Who actually uses these products,
and what made them stay.

The Apollo SDR

A sales development rep or account executive at a B2B company of 20–300 people who runs outbound prospecting as a core job function. Apollo is their prospecting database, their sequencing engine, and their activity tracker. They use it every day. They've built sequences that work and sequences that don't, and they've learned the difference by watching reply rates. They're not sentimental about approaches that aren't working. They test, they iterate, they move on.

“It happened mid-workflow — it's Monday.”

The Apollo Sales Development Rep

A sales development representative or outbound sales rep at a B2B company who uses Apollo as their prospecting command center. They build prospect lists from Apollo's database, enroll them in email sequences, track opens and replies, and try to book meetings. They send 50–200 outreach emails per day and know that personalization is the difference between a reply and the spam folder. They are a relationship builder working at volume, and they've developed an intuition for which prospects will respond and which won't.

“The shift was quiet.”

The Clay Growth Operator

A growth lead, revenue ops manager, or technical sales operator who found Clay and spent two weeks rebuilding their entire outbound motion around it. They were already combining data from LinkedIn, Apollo, Clearbit, and spreadsheets manually — a process that was slow, inconsistent, and unscalable. Clay collapsed that into one workflow. They now build outbound lists in hours that previously took weeks. They are evangelical about it. They're also aware that most people at their company don't understand what they've built.

“The head of sales wants a list of 500 Series B SaaS companies that have posted a VP of Sales job in .”

The Clay GTM Engineer

A GTM engineer, growth operations lead, or RevOps professional who uses Clay as their data enrichment and workflow engine. They build spreadsheet-like tables that pull from 50+ data providers — enriching companies with technographic data, finding decision-makers' emails, scoring leads based on signals, and triggering personalized outreach. They think in data transformations and API calls. They've replaced hours of manual prospect research with Clay workflows that run in minutes. They are the engineer of the sales pipeline's data layer.

“The shift was quiet.”