To support smaller partners who lack marketing resources, vendors can offer a concierge service through their partner demand center. This provides hands-on human help for executing pre-built, turnkey campaigns. This model drives significant adoption and results from the long-tail segment, which often feels neglected by vendors.

As ad platforms like Google automate bid management, an agency's value is no longer in manual "button pushing." The new competitive edge is the ability to feed the platform's AI with superior client data and insights. Agencies that cannot access and leverage this data will struggle to demonstrate value.

Agencies are optimized for efficiency, stifling the creative experimentation needed for platforms like Meta. Top-performing brands employ an in-house strategist whose sole job is generating a high volume of diverse, "wacky" ad concepts—a function that can't be effectively outsourced.

Instead of creating everything from scratch, Klue's Compete Network began by aggregating content and partnering with existing thought leaders. They provided the production 'plumbing,' allowing creators to focus on their expertise, which accelerated the network's growth and value.

When creating partner marketing assets, avoid bespoke one-offs. Instead, build foundational tools that the partner with the fewest resources can use 'out of the box.' This ensures scalability, as more advanced partners can still adapt and customize the core components for their own needs.

Instead of just using platforms, Digitas identifies gaps in its workflow and partners with platforms to build solutions. They saw strategists manually mining Reddit for insights, so they collaborated with Reddit to create a Community Insights AI product, turning an internal process into a scalable tool and competitive advantage.

The next evolution of partner marketing is a shift from one-to-one campaigns to an 'ecosystem-centric' model. This involves weaving together technology alliances, distributors, and service partners into a single, cohesive 'better together' narrative. This multi-partner storytelling is far more impactful and resonant for customers than siloed vendor messages.

Brands miss opportunities by testing product, packaging, and advertising in silos. Connecting these data sources creates a powerful feedback loop. For example, a consumer insight about desirable packaging can be directly incorporated into an ad campaign, but only if the data is unified.

In the AI era, shift from silos like 'Demand Gen' to cross-functional pods focused on outcomes like 'Brand Relationship' or 'Product Delight.' This model, inspired by product development, aligns teams to solve specific customer problems and better integrates AI agents directly into core workflows.