Mailchimp × Lung Cancer Research Foundation
Mailchimp x LCRF, Automating a 2-Person Team Out of Manual Hell
20 hours saved per month
Manual workarounds and guesswork to automated workflows and reliable data
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Why it works
The story leads with time saved and manual effort eliminated, which locks in Efficiency as the primary type. The open rate and opt-in lifts are real gains but serve as proof of list quality rather than headline growth claims. The competitive switch from a named legacy platform is explicit, and the small-team framing makes the efficiency wins feel visceral rather than abstract.
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Quantify the compounding cost of manual work: converting 3-5 hours per week into '4 full work weeks per year' makes the efficiency case land harder than a raw hourly number alone.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Mailchimp's published work; we link to the source and lead with our analysis.