Clay

Clay

AI data enrichment & outreach

2 case studies
1 specialists
3 specialists
Sales & Marketing Application

What it's used for

Used to build automated data enrichment and outreach workflows by combining 100+ data providers (Clearbit, Apollo, LinkedIn, etc.) with AI-generated personalization. Growth and sales teams use it to research prospects at scale, enrich lead lists with firmographic data, and generate hyper-personalized email opening lines.

Getting started

Sign up at clay.com for a free trial with limited credits. Paid plans start at $134/mo (Starter). Build a table of leads, add enrichment columns from data providers (each with its own credit cost), and use the AI column to generate personalized content. Connect to your email tool for outreach.

Case studies

Real Clay projects

4.7% reply rate (3.9x industry avg) B2B Software

3k Prospects/Week at $0.12 Each — 4.7% Conversion

Series B B2B software company

Challenge

A B2B company's outbound team was manually researching prospects — averaging 20 minutes of research per lead to write personalized outreach. They could only reach 300 prospects per week per SDR.

Solution

Built a Clay waterfall enrichment workflow: LinkedIn scrape → company data → news triggers → AI-generated personalization using 6 data points per prospect. Output fed directly into Instantly for sequenced outreach.

Results

Throughput increased 10x to 3,000 prospects/week per SDR. Cost per prospect dropped from $8 to $0.12. Reply rate reached 4.7% (industry average: 1.2%). Qualified pipeline grew 180% in 6 months.

80 hrs/week saved across 20 AEs Enterprise Sales

Prospect Research Agent — 4 Hrs/Day Automated per Rep

Enterprise sales team, 20 AEs

Challenge

20 enterprise AEs were each spending 4 hours daily on account research before calls — pulling from LinkedIn, news, financials, and tech stack data manually. This was cutting into actual selling time.

Solution

Built a Clay-powered research agent that runs overnight: pulls from 8 data sources, enriches with AI summaries and talking points, and delivers a one-page brief in Slack each morning before the AE's first call.

Results

4 hours of daily research automated per rep — 80 hours/week across the team. AE call preparation quality scores (rated by managers) improved from 6.2 to 9.1/10. Close rate on researched accounts improved 31%.

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