What makes IT-Director scoring different from generic lead scoring?
IT buying has cycles (fiscal-year, tech-refresh), procurement structures (RFP, pre-approved vendor lists), and function diversity (Infrastructure, Applications, EUC, Security) that generalist scoring tools miss. A score built on title match plus firmographic fit will miss the buying-window signals that matter for an IT motion. Strkr fuses budget-authority proxies, fiscal-year signal, refresh-cycle timing, vendor-management maturity, infosec posture, and function disambiguation into one Strkr Score so the SDR pitches when the IT Director is actually in a buying window.
How is Strkr different from ZoomInfo or 6sense for IT-Director ICPs?
Three structural differences. Strkr tracks fiscal-year signal and tech-refresh timing per account so the buying-window math is explicit. Strkr parses vendor-management maturity and infosec posture signals so the SDR knows which motion to run. And Strkr prices scoring on the flat seat line, so IT-targeted teams can rescore ahead of each fiscal cycle without a credit-overage conversation. For an IT motion that lives and dies on buying-window timing, the combined posture usually produces 2x higher conversion than running a generalist stack.
How does Strkr estimate budget authority for an IT Director?
The AI fuses company size, reporting level (whether the IT Director reports to CIO, VP IT, or CFO), function scope (how many functions they own based on parsed job description signals), and procurement-posture proxies (RFP posting history, vendor-management maturity). The estimate is a range, not a point. A 400-person mid-market IT Director reporting to CFO with no CIO above them might estimate 500K to 2M in discretionary authority; a 15,000-person enterprise IT Director reporting to CIO might estimate 100K to 400K in discretionary authority with larger line items requiring approval. The admin tunes the model per workspace with evidence.
How does Strkr track fiscal-year and tech-refresh timing?
Fiscal-year signal comes from SEC filings for public companies and inferred signals for private (hiring patterns, blog posts, procurement portal timing, published vendor-review schedules). Tech-refresh timing comes from RFP postings, vendor-review mentions in job postings, published contract-expiration cues from licensed providers, and admin-provided data (your own CRM activity on prior deals with the account). Both signals cite source and freshness. The Strkr Score weights buying-window signals heavily because they are the single highest-correlation signal with close rates on IT motions.
How does Strkr handle the infosec review bottleneck?
Strkr flags accounts likely to require formal infosec review based on industry (regulated verticals: finance, healthcare, insurance, government, education), named CISO or security team signals, published security postures, and RFP history that mentions SOC 2, HIPAA, or FedRAMP. The SDR sees the flag on the record and leads first-contact outreach with Strkr's own compliance posture: HIPAA compliant with BAA available, SOC 2 Type II in progress through 2026-Q4, GDPR and CCPA posture clean. Deal cycle time on flagged accounts typically drops because the infosec conversation happens upfront instead of surfacing at week 6.
Is Strkr safe for a regulated IT-targeted motion?
Yes. HIPAA compliant with BAA available for healthcare IT motions. SOC 2 Type II in progress through 2026-Q4. GDPR and CCPA posture clean. For defense and public-sector motions with FedRAMP requirements, roadmap is tracked; contact us for current status. Every AI scoring call runs under user claims so RLS propagates. The audit log captures every scoring call with prompt, response, model, user, latency per call for compliance review.