Data Synchronization & Hygiene
Ensure clean, consistent, deduplicated data flows between all your martech tools. We implement automated data synchronization with quality enforcement — deduplication, standardization, enrichment, and decay management — so your teams always work with reliable, accurate data.
What's Included
Bi-Directional Data Sync
Real-time synchronization between CRM, marketing automation, and other tools with conflict resolution rules.
Automated Deduplication
ML-powered duplicate detection and merging with customizable match rules and merge strategies.
Data Standardization
Automated formatting, normalization, and standardization of names, addresses, companies, and custom fields.
Data Enrichment
Automated enrichment of contact and company records with firmographic, technographic, and social data.
Decay Management
Automated detection of stale data u2014 bounced emails, changed jobs, closed companies u2014 with re-verification.
Data Quality Scoring
Automated data quality score per record and system-wide quality dashboards and trends.
Platforms & Technologies
Data Quality
Enrichment
Sync
Real-World Results
CRM Data Cleansing
50K contacts, estimated 25% duplicates, inconsistent formats, 40% incomplete records
Automated deduplication, standardization, and enrichment with ongoing hygiene automation
Duplicates eliminated (saving $50K in email sends), 95% data completeness, 99% deliverability
Multi-System Data Sync
HubSpot and Salesforce out of sync, conflicts daily, ops spends 15hrs/week fixing data
Bi-directional sync with conflict resolution, field-level master rules, and monitoring
Real-time sync, zero conflicts, ops team freed 15 hrs/week, sales and marketing aligned on same data
Key Benefits
Trust Your Data
Clean, accurate data means every report, segment, and automation works correctly.
No Duplicates
Eliminate duplicate records that waste sales time and distort analytics.
Always Fresh
Automated decay management keeps your database current and deliverable.
Cost Savings
Clean data reduces wasted ad spend, email sends, and sales rep time.
Our Process
Data Audit
Assess current data quality: duplicates, completeness, accuracy, standardization, and decay rate.
Rules Design
Design deduplication, standardization, enrichment, and sync rules based on your data model.
Implementation
Deploy data quality tools, configure sync engines, and run initial cleansing.
Ongoing Monitoring
Automated monitoring, scheduled quality runs, and alerts for quality degradation.
How We Compare
| Aspect | Traditional | Widelly |
|---|---|---|
| Deduplication | Manual periodic review | Automated ML-powered continuous deduplication |
| Standardization | Training users (hope they comply) | Automated standardization on input and batch |
| Enrichment | Manual research per lead | Automated enrichment from 15+ data providers |
| Monitoring | Discover issues when campaigns fail | Real-time quality dashboards with proactive alerts |
Ready to Get Started?
Share your requirements and get a detailed proposal within 48 hours.
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