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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 Suplari'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 | North America, UK, Western Europe | Tier 1: US and UK enterprise; Tier 2: EU multinational |
| Employee Count | 1,000 to 50,000 employees | Sweet spot: 2,500 to 20,000 (large enough for complex spend, small enough to lack dedicated analytics engineering) |
| Industry / Vertical | Retail, Telecom, Media, Financial Services, Healthcare, Manufacturing, Professional Services | Prioritize industries with high supplier count and fragmented indirect spend: Retail, Telecom, Media |
| Key Qualifying Signal | Two or more ERPs or P2P systems running in parallel (SAP plus Oracle, Workday plus Coupa, legacy plus cloud), indicating fragmented spend visibility | Highest: three or more systems with no central spend taxonomy; Medium: two systems post-merger or acquisition |
| Tech Stack | SAP, Oracle, Workday, Coupa, Ariba, Jaggaer, Ivalua, Snowflake, Databricks, ZIP | Prioritize accounts with Workday or Coupa plus a legacy ERP, signaling active procurement modernization |
| Revenue / Funding | $200M to $10B annual revenue; or PE-backed with active cost-reduction mandate | Highest: $500M plus revenue with CFO-led cost transformation; Medium: PE-backed portfolio cos under margin pressure |
| Intent Signals | Job postings for Procurement Analyst, Head of Spend Analytics, or Procurement Data Engineer; G2 or Gartner Peer Insights reviews of Sievo, SpendHQ, or Coupa Analytics; LinkedIn activity around spend visibility or procurement AI | Highest: active job posts plus competitor review activity in past 90 days |
| Dimension | Qualified | Prioritization |
|---|---|---|
| Seniority | Director to C-Suite | Prioritize VP and above for economic buyer outreach; Director level for champion-building |
| Primary Titles | CPO, VP Procurement, VP Strategic Sourcing, Head of Procurement, Director of Procurement Operations | CPO and VP Procurement are economic buyers and primary targets |
| Secondary Influencers | CFO, VP Finance, Head of Supply Chain, Director of Procurement Technology, Procurement Data Analyst, IT Director (ERP) | CFO is key co-sponsor when mandate is cost reduction or margin improvement |
| LinkedIn Keywords | spend analytics, procurement transformation, spend visibility, supplier consolidation, indirect spend, procurement AI, source-to-pay, P2P optimization, category management | Prioritize profiles mentioning AI in procurement or spend data in recent 90-day posts |
| Persona | Level | KPIs | Related Challenges | Intent Signals | Related Benefits |
|---|---|---|---|---|---|
| Chief Procurement Officer | C-Suite | Total spend under management, realized savings vs. target, supplier consolidation rate, procurement ROI to CFO | Cannot prove procurement's value to the board, spend data is unreliable across multiple ERPs, team spends weeks on manual reporting instead of strategy | Speaking at procurement conferences, posting about procurement transformation on LinkedIn, reviewing spend analytics tools on G2 | Single trusted spend foundation that links insights to realized P&L savings, autonomous AI agents that free the team for strategic work, board-ready outcome tracking |
| VP Strategic Sourcing | VP | Savings identified vs. realized, category coverage, contract compliance rate, supplier risk score | Savings identified in analysis never make it to execution, sourcing decisions are made on stale or incomplete data, compliance gaps discovered too late | Job postings for sourcing analysts, LinkedIn posts about contract leakage or maverick spend, downloading spend analytics whitepapers | Continuous AI-detected savings and compliance gaps tied directly to sourcing events, explainable and traceable insights for stakeholder buy-in |
| Director of Procurement Operations | Director | Data accuracy rate, process cycle time, P2P adoption rate, exception volume | Manual spend classification is slow and error-prone, fragmented systems create duplicate vendor records and shadow spend, IT will not prioritize data cleanup | Posting about ERP integration pain or P2P rollout challenges, searching for spend classification tools, hiring for procurement data roles | Automated data cleaning and normalization across ERPs and P2P systems without replatforming, continuous classification with governance and audit trails |
| CFO or VP Finance | C-Suite / VP | EBITDA improvement, cost per dollar of spend managed, working capital efficiency, audit readiness | Procurement cannot provide defensible savings figures, cost reduction commitments made to the board are hard to track, spend data and finance data do not reconcile | Posting about margin pressure or cost transformation, attending CFO roundtables on AI, reviewing procurement ROI benchmarks | Finance-grade spend truth that reconciles with ERP, realized savings tracked from identification through to P&L impact, audit trails for compliance |
| Procurement Technology or Transformation Lead | Director / Manager | System adoption rate, integration uptime, time to insight, platform consolidation progress | Point solutions are siloed and do not share data, AI tools require clean data the team does not have, IT bottlenecks slow every integration project | Evaluating procurement tech stack on G2 or Spend Matters, posting about source-to-pay transformation, attending ProcureTech events | Pre-built connectors to SAP, Oracle, Workday, Coupa, Snowflake, and Databricks, AI-ready data layer without a rip-and-replace, no-code AI Studio for custom workflows |
We target enterprise procurement and finance leaders at companies whose tech stack reveals multi-system spend fragmentation. These accounts have the exact data chaos Suplari solves and no incumbent analytics layer strong enough to block displacement.
ERP Signal Detection
Account List Build
Enrich Firmographics
Score ICP Fit
Identify Buying Committee
Email
LinkedInWe intercept procurement buyers who are actively comparing or venting about incumbent spend analytics tools. Reviewer intent is the strongest possible in-market signal for Suplari to step in with a differentiated AI-native alternative.
Competitor Review Monitor
Peer Insights Scrape
Reviewer Identity Match
Enrich Reviewer Profile
Pull Account Firmographics
Email
LinkedInWe target companies building out procurement analytics capacity. A new hire signal means they have budget, a mandate, and a pain point Suplari can solve faster and more durably than adding headcount alone.
Job Board Monitor
LinkedIn Jobs Scrape
Account Match
Enrich Account Data
Find Procurement Leader Contacts
Identify Buying Committee
Email
LinkedInWe track alumni of Suplari customer accounts who move into new procurement leadership roles. These contacts already understand the platform, shortening the sales cycle dramatically and providing a warm internal champion from day one.
Customer Alumni Tracking
LinkedIn Job Change Alert
New Employer ICP Check
Enrich New Company Profile
Map Buying Committee at New Org
Identify Buying Committee
Email
LinkedInWe capture procurement decision-makers in the highest-intent context possible: actively investing time and budget in their own professional development and procurement strategy. Conference attendance is a self-identified signal of an active initiative.
Event Attendee Scrape
LinkedIn Event Members
Enrich Attendee Profiles
ICP Account Score
Buying Committee
EmailYou'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.