Copy-paste formulas to clean and enrich contacts in Google Sheets
Paste a formula into row 2, test it on a few rows, then drag down. Review outputs before importing to a CRM.
Normalize name and company
A: raw name · B: raw company
=GPT("Normalize for CRM. Raw name: " & A2 & ". Raw company: " & B2 & ". Return cleaned full name (proper case), cleaned legal-ish company name, and a flag if either looks invalid or like a placeholder.")
Standardize job title
A: raw title
=GPT("Standardize this job title for routing and scoring: " & A2 & ". Return a normalized title, a seniority band (IC/manager/director/VP+/C-level), and a function tag (sales, marketing, eng, ops, finance, other).")
Dedupe / match flag
A: this row key · B: candidate match
=GPT("Compare two records and decide if they are the same entity. Record A: " & A2 & ". Record B: " & B2 & ". Return same/different/uncertain, the matching signal, and a confidence level.")
Enrichment summary
A: company · B: domain · C: notes
=GPT("Enrich this account for sales context. Company: " & A2 & ". Domain: " & B2 & ". Notes: " & C2 & ". Return industry, size signal, and one buying signal. If weak, say Needs manual research.")
Short answer
A Dropcontact alternative in Google Sheets uses GPT for Sheets to clean, normalize, and enrich contact data in a single spreadsheet pass: standardize names, companies, and titles; flag duplicates; and add enrichment context — all reviewable before CRM import.
Fastest path: Install GPT for Sheets → paste your export → add a formula below → review 10 rows → fill down → import clean data.
GPT for Sheets cleans and structures the data you provide. It is not a licensed contact database; verify enrichment before relying on it.
Workflow
Cleaning + enrichment in one spreadsheet pass
Data-hygiene buyers usually run cleaning and enrichment as separate steps. In Sheets you can do both in adjacent columns: normalize the raw fields, flag dupes, and append enrichment context, with QA visible the whole time.
| Column | What to put there | Why it matters |
|---|---|---|
| A | Raw name | Row anchor |
| B | Raw company / domain | Grounds enrichment |
| C | Raw title | Drives standardization |
| D | Cleaned name + company | Normalized output |
| E | Standardized title + seniority | Routing and scoring |
| F | Dedupe / match flag | Prevents duplicate imports |
| G | Enrichment summary | Adds context |
| H | QA flag | Blocks bad imports |
Normalize names, companies, and titles
- Start with 10 representative rows.
- Keep raw fields unchanged in A–C.
- Run normalize and standardize formulas, inspect edge cases.
- Run the dedupe/match formula against likely duplicates.
- Add a QA flag, review, then import.
When a dedicated cleaning API still helps
If you need deterministic, repeatable cleaning at very high volume, strict GDPR-grade processing, or guaranteed verified emails, a dedicated cleaning/enrichment API may fit that part better. GPT for Sheets is best for flexible, reviewable cleaning and enrichment on lists you control, especially when rules change often or data is messy in non-uniform ways.
Use cases
- Normalization: clean names, companies, and titles for CRM.
- Deduplication: flag likely duplicate records before import.
- Standardization: map titles to seniority and function tags.
- Enrichment: append industry and size context.
- QA: flag rows that need review.
Best for / not best for
Best for: RevOps and agencies who clean and enrich exports before CRM import and want a flexible, reviewable Sheets workflow.
Not best for: teams needing deterministic high-volume cleaning APIs or compliance-grade verified contact data.
Internal links and next workflows
- GPT for Sheets product page
- GPT for Sheets pricing
- Clean and enrich CSV leads in Sheets
- CSV lead list dedupe + enrichment
- CRM cleanup and deduping
- AI enrichment for CSV exports
Safety, compliance, and data quality
Treat AI output as a draft and review before CRM import. Do not infer sensitive attributes, do not present enrichment as verified contact data, and follow consent and data-handling rules. GPT for Sheets is not affiliated with Dropcontact; Dropcontact is a trademark of its respective owner.
Frequently Asked Questions
Can GPT for Sheets clean and enrich like Dropcontact?
It cleans, normalizes, dedupe-flags, and enriches contact data inside Sheets in one pass. It is not a licensed verified-email database, so verify enrichment before relying on it.
Will it deduplicate my list?
It flags likely duplicate matches with a confidence level so you can review and merge. Confirm uncertain matches manually before deleting records.
How do I start?
Install GPT for Sheets, paste your export, add a formula into row 2, review the output, then fill down and import.
Is it affiliated with Dropcontact?
No. GPT for Sheets is independent and not affiliated with or endorsed by Dropcontact.
Start cleaning and enriching in Sheets
Install GPT for Sheets or compare plans to clean and enrich your list where it already lives.