Customer Analytics & Marketing
The same customer shops online, visits a store, opens the app and calls support, and each system records them differently. Analytics, segments and campaigns end up running on duplicate rows instead of real people.
For agents. Agents look up the resolved customer before they reply, so they see the whole relationship.
Four customers in the dashboard, four segments, four sets of offers. It is one person.
Your Customers Are Split Across Systems
Every channel keeps its own customer table. E-commerce knows the email, the store knows the loyalty card, support knows the phone number and marketing knows whoever filled in a form. There is no shared key, and names and addresses are written differently in each.
So the business sees more customers than it has. Lifetime value is split across records, loyal customers look like one-time buyers, households are invisible and the same person receives the same offer several times.
Each team works around it with its own matching logic in its own tool. The numbers never agree, and none of the fixes carries over to the next team.
Inflated Customer Counts
One person counted once per channel makes every per-customer metric wrong.
Wasted Marketing
Duplicate mail, emails and offers go to the same person.
Fragmented Experience
Service and marketing each see part of the customer.
Know Every Customer Once
Resolve customers once, in the data platform where channel data already lands, and give each real person one stable ID. Build profiles, households and account hierarchies on that ID.
Then point analytics, segmentation, activation and service tools at the resolved customers, so every team and every agent works from the same people.
Analytics, segments and campaigns all read this one customer.
One ID Per Customer
Every channel record for the same person carries the same ID.
People, Households, Accounts
Resolve individuals, then group them where it matters.
Shared By Every Team
Analytics, marketing, service and agents read the same customer.
Where Resolved Customers Pay Off
Customer 360
A single, continuously updated view of each customer across every channel and system.
Learn moreHouseholding & Relationships
Group people into households and link related individuals for lifetime value and targeting.
Learn moreComposable CDP
Build the identity graph for a warehouse-native CDP, with no data copied out to a SaaS tool.
Learn moreMarketing Dedup & Personalization
Stop sending duplicate postal mail, catalogs, coupons and emails, and personalize from complete profiles.
Learn moreB2B Accounts & Contacts
Deduplicate accounts and contacts across CRM, billing and product data for clean pipeline and RevOps reporting.
Learn moreThe Identity Layer Under Customer Analytics
Zingg runs as a workload inside your data platform and gives every entity one persistent ZINGG_ID. Everything above it reads the same resolved entities.
The same layer powersFinancial Crime & RiskPrivacy & ComplianceSupply Chain & ProcurementProduct 360Master Data ManagementAI & Data Foundations
What Zingg Brings
Persistent ZINGG_ID
Every resolved entity keeps one global ID across systems and runs. ZINGG_ID
AI Plus Rules
Matching learned from your labels, combined with deterministic rules where you have them. How Zingg matches
Incremental Flow
Only new and changed records are matched, and IDs persist. Incremental flow
In Your Data Platform
Runs on Databricks, Snowflake, Microsoft Fabric, Google Cloud or AWS. Data never leaves your account.
For the first time, we’re able to understand how customers are shopping with us — online, in-store, over the phone, or in restaurants. Zingg has helped us unify this data and gain insights we never had before.
Customer Analytics & Marketing Questions
Why do customer counts look too high?
Each channel creates its own record for the same person. Without resolution, every record counts as a separate customer.
Can Zingg resolve both consumers and business accounts?
Yes. Zingg resolves any entity type: people, households, companies and contacts.
Does Zingg replace my CDP or marketing tools?
No. Zingg builds resolved customers in your data platform. Your CDP, BI and marketing tools read them.
Where does Zingg run?
Inside your own data platform: Databricks, Snowflake, Microsoft Fabric, Google Cloud or AWS.
Know Every Customer Once
Resolve customers inside your own data platform, then point every tool at them.