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LIVE FEED
Apple Mail inbox placement — 96.4% (up 1.1pp WoW)
Pristine spam trap hit detected on list "newsletter-jan"
Open rate up 4.7pp on personalized subject-line cohort
Click-through dipped on transactional flow — investigating segment overlap
1.2M campaigns analysed in the last 24 hours
List-hygiene scan flagged 11,243 risky addresses for review
Unsubscribe rate stable at 0.12% globally
Apple Privacy proxy is influencing 28% of opens on iOS
Engagement tier "highly active" grew 6.3% MoM
Subject-line classifier — 0 promotional terms flagged on B2B template
Inactive-90 segment volume crossed warning threshold
All 4 sending IPs IPv6-ready and accepted at Gmail
Subdomain delegation drift on bounce.example.com — TTL race detected
DNS propagation complete for new bounce domain
Greylisting events up 14% at Office365 — retry latency in band
Inbox placement at Gmail US — 97.1% (last 7 days)
Yahoo JP folder shift detected — 6.4% spam-folder movement
Outlook.com EU — median latency 38 seconds
CAN-SPAM footer present and parseable in all variants
CASL consent metadata missing on 412 addresses — review
Strategist playbook "Q4 reputation freeze" recommended for sender ID 30482
GDPR opt-out propagated to 7 downstream ESPs
Pilot-customer scoping refreshed — 14 customers active
DMARC policy quarantine — alignment at 99.4% across last 7 days
ARC seal mismatch on 2.1% of forwarded mail
DANE TLSA records aligned across MX
One-Click List-Unsubscribe header present (RFC 8058)
Yahoo inbox dipped 3.2% on spring-promo campaign
Microsoft SNDS — 2 IPs moved from "Green" to "Yellow"
Gmail spam rate trending below 0.05% for 30 consecutive days
Spamhaus SBL listing on 192.0.2.45 — delist requested 11 min ago
SURBL not listing any sender domains
Comcast complaint rate elevated — 0.18% (threshold 0.10%)
Apple Mail inbox placement — 96.4% (up 1.1pp WoW)
Pristine spam trap hit detected on list "newsletter-jan"
Open rate up 4.7pp on personalized subject-line cohort
Click-through dipped on transactional flow — investigating segment overlap
1.2M campaigns analysed in the last 24 hours
List-hygiene scan flagged 11,243 risky addresses for review
Unsubscribe rate stable at 0.12% globally
Apple Privacy proxy is influencing 28% of opens on iOS
Engagement tier "highly active" grew 6.3% MoM
Subject-line classifier — 0 promotional terms flagged on B2B template
Inactive-90 segment volume crossed warning threshold
All 4 sending IPs IPv6-ready and accepted at Gmail
Subdomain delegation drift on bounce.example.com — TTL race detected
DNS propagation complete for new bounce domain
Greylisting events up 14% at Office365 — retry latency in band
Inbox placement at Gmail US — 97.1% (last 7 days)
Yahoo JP folder shift detected — 6.4% spam-folder movement
Outlook.com EU — median latency 38 seconds
CAN-SPAM footer present and parseable in all variants
CASL consent metadata missing on 412 addresses — review
Strategist playbook "Q4 reputation freeze" recommended for sender ID 30482
GDPR opt-out propagated to 7 downstream ESPs
Pilot-customer scoping refreshed — 14 customers active
DMARC policy quarantine — alignment at 99.4% across last 7 days
ARC seal mismatch on 2.1% of forwarded mail
DANE TLSA records aligned across MX
One-Click List-Unsubscribe header present (RFC 8058)
Yahoo inbox dipped 3.2% on spring-promo campaign
Microsoft SNDS — 2 IPs moved from "Green" to "Yellow"
Gmail spam rate trending below 0.05% for 30 consecutive days
Spamhaus SBL listing on 192.0.2.45 — delist requested 11 min ago
SURBL not listing any sender domains
Comcast complaint rate elevated — 0.18% (threshold 0.10%)

Validity DemandToolsThe platform that keeps Salesforce data clean and AI-ready.

Validity DemandTools finds, fixes, and prevents bad data across your org, so every team and model downstream can trust the information they're working with.

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Trusted by thousands of the world’s biggest brands

Walmart Cisco FanDuel Honda NBC
Delta Michael Kors Kroger Airbnb Shell
TikTok FedEx Morgan Stanley Peacock AT&T
Salesforce Harrods Toyota AAA Instacart
Microsoft Etsy GM Four Seasons National Bank
T-Mobile Booking Fidelity Urban Outfitters AA
Geico National Geographic Kaiser Permanente PetSmart Dell
Yelp McDonalds Amazon Pay Packers 7eleven
CVS S&P Aer Lingus Exxon

Results Not promises:

0 Reduction in time spent on data quality tasks

0 Reduction in time spent on reporting​​ 

0 Reduction in time spent on lead entry

The speed your team needs. The accuracy your AI requires.

AI is trained on data. If yours is unreliable, nothing built on it can be trusted. DemandTools keeps Salesforce clean and accurate, automatically. 

Data cleansing that runs without you.

Bulk, repeatable processes replace manual cleanup sprints. What used to take a dedicated project now runs on its own.

Data your AI can actually use.

Records are clean, deduped, and structured at the source, so every model and report work from something reliable.

Teams that work smarter, not harder.

When the data is right, reps close faster, marketing targets better, and ops quits firefighting. Clean data pays off everywhere.

DemandTools featuresOne coordinated platform that keeps your data clean at every step.

Validity DemandTools tackles the time-consuming data quality work, so your team can focus on the decisions that actually move the business forward. 

  • Duplicate management

    Clean up existing duplicates and maintain a duplicate-free CRM. 

  • Data loading

    Move records in and out of Salesforce; no duplicates or broken relationships. 

  • Data quality monitoring tools 

    Quickly gauge data strength and focus cleanup where it counts. 

  • Mass updates

    Make bulk standardizations and field updates; no exporting needed. 

  • Email validation

    Verify emails and show results in Salesforce, powered by Validity Engage. 

  • Notifications and history tracking 

    Get alerts when your Salesforce data is being modified. 

Frequently Asked Questions

If you're managing Salesforce data and want to understand the fundamentals, start with the questions we get asked most.

Data quality management is the collection of practices, tools and processes that keep your data accurate, complete, consistent and reliable. In a CRM environment, it covers profiling, cleansing, deduplication, validation, enrichment, governance and ongoing monitoring. A strong quality management strategy treats clean data as an ongoing discipline and gives downstream systems a reliable foundation to build on.

The best data cleaning techniques are profiling, standardization, deduplication, verification and enrichment, and automation and monitoring. Starting with data profiling helps surface where errors exist, making each subsequent step more targeted. Deduplication removes redundant records so your team works from a single, accurate source. Standardization converts data to a consistent format, while verification and enrichment confirm accuracy and fill gaps.

Automating and monitoring these processes on a schedule keeps your data reliably clean, freeing your team from manual oversight.

The skills needed for data migration are migration planning, clean source data and validation at each stage. Before loading records into Salesforce, complete auditing and profiling of your data, resolve duplications or anomalies, then map how fields translate to the target system. Post-migration testing confirms accurate data arrival and relationship integrity.

Automated tools like DemandTools handle most of the cleansing, deduplication and record ownership management, migrating Salesforce data in minutes and putting large-scale efforts within reach of your existing team.

CRM automation works by using rules, workflows and triggers to handle repetitive data management tasks. In Salesforce, that means automatically deduplicating records as they arrive and standardizing fields in real time. Alerts fire when data is modified, and bulk updates run across thousands of records on schedule. Reps, marketers and AI models all work from data they can trust.

Customer Impact

One platform. Every data quality job your CRM needs. 

See how DemandTools unifies deduplication, data loading, mass updates, and monitoring, so every interaction (human or AI) runs on data you can trust. 

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