Account targeting

Not every target account that looks interesting is worth working now. This prompt uses @Lusha in ChatGPT to compare one account against your best-customer pattern and recommend what to do next.

Your closed-won customers already contain your best ICP clues. This prompt uses @Lusha in ChatGPT to analyze customer patterns, find lookalikes, and build an actionable ICP model.

Not every target account deserves the same next step. This prompt uses @Lusha in ChatGPT to enrich your list, check signals, and recommend which accounts to work now, nurture, review, or exclude.

Your best buyers show who actually moves deals forward. This prompt uses @Lusha in ChatGPT to find similar contacts, verify their roles, score fit, and recommend who to contact first.

Your best customers already show what good-fit accounts look like. This prompt uses @Lusha in ChatGPT to find lookalike companies, score fit, surface signals, and recommend which accounts to target first.

Competitor displacement works best when timing is right. This prompt uses @Lusha in ChatGPT to find competitor-fit accounts, check signals, and identify the best contacts to target first.

A strong ABM campaign starts with the right accounts. This prompt uses @Lusha in ChatGPT to turn a campaign brief into a verified account list with signals, target contacts, and outreach angles.

Your best customers already show you what good-fit accounts look like. This prompt uses @Lusha in ChatGPT to find lookalike companies, enrich them, and prioritize the accounts most worth targeting.

Not every target account deserves the same attention. This prompt uses @Lusha in ChatGPT to enrich a raw account list, check for buying signals, and rank accounts by fit, urgency, and next best action.

You're in a competitive deal. This skill tells you what's changed at the competitor, who's left, what their customers are signaling, and where your displacement angles are.

The Account Intelligence Skill pulls a decision-ready brief on any target account — shaped by whether you're prepping for a QBR, working a competitive deal, or triaging an inbound. Verified contacts, ranked buying signals, and next steps in one pass.

This Claude prompt scores every customer account on five dimensions before the QBR cycle — contact coverage, engagement recency, account signals, renewal proximity, and CS commitment hygiene — using Lusha for contact validation and signal detection, and Gmail for conversation health. Returns GREEN / AMBER / RED per account with a specific recommended action for every RED and AMBER. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt checks every inbound form fill against the ABM target account list via Lusha — a junior contact from a Tier 1 account is a buying signal, not a standard MQL. Finds the account owner, checks for an active deal, surfaces the most senior contact in the buying function, and posts an alert to Slack before anyone routes it as standard inbound. Built on Claude with the Lusha, Gmail, and Slack connectors.

This Claude prompt turns a campaign brief into a verified ABM target list in one pass — Lusha finds accounts matching the ICP, checks buying signals per account, validates the right contacts, and returns a three-tier list ready for paid, outbound, or personalized outreach. The first marketing play in the Lusha Campus library. Built on Claude with the Lusha and Slack connectors.

This Claude prompt creates a structured Confluence customer page when a deal closes — Lusha validates and maps all contacts, Gmail pulls what the customer said the problem was and every promise made in the sales process, and the page lands in the CS Confluence space from day one. The permanent knowledge record that replaces the AE debrief. Built on Claude with the Lusha, Gmail, and Atlassian Confluence connectors.

This Claude prompt scores a new target list against your ICP criteria using verified Lusha firmographic data — headcount, industry, geography, function size, and active signals. Returns a tiered list: STRONG FIT, FIT, PARTIAL FIT, DISQUALIFIED — with the right first contact for every workable account and a one-line reason for every disqualified one. Built on Claude with the Lusha connector.

Stop guessing who to target next. Use your existing closed-won data as a seed to generate hundreds of high-fit lookalike companies and contacts automatically via Lusha’s proprietary matching algorithm.

Enrich an entire list of decision-makers in minutes. All without any LinkedIn tab-hopping, guessing, or bounced emails.

Enrich every new monday.com board with verified company context—no manual field-filling, no “who forgot the firmographics?” cleanup.

Turn a basic Google Sheet into a live company enrichment engine—no manual research, no messy segmentation.