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How to Build a Waterfall Enrichment Workflow (Step-by-Step)

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  1. PLG motion: Weight product-usage and website-intent signals into your triggering logic ahead of firmographic depth. Speed from signal to enriched contact matters more than exhaustive coverage, since the signal itself already qualified the account. Sales-led motion: Weight firmographic and technographic depth higher, since account-based targeting depends on precision at the company level before a rep ever touches a contact record. SMB-focused teams: A single strong primary provider plus tight cost controls usually beats a three-tier cascade. The added complexity of a full waterfall rarely pays for itself at SMB volumes and price points.

    In Account-based personalization

  2. Match rate: The percentage of records a provider or workflow successfully returns a usable value for. Data decay: The rate at which contact and company data goes stale as people change jobs, roles, and contact details. ICP (Ideal Customer Profile): The firmographic and behavioral profile of the accounts most likely to buy, used to benchmark provider coverage against your actual targets rather than generic averages.

    In Data decay and refresh cycles

  3. Work email, direct-dial phone, firmographic data, technographic data, and intent signals are not equally covered by any single vendor. A provider strong on North American enterprise emails may have weak direct-dial coverage and almost no international contact data. Rather than naming specific vendors here (vendor strengths shift and a name-drop ages badly), use the criteria below to score any candidate provider for each data type in your stack. Technographic data General tech-stack detection across your whole TAM Specialized detection for niche or emerging tools Rarely needed as a third layer

    In Technographic enrichment