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08/07/2026 7:07 pm
TL;DR: Santa is used as a metaphor for modern loyalty because clean data, segmentation, zero-party data and AI-driven personalization all matter, and the article cites CMO Council, Forrester and Comarch survey data to support that case. The deeper lesson is that programs fail when they assume static audience groups instead of continuously governed identity and preference signals.
NHIMG editorial — based on content published by Comarch: Santa Claus: The Original Head of Loyalty. Personalization, St. Nick Style
By the numbers:
- 62% of marketers admit they lack strong confidence in their data and analytics systems.
- According to our 2025 Customer Loyalty Predictions report, 33% of global customers are happy to share their information for free.
- According to our 2025 Customer Loyalty Predictions report, 14% want to do it with no strings attached.
Questions worth separating out
Q: How should organisations govern customer identity data for personalization?
A: Organisations should treat customer identity data like governed source material, not campaign input.
Q: Why do inferred preferences create more risk than zero-party data?
A: Inferred preferences can be useful, but they are harder to explain, harder to verify, and easier to drift over time.
Q: When should teams use AI for segmentation and rewards?
A: Teams should use AI when the volume of interactions is too high for manual handling and the decision logic can be monitored.
Practitioner guidance
- Harden source identity data before personalizing at scale Establish reconciliation rules for customer, employee and service records so segmentation decisions do not rely on duplicated or stale attributes.
- Separate consented signals from inferred signals Track whether each attribute was explicitly provided, inferred from behavior, or imported from another system, then apply different governance rules to each.
- Add human review for high-impact AI decisions Require escalation for automated churn, reward or access decisions when model confidence drops, data quality degrades or the recommendation is unusual.
What's in the full article
Comarch's full blog post covers the tactical loyalty and personalization examples this post intentionally leaves at the source:
- The Santa-themed segmentation examples and how they translate into campaign design
- The gamification tactics used to increase engagement, including progress mechanics and reward loops
- The AI-elaboration around churn prevention, dynamic rewards and fraud monitoring
- The loyalty-marketing framing and brand examples that sit outside this identity-focused analysis
👉 Read Comarch's loyalty and personalization analysis through the Santa metaphor →
Santa-style segmentation: what IAM teams can learn from loyalty?
Explore further
08/07/2026 7:31 pm
Customer loyalty is an identity governance problem, not just a marketing problem. The article repeatedly shows that retention depends on knowing who the user is, what they want, and when the organisation is acting on stale assumptions. That is the same control problem IAM teams face when attributes, entitlements or preferences are allowed to drift without lifecycle discipline. The practitioner lesson is that governance quality determines personalization quality.
A few things that frame the scale:
- The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
- Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap.
A question worth separating out:
Q: What is the difference between batch campaigns and real-time personalization?
A: Batch campaigns make decisions on a schedule, while real-time personalization makes decisions as signals arrive. The first is simpler to govern, but less responsive. The second is more adaptive, but it requires continuous data validation, tighter control over model outputs, and clearer accountability for automated actions.
👉 Read our full editorial: Santa-style personalization exposes the limits of batch-and-blast loyalty
