{"id":19145,"date":"2025-08-05T21:41:33","date_gmt":"2025-08-05T21:41:33","guid":{"rendered":"https:\/\/teamheller.com\/?p=19145"},"modified":"2025-08-21T17:26:40","modified_gmt":"2025-08-21T17:26:40","slug":"deduplication-best-practices-for-nonprofits","status":"publish","type":"post","link":"https:\/\/teamheller.com\/resources\/blog\/deduplication-best-practices-for-nonprofits","title":{"rendered":"Deduplication best practices for nonprofits"},"content":{"rendered":"

 <\/p>\n

So you\u2019re preparing for a new CRM but suddenly you realize your data is a bit messier than expected\u2014welcome to the club. We see this all the time. A new system rollout often shines a light on long-standing data issues, and deduplication becomes a top priority.<\/p>\n

Salesforce gives you a decent starting point with four standard Matching and Duplicate Rules\u2014for Accounts, Person Accounts, Contacts, and Leads. But if you\u2019ve worked in a nonprofit or higher ed environment, you already know: \u201cstandard\u201d rarely fits your reality.<\/p>\n

Where Salesforce defaults help\u2014and where they don\u2019t<\/h2>\n

Salesforce\u2019s native deduplication tools are helpful, but they\u2019re not comprehensive. For example, you can\u2019t create Matching Rules for Cases or Products yet (yes, we\u2019re watching those IdeaExchange threads<\/a> too). And while you can build Matching Rules on custom objects, there are still limitations\u2014especially when it comes to cross-field matching or automating merges.<\/p>\n

For organizations with tight budgets, third-party tools can feel out of reach. But when you\u2019re managing thousands (or millions) of records, the cost of bad data can be even higher.<\/p>\n

Tailoring deduplication to your org<\/h2>\n

Every implementation we do at Heller is different. We\u2019ve worked with clients who track multiple email or phone types\u2014personal, business, other\u2014and need custom Matching Rules to reflect that. A typical rule might look like:<\/p>\n

“`<\/span><\/p>\n

(Contact: Personal_EmailExactMatchBlank = FALSE) OR<\/span><\/p>\n

(Contact: Business_EmailExactMatchBlank = FALSE) OR<\/span><\/p>\n

(Contact: Other_EmailExactMatchBlank = FALSE)<\/span><\/p>\n

“`<\/span><\/p>\n

We often help clients implement \u201cNever Merge\u201d logic\u2014Boolean fields that flag a record as the one that should always win in a merge, or relationship objects that prevent certain records from being merged at all. The Relationship object is an example where a “Never Merge” field indicator could signify two records that should never be merged (ie: two Contacts with the same name). The object alone doesn’t prevent the merge nor does it exist for the purpose of deduplication.<\/p>\n

We have also built “External System ID” custom objects, so clients don’t have to fear losing important IDs through a merge. Typically, these data points live flat on the Contact or Account record, and would therefore be deleted during the merge.<\/p>\n

These are small tweaks that make a big difference in preserving data integrity.<\/p>\n

Choosing the right dedupe tool<\/h2>\n

We regularly evaluate deduplication tools and provide clients with tailored fit and gap scoring matrices. Heller’s evaluations are a great guide that clients can bring into vendor demos to ensure the right questions are being asked and addressed.<\/p>\n

Here\u2019s a quick rundown of four tools we often recommend:<\/p>\n

DemandTools<\/h3>\n

Great for large datasets and power users. It\u2019s partially cloud-based but requires a local install for full functionality. Modules like Dedupe, Import, Modify, Tune, and Schedule are especially popular. Find out more about Validity’s DemandTools<\/a>.<\/p>\n

Cloudingo<\/h3>\n

Fully cloud-based and easy to configure. It offers real-time merging, address validation, and an import tool that checks for duplicates before they hit your CRM. More on Cloudingo<\/a>.<\/p>\n

DataGroomr<\/h3>\n

Uses machine learning to identify duplicates and improve over time. It\u2019s scalable, intuitive, and integrates directly with Salesforce. DataGroomr basics<\/a>.<\/p>\n

Duplicate Check<\/h3>\n

Embedded within Salesforce<\/a>, making it accessible to a broader range of users. It supports both small and large data volumes and offers flexible processing options.<\/p>\n

Let your data strategy govern your dedupe approach<\/h2>\n

Deduplication isn\u2019t just a checkbox\u2014it\u2019s a strategy. Clean data supports better engagement, smarter decisions, and smoother operations. Whether you\u2019re using Salesforce\u2019s standard tools or investing in a third-party solution, the key is to align your approach with your organization\u2019s unique needs.<\/p>\n

And if you\u2019re feeling overwhelmed, don\u2019t worry. We\u2019ve seen it all\u2014from tangled custom fields to merge logic gone sideways\u2014and we\u2019re here to help<\/a> you navigate it.<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

  So you\u2019re preparing for a new CRM but suddenly you realize your data is a bit messier than expected\u2014welcome to the club. We see this all the time. A new system rollout often shines a light on long-standing data issues, and deduplication becomes a top priority. Salesforce gives you a decent starting point with […]<\/p>\n","protected":false},"author":40,"featured_media":19146,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[136],"tags":[608,609,610,611,612,613,614,159,615,196,616,208,617,248,618,267,619,562,605,606,607],"ppma_author":[620],"class_list":["post-19145","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-data-integrity","tag-matching-rules","tag-merge-logic","tag-external-system-id","tag-third-party-tools","tag-demandtools","tag-cloudingo","tag-salesforce","tag-datagroomr","tag-nonprofit-crm","tag-duplicate-check","tag-heller-consulting","tag-data-testing","tag-data-quality","tag-user-adoption","tag-crm-implementation","tag-crm-best-practices","tag-data-strategy","tag-deduplication","tag-nonprofit-data","tag-data-hygiene"],"acf":[],"yoast_head":"\nDeduplication best practices for nonprofits - Heller Consulting<\/title>\n<meta name=\"description\" content=\"Heller Consulting experts weigh in on the best practices and tools for nonprofit data deduplication in Salesforce.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/teamheller.com\/resources\/blog\/deduplication-best-practices-for-nonprofits\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deduplication best practices for nonprofits\" \/>\n<meta property=\"og:description\" content=\"  So you\u2019re preparing for a new CRM but suddenly you realize your data is a bit messier than expected\u2014welcome to the club. 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