Map fields, filter rows, format prices, and strip HTML. Combine multiple sources into one feed. Build if/then/otherwise rules visually, preview the output on real data, and run it on schedule. No code required.
product_feed.csv · 12,400 rows 9,614 rows • 2 rules applied Transformation capabilities
Marketing needs "Sale" appended to titles during promotions. Finance needs prices formatted differently. Your product manager wants HTML stripped from descriptions. Today, someone does this by hand in a spreadsheet. And they make mistakes.
One extra column or missing row shifts everything. You won't notice until the feed is already delivered wrong.
Prices in different formats, HTML in text fields, mismatched categories, "XL" vs "Extra Large". Every source has its own quirks.
Every feed change means a developer ticket. A new column, a format tweak, a value mapping. The feedback loop is slow, expensive, and frustrating.
One feed is manageable. Ten feeds across five markets with different formats, languages, and channel requirements? That's a full time job nobody signed up for.
7 rules • Priority ordered • Live preview
From messy source data to clean, structured output.
Map source columns to output columns visually. Rename product_title to title, reorder with drag and drop, and set defaults for missing data.
Add conditions (when), actions (then), and fallbacks (otherwise). Chain rules in priority order. Use operators like contains, starts with, greater than, pattern matching, and more.
Test rules against real data in a live preview. See how every transformation affects actual rows before saving. Then run on schedule or on demand.
A complete toolkit for shaping your data exactly how you need it.
Build if/then/otherwise logic visually. Each rule has conditions (when), actions (then), and fallbacks (otherwise). Drag to reorder priority. No code, no developer tickets.
Combine data from multiple sources into one feed. Merge your product catalog from S3, pricing from FTP, and stock from Google Drive into a single unified output.
Skip products that are out of stock, exclude categories, or keep only rows that match. Equals, contains, starts with, greater than, empty fields, pattern matching, and more.
Anything you'd do to a field in a spreadsheet, done automatically on every row. Format prices, strip HTML from descriptions, map "XL" to "Extra Large", concatenate brand and title, or fill missing values with a default. All visual, no code.
Save rule sets as templates and apply them across multiple feeds. Update once, propagate everywhere. No more rebuilding the same transformations.
Test your rules against real data before saving. See exactly how each transformation affects actual records without touching production output.
Turn messy source values into the ones you actually want. Map "XL" to "Extra Large", vendor codes to category names, or any list of old to new values. Update the table once and every feed using it gets the fix.
Build your transformations once. Let them run on every sync. Spend your time on strategy, not spreadsheet surgery.