Rebel Power Hour #9 Marketing workflows to transform how marketing teams produce content and manage campaigns

Link to live session here

Power Hour #9: Marketing Workflows with Kofo Adebiyi Mindstone’s Product Marketing Manager who be demonstrating two workflows that transform how marketing teams produce content and manage campaigns:

Workflow 1: Content Production
End-to-end content production — from story development to published asset.

What Rebel does:
Develops the story — gathers the raw elements from across your systems, identifies what’s missing, and determines the strongest narrative to tell
Drafts to your standard — follows a structured writing process with quality gates and claim verification, not just “write me a thing”
Revises and polishes — iterates on the draft with you until it’s aligned, flags anything it can’t verify
Produces the final output — HTML, PDF, or deck, ready to publish

Key benefit: Amplifies your output (more content, same time), accelerates production (from hours to one conversation), enhances quality (professional standard enforced every time), and extends your capability (formats you couldn’t produce alone).

Workflow 2: Multi-System Campaign Intelligence
Automated intelligence across your campaign channels — so you can adjust while it’s still live.

What Rebel does:
Pulls data across systems — connects to your registration platform, CRM email engagement, and outreach tools simultaneously, where no single system gives you the full picture
Analyses and attributes — cross-references across those sources to score leads, attribute by channel, and surface which channels are driving results
Reports automatically — delivers a formatted intelligence report to Slack every morning without you triggering it
Enables faster decisions — you see what’s working and what isn’t while the campaign is still live, not in a post-mortem weeks later

Key benefit: Amplifies your visibility (every lead, every channel, every day), accelerates decision-making (act on today’s data, not last week’s), enhances consistency (same attribution logic applied every run), and extends your capability (cross-referencing multiple disconnected systems daily is work that simply wouldn’t happen manually).

Building Approach: Built these by running through each process manually with AI first — understanding the pitfalls, identifying where quality drops under time pressure, then encoding that domain expertise into reusable skills.

Technical highlights: Multi-connector orchestration (HubSpot + Notion + Mindstone platform + Slack + Instantly), multi-format output (HTML, PDF, Gamma), automated daily reporting, and quality-gated claim verification.