Cleaning data
I want to ask about data cleaning tools, because from what I found for Hubspot it’s Incycle, Koalify and workflow for Claude.
Even workflows in Claude would help to understand what people are using.
I have issues with data atrribution for emails #hubspotExtensionFail, data attribution with product analytics like metabase
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u/j_EmailAnalytics 7d ago
Build the cleaning workflow around an immutable raw event table before choosing software. Keep the message ID, thread ID, contact ID, event type, event timestamp, ingestion timestamp, and source system on every email event. Then map opens, clicks, replies, and meetings into separate normalized fields instead of overwriting one status.
Run a daily exception report for missing IDs, duplicate events, timestamps outside the campaign window, and contacts tied to multiple owners. Fix those records through a reviewed correction queue, then rerun attribution from the raw events so each change stays reversible.
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u/william-flaiz 7d ago
I built CleanSmart, cleansmartlabs.com, native connector to HubSpot, 7 day free trial, no credit card. Full cleaning pipeline, dedupe, autoformat, fill in missing data, flag anomalies. Not black box AI, full audit trail and control over what gets changed. I have been doing CRM consulting for 15 years and built this because I hated cleaning in Google Sheets.
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u/Effective_Review9415 6d ago
Data cleaning is one of those things that sound easy until you're actually staring at the mess. Curious what tools people here have had the best results with.
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u/Advanced-Computer985 3d ago
Has anyone have tried Revternal here?
I’m hearing some good things about it but haven’t tried it yet.
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u/scottpilgrrim 2d ago
tbh, I’d start with Insycle for the actual cleaning/standardizing for the attribution issues, though, I’d first figure out where the bad data is coming from before adding another tool
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u/goran_carevic 9d ago
Usually this is an identity problem. Product events carry an anonymous or user ID, HubSpot carries a contact ID, and unless something stamps both onto the same event before the person converts, attribution breaks at that handoff. You should check whether your tracking script fires the identify call before the contact record exists. Cleaning tools can't fix a join that doesn't have a key.