Most teams don’t wake up and decide to run campaigns on bad data. It happens gradually: a few bounced emails here, a couple of missing job titles there, duplicates creeping in from imports and integrations. Over time, your CRM starts to feel less like a source of truth and more like a guess.
Datacare (by Findymail) is built for that reality. Instead of treating data quality as a one-time cleanup project, Datacare continuously enriches and maintains your CRM in the background: filling missing contact and company fields, verifying emails with a <5% bounce-rate guarantee, merging duplicates in real time, tracking job changes, and refreshing outdated records. The goal is simple: keep your CRM trustworthy so your revenue teams can move faster and convert more.
Why CRM data decays (even when your team is doing “everything right”)
CRM data decay is not a process failure; it’s a reality of how fast companies and people change. Even with strong processes, records degrade because:
- People switch roles and companies, making job titles, domains, and org data stale.
- Email addresses expire or become invalid, increasing bounce rates and harming deliverability.
- New leads arrive incomplete from forms, events, list uploads, partner handoffs, and sales sourcing.
- Duplicates accumulate across tools, territories, inbox imports, and integrations.
- Manual enrichment doesn’t scale, especially when teams are trying to hit pipeline targets.
This is why “quarterly cleanup day” tends to create temporary relief, not lasting trust. The CRM improves, then slowly drifts back to the same problems.
What Datacare does: continuous enrichment and continuous cleaning
Datacare is positioned as a continuous CRM data enrichment and cleaning solution. Instead of adding new data on top of a decaying foundation, it maintains the database automatically so the quality stays high over time.
1) Fill missing contact and company fields automatically
Datacare enriches records by filling empty fields with the data your go-to-market teams rely on. Depending on configuration and coverage, that can include:
- Verified emails (with a <5% bounce-rate guarantee for emails added or updated)
- Job titles and other contact details
- Company data that helps with segmentation and routing
- Phone numbers (available for non-EU contacts)
The impact is not just “nicer profiles.” When key fields are present, your CRM becomes usable for segmentation, personalization, scoring, automation, and territory logic.
2) Verify emails to protect deliverability and performance
Email quality affects more than a single sequence. High bounce rates can damage domain reputation, reduce inbox placement, and drag down campaign performance metrics. Datacare verifies every email it adds or updates using Findymail’s verification engine and provides a <5% bounce-rate guarantee.
That gives teams a practical advantage: more confident outreach, fewer failed sends, and more reliable reporting.
3) Merge duplicates in real time (before they snowball)
Duplicates create a chain reaction: split activity history, conflicting ownership, double-counted pipeline, and messy attribution. Datacare detects and merges duplicate contacts and companies as they enter the CRM, in real time.
That means less manual deduplication work and fewer “why are there two versions of this account?” moments for Sales, RevOps, and CS.
4) Track job changes and refresh records that go stale
Job changes are often a revenue opportunity hiding inside your database: champions move, new buyers appear, and accounts shift org structures. Datacare monitors job changes, updates records automatically, and can notify you when champions change companies.
This can directly support reactivation plays and timely outreach. Datacare reports outcomes like 5x higher conversion on job changes, which aligns with the idea that contacting the right person at the right moment is often more valuable than just contacting more people.
5) Refresh outdated records and remove invalid emails
Datacare keeps your CRM accurate by refreshing outdated information and removing invalid emails as data becomes obsolete. Instead of letting decay accumulate, it keeps your database maintained continuously so teams can trust what they see.
The outcomes teams care about: cleaner data, higher conversion, less manual work
Datacare is designed to deliver measurable improvements, not just “more data.” The product messaging highlights outcomes such as:
- 50%+ reduction in missing data
- 5x higher conversion on job changes
- <5% email bounce-rate guarantee for verified emails added or updated
Those results matter because they connect directly to revenue execution:
- Marketing can activate bigger audiences, personalize campaigns, and rely on cleaner segments.
- Sales spends less time researching, works fewer dead leads, and hits the right stakeholders faster.
- RevOps gets higher confidence in reporting, routing, attribution, and lifecycle automation.
- Leadership gets a CRM that reflects reality, improving forecasting and decision-making.
Native CRM integrations: built to fit your existing workflows
Datacare integrates natively with major CRMs through API integrations, including:
- HubSpot
- Salesforce
- Pipedrive
- zoho data enrichment
- Copper
- Close
Because it works via native integration, Datacare is designed to enrich and clean within the system your teams already live in. It also processes updates in batches to respect API limits and avoid overloading your CRM.
Fast setup: CRM health check to full implementation in under two weeks
Datacare is positioned as quick to implement, with a clear rollout path aimed at reducing risk and time-to-value. The setup approach includes:
Step 1: CRM health check (read-only scan)
Datacare starts with a read-only scan to assess the current state of your CRM. You can see what will change before anything is applied, so stakeholders can review the impact.
Step 2: Guided implementation
A sales engineer helps implement Datacare, configure safety controls, and align the enrichment and cleaning behavior with your workflows (including custom fields and specific needs).
Step 3: Always-on maintenance
Once live, Datacare runs continuously: enriching new records as they’re created, merging duplicates in real time, verifying emails, refreshing outdated data, and tracking job changes.
Enterprise-grade safety controls: keep control of your CRM data
One of the biggest concerns with any enrichment tool is unintended changes. Datacare emphasizes safety features designed to help you enrich confidently without losing control.
Preview mode
See changes before they’re applied, with color-coded results for clarity. This makes it easier to validate mapping and confirm that enrichment matches your expectations.
No Override default behavior
Datacare defaults to No Override, meaning it only fills empty fields unless you explicitly allow updates to existing values. If you want existing fields updated, you can configure that field by field.
Full rollback
If something doesn’t look right, Datacare supports full rollback so you can undo changes. That’s especially valuable for large CRMs where manual fixes would be painful.
Segment controls
Not every team wants to enrich everything on day one. Datacare lets you choose which segments of your CRM to enrich based on your own criteria (for example: lifecycle stage, lead score, sector, or pipeline stage).
Security and compliance: SOC 2, GDPR, and EU hosting
Datacare is positioned for enterprise-grade requirements and includes protections commonly expected by security and compliance teams:
- SOC 2 compliance (including SOC 2 Type 2 referenced in product messaging)
- GDPR compliance
- EU hosting
Datacare also notes a specific constraint aligned with GDPR considerations: phone-number enrichment is available for non-EU contacts only.
Designed to scale: live enrichment plus monthly batch scans
CRMs can range from a few thousand records to millions. Datacare is designed to scale in two complementary ways:
- Live enrichment as records are created or updated, helping new data stay complete from the start.
- Monthly batch scans that process your full database to fill gaps and catch records that weren’t updated live.
In addition, duplicate detection and merging happens in real time, while job-change tracking monitors contacts moving between companies and triggers updates automatically.
What “continuous” really means for day-to-day revenue execution
Continuous enrichment and cleaning isn’t just a technical feature; it changes how teams operate. Here are a few practical before-and-after examples that show why always-on data quality pays off.
Before: segments and lists shrink because too many records are incomplete
When fields like role, seniority, industry, or company size are missing, you either exclude those records or accept broad targeting.
With Datacare: missing fields get filled automatically, enabling larger, more precise audiences and stronger personalization without manual enrichment work.
Before: outreach performance suffers from invalid emails
Bounces waste sends, reduce efficiency, and can harm deliverability over time.
With Datacare: emails are verified using Findymail’s verification engine, with a <5% bounce-rate guarantee for emails added or updated, improving confidence in outreach.
Before: duplicates distort reporting and confuse ownership
Duplicates can split activities and cause teams to work the same account twice, undermining collaboration.
With Datacare: duplicates are detected and merged as they enter the CRM, reducing downstream mess.
Before: job changes quietly erase your champion strategy
If your champion moves companies and your CRM doesn’t update, you lose a warm path into a new account and may miss a critical buying signal.
With Datacare: job changes are tracked, records update automatically, and teams can get notified to act quickly. Datacare reports outcomes like 5x higher conversion on job changes.
A real-world style example: activating a cleaner CRM
A CRM marketing manager described using Findymail to clean a large, outdated CRM impacted by invalid emails, poorly enriched companies, and inaccurate data. After implementing continuous enrichment in the background, they reported that more than 80% of the database had been cleaned and that the team could activate larger audiences, refine targeting, and deploy automations based on how contacts evolve.
This kind of outcome is a strong signal of what continuous data maintenance unlocks: better activation, better automation, and less manual firefighting.
Datacare feature summary (quick reference)
| Capability | What it does | Why it matters |
|---|---|---|
| Continuous enrichment | Fills missing contact and company fields automatically | Improves segmentation, routing, personalization, and scoring |
| Email verification | Verifies emails added or updated with a <5% bounce-rate guarantee | Protects deliverability and outreach performance |
| Real-time deduplication | Detects and merges duplicates as they enter the CRM | Reduces reporting errors and ownership confusion |
| Job change tracking | Monitors contact moves and updates records automatically | Helps teams act on high-intent signals; supports reactivation |
| Data refresh | Refreshes outdated records and removes invalid emails | Keeps CRM trustworthy without repeated cleanup projects |
| Native CRM integrations | Works via API with HubSpot, Salesforce, Pipedrive, Zoho, Copper, Close | Fits existing workflows and automation logic |
| Safety controls | Preview mode, No Override default, rollback, segment controls | Enrichment with confidence and control |
| Scale | Live enrichment plus monthly batch scans; batch processing to respect API limits | Works for large CRMs, including millions of records |
| Compliance | SOC 2, GDPR, EU hosting; phone enrichment for non-EU contacts | Aligns with enterprise security and privacy needs |
Who benefits most from Datacare
Continuous CRM data enrichment is valuable for almost any organization running revenue motions, but Datacare is especially compelling when:
- Your CRM is a shared system across Marketing, Sales, and Customer Success, and trust is slipping.
- You have high record volume (or rapid growth) and manual enrichment can’t keep up.
- You run outbound or lifecycle campaigns where bounce rate and segmentation accuracy matter.
- You care about job-change signals and want a reliable way to turn them into revenue plays.
- You need guardrails like preview mode, segment controls, and rollback to satisfy stakeholders.
How to get the most value: a practical rollout approach
To maximize impact quickly while keeping stakeholders comfortable, many teams follow a phased approach using Datacare’s controls.
Phase 1: Health check and mapping validation
- Run the read-only health check to quantify missing data, duplicates, and stale records.
- Review preview mode results to validate field mapping and expected updates.
- Keep No Override in place while you build confidence.
Phase 2: Enrich high-impact segments first (optional)
- Use segment controls to focus on ICP accounts, active pipeline, or marketing-qualified segments.
- Measure improvements in bounce rate, segmentation size, and conversion on job-change notifications.
Phase 3: Expand to always-on, CRM-wide coverage
- Turn on broader enrichment so new and existing records don’t fall through the cracks.
- Leverage monthly batch scans to maintain long-term completeness.
- Use regular CRM health reports to track progress and keep teams aligned.
Bottom line: make CRM data quality automatic, not aspirational
When CRM data is incomplete, outdated, and duplicated, every downstream activity becomes harder: targeting, routing, personalization, forecasting, and even basic reporting. Datacare aims to solve that by making data quality continuous and automated, with built-in safety controls that keep you in charge.
If you want a CRM that stays clean and enriched without constant manual effort, Datacare’s combination of continuous enrichment, real-time deduplication, job-change tracking, verified emails with a <5% bounce-rate guarantee, native CRM integrations, and enterprise-grade controls is designed to deliver exactly that.
FAQ: quick, practical questions teams ask about Datacare
Will Datacare overwrite fields we’ve already cleaned?
By default, no. Datacare uses a No Override default, so it fills empty fields unless you choose to allow updates to existing data. Updates can be configured field by field, and preview mode helps you confirm changes before they go live.
Can Datacare work with very large CRMs?
Yes. Datacare is designed to scale to millions of records using batch processing to respect API limits, with live enrichment for new or updated records and monthly batch scans across your full database.
Does it support international enrichment?
Datacare enriches contact and company data globally, with coverage varying by region. Phone-number enrichment is available for non-EU contacts only.
How often does Datacare update CRM data?
It runs through a combination of live enrichment (as records are created or updated), monthly batch scans (to refresh and backfill across the database), and real-time deduplication. Job-change tracking continuously monitors contact moves and triggers updates.
What kind of onboarding and support is included?
Datacare includes guided implementation, white-glove onboarding, and ongoing support via chat and email. It also provides regular CRM health reports to help you quantify improvements over time.
