Power Query is built into Excel and can do fuzzy matching. ClearSheet is a dedicated cleaning tool that handles fuzzy deduplication, standardization, and enrichment in one pass. Both can find duplicates in your account list, but they approach the problem very differently.
What Power Query Does Well
Power Query is free if you already have Excel, and it's genuinely powerful. The fuzzy matching feature (available in the merge step) lets you join tables on approximate string similarity, which catches typos and minor variations. For someone comfortable with the M language and Power Query's transformation model, it's a capable tool.
It also handles data transformations beyond deduplication: pivoting, unpivoting, splitting columns, changing data types, filtering. If your workflow already lives in Excel and you need repeatable transformations, Power Query's step-based approach means you can build a pipeline once and reapply it to future files.
For files under 200 rows with simple typos ("Coca Cola" vs "Coca-Cola"), Power Query's fuzzy merge often catches what you need without any additional tooling.
Where Power Query Falls Short for Account List Cleanup
Power Query's fuzzy matching requires manual configuration. You set a similarity threshold (0 to 1), choose which columns to match on, and optionally provide a transformation table for known equivalents. Getting these settings right for a real account list takes experimentation. Set the threshold too high and you miss valid duplicates. Set it too low and you get false matches.
The bigger issue is that Power Query's fuzzy matching is pure string similarity. It doesn't understand that "McDonald's Corp" and "McDonalds Corporation" are the same company, or that "IBM" and "International Business Machines" refer to the same entity. It can't handle abbreviations, DBAs, store codes, or the kind of name variations that show up in real business data.
Power Query also doesn't produce a change log. You see the merged result, but there's no record of what matched to what and what changed. If you need to audit the deduplication later or explain what happened to a colleague, you're reconstructing it manually.
There's no address enrichment, no phone standardization, and no way to validate records against an external source. Power Query transforms what's in your file. It doesn't add what's missing.
Performance degrades on larger files. A 5,000-row fuzzy merge can take minutes or hang Excel entirely, depending on the column count and threshold settings.
What ClearSheet Does Differently
ClearSheet runs fuzzy deduplication that goes beyond string similarity. It uses composite scoring across multiple fields (name, address, phone, domain) to identify duplicates that simple string matching would miss. "Bob's Burgers LLC" and "Bobs Burger" match even though the similarity score is low, because the address and phone number confirm it's the same business.
The entire process is automatic. Upload your file, and ClearSheet identifies duplicates, standardizes formatting, and enriches records against Google Places. You see every proposed fix in a preview and approve or reject each one. The cleaned file ships with a structured change log.
Your first 20 fixes are free. After that, each approved fix costs $0.05. No subscription, no Excel expertise required, no threshold tuning.
Comparison
| Dimension | Excel Power Query | ClearSheet |
|---|---|---|
| Price | Free with Excel | $0.05 per fix after 20 free |
| Fuzzy matching | String similarity with manual threshold | Composite scoring across multiple fields |
| Configuration | Manual (M language, thresholds, column mapping) | Zero configuration |
| Change log | Not included | Included with every file |
| Enrichment | None | Google Places integration |
| Large file handling | Degrades past ~2,000 rows | Handles thousands of rows |
When to Use Power Query
Use Power Query when your file is small (under 200 rows), the duplicates are simple typos, and you're already comfortable with Excel's data transformation tools. If you need repeatable transformations for a recurring data pipeline and you know M language, Power Query is a solid choice that costs nothing extra.
Power Query is also the right tool when your task isn't deduplication at all. Column splitting, data type conversions, pivoting, and filtering are all things Power Query handles well and ClearSheet doesn't do.
When to Use ClearSheet
Use ClearSheet when your duplicates go beyond simple typos. Real account lists have abbreviations, DBAs, missing fields, inconsistent formatting, and name variations that string similarity alone won't catch. If you've tried Power Query's fuzzy merge and you're still finding duplicates in your output, ClearSheet's multi-field composite matching is built for exactly that problem.
ClearSheet is also the faster path when you don't want to configure anything. Upload, preview, approve, download. The guide to deduplicating business names walks through the kinds of variations ClearSheet catches automatically.
FAQ
Is Power Query's fuzzy matching good enough for most files? For small files with simple typos, yes. For real business account lists with abbreviations, DBAs, store codes, and inconsistent formatting across thousands of rows, Power Query's string similarity approach typically misses 20-40% of actual duplicates. The ones it misses are usually the hardest to find manually.
Can I use both together? Yes. Some teams run ClearSheet first to handle the deduplication and standardization, then use Power Query for additional transformations specific to their workflow (pivoting, filtering, column restructuring). The tools solve different problems.
Does ClearSheet work with Excel files? ClearSheet accepts .xlsx and .csv files. You upload directly from your computer. No Excel installation or configuration required.
What about the cost difference? Power Query is free with Excel. ClearSheet's first 20 fixes are free, and a typical account list with 100 fixes costs $4. The question is whether the time you spend configuring Power Query's fuzzy matching (and manually catching what it misses) is worth more or less than $4.