How to Clean Salesforce Data: The Complete Guide
Your Salesforce instance has years of accumulated data problems. Here's how to systematically clean it up.
Practical guides on CRM data cleaning, Salesforce and HubSpot data quality, and the operations work that nobody wants to do (but everyone needs done).
Your Salesforce instance has years of accumulated data problems. Here's how to systematically clean it up.
Duplicates waste sales time, mess up reporting, and make automation unreliable. Here's how to fix them.
Bad emails destroy deliverability and waste sales time. Here's how to validate and keep your database clean.
ZoomInfo costs $30K+/year. Here are practical alternatives for enriching your contacts and accounts.
VP Sales, Vice President of Sales, Sales VP. Here's how to standardize so routing and reporting work.
Acme Corp, ACME, Acme Inc. Same company, four records. Here's how to normalize for deduplication.
You suspect your CRM data has problems, but how bad is it? Here's how to run a comprehensive audit.
Migrating to a new CRM is the perfect time to clean your data. Don't bring your mess with you.
Your HubSpot portal has problems you can see and problems you can't. Here's how to find and fix them.
Every duplicate splits your engagement history in half. Here's how to merge without losing data.
Every invalid email costs you twice: wasted billing and damaged sender reputation. Here's how to clean them.
You're paying for contacts who bounced years ago or haven't opened an email since the pandemic.
Contacts without company associations are invisible to account-based reporting and automation.
Lifecycle stages that haven't been updated in years tell you where people were, not where they are.
Half your contacts are missing phone numbers. Here's how to enrich them without paying $30K for ZoomInfo.
Contact data doesn't stay accurate. Here's what decay looks like and what to do about it.
Most ICPs are built on intuition. Here's how to build one based on what your data actually shows.
An unexpected ICP finding: the size of a prospect's RevOps team predicts their value as a customer.
Contacts without emails are dead weight. Here's how to find missing emails and get them into outreach.
Leads going to the wrong reps? The routing logic isn't the problem. The data feeding it is.
Your model says a lead is hot. Sales says it's not. The model isn't wrong. The data is incomplete.
You built the target list, set up campaigns, aligned teams. Pipeline hasn't moved. It's your account data.
Open rates dropping, bounce rates climbing. Before you blame the ESP, look at your contact data.
Attribution is only as good as the data feeding it. Duplicates and broken tracking break your reports.
Your reps are spending 20-30% of their time on data tasks. Here's how to measure it and fix it.
Your marketing data has problems you can see and problems you can't. Here's how to find and fix them.
Your CRM data is probably worse than anyone is telling you. Here's how it affects revenue.
Your data is decaying. The question is: how fast? Here's how to calculate your actual decay rate.
Most data quality metrics are vanity metrics. Here are the ones that predict operational problems.
You don't have headcount for a data governance team. Here's how to build a process that works anyway.
Bad data costs more than you think. Here's how to calculate the actual financial impact.
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