1. Sign up
Brand signup should quickly capture enough account and company context to personalize the activation path. The updated signup work collects the partner user’s first name, last name, job role, company size, and brand/category context. Embedded signup widgets can also capture demand from marketing pages before routing users into the platform. Implementation notes- Use the brand/partner registration path from the Quickstart for API-based account creation.
- Instrument each signup step so funnel drop-off can be measured.
- Use brand category/industry signals later for athlete recommendations and search filtering.
2. Complete organization setup
The brand activation work is designed to reduce time-to-first-deal. After signup, brands should see relevant athletes quickly, understand why those athletes are a fit, and have a short path into deal creation. Recommended setup checkpoints:- company profile and business category complete;
- subscription/access status known;
- billing or payout-related requirements resolved if required for posting;
- first campaign objective or industry preference captured;
- relevant athlete discovery surfaced early.
3. Create or post a deal
The critical activation event for a self-service brand is posting the first deal, so the creation flow should make it easy to move from setup into a published opportunity. Deal creation should support two paths:- Standard creation
- AI-assisted creation
The brand creates a job/deal with deliverable requirements, compensation, deadlines, screening questions, and targeting criteria.
4. Review applicants and hire athletes
After a deal is posted, brands review applied, invited, interested, rejected, and hired athletes. Deal Management v2 separates applicants from hired athletes and introduces the MOGL AI Score to help brands evaluate fit. The MOGL AI Score is a 1–100 score indicating how well an athlete matches the deal criteria. It incorporates targeting criteria, athlete quality, and social media presence. Scores should be presented as decision support rather than an automatic hiring decision. Operational expectations:- sort applicants by MOGL AI Score where available;
- separate Applicants and Hired tabs;
- allow bulk message, bulk hire, and bulk approve where appropriate;
- provide external applicant/hired athlete list links for elite customers when CSM-assisted review is needed;
- clarify when an athlete is unranked.
5. Manage availability, contracts, and deliverables
Once an athlete is hired, the brand needs confidence that the athlete is still available and that deliverables are on track. Availability confirmation lets the athlete or agent confirm, decline, or request a new due date after hire. Brands can cancel contracts for athletes who do not confirm when cancellation is allowed. Deliverable management should support:- editing due dates for hired or ongoing deals;
- beginning dates that prevent premature proof-of-work submission;
- clear deliverable status labels such as In-Progress, Needs Approval, Resubmit Needed, Payment Processing, Paid, Voided, and Cancelled;
- proof-of-work requirements tied to deliverable types and social platform restrictions.
6. Review and report on performance
The Deliverables Detail Report gives brands a line-item view of campaign performance. It uses social media account connections and deliverable type metadata to report impressions, engagements, engagement rate, CPM, CPE, content previews, and exportable campaign data. Important reporting considerations:- engagement data and exports may be subscription-tiered;
- reporting depends on athlete OAuth/social connections and third-party API availability;
- missing or expired social media should produce clear “processing,” “not available,” or remediation states;
- brands need clear guidance for when performance data is delayed or unavailable.