GTM Channel Discovery: AI Imaging SaaS

The buyer was one specific person: an e-commerce or brand lead at a fashion retailer. The team was chasing that buyer across several very different channels with no idea which one actually landed. They needed to know where the buyer pays attention, and where the money was just going to the wrong place, before scaling.

• +Tested five channels to a qualified-demo goal: cold outbound, LinkedIn ads, Google search, Meta ads and brand partnerships
• +Pointed outbound directly at e-commerce and brand leads at target retailers
• +Measured to booked demos with real buyers, not form-fills
• +Compared channels on qualified pipeline, then reallocated fast

• +A ranking of the channels that produced demos with real buyers
• +Why each channel won or lost, based on how fashion brands actually buy software
• +A plan built around the channels that produced pipeline

• +Outbound won: a named, reachable buyer answered targeted, specific outreach
• +Google search and brand partnerships pulled their weight too, bringing smaller but real streams of brands who were already looking
• +Meta lost, and LinkedIn ads cost too much for what they returned. Both reached people, just not where a brand actually buys production software

This is a representative, anonymised composite of a go-to-market engagement. The client is described by what it does, never named, and the channel results illustrate the pattern we found rather than one account's exact figures. Each study reflects real engagement structure: channels were tested in parallel and measured against qualified pipeline, not vanity metrics. Talk to us about your channel mix.