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CleanSmart is a no-code CRM data-cleaning platform that deduplicates, standardizes, fills missing values, and flags anomalies. It connects to supported CRMs and commerce platforms or accepts CSV uploads.

About CleanSmart

CleanSmart helps RevOps, marketing operations, and sales operations teams clean CRM data in a single no-code workflow. It processes duplicates, inconsistent formatting, missing values, and suspicious records, with review controls before data is exported or re-imported.

What it does

Connects with HubSpot, Salesforce, Shopify, Mailchimp, and Klaviyo, or accepts CSV uploads.

  • Runs four automated cleaning passes: duplicate detection, format standardization, missing-value prediction, and anomaly detection.
  • Verifies email, phone, and address columns with built-in checks for invalid or disposable emails, malformed phone numbers, and ZIP codes that do not match their city.
  • Lets users approve or reject changes, export a cleaned CSV, or re-import cleaned data into their CRM.
Key features
  • SmartMatch™ identifies likely duplicate records that exact-match tools can miss.
  • AutoFormat™ standardizes phone numbers, names, emails, and addresses.
  • SmartFill™ predicts missing values from patterns in the dataset and flags low-confidence predictions rather than applying them.
  • LogicGuard™ surfaces outliers, such as implausible ages or future birthdays, for review instead of deleting them silently.
  • Automatic field-type detection and column mapping help prepare connected or uploaded data.
  • Real-time cleaning progress and a full audit trail support review of changes.
  • The Contact Verification add-on provides mailbox-level deliverability checks, catch-all risk, phone-line type identification, and USPS address standardization with ZIP+4. What makes it different CleanSmart combines deduplication, standardization, missing-data handling, anomaly review, and validation in one workflow. Its automated passes are designed to keep users in control by surfacing uncertain predictions and anomalous records for review.

Use Cases

  • 1.Deduplicate and standardize contact records before re-importing them into a CRM.
  • 2.Clean a CSV contact list by correcting formatting, identifying missing values, and flagging questionable records.
  • 3.Verify contact data to identify invalid or disposable emails, malformed phone numbers, and inconsistent address details.

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