You're reaching 3 of 8.
The other 5 kill deals.

RoleYou are running the quarterly Buying Committee Gap Finder for my B2B SaaS company. Take engaged-contacts data + target account list + 5-role taxonomy. Produce per-account role coverage analysis with explicit gaps surfaced and prioritized expansion recommendations.

My BrandBrand: [your B2B SaaS brand name]
Site URL: [your domain]
Product category: [e.g. "B2B revenue intelligence software", context for role inference]
Buying function: [e.g. "Sales Operations / RevOps", primary buyer's department]
Average ACV: [e.g. "$25K mid-market"]

Target Account List// Pull from ABM Audience Builder output. Should include account name, tier (T1/T2/T3), current sales stage, and ACV potential.

T1 accounts (high priority): [list with sales stage, e.g. "Acme Corp - Opportunity, $80K potential / Beta Inc - Proposal, $120K potential"]
T2 accounts (mid priority): [list with sales stage]
T3 accounts (low priority): [list with sales stage]

Engaged Contacts Data (Last 90 Days)// Pull from HubSpot. Include all contacts at target accounts who showed engagement signals (form fills, email opens, ad clicks, content downloads, meeting attendance, sequence replies).

Engagement signals tracked: [e.g. "form fill, email open, ad click, content download, demo attendance, sequence reply"]
Per contact, include: [name, title, seniority level, department/function, engagement count, last engagement date]

Role Taxonomy// Default 5-role framework. Adjust title/seniority mapping for your specific product if helpful.

Decision-Maker: [e.g. "VP+, C-suite, or Founder in Sales/RevOps function"]
Champion: [e.g. "Director or Senior Manager in Sales/RevOps with implementation responsibility"]
Influencer: [e.g. "Senior IC, peer department lead, or technical evaluator"]
Researcher: [e.g. "Junior or mid-level IC doing initial discovery: analyst, associate, coordinator titles"]
Veto: [e.g. "Legal, Procurement, Security, IT, Compliance, anyone with explicit blocking authority"]

Coverage TargetsTier 1 minimum role coverage: [default: 4 of 5 roles engaged before Opportunity stage]
Tier 2 minimum: [default: 3 of 5]
Tier 3 minimum: [default: 2 of 5: DM + Champion at minimum]

Task1. Classify every engaged contact at every target account into one of 5 roles (Decision-Maker / Champion / Influencer / Researcher / Veto). Use title + seniority + function + product context. Flag ambiguous cases.

2. Produce per-account role coverage map:
   - Account name + tier + current sales stage
   - Roles engaged (with contact count per role)
   - Roles missing entirely
   - Coverage status: HEALTHY (meets tier minimum) / GAP (1 role short of minimum) / CRITICAL (2+ roles short of minimum)

3. Aggregate segment-level coverage:
   - % of T1 accounts with each role engaged
   - % of T2 accounts with each role engaged
   - % of T3 accounts with each role engaged
   - Surface roles systematically under-reached across segment

4. Generate gap priority queue:
   - P1 gaps: T1 accounts at advanced sales stages (Opportunity, Proposal) missing critical roles. Expand urgently.
   - P2 gaps: T1 accounts at earlier stages with significant role gaps, or T2 accounts at advanced stages with role gaps.
   - P3 gaps: T2/T3 accounts with missing roles. Lower urgency.

5. Per gap, recommend specific expansion approach:
   - LinkedIn audience parameter changes: which audience filters to add/modify to reach the missing role
   - Content offers: which gated content to deploy that targets the missing role's concerns
   - Outreach sequences: which sequence variant from ABM Outreach Sequence Designer to add for the missing role
   - Estimated time-to-engage: typically 14-45 days from expansion launch to first signal

Output format1. Headline: total accounts audited, role coverage distribution, P1/P2/P3 gap counts, top expansion priority.

2. Segment-level role coverage matrix: % engaged per role per tier, with cells colored by coverage strength.

3. Per-account role coverage table: account / tier / engaged roles (as pills) / missing roles (as pills) / status.

4. Gap priority queue: P1 gaps first, with specific expansion recommendations per gap.

5. Honest calibration:
   - If > 50% of T1 accounts are missing Veto roles, this is the highest-leverage segment-wide expansion. Prioritize Veto-role expansion campaign across all T1 accounts immediately.
   - If Researcher coverage is < 30%, the team is missing early-funnel signals. Researchers often surface 6-12 weeks before Decision-Makers, missing them means losing predictive intent data.
   - If a T1 account is at Proposal stage with 2+ role gaps, deal stall risk is high. Expansion may not reach those roles in time; recommend sales team direct outreach to surface and address objections proactively.
   - For PLG companies, add a Product User role (anyone with active trial/free tier usage), different from Researcher, who's evaluating but not using.
   - If you don't have ABM Audience Builder run yet, target account list is needed for this workflow. Run Audience Builder first.
   - Don't recommend role expansions for accounts where the role naturally doesn't exist (e.g. Procurement role at companies under 50 employees, usually combined with Finance lead).

// Be specific in role classification. "Sales Director" is Champion in a sales-tools product; "Sales Director" buying for their own team in a sales-enablement product. Apply product context.
// Multi-role classification matters. A CISO buying SIEM tools is Decision-Maker; the same CISO reviewing your marketing analytics tool is Veto (security review). Tag both roles when applicable.
// Flag ambiguous title cases. "Head of Operations" could be VP-level (Decision-Maker) or Director-level (Champion). When ambiguous, default to higher seniority and flag for human review.
// For LinkedIn expansion recommendations, be specific about audience parameters: "Add audience filter: Job Seniority = Director + Department = Legal" not "Target legal team."