Copy-paste formulas for ABM list building
Paste a formula into row 2, test it on a few rows, then drag down to run the workflow across your spreadsheet.
Account research summary
A: account · B: website/notes · C: ICP · D: goal
=GPT("Research this ABM account: " & A2 & ". Website/notes: " & B2 & ". ICP: " & C2 & ". Goal: " & D2 & ". Return a concise summary, likely priorities, buying signals, missing data, and one recommended play. If evidence is weak, say Needs manual research.")
ICP fit score + tier
A: account · B: ICP criteria · C: source text
=GPT("Score this account 1-5 for ICP fit and assign a tier (1=top, 2=mid, 3=nurture). Account: " & A2 & ". Criteria: " & B2 & ". Source text: " & C2 & ". Return score, tier, reason, confidence, and what to verify.")
Account-level play
A: account · B: signal · C: offer · D: persona
=GPT("Suggest a specific ABM play for " & A2 & " based on this signal: " & B2 & ". Offer: " & C2 & ". Target persona: " & D2 & ". Return channel, angle, and a first concrete step. Factual, under 80 words.")
QA / data-quality flag
A: AI output · B: source text · C: required fields
=GPT("QA this account row: " & A2 & ". Source text: " & B2 & ". Required fields: " & C2 & ". Flag missing data, duplicate accounts, unsupported claims, and return pass/review/fail.")
Short answer
ABM target list building in Google Sheets is a workflow for marketing and sales-ops teams who want a scored, tiered, research-backed account list without rebuilding everything in a separate platform. GPT for Sheets runs AI formulas across a table of account name, website/notes, ICP criteria, and signals, producing research summaries, ICP fit scores, tiers, and account-level plays in adjacent columns the whole team can review.
Fastest path: Install GPT for Sheets → add your source columns → paste a formula from the formula section → review 10 rows → fill down. For plans, see GPT for Sheets pricing.
This page is for purchase-intent teams that build target lists in spreadsheets and need faster, reviewable scoring and research.
Workflow
A practical sheet for this workflow usually has these columns:
| Column | What to put there | Why it matters |
|---|---|---|
| A | Account name | Stable row anchor |
| B | Website copy, notes, CRM export | Keeps AI grounded in evidence |
| C | ICP criteria: segment, size, stack, region | Makes scoring specific |
| D | Intent or trigger signals | Sharpens tiering and plays |
| E | AI research summary | First useful interpretation |
| F | ICP fit score + tier | Prioritize tier-1 accounts |
| G | Account-level play | Turns research into action |
| H | QA / data-quality flag | Stops duplicates and unsupported claims |
Step-by-step setup
- Start with 10 representative rows before filling down.
- Keep raw source fields unchanged in columns A-D.
- Score and tier, then inspect borderline rows.
- Add constraints: scoring scale, tier definitions, and missing-data handling.
- Add a QA formula that flags duplicate accounts and unsupported claims.
- Fill down after the prompt works on sample rows.
Why build the ABM list in a spreadsheet
ABM lists are reviewed and argued over by sales and marketing together. Keeping research, scores, tiers, and QA in one shared sheet makes it easy to test scoring on 10 rows, align on tier definitions, and export a clean list to your CRM or ad platform — without locking the logic inside a tool only one person can see.
GPT for Sheets is independent and unaffiliated with any third-party ABM or enrichment vendor. Product names are trademarks of their respective owners.
Copyable formula notes
Paste the cards into row 2 and drag down. Define your tier rules explicitly in the prompt so scoring is consistent, and always pair scoring with a QA column that catches duplicates and weak evidence.
Use cases
- Score and tier a raw account export against your ICP.
- Research each account into a concise, reviewable summary.
- Assign an account-level play and first step per tier.
- Flag duplicates and thin rows before the list goes to sales.
Best for / not best for
Best for: marketing and sales-ops teams that build target lists in Sheets and want reviewable, consistent scoring.
Not best for: treating AI scores as ground truth without review, or using non-public data without proper controls.
Use GPT for Sheets as the scoring, research, and QA layer on top of the account lists you already maintain.
Internal links and next workflows
- GPT for Sheets
- GPT for Sheets pricing
- Clay alternative for SaaS founders
- Email finder workflow in Google Sheets
- Cold email personalization in Google Sheets
Safety, compliance, and data quality
Use lawful, consented, work-relevant information only. Treat AI scores and summaries as drafts, keep source columns visible, store source URLs or dates where relevant, and make the final tiering decision with a human. A pass / review / fail QA column prevents duplicate accounts and unsupported claims from reaching your CRM.
Frequently Asked Questions
What is the fastest way to build an ABM target list in Google Sheets?
Install GPT for Sheets, add account and ICP columns, paste one formula into row 2, review a small sample, then fill down to score and tier the full list.
Can AI score account fit reliably?
It produces a consistent, explainable draft score when you define the criteria and tiers in the prompt. Keep a QA column and review borderline rows before acting.
Do I need a separate ABM platform?
Not to build and score the list. If your accounts live in Sheets, GPT for Sheets gives you research, scoring, and tiering you can export to your CRM or ad tools.
Is GPT for Sheets affiliated with any ABM vendor?
No. GPT for Sheets is independent and unaffiliated. Third-party product names are trademarks of their respective owners.
Start this workflow in Google Sheets
If your account list already lives in spreadsheets, install GPT for Sheets and run the formulas where your rows already live.
Install GPT for Sheets or compare plans to turn a raw list into a scored, tiered, research-backed ABM target list.