Why a waterfall is better than one enrichment attempt
Email enrichment often fails for simple reasons: a provider does not have enough data, the row needs a different identifier, or the match is ambiguous enough that it should not be trusted without review. A waterfall helps because it lets you try more than one provider in a defined order instead of stopping after the first miss.
The practical advantage is coverage. If the first provider does not return a usable result, the next one gets a chance to do better. That can lift the total number of rows you can work with while still keeping the source of the match visible in the sheet.
- Use the strongest provider first if you care most about quality.
- Use fallback providers to recover rows the first pass could not fill.
- Keep review flags so uncertain matches do not flow downstream by mistake.
This workflow is especially useful when a list includes mixed inputs. Some rows may have a name and domain, while others only have a LinkedIn URL or a partial company record. A waterfall gives you a structured way to handle those differences without building separate workflows for each source type.
| Question to ask | Why it matters |
|---|---|
| Which provider should go first? | That determines whether you optimize for accuracy or coverage. |
| What counts as a good match? | That keeps uncertain rows from being treated as final. |
| What do you export? | That decides whether the next tool gets a clean field set or too much noise. |
When the waterfall is set up well, the output is easy to audit. You can see which rows matched, which source produced the result, and which rows still need another pass. That transparency is what makes the workflow useful for teams that care about quality as much as coverage.