Stream turns developer questions into qualified pipeline

Stream provides the real-time communication APIs and SDKs behind apps, including Chat, Video & Audio, Activity Feeds, and Moderation. Its customers range from developers building their own products to enterprise teams at widely used consumer apps.

For years, Stream’s marketing mix leaned heavily on content and paid search. But as developers began using AI assistants to work through technical questions, the company saw a new discovery surface take shape. The prompts developers brought to these assistants often sounded less like traditional keyword searches and more like working briefs: how to add chat to an app, how to build a video calling proof of concept, or which real-time messaging infrastructure could support a specific product need.

That shift made traditional audience targeting less useful for Stream. Rather than reaching developers based only on broad attributes, the company wanted to connect with people actively working through a relevant technical problem. Stream joined ChatGPT Ads to test whether conversational context could help identify those higher-intent moments.

Stream ran a campaign focused on helping developers get started quickly and adapted it for several platforms including ChatGPT Ads. Keeping the core goal consistent gave the team a useful way to compare channel performance while tailoring the message to each environment.

For ChatGPT Ads, Stream began testing concise, conversational copy that offered a useful next step to people already working through a relevant problem. Rather than treating the ad as a generic awareness message, the team aimed to meet developers in the moment they were ready to start building. That approach helped ChatGPT Ads stand out from the other channels in the test.

Stream evaluated ChatGPT Ads beyond top-of-funnel activity, looking at how often clicks became real website sessions, whether visitors took meaningful next steps, and whether those actions translated into pipeline. During a test conducted from June 5 through August 5, Stream compared ChatGPT Ads with other channels using comparable media spend.

The results pointed to meaningful engagement. In that test, more than 70% of ChatGPT Ads clicks became website sessions, compared with below 10% across the other channels tested.

Taken together, those signals translated into roughly 2x return on ad spend. Among the comparison channels in the test, ChatGPT Ads was the only one to drive a solid return, giving Stream confidence that the channel could contribute to pipeline, not just impressions.

ChatGPT Ads helped the company reach the right developers with messages that matched the problems they were working through. For a business with a specialized audience, that combination of audience fit and timely relevance matters: it creates opportunities to connect with potential customers as they move from early exploration toward a defined product need.

As developer behavior continues to shift toward AI-assisted workflows, Stream plans to keep refining how it shows up in those moments, from the context it describes to the next steps its ads offer. What began as a new-channel experiment is becoming a more durable acquisition opportunity: a way to connect relevant questions with a useful solution, then measure whether that relevance carries through to pipeline and growth.