We scan new podcasts and send you the top 5 insights daily.
Leading data science at ad-tech firm AppNexus revealed that buy-side and sell-side teams were inadvertently sabotaging each other. The solution was a "marketplace czar" role focused on optimizing the entire ecosystem, for instance, by creating a unified revenue forecast that recognized the deep coupling between both sides.
Brands often separate trade marketing and retail media budgets, creating strategic gaps. This mirrors the early days of programmatic advertising, where direct sales and automated ad teams were siloed. The solution requires a holistic approach to workflows and relationships, not just reallocating funds between competing P&Ls.
Effective marketers focus on creating holistic, integrated systems that adapt to any platform change. In contrast, reactive marketers get stuck in a cycle of seeking short-term solutions to isolated problems like algorithm updates or underperforming ads, never achieving long-term stability.
Quantitative data shows trends but can't explain why a restaurant partner isn't using a feature. True understanding for a three-sided marketplace comes from on-the-ground observation and conversation with consumers, partners, and couriers to uncover operational realities data can't capture.
The battle over attribution isn't a personality conflict but a systemic issue. It's caused by measuring marketing on MQLs and sales on closed revenue. Unifying both teams under a single, shared revenue goal eliminates this friction and fosters collaboration.
Conative.ai bridges the gap between marketing and inventory teams, who traditionally operate in isolation. By presenting a unified view of marketing campaign data alongside inventory levels, the platform serves as a common ground that forces collaboration and breaks down organizational silos, leading to better-informed decisions.
To break silos and drive performance, companies can structure internal functions like marketing or IT as competing agencies. Product teams can 'hire' the internal department of their choice, creating a marketplace that forces support functions to operate with a P&L and be truly customer-centric.
Sales and marketing teams historically waste time debating whose data is correct. A centralized, trusted data platform that both teams can query with natural language eliminates these arguments, creating a single source of truth and freeing up time for strategic work.
Marketing inefficiency and burnout often stem from disconnected technology, not poor teamwork. Teams spend excessive time on manual tasks like tagging and integrating data between systems. The solution is to audit this time and implement AI-driven, outcome-based systems that automate these connections, rather than hiring more people to patch the problem.
When product, marketing, and sales all compete for seller attention, enablement becomes highly political. The solution isn't to mediate these conflicts directly. Instead, build an objective system with clear governance and processes. This system becomes the arbiter of priority, sidelining political influence and focusing on customer-centric outcomes.
Individual sellers, driven by quarterly targets, may try to reduce partner margins on deals where they "did all the work." A well-designed partner program must enforce fair compensation regardless of a single deal's dynamics. This ensures partners can reinvest in future growth, prioritizing the long-term health of the ecosystem.