DataGroomr

08/25/2026

Salesforce data cleanup shouldn’t require heroic effort. ⚔️
Building matching models, investigating duplicate groups, deciding what to merge, creating master record rules, and defining data quality standards can turn into hours of work.

In his new demo video, Bob Garniss shows how AI can help turn hours of Salesforce data quality work into minutes.

Watch Bob demonstrate four of his favorite DataGroomr AI features in action:
✔ Build and train smarter matching models
✔ Get AI recommendations for resolving duplicate records
✔ Create master record rules using plain English
✔ Generate data quality models tailored to your org

Less time configuring and investigating. More time for the work that actually needs your expertise.

🎥 Watch the full demo video:
https://datagroomr.com/my-favorite-ai-features-for-cleaning-salesforce-data/

In the article I cover four of my favorite ways DataGroomr and AI work hand-in-hand to save you time and get cleaning your data right away!

08/18/2026

Bad email addresses shouldn't be something you discover after you hit send.

They lead to bounces, hurt sender reputation, distort campaign metrics, and waste marketing spend.

Now DataGroomr makes it easier to catch them before your campaign goes out.

Our new Verified Emails component for Salesforce Campaigns lets you verify campaign members directly from the Campaign page—and send only to verified email addresses.

No exporting lists.
No uploading them to another tool.
No importing results back into Salesforce.

Just verify → review → send, right where your campaign already lives.

In our latest blog, see how the new component helps Salesforce teams:
✔ Verify campaign members in place
✔ Reduce bounces and protect sender reputation
✔ Get more trustworthy campaign metrics
✔ Avoid paying to send to invalid addresses
✔ Keep the entire workflow inside Salesforce

Cleaner lists. Better campaigns. And one less step between your Salesforce data and your next send.

https://datagroomr.com/email-verification-built-into-salesforce-campaigns/

08/11/2026

For years, the conversation has centered on collecting more data. More leads. More signals. More customer intelligence.

But what if that's the wrong goal?

Our strategic advisor Kevin Burr argues that the organizations poised to succeed in the AI era won't simply collect more information. They'll make better decisions with the data they already have.

It's a thoughtful perspective on why trusted data, disciplined processes, and sound judgment matter even more as AI becomes embedded in everyday business.

If you're thinking about the future of AI, CRM, or data strategy, we’d be interested in your take.

https://datagroomr.com/data-doesnt-create-value-better-decisions-do/

08/03/2026

The August DataGroomr release is designed to help Salesforce teams spend less time managing data quality—and more time improving it.

✨ New in this release:
🔹 Workflows – Automate your entire data quality process by chaining multiple actions into a single scheduled workflow.
🔹 Insights – Discover where duplicate records come from, measure their business impact, and identify the root causes behind recurring data quality issues.
🔹 Expanded Enrichment – Bring together public web data, BuiltWith technographics, and your own internal tools in a single AI-powered enrichment workflow.

You'll also find AI-generated data quality models, AI-recommended master record rules, a redesigned Rules Designer, enhanced nonprofit support, more flexible exports, and dozens of usability improvements across the platform.

Whether you're preparing Salesforce for AI, improving CRM health, or reducing manual administration, there's something new for your team.

Read the full August Release Notes here: https://datagroomr.com/datagroomr-august26-release-notes/

One of our biggest releases of the year delivers powerful enhancements to rules, enrichment, AI, and overall usability.

07/28/2026

Duplicates don't stop at one Salesforce object.

Most Salesforce teams have a strategy for managing duplicate records. The challenge is that duplicates don't always stay within a single object.

A prospect may exist as both a Lead and a Contact. The same company can be created multiple times through imports, marketing automation, enrichment, integrations, or manual data entry.

These cross-object duplicates are harder to detect and are often more damaging than organizations realize. They can:
• Fragment customer records
• Trigger duplicate outreach and automations
• Distort reporting and forecasting
• Reduce confidence in your CRM and AI

As Salesforce environments become more connected, preventing duplicates within a single object is no longer enough.

Organizations also need a strategy for identifying and preventing duplicates across related objects.

In our latest blog, we explore:
✔ Why cross-object duplicates occur
✔ The business impact on sales, marketing, reporting, and AI
✔ Why traditional deduplication often misses them
✔ How real-time cross-object duplicate prevention helps keep Salesforce data accurate and trusted

Read the full article at:
https://datagroomr.com/why-cross-object-duplicates-are-costing-salesforce-teams-revenue/

07/28/2026

DataGroomr now includes Real-Time Cross-Object Duplicate Prevention, helping teams stop duplicates across related objects before they spread through the CRM.

Duplicate records don't always stay within a single Salesforce object. They can be introduced through imports, marketing automation, enrichment, integrations, or manual data entry, creating duplicate Leads, Contacts, Accounts, and other related records.

These cross-object duplicates can fragment customer data, disrupt lead routing, skew reporting, and reduce confidence in automation and AI.

With Real-Time Cross-Object Duplicate Prevention, DataGroomr identifies and prevents cross-object duplicates as records are created or updated—stopping duplicate data before it spreads throughout your CRM.

We're also honored to be recognized by Salesforce:
"DataGroomr's AgentExchange solution is helping customers accelerate business transformation by maximizing Salesforce data quality and trusted CRM operations."
— Tyler Carlson, SVP & Head of Product, AgentExchange and Ecosystem, Salesforce

https://datagroomr.com/datagroomr-introduces-real-time-duplicate-prevention-on-salesforce/

DataGroomr today announced real-time cross-object duplicate prevention for its Salesforce data quality platform on Salesforce AgentExchange.

07/20/2026

Most organizations measure pipeline, conversion rates, and revenue.

But how many can answer these questions about their Salesforce data?
• How many duplicate records do we have?
• Which objects have the biggest data quality issues?
• Is our CRM data becoming healthier—or less reliable over time?
• Are we ready for AI?

As AI, automation, and analytics become more dependent on trusted CRM data, data quality can no longer be treated as a periodic cleanup project. It needs to be measured, monitored, and managed continuously.

That's why we've introduced Data Quality Monitoring for Salesforce to help organizations continuously measure CRM health, prioritize improvements, and track progress over time.

New capabilities include:
✔ Organization Health KPIs
✔ Object Health Scorecards
✔ Configurable monitoring dashboards
✔ AI-assisted completeness scoring
✔ Cross-object data quality visibility

Because data quality shouldn't be something you fix once. It should be something you continuously measure and improve.

Read the full announcement and see what's new:
https://datagroomr.com/datagroomr-introduces-centralized-data-quality-monitoring-for-salesforce/

New capabilities provide a centralized view of CRM health, helping organizations measure, prioritize, and improve Salesforce data quality.

07/13/2026

You can spend hours cleaning your Salesforce data…
…but if dirty data keeps entering your CRM, you're fighting an endless battle.

One of the biggest sources of poor data quality isn't inside Salesforce at all. It's at the point of data collection.

In this guest blog, our friends at FormAssembly explain why a prevention-first approach is essential for maintaining clean, trustworthy Salesforce data. They cover practical ways to:
✔ Validate data at the point of entry
✔ Prevent duplicate records before they're created
✔ Standardize data collection across forms
✔ Build a stronger foundation for reporting, automation, and AI

It's a great reminder that the healthiest Salesforce orgs combine prevention with ongoing data quality management.

Thanks to Maggie Kilgallon and the FormAssembly team for sharing their insights!

https://datagroomr.com/where-does-dirty-data-come-from/

Dirty data isn't just a maintenance problem, it's a data collection problem. Learn how form design, validation, and Salesforce connectors stop dirty data at the source.

06/22/2026

Duplicates rarely stay confined to a single Salesforce object. A prospect starts as a Lead, gets converted to a Contact, then reappears through an import, enrichment provider, marketing automation platform, or manual entry.

The result? Fragmented customer records, reporting inaccuracies, lead routing issues, and less reliable automation and AI outcomes.

Our Summer '26 release introduces real-time cross-object matching for Live Dedupe, allowing new and updated records to be evaluated across related objects such as Leads and Contacts as they're created.

We also introduced new data quality scorecards, expanded enrichment capabilities, scheduled enrichment, deeper matching models, and more.

Read the full Summer '26 Release Highlights to see what's new and why it matters for Salesforce admins, RevOps teams, and data quality leaders.

https://datagroomr.com/datagroomr-summer26-release-notes/

While the previous release introduced enrichment orchestration as an AI-powered workflow, the July release focuses on the health of your Salesforce data.

06/10/2026

Before you blame AI for hallucinations, take a look at your data. Duplicate records don't just create CRM headaches, they can directly impact the accuracy of AI-generated recommendations, customer summaries, forecasts, and Agentforce responses.

When AI encounters multiple versions of the same customer, account, or opportunity, it's forced to reconcile conflicting information. The result? Inaccurate outputs, poor personalization, and diminished trust in AI. As organizations invest in Agentforce, Einstein, RAG architectures, and autonomous agents, data deduplication is becoming more than a data quality initiative, it's an AI readiness requirement.

In our latest blog, we explore:

✔ How duplicate records contribute to AI hallucinations
✔ Why clean data is critical for RAG and Agentforce success
✔ The impact of fragmented customer identities on AI performance
✔ Best practices for ongoing deduplication and governance

Clean data doesn't just improve CRM performance. It helps AI deliver results people can trust.

https://datagroomr.com/the-importance-of-data-deduplication-in-minimizing-ai-hallucinations-in-salesforce/

Duplicate accounts, contacts, leads and opportunities are not just operationally inefficient, but they also are a direct cause of AI hallucinations.