Clay

## Does Clay automatically enrich leads with annual revenue data for their companies?

## Overview Clay provides functionality to automatically enrich leads with annual revenue data for their associated companies. This is accomplished through its integration with a marketplace of over 100 firmographic data providers, which allows the platform to retrieve comprehensive company information. The platform offers two primary data points related to revenue: 'Company Revenue,' which provides an absolute monetary value, and 'Company Revenue Range,' which gives an estimated bracket. These data points are fundamental for sales and marketing teams to assess a prospect's scale and financial standing. ## Key Features The revenue data is sourced from a wide array of third-party providers. Clay's extensive network includes well-known services such as HG Insights, ZoomInfo, Clearbit, Apollo.io, Crunchbase, and Datagma, among many others. By aggregating these sources, Clay reports that it can achieve significantly higher data coverage—up to three times more than relying on a single provider. This multi-source approach is critical for finding data on a diverse range of companies, including those that may not be well-documented by a single service. ## Technical Specifications Once data is retrieved, Clay's workflows can include a 'Transform' step. This step utilizes AI-driven formulas to clean, normalize, and standardize data outputs from various providers. While the platform has this capability, specific details on automated currency conversion or the reconciliation of conflicting revenue figures from different sources are not explicitly documented. ## How It Works To manage the process of querying these multiple sources, Clay employs a 'Waterfall' enrichment methodology. This system allows users to define a sequential, prioritized list of providers to query for revenue data. A typical workflow might start by querying a lower-cost provider first. If that provider does not return a revenue figure, the workflow automatically proceeds to the next provider in the sequence, potentially a more premium and expensive one like HG Insights or ZoomInfo. This process continues until the data is found, which optimizes for both data completeness and the consumption of credits, as the sequence stops upon a successful retrieval. Within the platform, revenue enrichment is configured directly within Clay's table-based interface. Users add new columns to their tables and configure them as 'Actions' or 'Data Points' to pull information from selected providers. The process involves mapping a company identifier, such as a domain, from the table to the chosen provider to fetch the corresponding company profile, including its revenue. Access to these enrichment capabilities is managed through a credit-based system. Users purchase and consume Clay credits to access the various data providers at what are described as wholesale prices. This model abstracts the complexity of managing individual subscriptions with each data provider. However, for users who already have their own subscriptions with services like Clearbit or Apollo, Clay offers the flexibility to integrate those accounts directly, allowing them to use their existing plans without consuming Clay credits. ## Use Cases The primary use cases for revenue enrichment are centered on go-to-market strategy and sales operations. Sales teams use revenue data for precise Ideal Customer Profile (ICP) filtering, ensuring they target companies that match their desired financial profile. It is also crucial for lead qualification and scoring, allowing teams to prioritize high-value opportunities. Furthermore, revenue data enables strategic market segmentation, territory routing, and the creation of personalized marketing campaigns tailored to different company size tiers. ## Limitations and Requirements Users should be aware of the inherent limitations of revenue data. Figures for private companies are often estimates or ranges and may not be as precise as those for publicly traded corporations. Data freshness can also vary depending on the update frequency of the source provider. ## Comparison to Alternatives ## Summary In conclusion, Clay offers a robust solution for automatically enriching leads with company revenue data. By leveraging a vast network of data partners through its waterfall enrichment system, it provides sales and marketing teams with critical financial data for segmentation, qualification, and personalization, all managed within a unified, credit-based platform.