gtmagency
gtmagency
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Previously ran growth for 500+ SaaS companies through their product launches. Our team has also worked with companies backed by
This playbook maps KindHealth's ideal customer profile across account, prospect, and persona dimensions, then lays out 5 signal-based outbound plays. Each play fires on a specific buying signal so your outreach lands the moment a prospect is most likely to act.
| Dimension | Qualified | Prioritization |
|---|---|---|
| Geography | United States (all states, with emphasis on states with active ERISA fiduciary litigation activity: TX, CA, IL, NY, FL, OH) | Prioritize states where ERISA health plan lawsuits have been filed or publicized in the past 24 months |
| Employee Count | 200 to 5,000 employees (mid-market self-funded sweet spot; below 200 typically fully-insured, above 5,000 often have internal analytics teams) | Tier 1: 500 to 2,500 employees. Tier 2: 200 to 499 and 2,500 to 5,000 |
| Industry / Vertical | Manufacturing, professional services, logistics and distribution, construction, retail chains, healthcare services, technology companies with distributed workforces | Prioritize industries with high healthcare utilization variance and hourly or mixed workforces where pharmacy and specialist costs are elevated |
| Key Qualifying Signal | Company self-funds or level-funds its health plan, meaning it bears direct financial risk for claims and has access to raw claims data but lacks an internal analytics function to interpret it | Tier 1: Confirmed self-funded with 300+ covered lives and no dedicated benefits analytics vendor on contract. Tier 2: Level-funded or in transition from fully-insured to self-funded |
| Tech Stack | HRIS platforms (Workday, ADP, Paylocity, Paycom, UKG), TPA integrations (Meritain, Imagine360, Trustmark, Allied Administrators), benefits admin tools (bswift, PlanSource, Businessolver) | Prioritize accounts using mid-market TPAs or self-administered claims without a dedicated analytics overlay. Absence of Springbuk, Innovalon, or similar benefits analytics vendor is a strong positive qualifier |
| Revenue / Funding | $20M to $500M annual revenue for private companies; public mid-cap companies with 200 to 5,000 US employees | Prioritize private companies with recent headcount growth, recent funding rounds (Series B plus), or M&A activity that would introduce plan complexity |
| Intent Signals | Researching ERISA fiduciary compliance, self-funded health plan benchmarking, pharmacy cost containment, GLP-1 cost management, benefits renewal preparation, stop-loss insurance shopping | Tier 1: Active research on ERISA fiduciary duty or self-funded plan analytics in past 30 days. Tier 2: Job postings for benefits analyst or VP Total Rewards roles |
| Dimension | Qualified | Prioritization |
|---|---|---|
| Seniority | C-Suite, VP, and Director level with budget authority or direct input into benefits strategy and healthcare spend decisions | Prioritize VP and above at companies where HR reports into the CFO or where finance has direct oversight of benefits spend |
| Primary Titles | CFO, VP Finance, Chief People Officer, CHRO, VP Human Resources, VP Total Rewards, Director of Benefits, Benefits Manager | Tier 1: CFO and CHRO at companies with 300 to 2,500 employees. Tier 2: VP Total Rewards and Director of Benefits at companies with 500 to 5,000 employees |
| Secondary Influencers | Controller, VP Operations, General Counsel (ERISA compliance angle), Chief of Staff, VP People Operations | Engage General Counsel and Controller when ERISA fiduciary risk messaging is the primary hook; engage VP Operations when cost containment and workforce spend efficiency is the angle |
| LinkedIn Keywords | self-funded health plan, self-insured employer, ERISA fiduciary, benefits strategy, total rewards, healthcare cost containment, pharmacy benefits, stop-loss, claims data, benefits analytics, GLP-1 management, level-funded plan | Prioritize profiles that list self-funded or self-insured in their summary or experience section, or who have posted or engaged with ERISA or pharmacy cost content in the past 90 days |
| Persona | Level | KPIs | Related Challenges | Intent Signals | Related Benefits |
|---|---|---|---|---|---|
| CFO | C-Suite | Total healthcare spend per employee, year-over-year cost trend, stop-loss attachment utilization, benefits as percent of total comp spend | Healthcare costs are the second largest line item with almost no real-time visibility. Renewal surprises routinely force mid-year budget revisions. No independent data layer to validate what the broker or TPA is reporting. | Researching healthcare cost benchmarking, self-funded plan ROI, pharmacy spend control, ERISA litigation news | Continuous 24/7 visibility into plan cost drivers, independent of broker interpretation. Early warning on large claimant exposure before it becomes a stop-loss event. Audit-ready fiduciary documentation that protects the company. |
| CHRO / Chief People Officer | C-Suite | Benefits utilization rate, employee satisfaction with benefits, total rewards competitiveness, retention impact of benefits design | Responsible for plan design decisions but relies entirely on renewal-cycle data from the broker. Cannot distinguish whether poor employee experience stems from plan design gaps or access issues without claims-level insight. | Researching benefits benchmarking, employee benefits experience, total rewards strategy, benefits vendor evaluation | Plain-English executive view of plan performance that does not require clinical expertise to interpret. Employee decision support via Kio feeds back utilization confusion signals to inform plan design changes. |
| VP Total Rewards / Director of Benefits | VP / Director | Claims loss ratio, pharmacy spend trend, vendor point solution ROI, renewal rate change, benefits program participation rates | Manages a fragmented ecosystem of benefit vendors with no unified view of performance. Cannot build a business case for vendor changes without structured claims data. Spends renewal cycles in reactive mode rather than driving strategy. | Job change into a new benefits leadership role, posting about benefits vendor consolidation, researching self-funded plan analytics tools, engaging with GLP-1 cost management content | Cost driver intelligence that identifies top five spend categories continuously. Vendor and point solution review module that surfaces underperforming contracts with utilization evidence. Shared consultant workspace that makes QBR preparation faster and more credible. |
| VP Human Resources / VP People Operations | VP | Headcount growth support, HR operational efficiency, compliance incident rate, employee NPS on benefits | Benefits administration complexity is growing with headcount but HR team capacity is not. ERISA fiduciary obligations are expanding without dedicated legal or analytics support. Dependent on broker for plan intelligence creates information asymmetry. | Hiring for benefits analyst or HR operations roles, engaging with ERISA compliance content, researching HR tech stack consolidation | Fiduciary governance center creates audit-ready decision logs without requiring additional legal or compliance headcount. Workforce and geography intelligence connects plan performance to actual employee populations across multiple locations. |
| General Counsel / VP Legal | VP / Director | ERISA compliance posture, litigation exposure, fiduciary audit readiness, documentation completeness | ERISA lawsuits targeting employer health plans are rising and the legal team has limited visibility into whether benefits decisions are being documented to the standard courts now expect. Fiduciary defense relies on broker-provided records rather than independent employer documentation. | Researching ERISA health plan litigation, fiduciary duty for self-funded employers, DOL audit preparation | Fiduciary governance center logs every material benefits decision with evidence reviewed, alternatives considered, and rationale documented, creating an independent audit record the employer controls. |
We target CFOs and CHROs at companies that have recently been named in or publicly flagged ERISA health plan scrutiny, as these companies have an acute, time-sensitive need for independent fiduciary documentation. KindHealth's Fiduciary Governance Center is the direct answer to their immediate legal and compliance exposure.
ERISA Litigation MonitorDOL Audit News Scan
LinkedIn Topic Monitor
Employer Fiduciary Posts
Identify Employer Account
Verify Self-Funded StatusFind CFO and CHRO Contacts
Validate EmailsIdentify Buying Committee
Email
LinkedInCompanies actively hiring benefits leadership are in a structural transition moment where they lack the analytics infrastructure to support the role they are creating. We target the incoming hire and their executive sponsor with messaging that positions KindHealth as the intelligence layer that makes their new function immediately effective.
Benefits Job Post ScrapeLinkedIn Jobs MonitorIndeed and Glassdoor ScanEnrich Hiring CompanyConfirm Employee Count and Plan TypeFind CHRO and CFO ContactsValidate Contact EmailsEmailLinkedInRenewal season is the one moment each year when every CFO and CHRO is forced to confront their health plan costs without adequate data to drive the conversation. We time outreach to land when they are most receptive to an independent intelligence layer that shifts the renewal dynamic from reactive to strategic.
Bombora Intent SurgeLinkedIn Renewal Post Monitor
Stop-Loss RFP Activity SignalsEnrich Surging AccountsConfirm Self-Funded Status and SizeBuild Buying CommitteeIdentify Buying CommitteeEmailLinkedInChampions who have experienced continuous benefits performance intelligence at a prior employer become buyers within the first 90 days at a new company once they realize the data gap they have inherited. We identify these job changes as they happen and reach them before they settle for the status quo.
Champion Job Change AlertLinkedIn New Role DetectionAlumni Signal TrackingConfirm New Employer ProfileVerify Self-Funded Plan at New EmployerValidate New Contact EmailIdentify Buying CommitteeEmailLinkedInGLP-1 and specialty drug costs are the fastest-growing and least-understood line item in employer health plans right now. We identify decision-makers who are publicly expressing concern or curiosity about this issue and reach them with highly specific messaging that connects KindHealth's Pharmacy Intelligence to the exact problem they just described.
LinkedIn Post Engagement ScrapeGLP-1 Topic Monitor
Reddit Employer Benefits CommunitiesLinkedIn Comment ScrapeIdentify Commenter ProfileEnrich Employer AccountConfirm Self-Funded Plan and SizeValidate Contact EmailBuying CommitteeEmailYou'll have qualified demos booked in your calendar within 45 days: infrastructure, sequences, and live campaigns installed for you.
You don't pay a retainer. Everything we build belongs to you from day one: data, playbooks, and infrastructure.
If by day 45 you aren't seeing qualified demos booked in your calendar, we keep working completely for free until you do.
We build and install a fully automated, signal-based outbound system, outbound, ads, and content, in a 45-day sprint. No retainer, and you own everything. Demos booked in 45 days or we work free until they are.
