The programs below are from five years inside creator economy GTM at scale. The same type of problems, now taken on for clients.
Everything here is work I ran from the inside: designing, launching, and scaling creator programs at a major global platform across APAC. It's the same knowledge Airtime engagements are built on.
Creator supply existed across every APAC market but no formal commercial program existed to connect it to brand advertisers. There was no contracted agency network, no structure for how creator content should translate to brand media spend, and no measurement framework to track what the program produced. The work started from a blank page.
A brand deal program spanning 8 markets, built on a content-for-media-commitment structure: tiered package design calibrated by market maturity, a contracted agency network assessed and selected per market based on commercial capability, and a deal pipeline monitoring system tracking volume and media conversion by market and agency. Package structure and contracting were differentiated market by market because commercial capability varied significantly across the region.
When a platform describes a creator supply problem, the actual diagnosis is almost always a commercial conversion problem: the agency ecosystem and deal structure haven't been built to close commitments. Signal Check establishes whether the constraint is creator supply or commercial conversion before anything else gets built.
Large creator portfolios across multiple markets, but no systematic logic for which creators warranted which level of service or how portfolio composition should differ by market. Partner management decisions were driven by relationship history and team familiarity rather than commercial logic, producing uneven resource allocation and persistent unresponsiveness from creators elevated into managed programs without the engagement history to justify it. The root cause was in the service model design and activation sequencing. Creator unresponsiveness was the surface symptom, and correcting the underlying system resolved it.
A service model with logic-based commercial viability thresholds, vertical-specific criteria for tier inclusion, and market-level portfolio ratio derivation. A separate Acquisitions model built from scratch for creators newly elevated into managed programs, distinct from the model for established managed partners. A diagnostic framework for identifying and resolving partner unresponsiveness by distinguishing root causes rather than applying a single response.
When clients describe creator unresponsiveness as a problem, the root cause is almost always in the service model design or activation sequencing, not the relationship. Fixing the relationship without fixing the underlying model produces the same results next quarter.
Launched a new vertical for a category of high-profile talent who were already established on Instagram but barely present on the platform. The organic, supply-first approach stalled quickly. This talent already earned well from their Instagram brand deals, among other lucrative revenue streams, so reach alone was not enough to pull them across. Their channels also hit real product friction, from a cold-start problem in discovery to their official content being outranked by fan uploads. In many cases they were not yet producing the kind of content their audiences expected, so there was little for the platform to surface.
The fix was to lead with monetization rather than reach, and to be deliberate about which talent I brought on. The cohort that worked treated the platform as a genuine second career and built long-form, narrative content made for it, rather than reposting their Instagram reels. I secured premium brand deals, shopping integrations and events for these lighthouse channels first, and those commercial outcomes in turn became proof that the platform was worth their time. Alongside it, I worked with product to determine solutions for the discovery problems, and gave the priority launches white-glove onboarding.
When supply-side acquisition is stalling, the first question is what motivates the creator category being targeted. If the answer is financial, organic acquisition without monetization proof will not work regardless of how the algorithm is tuned. The fix starts with sequencing, not platform mechanics.
Rolled out a new GenAI product across APAC. Although it was live, adoption stalled almost immediately. The rollout depended on talent agencies to bring their talent onto the product, and onboarding a single one that way was taking up to 170 days. The activation model was the bottleneck.
I moved the rollout off the agency-led model and onto direct, one-to-one onboarding, working with the talent and their teams to activate them without waiting on an agency. That brought the timeline down sharply and secured eleven activations. When regulations later paused the product in one market, I ran the internal communications with legal, cascading the guidance to partner managers who then managed the response with the agencies, while the rollout continued in other markets.
When adoption of a new product stalls, the activation model is usually the first thing to examine, before the product or messaging. The bigger lesson is to read the early signals and recalibrate the approach quickly, rather than waiting to see how it plays out and losing months in the process.
The diagnostic tells you which engagement fits your situation. Or if you already know, email directly.
Take the diagnostic →