
Managing Duplicate Records with Salesforce's Native Tools
How Salesforce's built-in Matching Rules and Duplicate Rules work, how to set one up, and the specific record and API limits that cap what they can do alone.
- Salesforce
- Deduplication
Writing and customer stories on Salesforce and Dynamics 365 data quality — deduplication, validation, routing, and what breaks when data drifts.

How Salesforce's built-in Matching Rules and Duplicate Rules work, how to set one up, and the specific record and API limits that cap what they can do alone.

What Salesforce Validation Rules actually check, how to build and test one, and the specific situations — lead conversion, mass transfer — where they don't fire.

A field guide to Salesforce's two native import tools: the Data Import Wizard for smaller jobs, the Data Loader for bulk work, and where each one runs out.

Why organizations look past Salesforce's native tools for premium data solutions: five recurring needs, from complex integration to deeper analytics.

Three scenarios where native Salesforce tools run out: enriching thin records, deduplicating across objects, and migrating data without losing relationships.

Eight criteria for evaluating a Salesforce data quality tool, plus how Seamless.AI and Booksy used deduplication to cut manual merge work to seconds.

Seven recurring problems in Salesforce data management, from duplicate records to thin reporting, and why the AppExchange is where most teams go next.

Plauti and Informatica both validate Salesforce address data. This compares coverage, live validation, integration effort, and pricing, so Salesforce teams can see which tool fits their setup.

NPG, a German media company on Salesforce, cut duplicate customer records with Plauti, automating over 90% of merges and freeing time once spent cleaning data by hand.
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