Data Aggregation
Data aggregation combines records from multiple sources into a single dataset — the foundation of analytics, reporting, and any cross-system view of a customer or account.
What is data aggregation?
Data aggregation is the process of pulling records from many sources and combining them into a unified dataset. In GTM that usually means stitching together a customer's footprint across CRM, marketing automation, product analytics, billing, support, and external enrichment to build a 360° view.
Why it matters
- No single system has the full picture of a customer — aggregation creates it
- Aggregated cohorts unlock segmentation and reporting that single-system views can't support
- Lets AI scoring models use cross-system signals (product usage + sales activity + intent data)
Common aggregation patterns
- Per-account roll-up — every signal across every system tied to a single account ID
- Cohort tables — all customers acquired in Q2 with their downstream behavior
- Funnel snapshots — point-in-time aggregations that survive source-system changes
How TexAu helps
Pull lists, enrichment, and engagement data from disparate sources into one TexAu table, then aggregate, score, and route the unified view back into your CRM or warehouse.
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