Marketing ops · Production
SisterLove scales nonprofit content creation with Zapier and ChatGPT, saving 192 hours in nine months
The problem
SisterLove's one-person digital marketing team spent six to eight hours creating content per keyword or topic, monopolizing time and slowing down growth.
Workflow diagram · grounded in source
1
Google Sheet input trigger
trigger
“By quickly filling in four simple columns of a Google Sheet, a Zap triggers”
2
ChatGPT content drafting
ai_action
“uses ChatGPT to draft blog, email, SMS, and social content on a provided keyword or topic”
Reported outcome
SisterLove saved more than 24 business days (192 hours) of work in nine months and created content that ranked number one for keywords in organic search.
Reported metrics
Business days saved24 business days
Hours of work saved192 hours
Time to create content per keyword or topic (baseline)six to eight hours
Reported stack
ZapierChatGPTOpenAIGoogle Sheet
Frequently asked questions
What did this team achieve with this AI workflow?
SisterLove saved more than 24 business days (192 hours) of work in nine months and created content that ranked number one for keywords in organic search.
What tools did this team use?
Zapier, ChatGPT, OpenAI, Google Sheet.
What results were reported?
Business days saved: 24 business days; Hours of work saved: 192 hours; Time to create content per keyword or topic (baseline): six to eight hours (source-reported, not independently verified).
How is this marketing ops AI workflow structured?
Google Sheet input trigger → ChatGPT content drafting.