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Prompt Details

Model
Chat - (gpt-5.6)
Token size
329
Example input
[COMPANY]: SentryGate - compliance automation [TARGET]: 15 mid-size banks [ICP]: Financial services, 200-1000 employees, Heads of Compliance [GOAL]: Book a demo [TIMELINE]: 30 days
Example output
STEP 1 — TARGET ACCOUNT SELECTION 1. Northbridge Capital: Fit 9/10, $50k, audit-heavy. 2. Alpha Bank: Fit 8/10, $50k, new CCO. 3. Beta Fintech: Fit 8/10, $40k, scaling fast. (and so on for 15 accounts) STEP 2 — ABM PLAYS - 1-to-1: Hyper-personalized for top 5. Assets: custom research. Timeline: 2 weeks. - 1-to-few: Personalized for 5 clusters. Assets: case study. Timeline: 3 weeks. - 1-to-many: Programmatic for the long tail. Assets: email sequence. Timeline: 4 weeks. STEP 3 — PERSONALIZATION ANGLES 1. Trigger: New SEC rules. Message: "Here's how 3 banks prepared." 2. Trigger: Audit season. Message: "Cut reporting time by 50%." 3. Trigger: New CCO hire. Message: "Congrats. Here's how we help CCOs." 4. Trigger: Expansion news. Message: "Scaling compliance? Here's how." 5. Trigger: Compliance fines. Message: "Avoid fines. Here's the playbook." STEP 4 — 30-DAY ACTIVATION PLAN - Week 1: Tier 1 outreach (5 accounts). Metric: 2 meetings booked. - Week 2: Tier 2 outreach (5 accounts). Metric: 2 meetings booked. - Week 3: Tier 3 outreach (5 accounts). Metric: 1 meeting booked. - Week 4: Follow-ups + pipeline review. Metric: 3 qualified opportunities. STEP 5 — ABM SCORE Engagement: 9/10. Pipeline: 9/10. Improvement: Add a joint webinar for target accounts.
GPT

B2b Accountbased Marketing System

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GPT-5.6
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Stop wasting budget on leads that never convert. This prompt builds a complete account-based marketing system using the MEDDIC framework and the 1-to-1 personalization structure. You get: a target account list, 3 ABM plays, 5 personalization angles, and a 30-day activation plan. It also scores the ABM on engagement and pipeline likelihood. Built for B2B marketers who want to win target accounts, not collect leads. Works with ChatGPT, Claude, any GPT.
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