AI Prompts for Account Prioritization

Account prioritization answers a capacity question: a rep can work a finite number of accounts properly, so which ones get that attention? Fit alone is not enough — an ideal-fit account with no buying signal and no way in is a worse use of the week than a good-fit account with a live trigger and a warm introduction. The useful model combines fit, intent and reachability, and it is honest about capacity.

These prompts tier a list on those three dimensions, build the matrix that assigns treatment by tier, and turn it into a capacity plan per rep. They work with your list and your signals; the model can structure the scoring but should mark every signal it cannot verify.

Before you use these

Have these ready to replace the highlighted [variables]:

• Target list with ICP score or fit tier
• Intent and trigger signals per account (hiring, funding, tech changes, website activity, prior engagement)
• Reachability: existing contacts, mutual connections, prior relationships, past opportunities
• Rep capacity (accounts per rep by tier) and territory rules

The prompts

• 1. Tier accounts by fit, intent and reachability
• 2. Build the prioritization matrix and treatment rules
• 3. Allocate rep capacity to accounts

1. Tier accounts by fit, intent and reachability

Act as a sales operations analyst tiering target accounts.

Accounts: [paste: company, ICP fit score or tier, intent signals (with source and date), triggers, existing contacts, mutual connections, past opportunities and outcome, current vendor if known]
Scoring guidance: [how we weight fit vs intent vs reachability; signal recency window]

1. Score each account on three dimensions (1–5): fit (from ICP), intent (strength and recency of signals — recent, specific, multiple sources score higher), reachability (warm path, decision-maker contact known, prior relationship).
2. Composite tier: A (pursue now), B (pursue this quarter), C (nurture), D (deprioritize) using the stated weights. Show the rule.
3. For every A and B account, list the evidence behind the intent and reachability scores. Mark signals as verified (source given) or claimed.
4. Flag accounts with high fit but no intent or path — these go to a nurture and monitoring list, not outbound.
5. Flag accounts with strong intent but poor fit — the tempting distractions.
6. Summary: count and share per tier, and the ten accounts to work first with the one-line reason for each.

Do not infer intent from company size or prestige. If a signal is older than the recency window, discount it and say so.

2. Build the prioritization matrix and treatment rules

You are defining treatment rules by account tier for [team].

Tiers: [definitions and counts]
Plays available: [e.g. executive-to-executive outreach; 1:1 researched multi-channel sequence; semi-personalized sequence; marketing nurture; event invitation] with rough effort per account for each
Team: [SDRs, AEs, marketing support, executive sponsors available]

1. For each tier: the play, the channels, the depth of personalization (research hours per account), the cadence, the owner, and the effort per account per month.
2. Total effort per tier and per rep given the counts — check it against capacity and adjust the tier thresholds if it does not fit.
3. Entry and exit rules: what moves an account up a tier (new signal, engagement) or down (no response after the play completes, disqualifier found), and how often the list is re-tiered.
4. Handoffs: when an account moves from SDR to AE, from nurture to outbound, and what information travels with it.
5. Measurement: response rate, meeting rate and pipeline created per tier, so the matrix can be corrected.
6. The two most common ways this breaks (everyone works A accounts and ignores B; C accounts never get re-scored) and the control for each.

Present as a matrix plus rules. If the counts exceed capacity, say which tier to cut rather than diluting all of them.

3. Allocate rep capacity to accounts

Act as a sales manager allocating named accounts to reps.

Tiered accounts: [list with tier, territory/segment, current owner if any]
Reps: [name/role, territory, capacity in accounts per tier, current pipeline load, strengths (industry, deal size)]
Rules: [ownership constraints, existing relationships to preserve, fairness principles]

1. Allocate accounts to reps respecting territory rules and existing relationships, then balancing potential (tier mix and estimated pipeline value) across reps within a stated tolerance.
2. Show per rep: number of accounts by tier, estimated potential, and the capacity used.
3. Identify accounts that cannot be covered at their tier's treatment level and propose the option: downgrade treatment, move to marketing nurture, or add capacity.
4. Balance check: the spread between the strongest and weakest allocation, and the swaps that would reduce it.
5. Conflicts: accounts claimed by more than one rep and the resolution rule applied.
6. Review: what is measured per rep per quarter to test whether allocation, not effort, explains differences in results.

Present as an allocation table and a one-paragraph rationale per rep. Do not exceed stated capacity.

Related prompts

• Ideal Customer Profile (ICP) Definition
• Sales Territory Planning
• Buying Signals and Trigger Event Analysis
• Prospecting Strategy
• Account Research
• Strategic Account Planning

Logical next step

After this, most sales teams move on to Ideal Customer Profile (ICP) Definition.

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