For example: (Supply Driver Scenario) in Manhattan (USA), there may only be 5 pet sitters who look after large dogs. When a job is posted for an animal owners large dog to be looked after in Manhattan, the marketplace may require at least 10 pet sitters who meet this requirement. As they have to be available for the time the large dog requires pet sitting, the animal owner and the sitter have to interview each other (and like each other!) and the pay must be an amount the pet sitter is interested in earning.
(Demand Driven Scenario) In Shoreditch (UK) there are 20 large dog pet sitters. There is not enough work to go around for all of them to keep them engaged in the platform. Or if there is work, there is not enough work with the correct pay or amount of hours that the pet sitters are looking for. The marketplace may require 15 more pet owners with large dogs that are looking for a minimum 5 days work and/or a minimum pay of £100 for the whole job.
Once tamme understands "the magic number" so to speak by tracking every transaction, who takes the job, why they take the job, their behaviours and intents etc. tamme then ensures it reaches out to existing users though different ad channels to engage from both supply and demand as well as acquires new users just in the areas required. This is critical for any marketplace to achieve liquidity.