abm-account-research

name	abm-account-research
description	Deep Account-Based Marketing research for Talosix target accounts. Compiles comprehensive account intelligence including clinical trial pipeline, technology landscape, organizational structure, stakeholder mapping, and generates account-specific messaging pillars.
allowed-tools	Read, Grep, Glob, Bash, WebSearch, WebFetch
argument-hint	[company-name]

ABM Account Research

Purpose

Produce a comprehensive Account-Based Marketing intelligence package for a target account. This goes deeper than prospect research -- it maps the entire account landscape to support a coordinated, multi-stakeholder sales campaign. The output enables sales, marketing, and executive leadership to engage the account with precision.

Workflow

Step 1: Account Identification and Scoping

Parse the input company name. Determine:

• Legal entity name vs. common/trade name
• Parent company vs. subsidiary structure (important for large pharma -- e.g., Roche vs. Genentech)
• Geographic scope (global HQ, regional operations)
• Business units relevant to clinical trials (some conglomerates have non-clinical divisions)

Use WebSearch with queries like:

• "[company name]" about overview clinical trials
• "[company name]" subsidiaries divisions business units
• "[company name]" annual report 2025 2026

Step 2: Company Deep Dive

Compile a thorough company profile:

Corporate Overview:

• Founded, HQ location, employee count
• Public/private, market cap (if public), recent financial performance
• Mission, therapeutic focus areas, strategic priorities
• Recent M&A activity, partnerships, licensing deals

Business Model:

• Revenue model (CRO services, drug development, contract manufacturing)
• Customer base (who are THEY selling to, if a CRO)
• Geographic footprint and expansion trajectory
• Growth rate and trajectory

Use WebSearch and WebFetch to pull from:

• Company website (About, Investors, News pages)
• SEC filings or annual reports (for public companies)
• Industry databases and rankings
• Recent news articles and press releases

Step 3: Clinical Trial Pipeline Analysis

This is the most critical section for Talosix positioning. Conduct thorough trial research:

Search Strategy:

• WebSearch: "[company name]" site:clinicaltrials.gov
• WebSearch: "[company name]" clinical trial pipeline 2025 2026
• WebSearch: "[company name]" phase III OR "phase 3" trial
• WebFetch: Pull ClinicalTrials.gov results pages for detailed trial data

Compile:

Metric	Data
Total active trials	[count]
Phase I	[count]
Phase II	[count]
Phase III	[count]
Phase IV / Post-market	[count]
Therapeutic areas	[list with counts]
Geographic distribution	[countries/regions]
Trial complexity indicators	[adaptive, decentralized, rare disease, pediatric]
Recently registered (last 6 months)	[count and key trials]
Estimated annual new trial starts	[count]

Trial Complexity Assessment:

• Average sites per trial
• Adaptive or platform trial designs
• Decentralized/hybrid elements (ePRO, remote monitoring, direct-to-patient)
• Rare disease or pediatric populations (complex regulatory requirements)
• Global trials with regional regulatory requirements
• Biomarker-driven or precision medicine trials (complex data capture)

Step 4: Technology Landscape

Map the account's clinical technology ecosystem:

Current EDC / CDMS:

• Search for: "[company name]" Medidata OR Rave OR Veeva OR "Oracle Clinical" OR Castor OR IQVIA OR Signant OR EDC
• Check job postings for required system experience
• Look for vendor press releases mentioning the company as a customer
• Check conference presentations where they may reference their systems

Adjacent Systems (map the ecosystem Talosix would integrate with):

• CTMS (Clinical Trial Management System)
• eTMF (Electronic Trial Master File)
• RTSM/IRT (Randomization and Trial Supply Management)
• Safety / Pharmacovigilance database
• ePRO/eCOA (Electronic Patient-Reported Outcomes)
• LIMS (Laboratory Information Management)
• Data analytics / visualization tools
• Regulatory submission tools (eCTD)

Technology Maturity Assessment:

• Cloud adoption level (cloud-native, cloud-hosted, on-premise)
• Integration maturity (point-to-point, middleware, API-driven)
• Data strategy (centralized data lake, federated, siloed)
• Innovation indicators (AI/ML adoption, RPA, advanced analytics)

Vendor Contract Intelligence:

• Estimated contract start dates (from press releases, implementation announcements)
• Typical renewal cycles (3-5 years for enterprise EDC)
• Estimated renewal window
• Multi-vendor vs. single-vendor strategy

Step 5: Organizational Structure and Stakeholder Map

Build a comprehensive stakeholder map organized by influence and function:

Stakeholder Tiers:

Tier 1 -- Decision Makers (budget authority, final sign-off):

Name	Title	Tenure	Background	Priorities	Approach
	VP/SVP Clinical Operations
	VP/SVP Clinical Data Management
	CTO / VP IT

Tier 2 -- Influencers (shape requirements, evaluate vendors):

Name	Title	Tenure	Background	Priorities	Approach
	Director Data Management
	Director Clinical Systems
	Head of Quality/Compliance

Tier 3 -- Champions (daily users, internal advocates):

Name	Title	Tenure	Background	Priorities	Approach
	Clinical Data Managers
	Biostatisticians
	Clinical Research Associates

Tier 4 -- Blockers / Gatekeepers:

Name	Title	Tenure	Background	Priorities	Approach
	Procurement / Vendor Management
	IT Security
	Legal

For each stakeholder, use WebSearch to find:

• LinkedIn profile information
• Published content (articles, presentations, interviews)
• Conference appearances
• Professional background and previous companies
• Known technology preferences or vendor relationships

Step 6: Competitive Vendor Analysis (Account-Specific)

Determine which vendors currently serve this account and assess the competitive landscape:

• Incumbent EDC vendor: Identify with confidence level (Confirmed/Likely/Unknown)
• Relationship health: Look for public praise, complaints, case studies, or neutral mentions
• Other clinical technology vendors: Map the full vendor ecosystem
• Vendor consolidation trends: Is the account consolidating vendors or diversifying?
• Budget environment: Expanding tech spend or cost-cutting?

Step 7: Pain Points and Opportunities

Synthesize research into specific, evidence-based pain points:

Operational Pain Points:

• Study build timelines (are they publicly discussing speed-to-database-lock?)
• Data quality metrics (any regulatory findings, audit observations?)
• Site burden complaints (from investigator surveys, conference talks)
• Scaling challenges (rapid trial portfolio growth straining current systems)

Strategic Pain Points:

• Digital transformation initiatives (mentioned in annual reports, press releases)
• Regulatory compliance gaps (warning letters, 483 observations)
• Competitive pressure (losing trials to faster competitors)
• Cost reduction mandates (public statements about operational efficiency)

Technology Pain Points:

• Integration challenges (manual data transfers, reconciliation issues)
• User adoption issues (high training burden, workflow friction)
• Scalability limitations (system performance, multi-study management)
• Innovation gaps (inability to support decentralized trials, advanced analytics)

For each pain point, provide:

• Evidence (source and link)
• Severity estimate (Critical / High / Medium / Low)
• Talosix relevance (how specifically Talosix addresses this)

Step 8: Account-Specific Messaging Pillars

Based on the research, define 3-4 messaging pillars tailored to this account:

Each pillar should include:

• Pillar name: A concise theme (e.g., "Accelerating Database Lock")
• Account evidence: Why this resonates for THIS account specifically
• Key message: One sentence that captures the value proposition
• Supporting proof points: 2-3 data points, case studies, or capabilities that substantiate the message
• Persona relevance: Which stakeholders this pillar resonates with most

Step 9: Engagement Strategy

Provide a recommended engagement plan:

Entry Strategy:

• Recommended first contact and why
• Opening angle (which pain point or opportunity to lead with)
• Channel preference (email, LinkedIn, event, mutual introduction)

Multi-Threading Plan:

• Sequence for engaging additional stakeholders
• How to create internal momentum (e.g., arm a champion with content)
• Executive-to-executive engagement opportunities

Content and Event Plays:

• Relevant upcoming conferences or events where engagement could happen
• Content assets to share with each persona
• Custom content to create for this account (one-pager, ROI analysis, technical brief)

Timeline:

• Week 1-2: Initial outreach and research validation
• Week 3-4: Multi-stakeholder engagement
• Month 2: Value demonstration (pilot discussion, technical deep dive)
• Month 3: Proposal and evaluation support

Step 10: Output Format

Deliver the complete ABM package:

# ABM Intelligence Package: [Company Name]

**Prepared**: [Date]
**Account Tier**: [1/2/3 based on ICP fit and opportunity size]
**Estimated Deal Size**: [Range based on trial volume and scope]
**Engagement Stage**: [New/Aware/Engaged/Evaluating/Negotiating]

## Executive Summary
[3-5 sentences capturing the opportunity, key signals, and recommended approach]

## Company Profile
[Comprehensive overview]

## Clinical Trial Pipeline
[Detailed analysis with tables]

## Technology Landscape
[Current stack, integration map, vendor relationships]

## Stakeholder Map
[Tiered stakeholder tables with approach recommendations]

## Competitive Position
[Incumbent analysis, relationship health, switching triggers]

## Pain Points & Opportunities
[Evidence-based analysis with severity and Talosix relevance]

## Messaging Pillars
[3-4 tailored pillars with evidence and persona mapping]

## Engagement Strategy
[Entry strategy, multi-threading plan, timeline]

## Open Questions
[What we still need to learn, and how to learn it]

## Sources
[Numbered list of all sources consulted with URLs]

Research Quality Standards

• Every factual claim must have a source. Unsourced claims must be flagged as "[Estimated]" or "[Inferred]".
• Distinguish between confirmed information and educated inferences.
• Prioritize recent information (last 12 months). Flag anything older than 2 years.
• If critical information is unavailable, explicitly state the gap and suggest how to fill it.
• Cross-reference multiple sources for key facts (especially current EDC vendor and trial counts).
• Check for any existing research in the local workspace before starting fresh to build on prior work.