Apollo
AI copywriter for outbound sales messages
Apollo's Claude-written sales messages lifted meeting bookings by 35%
Problem
Apollo runs a sales engagement platform used by thousands of sales teams. Reps needed outbound messages that were personal to each prospect without hours of manual writing.
Approach
Apollo built Claude 3.5 Haiku into its platform in four places. It drafts outbound emails and follow-ups, combines Apollo data with outside signals such as news and hiring, matches each rep's voice and tone, and fills its template library with generated content.
Results
Takeaway
Apollo ties the gain to message quality and to time saved by reps. The company did not say how the retention figure was measured.
Categories
- Size
- Small business
- Industry
- Technology and telecom
- Business function
- Marketing and sales
- Innovation type
- Product and service innovation
- AI technology
- Generative AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
Anthropic describes how Apollo uses Claude 3.5 Haiku for email drafting, signal aggregation, voice matching and template content. It reports a 35% boost in meeting bookings, a 76% preference in blind tests, an 80% cut in writing time at one customer, and more than 5 million messaging actions a month. The page carries no date; the Internet Archive first saved it on October 1, 2025.
Full details are in the original sources.