A lot of people screw up data enrichment. And not in small ways...in big ways. I've walked into instances where: 😱 Recent sales-entered data was being overwritten by stale enrichment data 😱 Instead of setting up an integration, a massive file was imported all at once, into standard fields, without a data back-up....leaving no audit trail and losing historical data 😱 Enrichment was set up to trigger every time a record was created or updated in Salesforce, creating a situation where only 1,000 records or less could be updated at one time without hitting the Salesforce API limits 😱 Enrichment data wasn't standardized, so each vendor was entering in different formats for fields like employee size So, how do you set it up correctly? Here's what it should look like... Typical steps included: 1. Input Stage: Define the entry points for raw data (e.g., web forms, imports, email captures). 2. Cleaning Stage: Build workflows to: 🔺 Standardize formats (e.g., phone numbers, dates, addresses). 🔺 Correct invalid or missing data (e.g., normalize country names to ISO codes). 🔺 Remove duplicates based on unique identifiers (e.g., email or account ID). 3. Enrichment Stage: 🔺 Match records with external datasets to fill gaps. 🔺 Append metadata (e.g., confidence scores, enrichment source). 4. Output Stage: Push cleaned and enriched data back into your CRM or database. Example washing machine flow: 1. Input: New leads enter from web forms or imports. 2. Cleaning: 🔺 Deduplicate by email or company domain. 🔺 Standardize phone numbers to E.164 format. 🔺 Normalize country names to ISO codes. 3. Enrichment: 🔺 Call Clearbit API to append industry, company size, and LinkedIn URL. 🔺 Validate emails with an email verification tool. 4. Output: Push cleaned and enriched data back to CRM, tagging it with the enrichment source and date. Things to consider: 🔻 Typically, you want to enter enrichment data into separate custom fields. This is duplicative, but if you don't have really strong audit trails and strong enrichment rules, you shouldn't write into a default field because you could cause confusion and frustration with sales, if you overwrite their recently entered data. 🔻 You need to understand all of the fields you're enriching very intimately...what is their purpose, at which stage do they need to be enriched? Don't be lazy and enrich every field at every record edit, it'll harm your systems and speed-to-lead. 🔻 Make sure any enrichment automation takes race conditions into consideration -- what other automations could be triggered, and how would that impact the API limits/system performance? 🔻 How will you monitor results? Set up reports and audit trails, whether through Snowflake or field history in Salesforce. 🔻 Don't forget about consent management fields! Running out of room....what else? Did you find this helpful? #marketing #sales #marketingoperations #revenueoperations
How to Maintain Data Quality in CRM for Sales
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Summary
Maintaining data quality in your CRM (Customer Relationship Management) system is essential to support sales teams with accurate, up-to-date, and reliable information for decision-making and customer engagement. It involves organizing, cleaning, and enriching data to ensure consistency and usability.
- Standardize and clean data: Regularly format and correct information, such as fixing typos, standardizing dates and phone numbers, and removing duplicates to avoid confusion and errors.
- Set up automated workflows: Implement automated processes for data enrichment, like appending missing details and updating records, while ensuring they align with your CRM's capacity and system limits.
- Monitor and track data health: Use dashboards and reports to regularly audit your CRM for incomplete, outdated, or inaccurate records, and address any gaps promptly to maintain data accuracy.
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Hubspot users: We spent the last two weeks building this CRM dashboard for tracking deal record hygiene. It embeds right in Hubspot and is totally free. It’s remarkably hard to track data hygiene in the CRM. So we built this dashboard and guide to getting it stood up. What it does: - Shows deal completeness across all live deals by rep - Surfaces stale pipeline by rep - Breaks down record completeness by deal owner - Filter the dashboard by owner interactively How it works: - Copy the templates (comment below and I’ll send them) - Determine what properties make a deal “complete” - Add workflows (templates/guide included) - Go live Keeping your data updated and clean improves just about everything about the sales cycle. Setting this up takes less than an hour thanks to this template and is an amazing resource for teams who care about data hygiene. Comment “Hubspot” below and I’ll send it over when it’s finished. Must be connected.
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Data hygiene is at the root of most problems in your CRM. → Want to show leads in your prospecting workspace? Need lifecycle stage → Want to accurate reporting + capacity tracking? Need owners assigned → Want your emails to reach the inbox? Need to know deliverability Here’s how to build a simple "Account Audit" dashboard to find how many contacts have potential data hygiene issues. 💡 This dashboard is one of the first things I help coaching clients deploy to their HubSpot portal - DM me for more details Here’s how it works step-by-step: 1. Create a new dashboard called “Account Audit” 2. Build these 9 reports to identify potential data hygiene issues with your contact records: → Total Contacts 📊 Chart Type: KPI 📀 Data: Count of Contacts → Marketing Contacts 📊 Chart Type: KPI 📀 Data: Count of Contacts ⚡️ Filter: Marketing Contact Status is any of Marketing Contact → Contacts w/ No Owner 📊 Chart Type: KPI 📀 Data: Count of Contacts ⚡️ Filter: Contact Owner is Unknown → Contacts w/ No Contact 📊 Chart Type: KPI 📀 Data: Count of Contacts ⚡️ Filter: Last Contacted is Unknown → Contacts w/ No Email 📊 Chart Type: KPI 📀 Data: Count of Contacts ⚡️ Filter: Email is Unknown → Contacts w/ No Lifecycle Stage 📊 Chart Type: KPI 📀 Data: Count of Contacts ⚡️ Filter: Lifecycle Stage is Unknown → Contacts w/ Hard Bounce 📊 Chart Type: KPI 📀 Data: Count of Contacts ⚡️ Filter: Email Hard Bounce Reason is Known → Contacts w/ No Engagement 📊 Chart Type: KPI 📀 Data: Count of Contacts ⚡️ Filter: Last Activity Date is Unknown & Last marketing email send date is Unknown → Contacts w/ No Associated Company 📊 Chart Type: KPI 📀 Data: Count of Contacts ⚡️ Filter: Primary Associated Company ID is Unknown Create a cadence to review your dashboard and resolve systemic issues P.S. I’m building a niche B2B media company for HubSpot admins starting with a weekly newsletter. You can subscribe to get step-by-step use case playbooks to implement in your own account each week. https://lnkd.in/en942kTf