformation at enterprises (1,000+ employees) with a recent major software deployment
The buying committee mapped — each role with the pain that defines it and the hook that moves it.
Where Pendo wins and where rivals are exposed, benchmarked against the closest comparator set — sourced from the GTM blueprint's competitive analysis.
| Dimension | Pendo | Amplitude | Userpilot | WalkMe (SAP) |
|---|---|---|---|---|
| Category position | Product experience platform spanning analytics, guidance, feedback, and AI agent analytics; defining a fourth sub-category in agent observability | Product analytics platform built for data teams | Analytics plus guidance and feedback for PLG teams | Enterprise digital adoption platform |
| Product analytics | Retroactive capture means time-to-first-insight in hours; no-code, no engineering dependency | Deepest behavioral and funnel analytics for data teams | Solid product analytics, lighter enterprise depth | Adoption analytics focused on internal enterprise apps |
| In-app guidance & adoption | No-code guide builder unifying onboarding, announcements, and walkthroughs in the same platform as analytics | No in-app guidance or adoption layer | Strong guides and onboarding flows | Dominant on guidance for SAP-centric internal software |
| Feedback & voice of customer | Native feedback and sentiment capture tied to usage data | Requires a separate feedback tool | Feedback included; lighter at enterprise scale | Limited customer-facing feedback capability |
| AI agent analytics | First purpose-built agent analytics; measures agent performance, ROI, and EU AI Act-relevant observability | No dedicated AI agent analytics | No dedicated AI agent analytics | No customer-facing agent analytics |
| Where they win & where exposed | One platform across analytics, guidance, feedback, predict, and agent analytics; eliminates the stitching tax of 3+ tools | Deeper behavioral analytics for data teams, but analytics-only | Transparent pricing and a tight PLG motion, weaker enterprise depth | Owns SAP-centric enterprise DAP, weaker on customer-facing analytics |
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 ~$100M ARR security and compliance platform valued at $2B, expanding fast through the SafeBase and oak9 acquisitions and an August 2025 agentic-AI launch for Vendor Risk Management. The pain is first-party: Drata's own published Amplitude case study describes its prior analytics as "complicated, siloed, and lacking flexibility," documents slow onboarding completion, and credits a 4x feature-adoption lift to finding and fixing those gaps. A Senior Product Operations Manager posting confirms budget is allocated to unify the stack, and the new VRM agent runs with no agent analytics. Amplitude-only analytics plus a Product Ops hire plus documented onboarding friction is the textbook PQS-1 high-confidence pattern.
Lead with the analytics-to-action gap. Open on where adoption-measurement latency hides after SafeBase and oak9, framed against Brian Elmi's own case-study result. The wedge is consolidation: analytics, guidance, feedback, and agent analytics under one SDK, supplementing Amplitude rather than ripping it out, with low switching friction. Email to the VP Product, with the VP CS multi-thread following on the churn-prediction angle within two weeks.
A $500M ARR legal-tech platform valued at $5B, having doubled revenue from $250M in 18 months and acquired vLex to deepen its AI portfolio. Clio's own 2026 UK&I Legal Insights Report shows legal-specific AI adoption fell from 58% to 40% despite heavy investment, which is a measurement problem stated in their own data. They are actively hiring a Senior PM for onboarding and activation across every Clio product, Clio Duo shipped with no agent analytics, and reviews flag limited reporting customization. The combination is a clean PQS-1 and PQS-3 hybrid with fully greenfield tooling.
Lead with the AI adoption gap surfaced by their own research, reframed as activation and in-product guidance rather than a product-capability problem. Email to VP Product Management Michelle Dunlea, then multi-thread to VP Product Design Amy Hedrick on in-app guidance and onboarding UX, with the incoming Onboarding PM as the day-to-day champion. Warm with two to three weeks of LinkedIn engagement first; this is an enterprise cycle with legal-procurement nuance.
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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