PIIC Framework
Understand how Personal Identification Information Clean Works
PIIC stands for “Personal Identifying Information Cleaned”.
It’s the Cashin way of giving you deeper insight on your Insiders and Customers, beyond your own business. We believe that data is new gold, so understanding your Insiders and Customers overall purchase behaviours and trends while providing Partner’s privacy of the true data enabling everyone to win.
Why is it Important?
As Cashin expands multiple industry verticals, your Insiders and Customers, will shop across multiple vendors, but you only see what they buy from you. You’re missing 80% of their shopping behaviours and have zero visibility into their friend networks that influences purchasing decisions.
Cashin has a cross-network analytics ecosystem under the PIIC framework, enabling you to see your customer’s complete shopping behaviours across all Cashin Partners, while ensuring the critical and identifying information is completely scrubbed.
The Results? Understand your Insiders and Customers profile more comprehensively, driving improved marketing strategies, increasing customer life time value.
What does this look like?
Let’s imagine your a Electronics store, Sarah get’s referred by Mike about a deal you’re offering you only know:
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She’s browsing laptops,
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Her email address
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Her past purchases from YOUR Store
What You're Missing
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She spent $2,500 on premium fashion last month (high disposable income)
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She has a $300/month fitness subscription (health-conscious lifestyle)
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Her 3 closest friends just bought premium tech accessories (social influence)
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She coordinates purchases with her friend group 60% of the time
This incomplete picture costs you revenue, personalization opportunities, and customer lifetime value.
How it Works?
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Sarah Lands on your website,
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Context endpoint retrieves her cross-vendor shopping history of her and her friends
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You receive a complete customer ecosystem intelligence.
You can now use this data to personalize your customer journey and connect this data to other tools.
What you instantly learn about Sarah:
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Her Cross-Vendor Spending: |
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Her Friend Network: |
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Business Intelligence You Gain: |
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Real-World Business Impact
Scenario: Fashion Customer Visits Electronics Store
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Before PIIC: You see an unknown visitor browsing laptops
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With PIIC: You instantly know she's a premium fashion customer with $2,500 monthly spending power
Immediate Actions You Can Take:
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Personalized Welcome: "Welcome back,
{premium customer}" -
Product Recommendations: Show luxury tech accessories that match her fashion taste
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Pricing Strategy: Present premium options first
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Cross-Selling: Recommend sustainable tech products (friend network influence)
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Referral Campaign: Offer friend incentives knowing her high-value network
The Network Effect Multiplier
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Sarah's Direct Value: $5,000 annual electronics spending
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Sarah's Friend Network Value: $45,000 potential referral value
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Total Ecosystem Impact: $50,000+ total network opportunity
PIIC Anonymization Process
We understand how valuable data is to businesses, and the concerns with sharing data across vendors. Cashin takes this concerns seriously and built the framework to ensure complete anonymity, while preserving trends of your Insiders and Customers purchase behaviours.
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What PIIC Removes: |
What PIIC Preserves: |
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Example Transformation:
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Raw Data: "Sarah Johnson bought Nike Air Max Size 8 for $129.99"
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PIIC Summary: "Premium athletic footwear purchase, mid-range price point"
How we impact your team
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Marketing: Spot trends like "weekend shoppers prefer bundle deals" to create targeted campaigns without risking privacy fines.
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Finance: Analyze market patterns, e.g., "average spend in your category is $50," for better forecasting and budgeting.
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Developers: Use safe APIs to pull anonymized data, e.g., integrate into dashboards without handling sensitive info.
This keeps everything compliant (e.g., GDPR) while powering smart features
The New Cookies Method
Cashin's smart cookies popup replaces confusing privacy jargon with clear, benefit-focused explanations that customers actually understand and trust.
Why Traditional Cookie Popups Fail
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Generic "we use cookies for analytics" messages confuse customers
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Technical language creates distrust and high rejection rates
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Users can't see the personal value in data sharing
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Friction prevents seamless shopping experiences
How Cashin's Smart Cookies Work
Instead of generic messages, we show personalized value:
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Analytics Cookies: "Help us show you products that match your premium lifestyle"
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Marketing Cookies: "Connect you with deals your friend network actually wants"
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Performance Cookies: "Speed up your shopping by remembering your preferences"
Seamless Integration for Trust
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Automatic acceptance for signed-in users eliminates repetitive popups
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New visitors see clear value propositions before consenting
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Each tracker explanation connects to real PIIC benefits they'll receive
The Customer Experience
When Sarah visits your electronics store:
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She sees: "We track your style preferences to show you tech accessories that match your taste. We also look at popular trends among shoppers with similar interests to recommend products that are actually worth buying. This helps us show you deals on items you'll love and save you time browsing things that aren't your style."
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Instead of: "We use cookies for marketing and analytics purposes"
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Result: She understands the personal value and consents willingly
Business Impact
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Higher consent rates from transparency
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Reduced privacy friction in customer journey
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Stronger trust foundation for PIIC data sharing
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Seamless integration with cross-vendor analytics