Enrich local business leads with AI
get emails, phones & owner info instantly
Get accurate contact information, reviews, and business details from Google Maps. Perfect for lead generation, market research, and competitive analysis.
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What is data enrichment?
Data enrichment is the process of supplementing existing data with additional information from other sources to make it more complete, accurate, and valuable. By combining internal data with external data—such as third-party datasets or public records—organizations gain deeper insights for better decision-making, more effective marketing, and improved customer experiences.
Before enrichment
Name:
Email:
Company:
Title:
Company size:
Industry:
After enrichment
Name:
Email:
Company:
Title:
Company size:
Industry:
Revenue:
Tech stack:
How enrichment works
From upload to insight in minutes
Step 1
Before enrichment
Start with your existing first-party data and integrate it with other internal or external data sources
Step 2
Add context
Supplement records with demographics, firmographics, purchase history, social media activity, company size, and more
Step 3
Augment existing records
Link publicly available information to existing data points, like email addresses, to fill in missing details automatically
Step 4
Refine and validate
Continuously improve accuracy and validity of your data through automated validation and real-time updates
Benefits & use cases
Data enrichment delivers measurable value across your entire organization
Core benefits
Deeper customer understanding
Create a more complete picture of customers to improve service and personalized marketing campaigns
Personalized marketing
Use enriched data to send targeted and relevant recommendations based on customer behavior and preferences
Improved lead scoring
Score leads more accurately based on a richer set of data points including firmographics and intent signals
Better decision-making
Use enhanced data to inform strategic business decisions with confidence and precision
Predictive analytics
Leverage enriched data to forecast customer behavior, market trends, and identify opportunities
Typical use cases
Lead generation
Create a more complete picture of customers to improve service and personalized marketing campaigns
Sales intelligence
Equip your sales team with deep insights about prospects before outreach for higher conversion rates
Account-based marketing
Build comprehensive account profiles and map decision makers for targeted multi-threading campaigns
Customer analytics
Analyze customer segments with enriched demographic and behavioral data for strategic planning
Standard vs. enriched data
Transform basic contact info into actionable intelligence
Standard data
Included with every record
Enriched data
Premium intelligence layer
Ask AI anything about your leads
Custom prompts unlock unlimited qualification possibilities
Why AI enrichment?
Key considerations
We prioritize quality, compliance, and scalability in our data enrichment process
Data quality
Maintaining data accuracy requires ongoing effort as information naturally decays over time. Regular updates and validation ensure your enriched data remains reliable and actionable.
Privacy & compliance
Integrating new data must comply with privacy regulations like GDPR and CCPA. Clear data governance protocols protect your business and customer trust.
Scalability
The enrichment process needs to scale efficiently to handle large datasets without compromising speed or accuracy. Our infrastructure handles millions of records seamlessly.
Seamless integration with your stack
Export enriched data to your CRM, download as spreadsheet, or use our API for custom integrations
FAQs
Everything you need to know about data enrichment
Try Openmart for free
Openmart helps you get better results by connecting your daily work to your company's main goals
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No commitment required
Start extracting verified Google Maps data in minutes. No credit card required. Join thousands of businesses already using Openmart to automate their lead generation and accelerate their growth.
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