The quality of your prospect outreach depends on the accuracy of your CRM data. Before importing a batch of leads, perform comprehensive quality checks to ensure data integrity, such as header mapping, required fields, encoding consistency, date formats, picklist conformity, duplicate detection, contact verification, domain normalization, and digital consent flags.
Clean CRMs prevent sales teams from having to build their own data management systems, which only leads to delays and silos. Turn your CRM into a single source of truth (SSOT) that multiple departments can rely on to create accurate prospect profiles.
Check to make sure that every import file aligns with the property names (or custom fields) in your CRM, verifying that first-row column headings match the field tags exactly. Otherwise, unmapped and misaligned headers create confusion, which can lead to improper data storage and even data loss.
To save a contact, your CRM should require specific fields, such as "First Name," "Last Name," and "Email." Mandate expanded definitions to include:
If you're researching the best AI outreach tools for your sales team, scan your datasets for empty cells. Filling in those missing values will allow you to leverage AI's hyper-personalization capabilities to the fullest, instead of relying on generic outreach messages.
Since text encodings may vary between operating systems and file exports, always save and export your contact spreadsheets in UTF-8 format. This will prevent your CRM system from turning special characters and accents, such as é and ñ, into unreadable text.
Avoid deviating from a unified date format. Using both MM/DD/YYYY and DD/MM/YYYY formats can cause data parsing failures in your CRM system. Standardize your date columns to the ISO 8601 format, which reads as YYYY-MM-DD.
Your CRM picklists, or dropdown menus, lock in approved string values, such as "New York" vs. "NY" in your system. However, mismatched string values can create duplicate picklist options, which break reporting conformity and can negatively affect lead routing. Cross-reference spreadsheet values with string values before setting predefined dropdown menu options.
Keeping duplicate records in your CRM system can lead to redundant outreach campaigns, causing prospects to unsubscribe from emails or disengage with sales funnels altogether. You can avoid these scenarios by creating unique identifiers for every email address, company domain, and phone number, and merging duplicate information through a process called deduplication.
Importing invalid contact information into your CRM can damage your email sender reputation, causing your emails to be labeled as spam. It also skews your bounce rates and, ultimately, your outreach metrics.
Verify all email contacts, checking for valid domains, disposable addresses, and potential hard bounces. Standardize phone numbers in an E.164 format (i.e., +15551234567) to ensure click-to-call integrations function properly.
Similarly, clean up all URLs and email domains, correcting broken or misspelled addresses. Remove subdomains and trailing slashes.
Incorrect domains can cause sales teams to go hunting for the right company domains, which delays account-based marketing (ABM) campaigns and erodes trust in your SSOT.
Ensure all contacts in your CRM have verified updated digital consent, aligning with global data privacy regulations, such as GDPR, CCPA, and CAN-SPAM.
Whenever a lead opts out of email communications, their opt-out status should be immediately updated in the CRM. Moreover, IP addresses that consent to opt in to communications should have documented consent timestamps. Failing to follow these steps can result in compliance penalties.
A clean CRM can prevent a cascade of bounced emails, abandoned accounts, and outreach delays. Turn these nine data quality checks into a comprehensive checklist, arming all departments, from sales to marketing, with a reliable and relevant SSOT.
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