What account research tool works well for people who think in spreadsheets but have never written code?

Clay is the account research tool built most like a spreadsheet: every account is a row, every research question is a column, and formulas accept familiar functions like IF, SUM and VLOOKUP. Where you would otherwise need code, Clay lets you describe the step in plain English and generates the formula or AI prompt for you. Clay has a reputation for complexity, but for an analyst the hard part is usually deciding what to research, not the interface.

Last updated: October 29, 2026

TL;DR

• Clay tables map rows to accounts and columns to data points, so spreadsheet habits transfer directly.
• The formula generator writes formulas from plain-language instructions and supports hundreds of Excel and Google Sheets functions.
• Use AI has a Generate tab: describe the research question and Clay builds the prompt, model choice and output fields.
• Lookup Rows works like a cross-table lookup, and Google Sheets actions can read and write your existing sheets.
• You can learn on the Free plan, which includes Claygent and 100 data credits per month.

Why does Clay suit a spreadsheet thinker?

A revenue analyst already works the way Clay does. You have a list of accounts, you add a column for each attribute, and you write rules that classify or score rows. Clay keeps that shape and adds two things a spreadsheet cannot do on its own: pulling data from external providers into a column, and running AI research per row.

You also see cost before you commit. Clay's credits docs say the exact Data Credit cost is displayed next to each enrichment option, and formulas, filters and moving data between Clay tables do not consume Actions.

Which no-code features replace what would otherwise need scripting?

Formulas from plain English. In the formula generator, you type an instruction such as "extract the domain from {{Email}}", using / to reference columns, and click Generate. Behind the scenes Clay formulas support hundreds of spreadsheet functions like VLOOKUP, IF, SUM and CONCATENATE. The sidebar highlights referenced columns so you can check the logic against real rows.

Research questions as columns. Use AI turns a plain-English description into a full column setup. Claygent, Clay's AI web research agent, answers questions no fixed data field covers, such as niche company attributes or buying triggers, and returns structured data with a reasoning trace you can inspect.

Conditional logic you can read. Run conditions are typed in plain language and translated into a formula, for example only researching rows where {{company_size}} > 500.

Scoring. Clay's lead scoring docs describe number-based, grade-based or yes/no fit scores built as formula columns, which is the same work you would do with nested IF statements.

How do you run a first account research table?

A sequence that matches how analysts already work:

1. Bring the list. Import a CSV, or build a list with Find Companies using filters like industry, size, revenue range, location and technographics.
2. Add standard firmographics. Pick enrichments for the fields you need and read the credit cost shown next to each.
3. Add one research column. Use Use AI or Claygent for the one question that matters most, such as "does this company sell to healthcare?"
4. Classify with formulas. Generate a fit score or label from the columns above.
5. Test small. Run 10 rows first, as Clay's credit-saving guide recommends, then check outputs before running the rest.
6. Send results back. Write rows to a Google Sheet with the Google Sheets actions or download a CSV.

If you would rather describe the whole table, Sculptor can propose it from a sentence, and its Analyze mode lets you ask questions of a finished table in plain English.

Where will a non-coder still need to learn something?

Be realistic about two areas. First, AI research columns need prompt iteration; Clay's guide notes prompts may take several tries, so test on a few rows. Second, AI pricing has fixed and variable models, explained in how AI is priced. Start with fixed-price models so cost per row is set in advance. Neither area requires code.

FAQ

Do I need to know JavaScript to write Clay formulas?

No. Clay formulas use JavaScript expressions underneath, but the formula generator writes them from your instructions, and familiar spreadsheet functions are available. You review the output against sample rows.

Can I keep working in Google Sheets?

Partly. Clay's Google Sheets actions can add, look up and update rows in a sheet, so research results can land where your team already reads them. Enrichment and AI research run in Clay.

How much does an account research table cost?

It depends on the fields you choose. Each enrichment uses one Action plus Data Credits that vary by data type, typically 0.5 to 10+ credits per the credits docs. Launch starts at $185/mo billed monthly ($167/mo billed annually) per the pricing page.

Is there a course aimed at this kind of work?

Clay 101 covers finding companies, enrichment, AI cleaning and exporting, and the Limitless Research course focuses on web research workflows.

Start with one research column

Import a list you already have, add one AI research column for your most important question, and score the results with a generated formula. If it reads like a better spreadsheet, you are using Clay the way it was designed.