The buying path
- Discovery or referral → booking brief → date/venue/technical fit → fee and terms → confirmed booking → delivery and repeat booking.
MMG for Artists, DJs, and Labels
Streams and followers are not income. A booking is. MMG treats every booking enquiry, from a promoter, a venue, or a client planning an event, with the urgency it deserves, and keeps a record of which ones turned into paid work.
What this looks like
01
A booking enquiry through Instagram or WhatsApp gets a fast, professional reply, including availability and rate, while the promoter is still deciding.
02
A promoter who asked about a date but went quiet gets one considered follow up, not silence and not five reminders.
03
Content and promotion get paced around the release or event calendar, not a generic weekly posting plan.
What this looks like in practice
A DJ booking enquiry for a private event, sent on a Thursday night, answered within the hour, confirmed by Friday morning, with the exchange kept in the Proof Ledger against what the booking paid.
A stronger industry fit
Plan around how artists, djs, and labels customers actually decide.
MMG uses these questions to shape a useful plan, then adapts it to your own offer, capacity, customer data, and market. The playbook is a starting framework, not a claim that every business works the same way.
What to learn first
- Event date, location, format, set length, audience/event type, technical needs, budget range, and decision deadline.
Where the money goes
- Net fee after travel/production, booking source, calendar utilisation, merchandise or licensing income where relevant, and repeat promoter value.
How growth can compound
- Performance proof → promoter trust → repeat booking; release or event → owned audience sign-up → next launch.
What to measure
- Qualified booking requests, response time, proposal acceptance, net booking value, repeat promoters, and owned-audience growth.
Trust and safety
- Use only approved assets, accurate credits and rights, verified availability, and agreed rates. Never promise audience size or event outcomes.
Recommendations depend on accurate business information. Publishing, messaging, ad spend, and third-party actions depend on supported connections, your permissions, and approval settings.