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The same customer often appears in three or four systems with different IDs, slightly different spellings, and conflicting records. A Customer 360 Reconciliation Playbook resolves the duplicates, joins the records into a single trusted view, and surfaces the data conflicts that need a human decision.
The Challenge
The CRM, billing system, support tool, and product analytics each assigned a customer ID at the moment the customer entered that system. Without a master key, the same customer appears as a different record in every system and the cross-system joins return false negatives.
Acme Co., Acme Corporation, and Acme Inc. are the same customer to a human and three customers to a system. Same for an email at the corporate domain versus the personal domain. Exact-match reconciliation misses every variation and the customer 360 view fragments.
When the same customer is counted as two records, the customer count is inflated, the per-customer averages are diluted, and the segmentation logic divides the customer between two cohorts. The reports look fine on the surface but the underlying numbers are wrong in a way that compounds across every downstream decision.
How eyko Solves It
A Customer 360 Reconciliation Playbook reads customer records from every connected system, applies fuzzy matching on names, emails, domains, addresses, and account hierarchies, and produces a master record per customer with the contributing records linked. It surfaces the conflicts that need a human decision (different addresses, conflicting plan info) and reports the data quality metrics that show how much the reconciliation changed.
The Playbook reconciled 18,400 customer records across 4 systems into 14,200 unique customers. 2,840 duplicates were resolved automatically at high confidence. 1,360 require a human decision because the records conflict on a material field. The pre-reconciliation customer count was 30% inflated, and per-customer revenue was understated by the same margin.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
Customer 360 Reconciliation resolves duplicate customer records across CRM, billing, support, and product analytics into a single master record per customer. The Playbook applies fuzzy matching on names, emails, domains, addresses, and account hierarchies, produces a master record per resolved customer with the source records linked, and reports the volume and confidence of the resolution so data leadership sees how much the reconciliation changed the customer view.
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FAQ
Everything you need to know about Customer Reconciliation Report.
Customer 360 Reconciliation is an AI-driven analysis that resolves duplicate customer records across every connected system (CRM, billing, support, product analytics) into a single master record per customer. The Playbook applies fuzzy matching on names, emails, domains, addresses, and account hierarchies, produces a master record with the source records linked, and surfaces conflicts that need a human decision so data leadership sees a single trusted customer view.
The Playbook reads customer records from every system that holds them: CRM (Salesforce, HubSpot), billing (Stripe, Chargebee, NetSuite), support (Zendesk, Intercom), product analytics (Amplitude, Mixpanel), and marketing automation (HubSpot, Marketo). It uses name, email, domain, address, and account hierarchy fields for the fuzzy match. No additional tagging or labeling is required, and the Playbook produces a confidence score per match so high-confidence resolutions can be auto-applied.
Traditional MDM tools require a heavy data modeling exercise and a multi-quarter implementation. Customer 360 Reconciliation is a Playbook that runs against connected systems and produces a resolved master record in days, not quarters. It can run as a one-time clean-up or as a recurring monthly process to keep the master record fresh as new customers enter the systems. The two are complementary: the Playbook is the operational layer that keeps the MDM record honest in between formal MDM cycles.
Yes. Once a duplicate is resolved into a master record, the Playbook can update each source system with the master customer ID and merge or link the duplicate records inside that system. The propagation respects each system's merge rules and surfaces conflicts that the source system rejects so data ops can resolve them. The result is that downstream reports, campaigns, and joins return the correct customer count and per-customer metrics from every system.
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