Tushy201011elsajeanarianamarieinfluence [better] Jun 2026
The feature is structured as a multi-part narrative (5 parts plus an "Encore" episode): Rise to Fame:
| Epic | User Story (example) | Acceptance Criteria | |------|----------------------|----------------------| | | As Elsa, I want to create a new campaign brief and assign tasks to each influencer. | - A “New Campaign” button opens a modal. - Fields: Title, Brand, Goal, Start/End dates, Budget, Assigned Influencers (multiselect). - Auto‑generated unique ID (e.g., tushy201011‑C001 ). | | 2️⃣ Asset Hub | As Jean, I can upload images/videos and tag them per influencer. | - Drag‑and‑drop upload area. - Each file shows thumbnail, size, tags, and who it’s assigned to. - Files stored in an S3 bucket with signed URLs. | | 3️⃣ KPI Dashboard | As Ariana, I want to see real‑time follower growth, engagements, and revenue per influencer. | - Pulls data from Instagram Graph API, TikTok Business API, YouTube Reporting API (via server‑side jobs). - Graphs: Followers, Views, Click‑through Rate, Earned Revenue. - Filters: Date range, influencer, platform. | | 4️⃣ Revenue‑Share Engine | As Marie, I need the system to calculate each influencer’s payout based on a 40/30/20/10 split. | - Admin can configure split percentages per campaign. - At campaign close, the engine runs: payout = totalRevenue * split% . - Results stored in a payouts table and visible in “Payments” tab. | | 5️⃣ Exportable Report | As the brand liaison, I can download a PDF that shows all campaign KPIs. | - “Export Report” button creates a PDF with: campaign brief, asset list, KPI graphs, payout table. - PDF includes brand logo (uploaded by admin). | | 6️⃣ Secure Chat & Activity Log | As any user, I can discuss the campaign inside the app and see an audit trail. | - Real‑time chat powered by WebSocket/Socket.io. - Every action (upload, edit, payout) is logged with userId , timestamp , action . - Only users with view permission can read logs. | tushy201011elsajeanarianamarieinfluence
When a keyword combines two names with a brand and a date, the user is likely performing a comparative influence audit: Who drove more engagement? Which scene had higher retention? How does a 2011 release (early in both careers) compare to later work? The feature is structured as a multi-part narrative
brought a specific "girl-next-door" archetype that helped mainstream the brand. - Auto‑generated unique ID (e