Glossary

Enrichment Waterfall

An enrichment waterfall is a GTM pattern where a contact or company record is enriched by calling data vendors in a defined sequence, falling through to the next vendor only when the previous one returned no usable data. Clay popularized the pattern; the goal is to maximize coverage at controlled cost.

Definition

An enrichment waterfall is a GTM pattern where a contact or company record is enriched by calling data vendors in a defined sequence, falling through to the next vendor only when the previous one returned no usable data. Clay popularized the pattern; the goal is to maximize coverage at controlled cost.

In Depth

The waterfall reduces vendor lock-in and pushes cost down per record because you only pay heavier vendors when cheaper ones miss. A typical 2026 waterfall starts with public SERP data (cheapest), falls through to LinkedIn-derived signals, then to a paid people-data vendor, and finally to manual enrichment. Teams running the pattern outside Clay use a multi-platform search API plus a script to drive each step, or they wire it into n8n with one branch per vendor. The pattern only works if the data shape from each step is normalized so downstream scoring sees a single record.

Example Usage

Real-World Example

The GTM engineer rebuilt the enrichment waterfall outside Clay using Scavio for SERP, ZoomInfo for emails, and a manual fallback for the long tail.

Platforms

Enrichment Waterfall is relevant across the following platforms, all accessible through Scavio's unified API:

  • google

Related Terms

Frequently Asked Questions

An enrichment waterfall is a GTM pattern where a contact or company record is enriched by calling data vendors in a defined sequence, falling through to the next vendor only when the previous one returned no usable data. Clay popularized the pattern; the goal is to maximize coverage at controlled cost.

The GTM engineer rebuilt the enrichment waterfall outside Clay using Scavio for SERP, ZoomInfo for emails, and a manual fallback for the long tail.

Enrichment Waterfall is relevant to google. Scavio provides a unified API to access data from all of these platforms.

The waterfall reduces vendor lock-in and pushes cost down per record because you only pay heavier vendors when cheaper ones miss. A typical 2026 waterfall starts with public SERP data (cheapest), falls through to LinkedIn-derived signals, then to a paid people-data vendor, and finally to manual enrichment. Teams running the pattern outside Clay use a multi-platform search API plus a script to drive each step, or they wire it into n8n with one branch per vendor. The pattern only works if the data shape from each step is normalized so downstream scoring sees a single record.

Enrichment Waterfall

Start using Scavio to work with enrichment waterfall across Google, Amazon, YouTube, Walmart, and Reddit.