Runwork for Marketing Teams
One person's AI writes a great campaign report. Once.
Someone spent an afternoon getting their AI to pull numbers from Google Ads, Meta and LinkedIn into a report that actually reads well. Next month nobody can reproduce it. On Runwork that report becomes something the whole team's AI can run, on a schedule, whether or not anyone remembers to ask.
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The Challenge
- The good report happened once, and nobody can reproduce it
- The prompts that made it are in one person's chat history
- Numbers still get pulled by hand from Google Ads, Meta and LinkedIn
- Everything stops when the person who set it up is on vacation
- Every writer teaches their own AI your brand voice, differently
- You can't see which marketers are actually getting better with AI
The Runwork Solution
- The report your agent worked out runs every Monday, for the whole team
- Your brand voice and your metrics live in the team cloud, not in one chat
- Channel numbers arrive compiled, whether or not anyone remembers to ask
- It keeps running when the person who set it up is out
- A new marketer's AI knows how you write and what you measure on day one
- You can see who is improving with AI and who needs a hand
What your team gets
The campaign report, every week
The one someone's AI wrote beautifully once. Now it runs on a schedule in the team cloud and lands before the Monday meeting.
Your brand voice, in everyone's AI
How you write, what you never say, which claims are approved. Taught once, and every writer's AI opens with it.
Channel numbers in one place
Google Ads, Meta, LinkedIn and email pulled together, connected once for the team instead of once per person.
Lead scoring that keeps running
Your criteria, applied overnight, with the good ones already in HubSpot or Salesforce by morning.
A home for the things your AI makes
The little tracker or landing page your agent built has a real address, permissions and backups. No more digging through chats for a link.
A view of who is getting better
Adoption per person, so you can see where AI is actually changing the work.
A Day in the Life
7:30 AM: Performance check. Before standup you open the campaign view your colleague's AI put together in an afternoon. Yesterday's email hit 34% open rate. Google Ads, Meta and LinkedIn are in the same place, because those connections were made once for the team. You are not logging into five platforms.
9:00 AM: Content review. Three posts need approval. They are queued in the content calendar with drafts attached, and they already read like your brand, because the voice rules your editor taught her AI are in the team cloud now. You comment, approve in the workflow, and they publish on schedule.
11:00 AM: Lead review. 47 leads came in overnight, already scored on your criteria: title, company size, engagement. The top 12 are in Salesforce for sales, through integrations nobody had to set up twice.
2:00 PM: Event prep. The webinar is next week and the registration tracker is at 234. The reminder emails went out yesterday and the follow-up sequence is queued. The person who set that automation up is on vacation this week, which changed nothing.
4:00 PM: The report that used to happen once. The CMO needs numbers for the board. The scheduled version compiled overnight: performance, attribution, lead gen. Someone worked that out with their AI back in March, and it has run every week since, for everyone. You spend five minutes adding context on the Q4 push and send it. On the team dashboard you can see three other people ran it themselves this month, which is the actual sign it worked.
Frequently Asked Questions
How do we stop the good campaign report from being a one-off?
Does marketing need IT for any of this?
Can it learn our brand voice, not just our data?
Does it connect to our marketing stack?
Related Use Cases
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