Synevyr Synthetic Data Generation
2025-08-17
TL;DR
Synevyr includes a synthetic data engine that creates realistic but anonymized customer, lead, and e-commerce records.
This allows teams to explore the analytics platform end-to-end without connecting sensitive business systems.
What Is Synthetic Data?
Synthetic data is artificially generated information that simulates the structure and behavior of real-world business activity.
It is not linked to actual customers, yet it behaves like authentic marketing and e-commerce data.
Synevyr generates synthetic data for:
- Customers (profiles, demographics, activity status)
- Marketing Leads (attribution to ad platforms and campaigns)
- E-commerce Orders (purchases, totals, and order outcomes)
- Aggregate Metrics (customer lifetime value, churn events, funnel conversion paths)
How the Data Is Generated
The generation process establishes a full customer journey, from first exposure to an ad through to becoming a repeat buyer.
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Customer Profiles
- Synthetic identities with realistic names, locations, and contact details.
- Activity states (active, inactive, pending) distributed to reflect real-world ratios.
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Leads and Attribution
- Simulated marketing leads are tied to platforms such as Meta, Google, and LinkedIn.
- Ads, campaigns, and referrers are included to model acquisition channels.
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Orders and Purchases
- Synthetic order histories are created with varied purchase amounts, statuses, and repeat behavior.
- Biases are applied to mimic differences between organic, paid, and referral customers.
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Lifecycle and Behavior Modeling
- Customer “tenure” (days active before churn) is varied by channel.
- Churn, reactivation, and retention patterns reflect realistic marketing dynamics.
- Lifetime spend values are tuned to simulate a real dataset without exposing private information.
Why Synthetic Data Matters
- Safe Testing: Enables full analytics testing without exposing real customer data.
- Demonstration Ready: Dashboards can be previewed with meaningful metrics from day one.
- Comparability: Mirrors real-world marketing funnels and revenue flows for realistic evaluation.
- Privacy First: No sensitive or identifiable personal data is used.
Governance & Compliance
- Anonymity: All generated records are synthetic and carry no personal risk.
- Alignment: Behavioral patterns are modeled only at a statistical level, not copied from individuals.
📩 Need Help?
For details on using Synevyr’s synthetic data for demos, training, or integration testing,
contact info@carpathian.ai.

